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Furthermore, the extracellular pH of gliomas is relatively acidic suggesting that tumor selectivity could be further enhanced if nanoparticles can be designed to cationize in such an environment. With these motivating hypotheses the objective of this study was to determine whether nanoparticulate (20 nm) micelles could be designed to improve their deposition within gliomas in an animal model. To test this, we performed intra-arterial injection of micelles labeled with an optically quantifiable dye. We observed significantly greater deposition (end-tissue concentration) of cationizable micelles as compared to non-ionizable micelles in the ipsilateral hemisphere of normal brains. More importantly, we noted enhanced deposition of cationizable as compared to non-ionizable micelles in glioma tissue as judged by semiquantitative fluorescence analysis. Micelles were generally able to penetrate to the core of the gliomas tested. Thus we conclude that cationizable micelles may be constructed as vehicles for facilitating glioma-selective delivery of compounds after intraarterial injection.",{"EN":245,"VI":246},"Cationizable lipid micelles as vehicles for intraarterial glioma treatment","Micelle lipid có khả năng cation hóa làm chất mang trong điều trị u thần kinh đệm qua đường động mạch",{"VOID":248},"Janmey PA, Kinnunen PK (2006) Biophysical properties of lipids and dynamic membranes. Trends Cell Biol 16(10):538–546. doi:10.1016\u002Fj.tcb.2006.08.009\nMarquez M, Nilsson S, Lennartsson L, Liu Z, Tammela T, Raitanen M, Holmberg AR (2004) Charge-dependent targeting: results in six tumor cell lines. Anticancer Res 24(3a):1347–1351\nAbercrombie M, Ambrose EJ (1962) The surface properties of cancer cells: a review. Cancer Res 22:525–548\nDobrzynska I, Skrzydlewska E, Figaszewski ZA (2013) Changes in electric properties of human breast cancer cells. J Membr Biol 246(2):161–166. doi:10.1007\u002Fs00232-012-9516-5\nDobrzynska I, Szachowicz-Petelska B, Darewicz B, Figaszewski ZA (2015) Characterization of human bladder cell membrane during cancer transformation. J Membr Biol 248(2):301–307. doi:10.1007\u002Fs00232-015-9770-4\nJo DH, Kim JH, Lee TG, Kim JH (2015) Size, surface charge, and shape determine therapeutic effects of nanoparticles on brain and retinal diseases. Nanomed Nanotechnol Biol Med 11(7):1603–1611. doi:10.1016\u002Fj.nano.2015.04.015\nGarcia-Martin ML, Martinez GV, Raghunand N, Sherry AD, Zhang S, Gillies RJ (2006) High resolution pH(e) imaging of rat glioma using pH-dependent relaxivity. Magn Reson Med 55(2):309–315. doi:10.1002\u002Fmrm.20773\nJoshi S, Singh-Moon RP, Wang M, Chaudhuri DB, Holcomb M, Straubinger NL, Bruce JN, Bigio IJ, Straubinger RM (2014) Transient cerebral hypoperfusion assisted intraarterial cationic liposome delivery to brain tissue. J Neurooncol 118(1):73–82. doi:10.1007\u002Fs11060-014-1421-6\nJoshi S, Wang M, Etu JJ, Suckow RF, Cooper TB, Feinmark SJ, Bruce JN, Fine RL (2008) Transient cerebral hypoperfusion enhances intraarterial carmustine deposition into brain tissue. J Neurooncol 86(2):123–132. doi:10.1007\u002Fs11060-007-9450-z\nJoshi S, Singh-Moon RP, Ellis JA, Chaudhuri DB, Wang M, Reif R, Bruce JN, Bigio IJ, Straubinger RM (2015) Cerebral hypoperfusion-assisted intra-arterial deposition of liposomes in normal and glioma-bearing rats. Neurosurgery 76(1):92–100. doi:10.1227\u002FNEU.0000000000000552\nJoshi S, Singh-Moon R, Wang M, Chaudhuri DB, Ellis JA, Bruce JN, Bigio IJ, Straubinger RM (2014) Cationic surface charge enhances early regional deposition of liposomes after intracarotid injection. J Neurooncol 120(3):489–497. doi:10.1007\u002Fs11060-014-1584-1\nNguyen J, Sievers R, Motion JPM, Kivimae S, Fang QZ, Lee RJ (2015) Delivery of lipid micelles into infarcted myocardium using a lipid-linked matrix metalloproteinase targeting peptide. Mol Pharmaceut 12(4):1150–1157. doi:10.1021\u002Fmp500653y\nWalsh CL, Nguyen J, Szoka FC (2012) Synthesis and characterization of novel zwitterionic lipids with pH-responsive biophysical properties. Chem Commun 48(45):5575–5577. doi:10.1039\u002Fc2cc31710a\nBigio IJ, Bown SG (2004) Spectroscopic sensing of cancer and cancer therapy: current status of translational research. Cancer Biol Ther 3(3):259–267\nMourant JR, Johnson TM, Los G, Bigio IJ (1999) Non-invasive measurement of chemotherapy drug concentrations in tissue: preliminary demonstrations of in vivo measurements. Phys Med Biol 44(5):1397–1417\nReif R, Wang M, Joshi S, A’Amar O, Bigio IJ (2007) Optical method for real-time monitoring of drug concentrations facilitates the development of novel methods for drug delivery to brain tissue. J Biomed Opt 12(3):034036\nErgin A, Wang M, Zhang J, Bigio I, Joshi S (2012) Noninvasive in vivo optical assessment of blood brain barrier permeability and brain tissue drug deposition in rabbits. J Biomed Opt 17(5):057008\nMourant JR, Bigio IJ, Jack DA, Johnson TM, Miller HD (1997) Measuring absorption coefficients in small volumes of highly scattering media: source-detector separations for which path lengths do not depend on scattering properties. Appl Opt 36(22):5655–5661\nJoshi S, Singh-Moon R, Wang M, Chaudhuri DB, Ellis JA, Bruce JN, Bigio IJ, Straubinger RM (2014) Cationic surface charge enhances early regional deposition of liposomes after intracarotid injection. J Neurooncol. doi:10.1007\u002Fs11060-014-1584-1\nJoshi S, Ellis JA, Ornstein E, Bruce JN (2015) Intraarterial drug delivery for glioblastoma mutiforme: will the phoenix rise again? J Neurooncol 124(3):333–343. doi:10.1007\u002Fs11060-015-1846-6\nHardebo JE, Nilsson B (1979) Estimation of cerebral extraction of circulating compounds by the brain uptake index method: influence of circulation time, volume injection, and cerebral blood flow. Acta Physiol Scand 107(2):153–159\nVaupel P, Kallinowski F, Okunieff P (1989) Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review. Cancer Res 49(23):6449–6465\nKallinowski F, Vaupel P (1988) pH distributions in spontaneous and isotransplanted rat tumours. 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             \u003Cjats:title>Purpose\u003C\u002Fjats:title>\n              \u003Cjats:p>Glioblastoma (GBM) is the most frequent glioma in adults with a high treatment resistance resulting into limited survival. The individual prognosis varies depending on individual prognostic factors, that must be considered while counseling patients with newly diagnosed GBM. The aim of this study was to elaborate a risk stratification algorithm based on reliable prognostic factors to facilitate a personalized prognosis estimation early on after diagnosis.\u003C\u002Fjats:p>\n            \u003C\u002Fjats:sec>\u003Cjats:sec>\n              \u003Cjats:title>Methods\u003C\u002Fjats:title>\n              \u003Cjats:p>A consecutive patient cohort with confirmed GBM treated between 2010 and 2021 was retrospectively analyzed. Clinical, radiological, and molecular parameters were assessed and included in the analysis. Overall survival (OS) was the primary outcome parameter. After identifying the strongest prognostic factors, a risk stratification algorithm was elaborated with estimated odds of survival.\u003C\u002Fjats:p>\n            \u003C\u002Fjats:sec>\u003Cjats:sec>\n              \u003Cjats:title>Results\u003C\u002Fjats:title>\n              \u003Cjats:p>A total of 462 GBM patients were analyzed. The strongest prognostic factors were Charlson Comorbidity Index (CCI), extent of tumor resection, and adjuvant treatment. Patients with CCI ≤ 1 receiving tumor resection had the highest survival odds (88% for 10 months). On the contrary, patients with CCI > 3 receiving no adjuvant treatment had the lowest survival odds (0% for 10 months). 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J Neurosurg 115:3–8",{"doi":697},"10.3171\u002F2011.2.JNS10998",{"id":18,"text":699,"url":18,"identifiers":700},"Stummer W, Pichlmeier U, Meinel T, Wiestler OD, Zanella F, Reulen H-J, ALA-Glioma Study Group (2006) Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. Lancet Oncol 7:392–401",{"doi":701},"10.1016\u002FS1470-2045(06)70665-9",{"id":18,"text":703,"url":18,"identifiers":704},"Stummer W, Reulen H-J, Meinel T, Pichlmeier U, Schumacher W, Tonn J-C, Rohde V, Oppel F, Turowski B, Woiciechowsky C et al (2008) Extent of resection and survival in glioblastoma multiforme: identification of and adjustment for bias. Neurosurgery 62:564–576",{"doi":705},"10.1227\u002F01.neu.0000317304.31579.17",{"id":18,"text":707,"url":18,"identifiers":708},"Lacroix M, Abi-Said D, Fourney DR, Gokaslan ZL, Shi W, DeMonte F, Lang FF, McCutcheon IE, Hassenbusch SJ, Holland E et al (2001) A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg 95:190–198",{"doi":709},"10.3171\u002Fjns.2001.95.2.0190",{"id":18,"text":711,"url":18,"identifiers":712},"Krex D, Klink B, Hartmann C, von Deimling A, Pietsch T, Simon M, Sabel M, Steinbach JP, Heese O, Reifenberger G et al (2007) Long-term survival with glioblastoma multiforme. Brain J Neurol 130:2596–2606",{"doi":713},"10.1093\u002Fbrain\u002Fawm204",{"id":18,"text":715,"url":18,"identifiers":716},"Kreth F-W, Thon N, Simon M, Westphal M, Schackert G, Nikkhah G, Hentschel B, Reifenberger G, Pietsch T, Weller M et al (2013) Gross total but not incomplete resection of Glioblastoma prolongs survival in the era of radiochemotherapy. Ann Oncol off J Eur Soc Med Oncol 24:3117–3123",{"doi":717},"10.1093\u002Fannonc\u002Fmdt388",{"id":18,"text":719,"url":18,"identifiers":720},"Ius T, Pignotti F, Della Pepa GM, La Rocca G, Somma T, Isola M, Battistella C, Gaudino S, Polano M, Dal Bo M et al (2020) A Novel Comprehensive Clinical Stratification Model to refine prognosis of Glioblastoma patients Undergoing Surgical Resection. Cancers 12:386",{"doi":721},"10.3390\u002Fcancers12020386",{"id":18,"text":723,"url":18,"identifiers":724},"Perry JR, Laperriere N, O’Callaghan CJ, Brandes AA, Menten J, Philips C, Fay M, Nishikawa R, Cairncross JG, Roa W, Osoba D, Rossiter JP, Sahgal A, Hirte H, Laigle-Donadey F, Franceschi E, Chinot O, Golfinopoulos V, Fariselli L, Wick A, Feuvret L, Back M, Tills M, Winch C, Baumert BG, Wick W, Ding K, Mason WP (2017) Short-course radiation plus temozolomide in elderly patients with glioblastoma. N Engl J Med 376:1027–1037",{"doi":725},"10.1056\u002FNEJMoa1611977",{"id":18,"text":727,"url":18,"identifiers":728},"Curran WJ, Scott CB, Horton J, Nelson JS, Weinstein AS, Fischbach AJ, Chang CH, Rotman M, Asbell SO, Krisch RE, Nelson DF (1993) Recursive partitioning analysis of prognostic factors in three Radiation Therapy Oncology Group malignant glioma trials. J Natl Cancer Inst 85:704–710",{"doi":729},"10.1093\u002Fjnci\u002F85.9.704",{"id":18,"text":731,"url":18,"identifiers":732},"Mirimanoff RO, Gorlia T, Mason W, van den Bent MJ, Kortmann RD, Fisher B, Reni M, Brandes AA, Curschmann J, Villa S, Cairncross G, Allgeier A, Lacombe D, Stupp R (2006) Radiotherapy and temozolomide for newly diagnosed glioblastoma: recursive partitioning analysis of the EORTC 26981\u002F22981-NCIC CE3 phase III randomized trial. J Clin Oncol 24:2563–2569",{"doi":733},"10.1200\u002FJCO.2005.04.5963",{"id":18,"text":735,"url":18,"identifiers":736},"Pichlmeier U, Bink A, Schackert G, Stummer W, ALA Glioma Study Group (2008) Resection and survival in glioblastoma multiforme: an RTOG recursive partitioning analysis of ALA study patients. Neuro Oncol 10:1025–1034",{"doi":737},"10.1215\u002F15228517-2008-052",{"id":18,"text":739,"url":18,"identifiers":740},"Wee CW, Kim E, Kim N, Kim IA, Kim TM, Kim YJ, Park CK, Kim JW, Kim CY, Choi SH, Kim JH, Park SH, Choe G, Lee ST, Chang JH, Kim SH, Suh CO, Kim IH (2017) Novel recursive partitioning analysis classification for newly diagnosed glioblastoma: a multi-institutional study highlighting the MGMT promotor methylation and IDH1 gene mutation status. Radiother Oncol 123:106–111",{"doi":741},"10.1016\u002Fj.radonc.2017.02.014",{"id":18,"text":743,"url":18,"identifiers":744},"Bell EH, Pugh SL, McElroy JP, Gilbert MR, Mehta M, Klimowicz AC, Magliocco A, Bredel M, Robe P, Grosu AL, Stupp R, Curran W, Becker AP, Salavaggione AL, Barnholtz-Sloan JS, Aldape K, Blumenthal DT, Brown PD, Glass J, Souhami L, Lee RJ, Brachman D, Flickinger J, Won M, Chakravarti A (2017) Molecular-based recursive partitioning analysis (RPA) model for glioblastoma in the temozolomide era: a correlative analysis based upon NRG Oncology RTOG 0525. JAMA Oncol 3:784–792",{"doi":745},"10.1001\u002Fjamaoncol.2016.6020",{"id":18,"text":747,"url":18,"identifiers":748},"Woo P, Ho J, Lam S, Ma E, Chan D, Wong WK, Mak C, Lee M, Wong ST, Chan KY, Poon WS (2018) A comparative analysis of the usefulness of survival prediction models for patients with glioblastoma in the temozolomide era: the importance of methylguanine methyltransferase promotor methylation, extent of resection, and subventricular zone location. World Neurosurg 115:e375–e385",{"doi":749},"10.1016\u002Fj.wneu.2018.04.059",{"id":751,"createTime":752,"updateTime":753,"relativeEntities":754,"slug":755,"properties":756,"entityType":251,"verifyStatus":252,"verifyTime":767,"verifyNote":254,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":768,"fullTextUrl":18,"authors":769,"publicationType":410,"publisherRelationship":896,"citationCount":19,"citationInfo":955,"publishDate":958,"publishYear":956,"citationAnalyzeStatus":959,"lastCitationAnalyze":960,"indexDatabases":961,"openAccess":18,"references":18,"isForceReanalyzing":473},"1ba66777-382d-475b-8135-79b5455e0d3a","2024-02-06T18:54:22.324+00:00","2026-08-20T01:02:32.802+00:00",[],"Intratumoral-infusion-of-topotecan-prolongs-survival-in-the-nude-rat-intracranial-U87-human-glioma-model",{"abstract":757,"title":759,"gsPaper":761,"references":763,"doi":765},{"EN":758},"Topotecan is a topoisomerase (topo) I inhibitor with promising activity in preclinical studies. We hypothesized that low-dose intratumoral delivery of topotecan would be highly effective for gliomas. Human glioma cell lines (U87, U138 and U373) displayed different sensitivities to topotecan (IC50 range: 0.037 μM to 0.280 μM) in cell culture. The most resistant of the glioma cell lines (U87) was implanted stereotactically into the brains of nude rats. Twelve days later, at which time tumor diameter measured 2 to 2.5 mm, animals were randomized to three groups: group I, intratumoral topotecan infused via osmotic pump (n = 12); group II, intratumoral saline infusion (n = 7); and group III, no treatment (n = 10). Animals were sacrificed when signs of deterioration developed, or at 60 days. Animals in group I had a mean survival time (MST) of > 55 days (range=40–60); whereas, those in groups II and III had MST of 26.1 (range=21–31) and 26.5 (range = 20–30) days, respectively. The differences in survival between group I and each of the other groups were statistically significant (p \u003C 0.0001; Logrank Mantel-Cox). None of the animals that survived 60 days had histological evidence of residual tumor at sacrifice. Measurement of topotecan levels in normal brain revealed cytotoxic concentrations up to 4.5 mm from the site of infusion. This study demonstrates that intratumoral topotecan delivered via an osmotic pump prolongs survival in the U87 human glioma model.",{"EN":760},"Intratumoral infusion of topotecan prolongs survival in the nude rat intracranial U87 human glioma model",{"VOID":762},"[\"7446486672756179361\"]",{"VOID":764},"Burris HA III, Fields SM: Topoisomerase I inhibitors. An overview of the camptothecin analogs. Hematol\u002FOncol Clin N AM 8(2): 333–355, 1994\nKingsbury WD, Boehm JC, Jakas DR, Holden KG, Hecht SM, Gallagher G, Caranfa MJ, McCabe FL, Faucette LF, Johnson RK, Hertzberg RP: Synthesis of water soluble (aminoalkyl) camptothecin analogues: inhibition of topoisomerase I and antitumor activity. J Med Chem 34: 98–107, 1991\nSlichenmcyer WJ, Rowinsky EK, Donchower RC, Kaufmann SH: The current status of camptothecin analogues as antitumor agents. J Natl Cancer Inst 85(4): 271–291, 1993\nChen AY, Liu LF: DNA topoisomerases, essential enzymes and lethal targets. Ann Rev Pharmacol Toxicol 34: 191–128, 1994\nEng W-K, Faucette L, Johnson RK, Sternglanz R: Evidence that DNA topoisomerase I is necessary for the cytotoxic effects of camptothecin. Mol Pharmacol 34: 755–760, 1988\nHsiang Y-H, Lihou GM, Liu LF: Arrest of DNA replication by drug-stabilized topoisomerase I-DNA cleavable complexes as a mechanism of cell killing by camptothecin. Cancer Res 49: 5077–5082, 1989\nBurris HA III, Hanauske AR, Johnson RK, Marshall MH, Kuhn JG, Hilsenbeck SG, Von Hoff DD: Activity of topotecan, a new topoisomerase inhibitor, against human tumor colony-forming units in vitro. J Natl Cancer Inst 84: 1816–1820, 1992\nHoughton PJ, Cheshire PJ, Myers L, Stewart CF, Synold TW, Houghton JA: Evaluation of 9-dimethylaminomethyl-10-hydroxycamptothecin against xenografts derived from adult and childhood solid tumors. Cancer Chemother Pharmacol 31(3): 229–239, 1992\nCheson BD, Phillips PH, Arbuck SG: Clinical trials: trials of topotecan. Oncol 9(3): 220–228, 1995\nMacdonald D, Cairncross G, Stewart D, Forsyth P, Sawaka C, Wainman N, Eisenhauer E: Phase II study of topotecan in patients with recurrent malignant glioma. National Clinical Institute of Canada Clinical Trials Group. Ann Oncol 7(2): 205–207, 1996\nBurris HA, Rothenburg ML, Kuhn JG, Von Hoff DD: Clinical trials with topoisomerase I inhibitors. Semin Oncol 19(6): 663–669, 1992\nMurphy B, Saltz L, Sirott M, Young C, Tong W, Trochanowski B, Toomasi F, Kelsen D: Granylocyte colony stimulating factor (G-CSF) does not increase the maximum tolerated dose (MTD) in a phase I study of topotecan. Proc Am Soc Clin Oncol 11: 139, 1992 (abstr)\nBlaney SM, Cole DE, Balis FM, Godwin K, Poplack DG: Plasma and CSF pharmacokinetic study of topotecan in non-human primates. Cancer Res 53: 725–727, 1993\nHochberg FH, Pruitt A: Assumptions in the radiotherapy of glioblastoma. Neurol 30: 908–911, 1980\nBeidler DR, Cheng YC: Camptothecin induction of a time-and concentration-dependent decrease of topoisomerase I and its implantation in camptothecin activity. Mol Pharmacol 47: 907–914, 1995\nWalter KA, Tamargo RJ, Olivi A, Burger PC, Brem H: Intratumoral Chemotherapy. Neurosurg 37(6): 1129–1145, 1995\nBrem H, Mahaley MS Jr, Vick NA, Black KL, Schold SC, Burger PC, Friedman AH, Ciric IS, Eller TW, Cozzens JW: Interstitial chemotherapy with drug polymer implants for the treatment of recurrent gliomas. J Neurosurg 74: 441–446, 1991\nBrem H, Piantadosi S, Burger PC: Intraoperative chemotherapy using biodegradable polymers: safety and effectiveness for recurrent glioma evaluated by a prospective, multi-institutional placebo-controlled clinical trial. Lancet 345: 1008–1012, 1995\nBrem H: Polymers to treat brain tumors. Biomaterials 11: 699–701, 1990\nLanger R, Brem H, Langer LF: New directions in CNS drug delivery. Neurobiol Aging 10: 642–644, 1989\nSkehan P, Storeng R, Scudiero D, Monks A, McMahon J, Vistica D, Warren JT, Bokesch H, Kenney S, Boyd MR: Ne colorimetric assay for anticancer-drug screening. JNCI 82(13): 1107–1112, 1990\nPerez RP, Godwin AK, Handel LM, Hamilton TC: A comparison of clonogenic, microtetrazolium and sulforhodamine B assays for determination of cisplatin cytotoxicity in human ovarian carcinoma cell lines. Eur J Cancer 29A(3): 395–399, 1993\nKudelka AP, Tresukosol D, Edwards CL, Freedman RS, Levenback C, Chantarawiroy P, de Leon CG, Kim EE, Madden T, Wallin B, Hord M, Verschraegen C, Raber M, Kavanagh JJ: Phase II study of intravenous topotecan as a 5-day infusion for refractory epithelial ovarian carcinoma. J Clin Oncol 14(5): 1552–1557, 1996\nPratesi G, Tortoreto M, Corti C, Giardini R, Zanino F: Successful local regional therapy with topotecan of intraperitoneally growing human ovarian carcinoma xenografts. Br J Cancer 71: 525–528, 1995\nBlaney SM, Cole DE, Godwin K, Sung C, Poplack DG, Balis F: Intrathecal administration of topotecan in nonhuman primates. Cancer Chemother Pharmacol 36: 121–124, 1995\nSung C, Blancy SM, Cole DE, Balis FM, Dedrick RL: A pharmacokinetic model of topotecanclearance from plasma and cerebrospinal fluid. Cancer Res 54: 5118–5122, 1994\nBlasberg RG, Patlak C, Fenstermacher JD: Intrathecal chemotherapy: brain tissue profiles after ventriculocisternal perfusion. J Pharmacol Exp Ther 195: 73–83, 1975\nFenstermacher JD, Kaye T: Drug 'diffusion’ within the brain. Ann NY Acad Sci 531: 29–39, 1988\nLanger R, Folkman J: Polymers for sustained release of proteins and other macromolecules. Nature 263: 797–800, 1976\nLanger R: New methods of drug delivery. Science 249: 1527–1533, 1990\nLum J, Nguyen T, Felpel L: Drug distribution in solid tissue of the brain following chronic local perfusion utilizing implanted osmotic minipumps. J Pharm Meth 12: 141–147, 1984\nMorrison PF, Laske DW, Bobo H, Oldfield EH, Dedrick RL: High flow microinfusion: tissue penetration and pharmacodynamics. Am J Physiol 266: R292–R305, 1994\nBobo H, Laske DW, Akbasak A, Morrison PF, Dedrick RL, Oldfield EH: Convection-enhanced delivery of macromolecules in the brain. Proc Natl Acad Sci 91: 2076–2080, 1994\nLieberman DL, Laske DW, Morrison PF, Bankiewicz KS, Oldfield EH: Convection enhanced distribution of large molecules in gray matter during interstitial drug infusion. J Neurosurg 82: 1021–1029, 1995\nWeingart JD, Thompson RC, Tyler B, Colvin OM, Brem H: Local delivery of the topoisomerase inhibitor camptothecin sodium prolongs survival in the rat intracranial 9L gliosarcoma model. Int J Cancer 62: 605–609, 1995",{"VOID":766},"10.1023\u002FA:1005954121521","2024-06-24T05:16:36.892+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1005954121521",[770,795,815,830,843,863,876],{"id":771,"sortIndex":19,"researcher":18,"roles":772,"affiliations":773,"properties":790,"displayName":792,"givenName":18,"familyName":18},"87ed3bb3-fec0-4539-b416-cb96b73c0595",[262],[774,782],{"id":775,"sortIndex":19,"affiliation":776,"properties":18},"a93d7f42-199a-46cd-b968-f4fc53c06965",{"id":775,"createTime":18,"updateTime":18,"relativeEntities":777,"slug":18,"properties":778,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":781,"statistic":18},[],{"title":779},{"VI":780},"Department of Neurosurgery, S.U.N.Y. at Buffalo School of Medicine and Biomedical Sciences, Buffalo, USA",[],{"id":783,"sortIndex":277,"affiliation":784,"properties":18},"f13f52a8-fb28-46ee-bcba-3983924b0c29",{"id":783,"createTime":18,"updateTime":18,"relativeEntities":785,"slug":18,"properties":786,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":789,"statistic":18},[],{"title":787},{"VI":788},"Laboratory of Cellular Implantation and Regeneration, Buffalo Veteran's Affairs Medical Center, Buffalo, USA",[],{"title":791,"gsAuthor":793},{"VI":792},"John Pollina",{"VOID":794},"[\"21uCTf4AAAAJ\"]",{"id":796,"sortIndex":277,"researcher":18,"roles":797,"affiliations":798,"properties":812,"displayName":814,"givenName":18,"familyName":18},"0d1c5fdd-4fee-482e-9a7f-96afd037fa78",[262],[799,805],{"id":775,"sortIndex":19,"affiliation":800,"properties":18},{"id":775,"createTime":18,"updateTime":18,"relativeEntities":801,"slug":18,"properties":802,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":804,"statistic":18},[],{"title":803},{"VI":780},[],{"id":783,"sortIndex":277,"affiliation":806,"properties":811},{"id":783,"createTime":18,"updateTime":18,"relativeEntities":807,"slug":18,"properties":808,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":810,"statistic":18},[],{"title":809},{"VI":788},[],{},{"title":813},{"VI":814},"Robert J. Plunkett",{"id":816,"sortIndex":190,"researcher":18,"roles":817,"affiliations":818,"properties":827,"displayName":829,"givenName":18,"familyName":18},"b64413be-2bcc-4fea-8f8f-e8a47a7b8cb5",[262],[819],{"id":820,"sortIndex":19,"affiliation":821,"properties":18},"fc3121a4-1e0a-4bae-b21d-438919e53669",{"id":820,"createTime":18,"updateTime":18,"relativeEntities":822,"slug":18,"properties":823,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":826,"statistic":18},[],{"title":824},{"VI":825},"Roswell Park Cancer Institute, Buffalo, USA",[],{"title":828},{"VI":829},"Michael J. Ciesielski",{"id":831,"sortIndex":308,"researcher":18,"roles":832,"affiliations":833,"properties":840,"displayName":842,"givenName":18,"familyName":18},"d5c09a2b-5cfb-4823-a8bd-331ae0165074",[262],[834],{"id":783,"sortIndex":19,"affiliation":835,"properties":18},{"id":783,"createTime":18,"updateTime":18,"relativeEntities":836,"slug":18,"properties":837,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":839,"statistic":18},[],{"title":838},{"VI":788},[],{"title":841},{"VI":842},"Agnieszka Lis",{"id":844,"sortIndex":322,"researcher":18,"roles":845,"affiliations":846,"properties":860,"displayName":862,"givenName":18,"familyName":18},"546d6d66-7e87-45b0-8d5f-13a30e8a253f",[262],[847,853],{"id":783,"sortIndex":19,"affiliation":848,"properties":18},{"id":783,"createTime":18,"updateTime":18,"relativeEntities":849,"slug":18,"properties":850,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":852,"statistic":18},[],{"title":851},{"VI":788},[],{"id":820,"sortIndex":277,"affiliation":854,"properties":859},{"id":820,"createTime":18,"updateTime":18,"relativeEntities":855,"slug":18,"properties":856,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":858,"statistic":18},[],{"title":857},{"VI":825},[],{},{"title":861},{"VI":862},"Tara A. 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clinical course of 50 patients with low-grade glioma (31 male, 19 female) undergoing surgery at a single Institution from 1992 to 1996 was analyzed in relationship with known prognostic factors as far as time to tumor progression (TTP) and survival time (ST) are concerned. Moreover, microvessel density (MVD) and expression of the angiogenesis-related chemokine CXCL12 were investigated in surgical specimens. Age at diagnosis ranged from 1 to 68 years (median 30). Histology revealed 11 fibrillary, 6 protoplasmatic, 5 gemistocytic astrocytoma, 18 oligoastrocytoma and 10 oligodendroglioma. Mean follow-up was 86 months. Four patients were lost to follow-up. Of the remaining 46, twenty-four have shown disease progression and 14 have died. Median overall survival was not achieved; an estimated 75% percentage of survivors was found at 78 months. Complete gross tumor removal was associated to a longer TTP (P = 0.04 logrank). Of the investigated immunohistochemical parameters, while MVD was not predictive of subsequent TTP, expression of CXCL12 was associated with a significantly shorter TTP (P = 0.01 logrank): this predictive value remained significant (P = 0.02) at multivariate analysis. The data suggest the possible prognostic value for CXCL-12 (an angiogenesis- and tumor-growth-related chemokine) on TTP in low-grade gliomas.",{"EN":972},"CXCL12 Expression is Predictive of a Shorter Time to Tumor Progression in Low-Grade Glioma: A Single-Institution Study in 50 Patients",{"VOID":974},"[]",{"VOID":976},"JG Cairncross K Ueki MC Zlatescu DK Lisle DM Finkelstein RR Hammond JS Silver PC Stark DR MacDonald Y Ino DA Ramsay DN. Louis (1998) ArticleTitleSpecific genetic predictors of chemotherapeutic response and survival in patients with anaplastic oligodendrogliomas J Natl Cancer Inst. 90 1473–1479 Occurrence Handle10.1093\u002Fjnci\u002F90.19.1473 Occurrence Handle9776413\nL Bissola M Eoli B Pollo BM Merciai A Silvani E Salsano C Maccagnano MG Bruzzone AM Fuhrman Conti CL Solero S Giombini G Broggi A Boiardi G. Finocchiaro (2002) ArticleTitleAssociation of chromosome losses and negative prognosis in oligoastrocytomas Ann Neurol 52 IssueID6 842–845 Occurrence Handle10.1002\u002Fana.10405 Occurrence Handle12447941\nM Nakamura N Konishi S Tsunoda H Nakase T Tsuzuki H Aoki H Sakitani T Inui T. Sakaki (2000) ArticleTitleAnalysis of prognostic and survival factors related to treatment of low-grade astrocytomas in adults Oncology. 58 108–116 Occurrence Handle10.1159\u002F000012087 Occurrence Handle10705237\nC Komine T Watanabe Y Katayama A Yoshino T Yokohsms T. Fukushima (2003) ArticleTitlePromoter hypermethylation of the DNA repair gene O 6-methylguanine-DNA methyltransferase is an independent predictor of shortened progression free survival in patients with low-grade diffuse astrocytomas Brain Pathol. 13 IssueID2 176–184 Occurrence Handle12744471\nSI Abdulrauf K Edvardsen KL Ho XY Yang JP Rock ML. Rosenblum (1998) ArticleTitleVascular endothelial growth factor expression and vascular density as prognostic markers of survival in patients with low-grade astrocytoma J Neurosurg 88 513–520 Occurrence Handle9488306\nRD Oehring M Miletic MM Valter T Pietsch J Neumann R Fimmers U. Schlegel (1999) ArticleTitleVascular endothelial growth factor – VEGF – in astrocytic gliomas: a prognostic factor?. J Neuro-Oncol 45 117–125 Occurrence Handle10.1023\u002FA:1006333005563\nJ Vaquero M Zurita C Morales S. Coca (2000) ArticleTitlePrognostic significance of clinical and angiogenesis-related factors in low-grade oligodendrogliomas Surg Neurol 54 229–234 Occurrence Handle10.1016\u002FS0090-3019(00)00303-7 Occurrence Handle11118569\nJ Vaquero M Zurita C Morales S. Coca (2001) ArticleTitlePrognostic significance of the endothelial surface in low-grade resected oligodendrogliomas Br J Neurosurg. 15 247–250 Occurrence Handle10.1080\u002F02688690120057673 Occurrence Handle11478061\nSA Rempel S Dudas S Ge JA. Gutierrez (2000) ArticleTitleIdentification and localization of the cytokine SDF1 and its receptor, CXC chemokine receptor 4, to regions of necrosis and angiogenesis in human glioblastoma Clin Cancer Res 6 IssueID1 102–111 Occurrence Handle10656438\nY Zhou PH Larsen C Hao VW. Yong (2002) ArticleTitleCXCR4 is a major chemokine receptor on glioma cells and mediates their survival J Biol Chem. 277 IssueID51 49481–49487 Occurrence Handle10.1074\u002Fjbc.M206222200 Occurrence Handle12388552\nC Giannini BW Scheithauer PC Burger MR Christensen M Wollan TJ Sebo PA Forsyth CJ. Hayostek (1999) ArticleTitleCellular proliferation in pilocytic and diffuse astrocytomas J Neuropathol Exp Neurol. 58 46–53 Occurrence Handle10068313\nPK Sallinen SL Sallinen PT Helèn S Rantala E Rautiainen HJ Helin H Kalimo HK. Haapasalo (2000) ArticleTitleGrading of diffusely infiltrating astrocytomas by quantitative histopathology, cell proliferation and image cytometric DNA analysis Neuropathol Appl Neurobiol. 26 319–331 Occurrence Handle10.1046\u002Fj.1365-2990.2000.00240.x Occurrence Handle10931365\nStupp R, Janzer RC, Hegi M, Villemure J-G, Mirimanoff RO: Prognostic factors for low-grade gliomas. Seminars in Oncology 30(6, Suppl 19): 23-28\nJ Piepmeier S Christopher D Spencer T Byrne J Kim JP Knisel J Lacy L Tsukerman R. Makuch (1996) ArticleTitleVariations in the natural history and survival of patients with supratentorial low-grade astrocytomas Neurosurgery. 38 872–887 Occurrence Handle10.1097\u002F00006123-199605000-00002 Occurrence Handle8727811\nA Peraud H Ansari K Bise HJ. Reulen (1998) ArticleTitleClinical outcome of supratentorial astrocytoma WHO grade II Acta Neurochir (Wien) 140 1213–1222 Occurrence Handle10.1007\u002Fs007010050241\nA Nicolato MA Gerosa P Fina P Iuzzolino F Giorgiutti A. Bricolo (1995) ArticleTitlePrognostic factors in low-grade supratentorial astrocytomas: a uni-multivariate statistical analysis in 76 surgically treated adult patients Surg Neurol. 44 208–223 Occurrence Handle10.1016\u002F0090-3019(95)00184-0 Occurrence Handle8545771\nF Pignatti M Bent Particlevan den D Curran C Debruyne R Sylvester P Therasse D Afra P Cornu M Bolla C Vecht AB. Karim (2002) ArticleTitleMF for the European Organization for research and treatment of cancer brain tumor cooperative group and radiotherapy cooperative group J Clin Oncol 20 2076–2084 Occurrence Handle10.1200\u002FJCO.2002.08.121 Occurrence Handle11956268\nEG Shaw BW Scheithauer JR. O’Fallon (1997) ArticleTitleSupratentorial gliomas: a comparative study by grade and histologic type J Neurooncol. 31 273–278 Occurrence Handle10.1023\u002FA:1005715703598 Occurrence Handle9049856\nB Donahue CB Scott JS Nelson M Rotman KJ Murray DF Nelson FL Banker JD Earle JA Fischbach SO Asbell LE Gaspar AM Markoe W. Curran (1997) ArticleTitleInfluence of an oligodendroglial component on the survival of patients with anaplastic astrocytomas: a report of radiation therapy oncology group 83-02 Int J Radiat Oncol Biol Phys. 38 911–914 Occurrence Handle10.1016\u002FS0360-3016(97)00126-0 Occurrence Handle9276354\nAB Karim D Afra P Cornu N Bleehan S Schraub O De Witte F Dar S Stenning M Pierart M. Van Glabbeke (2002) ArticleTitleRandomized trial on the efficacy of radiotherapy for cerebral low-grade glioma in the adult: European Organization for Research and Treatment of Cancer Study 22845 with the Medical Research Council study BR04: an interim analysis Int J Radiat Oncol Biol Phys 52 IssueID2 316–324 Occurrence Handle10.1016\u002FS0360-3016(01)02692-X Occurrence Handle11872276\nA Boiardi M Eoli A Salmaggi B Pollo I Milanesi G Broggi A: Silvani (2000) ArticleTitleCisplatin and BCNU chemotherapy for anaplastic oligoastrocytomas J Neurooncol 49 IssueID1 71–75 Occurrence Handle10.1023\u002FA:1006489919811 Occurrence Handle11131989\nRA Kristof G Neuloh V Hans M Deckert H Urbach U Schlegel M Simon J. Schramm (2002) ArticleTitleCombined surgery, radiation, and PCV chemotherapy for astrocytomas compared to oligodendrogliomas and oligoastrocytomas WHO grade III J Neurooncol. 59 IssueID3 231–237 Occurrence Handle10.1023\u002FA:1019987116596 Occurrence Handle12241120\nM Werner Wasik CB Scott DF Nelson LE Gaspar KJ Murray JA Fischbach JS Nelson AS Weinstein W Curran SuffixJr. (1996) ArticleTitleFinal report of a phase I\u002FII trial of hyperfractionated radioation therapy with carmustine for adults with supratentorial malignant gliomas: RTOG Study 83-02 Cancer 77 1535–1543 Occurrence Handle10.1002\u002F(SICI)1097-0142(19960415)77:8\u003C1535::AID-CNCR17>3.0.CO;2-0 Occurrence Handle8608540\nS Barbero R Bonavia A Bajetto C Porcile P Pirani JL Ravetti GL Zona R Spaziante T Florio G. Schettini (2003) ArticleTitleStromal cell-derived factor 1alfa stimulates human glioblastoma cell growth through the activation of both extracellular signal-regulated kinases ½ and Akt Cancer Res. 63 1969–1974 Occurrence Handle12702590\nA Salmaggi M Gelati B Pollo S Frigerio M Eoli A Silvani G Broggi E Ciusani D Croci A Boiardi M. 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with diffuse intrinsic pontine glioma (DIPG) need new and more efficient treatments. They can be developed at relapse or at diagnosis, but therefore they must be combined with radiotherapy. Survival of children after recurrence and its predictors were studied to inform the possibility to design early phase clinical trials for DIPG at this stage. Among 142 DIPG patients treated between 1998 and 2014, 114 had biopsy-proven DIPG with histone H3 status available for 83. We defined as long survivors’ patients who survived more than 3 months after relapse which corresponds to the minimal life expectancy requested for phase I\u002FII trials. Factors influencing post-relapse survival were accordingly compared between short and long-term survivors after relapse. Fifty-seven percent of patients were considered long survivors and 70% of them had a Lansky Play Scale (LPS) above 50% at relapse. Patients who became steroids-independent after initial treatment for at least 2 months had better survival after relapse (3.7 versus 2.6 months, p = 0.001). LPS above 50% at relapse was correlated with better survival after relapse (3.8 versus 1.8 months, p \u003C 0.001). Patients with H3.1 mutation survived longer after relapse (4.9 versus 2.7 months, p = 0.007). Patients who received a second radiotherapy at the time of relapse had an improved survival (7.5 versus 4 months, p = 0.001). In the two-way ANOVA analysis, steroid-independence and LPS predicted survival best and the type of histone H3 (H3.1 or H3.3) mutated did not improve prediction. Survival of many DIPG patients after relapse over 3 months would make possible to propose specific trials for this condition. Steroid-independence, H3 mutation status and LPS should be considered to predict eligibility.",{"EN":1189},"Diffuse intrinsic pontine gliomas (DIPG) at recurrence: is there a window to test new therapies in some patients?",{"VOID":1191},"[\"16670873506318395599\"]",{"VOID":1193},"Vanan MI, Eisenstat DD (2015) DIPG in children: what can we learn from the past? Front Oncol 5:237\nPuget S, Beccaria K, Blauwblomme T, Roujeau T, James S, Grill J, Zerah M, Varlet P, Sainte-Rose C (2015) Biopsy in a series of 130 pediatric diffuse intrinsic pontine gliomas. Child’s Nerv Syst 31:1773–1780\nKieran MW (2015) Time to rethink the unthinkable: upfront biopsy of children with newly diagnosed diffuse intrinsic pontine glioma (DIPG). Pediatr Blood Cancer 62(1):3–4\nKieran MW, Goumnerova LC, Prados M, Gupta N (2016) Biopsy for diffuse intrinsic pontine glioma: a reappraisal. J Neurosurg Pediatr 18:390–391\nWalker DA, Liu J, Kieran M, Jabado N, Picton S, Packer R, St. Rose C (2013) A multi-disciplinary consensus statement concerning surgical approaches to low-grade, high-grade astrocytomas and diffuse intrinsic pontine gliomas in childhood (CPN Paris 2011) using the Delphi method. Neuro Oncol 15:462–468\nLouis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, Ohgaki H, Wiestler OD, Kleihues P, Ellison DW (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820\nFrappaz D, Schell M, Thiesse P et al (2008) Preradiation chemotherapy may improve survival in pediatric diffuse intrinsic brainstem gliomas: final results of BSG 98 prospective trial. Neuro Oncol 10:599–607\nWarren KE (2012) Diffuse intrinsic pontine glioma: poised for progress. Front Oncol 2:205\nJansen MH, Van Zanten SEV, Aliaga ES et al (2015) Survival prediction model of children with diffuse intrinsic pontine glioma based on clinical and radiological criteria. Neuro Oncol 17:160–166\nMassimino M, Biassoni V, Miceli R et al (2014) Results of nimotuzumab and vinorelbine, radiation and re-irradiation for diffuse pontine glioma in childhood. J Neurooncol 118:305–312\nCastel D, Philippe C, Calmon R et al (2015) Histone H3F3A and HIST1H3B K27M mutations define two subgroups of diffuse intrinsic pontine gliomas with different prognosis and phenotypes. Acta Neuropathol 130:815–827\nSteffen-Smith EA, Baker EH, Venzon D, Shandilya S, Bent RS, Warren KE (2014) Measurements of the pons as a biomarker of progression for pediatric DIPG. J Neurooncol 116:127–133\nDhermain FG, Hau P, Lanfermann H, Jacobs AH, van den Bent MJ (2010) Advanced MRI and PET imaging for assessment of treatment response in patients with gliomas. Lancet Neurol 9:906–920\nChassot A, Canale S, Varlet P et al (2012) Radiotherapy with concurrent and adjuvant temozolomide in children with newly diagnosed diffuse intrinsic pontine glioma. J Neurooncol 106:399–407\nGeoerger B, Hargrave D, Thomas F et al (2011) Innovative therapies for children with cancer pediatric phase I study of erlotinib in brainstem glioma and relapsing\u002Frefractory brain tumors. Neuro Oncol 13:109–118\nBernier-Chastagner V, Grill J, Doz F et al (2005) Topotecan as a radiosensitizer in the treatment of children with malignant diffuse brainstem gliomas: Results of a French Society of Paediatric Oncology Phase II Study. Cancer 104:2792–2797\nStupp R et al (2014) Cilengitide combined with standard treatment for patients with newly diagnosed glioblastoma with methylated MGMT promoter (CENTRIC EORTC 26071–22072 study): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol 15:1100–1108\nDufour C et al (2006) High-grade glioma in children under 5 years of age: a chemotherapy only approach with the BBSFOP protocol. Eur J Cancer 42(17):2939–2945 42:2939–2945\nHargrave D, Bartels U, Bouffet E (2006) Diffuse brainstem glioma in children: critical review of clinical trials. Lancet Oncol 7:241–248\nCohen KJ, Jabado N, Grill J (2017) Diffuse intrinsic pontine gliomas—current management and new biologic insights. Is there a glimmer of hope? Neuro Oncol 19:1025–1034\nWolff JE, Rytting ME, Vats TS, Zage PE, Ater JL, Woo S, Kuttesch J, Ketonen L, Mahajan A (2012) Treatment of recurrent diffuse intrinsic pontine glioma: the MD Anderson Cancer Center experience. J Neurooncol 106:391–397\nGreen AL, Kieran MW (2015) Pediatric brainstem gliomas: new understanding leads to potential new treatments for two very different tumors. Curr Oncol Rep. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11912-014-0436-7\nJanssens GO, Gandola L, Bolle S et al (2017) Survival benefit for patients with diffuse intrinsic pontine glioma (DIPG) undergoing re-irradiation at first progression: a matched-cohort analysis on behalf of the SIOP-E-HGG\u002FDIPG working group. Eur J Cancer 73:38–47\nCarceller F, Fowkes LA, Khabra K et al (2016) Pseudoprogression in children, adolescents and young adults with non-brainstem high grade glioma and diffuse intrinsic pontine glioma. 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W, Peiffer J (1989) Intratumoral histologic heterogeneity of gliomas. 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Neurology 50:1316–1322",{"doi":1815},{"id":1811,"text":1838,"url":1813,"identifiers":1839},"Kato T, Shinoda J, Oka N, Miwa K, Nakayama N, Yano H, Maruyama T, Muragaki Y, Iwama T (2008) Analysis of 11C-methionine uptake in low-grade gliomas and correlation with proliferative activity. AJNR Am J Neuroradiol 29:1867–1871",{"doi":1815},{"id":1811,"text":1841,"url":1813,"identifiers":1842},"Nojiri T, Nariai T, Aoyagi M, Senda M, Ishii K, Ishiwata K, Ohno K (2009) Contributions of biological tumor parameters to the incorporation rate of L: -[methyl-(11)C] methionine into astrocytomas and oligodendrogliomas. J Neurooncol 93:233–241",{"doi":1815},{"id":1811,"text":1844,"url":1813,"identifiers":1845},"Ribom D, Eriksson A, Hartman M, Engler H, Nilsson A, Langstrom B, Bolander H, Bergstrom M, Smits A (2001) Positron emission tomography (11)C-methionine and survival in patients with low-grade gliomas. Cancer 92:1541–1549",{"doi":1815},{"id":1811,"text":1847,"url":1813,"identifiers":1848},"Braun V, Dempf S, Weller R, Reske SN, Schachenmayr W, Richter HP (2002) Cranial neuronavigation with direct integration of (11)C methionine positron emission tomography (PET) data–results of a pilot study in 32 surgical cases. Acta Neurochir (Wien) 144:777–782 discussion 782",{"doi":1815},{"id":18,"text":1850,"url":18,"identifiers":1851},"Kracht LW, Miletic H, Busch S, Jacobs AH, Voges J, Hoevels M, Klein JC, Herholz K, Heiss WD (2004) Delineation of brain tumor extent with [11C]L-methionine positron emission tomography: local comparison with stereotactic histopathology. Clin Cancer Res 10:7163–7170",{},{"id":1811,"text":1853,"url":1813,"identifiers":1854},"Warburg O (1956) On respiratory impairment in cancer cells. Science 124:269–270",{"doi":1815},{"id":1811,"text":1856,"url":1813,"identifiers":1857},"Alavi JB, Alavi A, Chawluk J, Kushner M, Powe J, Hickey W, Reivich M (1988) Positron emission tomography in patients with glioma. A predictor of prognosis. Cancer 62:1074–1078",{"doi":1815},{"id":1811,"text":1859,"url":1813,"identifiers":1860},"Borbely K, Nyary I, Toth M, Ericson K, Gulyas B (2006) Optimization of semi-quantification in metabolic PET studies with 18F-fluorodeoxyglucose and 11C-methionine in the determination of malignancy of gliomas. J Neurol Sci 246:85–94",{"doi":1815},{"id":1811,"text":1862,"url":1813,"identifiers":1863},"Goldman S, Levivier M, Pirotte B, Brucher JM, Wikler D, Damhaut P, Stanus E, Brotchi J, Hildebrand J (1996) Regional glucose metabolism and histopathology of gliomas. A study based on positron emission tomography-guided stereotactic biopsy. Cancer 78:1098–1106",{"doi":1815},{"id":1811,"text":1865,"url":1813,"identifiers":1866},"Ogawa T, Inugami A, Hatazawa J, Kanno I, Murakami M, Yasui N, Mineura K, Uemura K (1996) Clinical positron emission tomography for brain tumors: comparison of fludeoxyglucose F 18 and L-methyl-11C-methionine. AJNR Am J Neuroradiol 17:345–353",{"doi":1815},{"id":1868,"text":1869,"url":1870,"identifiers":1871},"dc848e46-719c-4078-a655-eeb0825a380d","Padma MV, Said S, Jacobs M, Hwang DR, Dunigan K, Satter M, Christian B, Ruppert J, Bernstein T, Kraus G, Mantil JC (2003) Prediction of pathology and survival by FDG PET in gliomas. J Neurooncol 64:227–237","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1025665820001",{"doi":1872},"10.1023\u002FA:1025665820001",{"id":1874,"text":1875,"url":1876,"identifiers":1877},"6d5b3cbc-633b-4b35-903f-6aab151896d3","Benard F, Romsa J, Hustinx R (2003) Imaging gliomas with positron emission tomography and single-photon emission computed tomography. Semin Nucl Med 33:148–162","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0001299803700191",{"doi":1878},"10.1053\u002Fsnuc.2003.127304",{"id":1811,"text":1880,"url":1813,"identifiers":1881},"Chen W (2007) Clinical applications of PET in brain tumors. J Nucl Med 48:1468–1481",{"doi":1815},{"id":1883,"text":1884,"url":1885,"identifiers":1886},"62ca4e15-aef1-4931-95e3-ea80f64a264b","Kubota K (2001) From tumor biology to clinical Pet: a review of positron emission tomography (PET) in oncology. Ann Nucl Med 15:471–486","http:\u002F\u002Flink.springer.com\u002F10.1007\u002FBF02988499",{"doi":1887},"10.1007\u002FBF02988499",{"id":1811,"text":1889,"url":1813,"identifiers":1890},"Delbeke D, Meyerowitz C, Lapidus RL, Maciunas RJ, Jennings MT, Moots PL, Kessler RM (1995) Optimal cutoff levels of F-18 fluorodeoxyglucose uptake in the differentiation of low-grade from high-grade brain tumors with PET. Radiology 195:47–52",{"doi":1815},{"id":1892,"text":1893,"url":1894,"identifiers":1895},"7c876bf6-9c6f-4a5a-a206-f91fee91993c","Chung JK, Kim YK, Kim SK, Lee YJ, Paek S, Yeo JS, Jeong JM, Lee DS, Jung HW, Lee MC (2002) Usefulness of 11C-methionine PET in the evaluation of brain lesions that are hypo- or isometabolic on 18F-FDG PET. Eur J Nucl Med Mol Imaging 29:176–182","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00259-001-0690-4",{"doi":1896},"10.1007\u002Fs00259-001-0690-4",{"id":1811,"text":1898,"url":1813,"identifiers":1899},"Sato N, Suzuki M, Kuwata N, Kuroda K, Wada T, Beppu T, Sera K, Sasaki T, Ogawa A (1999) Evaluation of the malignancy of glioma using 11C-methionine positron emission tomography and proliferating cell nuclear antigen staining. Neurosurg Rev 22:210–214",{"doi":1815},{"id":18,"text":1901,"url":18,"identifiers":1902},"Kato T, Shinoda J, Nakayama N, Miwa K, Okumura A, Yano H, Yoshimura S, Maruyama T, Muragaki Y, Iwama T (2008) Metabolic assessment of gliomas using 11C-methionine, [18F] fluorodeoxyglucose, and 11C-choline positron-emission tomography. AJNR Am J Neuroradiol 29:1176–1182",{},{"id":1811,"text":1904,"url":1813,"identifiers":1905},"Miwa K, Shinoda J, Yano H, Iwama T (2007) Relatively decreased 11C-methionine uptake within the anaplastic component of a mixed-grade oligodendroglioma. AJNR Am J Neuroradiol 28:2005–2007",{"doi":1815},{"id":1811,"text":1907,"url":1813,"identifiers":1908},"Sadeghi N, Salmon I, Decaestecker C, Levivier M, Metens T, Wikler D, Denolin V, Rorive S, Massager N, Baleriaux D, Goldman S (2007) Stereotactic comparison among cerebral blood volume, methionine uptake, and histopathology in brain glioma. AJNR Am J Neuroradiol 28:455–461",{"doi":1815},{"id":1811,"text":1910,"url":1813,"identifiers":1911},"Kracht LW, Friese M, Herholz K, Schroeder R, Bauer B, Jacobs A, Heiss WD (2003) Methyl-[11C]- l-methionine uptake as measured by positron emission tomography correlates to microvessel density in patients with glioma. Eur J Nucl Med Mol Imaging 30:868–873",{"doi":1815},{"id":1811,"text":1913,"url":1813,"identifiers":1914},"Okita Y, Kinoshita M, Goto T, Kagawa N, Kishima H, Shimosegawa E, Hatazawa J, Hashimoto N, Yoshimine T (2010) (11)C-methionine uptake correlates with tumor cell density rather than with microvessel density in glioma: a stereotactic image-histology comparison. Neuroimage 49:2977–2982",{"doi":1815},{"id":1811,"text":1916,"url":1813,"identifiers":1917},"Patronas NJ, Brooks RA, DeLaPaz RL, Smith BH, Kornblith PL, Di Chiro G (1983) Glycolytic rate (PET) and contrast enhancement (CT) in human cerebral gliomas. AJNR Am J Neuroradiol 4:533–535",{"doi":1815},{"id":1811,"text":1919,"url":1813,"identifiers":1920},"Goldman S, Levivier M, Pirotte B, Brucher JM, Wikler D, Damhaut P, Dethy S, Brotchi J, Hildebrand J (1997) Regional methionine and glucose uptake in high-grade gliomas: a comparative study on PET-guided stereotactic biopsy. J Nucl Med 38:1459–1462",{"doi":1815},{"id":1811,"text":1922,"url":1813,"identifiers":1923},"Bergstrom M, Collins VP, Ehrin E, Ericson K, Eriksson L, Greitz T, Halldin C, von Holst H, Langstrom B, Lilja A et al (1983) Discrepancies in brain tumor extent as shown by computed tomography and positron emission tomography using [68 Ga]EDTA, [11C]glucose, and [11C]methionine. J Comput Assist Tomogr 7:1062–1066",{"doi":1815},{"id":1811,"text":1925,"url":1813,"identifiers":1926},"Mosskin M, Ericson K, Hindmarsh T, von Holst H, Collins VP, Bergstrom M, Eriksson L, Johnstrom P (1989) Positron emission tomography compared with magnetic resonance imaging and computed tomography in supratentorial gliomas using multiple stereotactic biopsies as reference. Acta Radiol 30:225–232",{"doi":1815},{"id":1928,"text":1929,"url":1930,"identifiers":1931},"13ec9175-c4fa-49ac-ac23-e0ea9d561ad9","Derlon JM, Chapon F, Noel MH, Khouri S, Benali K, Petit-Taboue MC, Houtteville JP, Chajari MH, Bouvard G (2000) Non-invasive grading of oligodendrogliomas: correlation between in vivo metabolic pattern and histopathology. Eur J Nucl Med 27:778–787","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs002590000260",{"doi":1932},"10.1007\u002Fs002590000260",{"id":1811,"text":1934,"url":1813,"identifiers":1935},"Giammarile F, Cinotti LE, Jouvet A, Ramackers JM, Saint Pierre G, Thiesse P, Jouanneau E, Guyotat J, Pelissou-Guyotat I, Setiey A, Honnorat J, Le Bars D, Frappaz D (2004) High and low grade oligodendrogliomas (ODG): correlation of amino-acid and glucose uptakes using PET and histological classifications. J Neurooncol 68:263–274",{"doi":1815},{"id":1937,"createTime":1938,"updateTime":1939,"relativeEntities":1940,"slug":1941,"properties":1942,"entityType":251,"verifyStatus":252,"verifyTime":1953,"verifyNote":254,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1954,"fullTextUrl":18,"authors":1955,"publicationType":410,"publisherRelationship":2101,"citationCount":398,"citationInfo":2160,"publishDate":2162,"publishYear":1617,"citationAnalyzeStatus":959,"lastCitationAnalyze":1939,"indexDatabases":2163,"openAccess":18,"references":18,"isForceReanalyzing":473},"cb133fec-b0c0-4b2b-8136-ca94c57da118","2023-12-06T17:30:46.256+00:00","2026-08-17T04:12:12.161+00:00",[],"Biopsy-targeting-with-dynamic-contrast-enhanced-versus-standard-neuronavigation-MRI-in-glioma-a-prospective-double-blinded-evaluation-of-selection-benefits",{"abstract":1943,"title":1945,"gsPaper":1947,"references":1949,"doi":1951},{"EN":1944},"Current biopsy planning based on contrast-enhanced T1W (CET1W) or FLAIR sequences frequently delivers biopsy samples that are not in concordance with the gross tumor diagnosis. This study investigates whether the quantitative information of transfer constant Ktrans maps derived from T1W dynamic contrast-enhanced MRI (DCE-MRI) can help enhance the quality of biopsy target selection in glioma. 28 patients with suspected glioma received MRI including DCE-MRI and a standard neuronavigation protocol of 3D FLAIR- and CET1W data sets (0.1 mmol\u002Fkg gadobutrol) at 3.0 T. After exclusion of five cases with no Ktrans-elevation, 2–6 biopsy targets were independently selected by a neurosurgeon (samples based on standard imaging) and a neuroradiologist (samples based on kinetic parameter Ktrans) per case and tissue samples corresponding to these targets were collected by a separate independent neurosurgeon. Standard technique and Ktrans-based samples were rated for diagnostic concordance with the gross tumor resection reference diagnosis (67 WHO IV; 24 WHO III and II) by a neuropathologist blinded for selection mode. Ktrans-based sample targets differed from standard technique sample targets in 90\u002F91 cases. More Ktrans-based than standard imaging-based samples could be extracted. Diagnoses from Ktrans-based samples were more frequently concordant with the reference gross tumor diagnoses than those from standard imaging-based samples (WHO IV: 30\u002F39 vs. 11\u002F20; p = 0.08; WHO III\u002FII: 12\u002F13 vs. 6\u002F11; p = 0.06). In 4\u002F5 non-contrast-enhancing gliomas, Ktrans-based selection revealed significantly more accurate samples than standard technique sample-selection (10\u002F12 vs. 2\u002F8 samples; p = 0.02). If Ktrans elevation is present, Ktrans-based biopsy targeting provides significantly more diagnostic tissue samples in non-contrast-enhancing glioma than selection based on CET1W and FLAIR-weighted images alone.",{"EN":1946},"Biopsy targeting with dynamic contrast-enhanced versus standard neuronavigation MRI in glioma: a prospective double-blinded evaluation of selection benefits",{"VOID":1948},"[\"3442966402065129489\"]",{"VOID":1950},"Paulus W, Peiffer J (1989) Intratumoral histologic heterogeneity of gliomas. A quantitative study. Cancer 64:442–447\nCoons SW, Johnson PC, Scheithauer BW, Yates AJ, Pearl DK (1997) Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas. Cancer 79:1381–1393\nKunz M, Thon N, Eigenbrod S, Hartmann C, Egensperger R, Herms J, Geisler J, La Fougere C, Lutz J, Linn J, Kreth S, von Deimling A, Tonn JC, Kretzschmar HA, Popperl G, Kreth FW (2011) Hot spots in dynamic (18)FET-PET delineate malignant tumor parts within suspected WHO grade II gliomas. Neuro Oncol 13:307–316. doi:10.1093\u002Fneuonc\u002Fnoq196\nSottoriva A, Spiteri I, Piccirillo SG, Touloumis A, Collins VP, Marioni JC, Curtis C, Watts C, Tavare S (2013) Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics. Proc Natl Acad Sci USA 110:4009–4014. doi:10.1073\u002Fpnas.1219747110\nGanslandt O, Stadlbauer A, Fahlbusch R, Kamada K, Buslei R, Blumcke I, Moser E, Nimsky C (2005) Proton magnetic resonance spectroscopic imaging integrated into image-guided surgery: correlation to standard magnetic resonance imaging and tumor cell density. Neurosurgery 56:291–298 (discussion 291–298)\nMuragaki Y, Chernov M, Maruyama T, Ochiai T, Taira T, Kubo O, Nakamura R, Iseki H, Hori T, Takakura K (2008) Low-grade glioma on stereotactic biopsy: how often is the diagnosis accurate? Minim Invasive Neurosurg 51:275–279. doi:10.1055\u002Fs-0028-1082322\nHermann EJ, Hattingen E, Krauss JK, Marquardt G, Pilatus U, Franz K, Setzer M, Gasser T, Tews DS, Zanella FE, Seifert V, Lanfermann H (2008) Stereotactic biopsy in gliomas guided by 3-tesla 1H-chemical-shift imaging of choline. Stereotact Funct Neurosurg 86:300–307. doi:10.1159\u002F000155232\nWeber MA, Henze M, Tuttenberg J, Stieltjes B, Meissner M, Zimmer F, Burkholder I, Kroll A, Combs SE, Vogt-Schaden M, Giesel FL, Zoubaa S, Haberkorn U, Kauczor HU, Essig M (2010) Biopsy targeting gliomas: do functional imaging techniques identify similar target areas? Invest Radiol 45:755–768. doi:10.1097\u002FRLI.0b013e3181ec9db0\nPafundi DH, Laack NN, Youland RS, Parney IF, Lowe VJ, Giannini C, Kemp BJ, Grams MP, Morris JM, Hoover JM, Hu LS, Sarkaria JN, Brinkmann DH (2013) Biopsy validation of 18F-DOPA PET and biodistribution in gliomas for neurosurgical planning and radiotherapy target delineation: results of a prospective pilot study. Neuro Oncol 15:1058–1067. doi:10.1093\u002Fneuonc\u002Fnot002\nLopez WO, Cordeiro JG, Albicker U, Doostkam S, Nikkhah G, Kirch RD, Trippel M, Reithmeier T (2015) Correlation of (18)F-fluoroethyl tyrosine positron-emission tomography uptake values and histomorphological findings by stereotactic serial biopsy in newly diagnosed brain tumors using a refined software tool. Onco Targets Ther 8:3803–3815. doi:10.2147\u002FOTT.S87126\nDammers R, Schouten JW, Haitsma IK, Vincent AJ, Kros JM, Dirven CM (2010) Towards improving the safety and diagnostic yield of stereotactic biopsy in a single centre. Acta Neurochir (Wien) 152:1915–1921. doi:10.1007\u002Fs00701-010-0752-0\nRoessler K, Gatterbauer B, Becherer A, Paul M, Kletter K, Prayer D, Hoeftberger R, Hainfellner J, Asenbaum S, Knosp E (2007) Surgical target selection in cerebral glioma surgery: linking methionine (MET) PET image fusion and neuronavigation. Minim Invasive Neurosurg 50:273–280. doi:10.1055\u002Fs-2007-991143\nChaskis C, Stadnik T, Michotte A, Van Rompaey K, D’Haens J (2006) Prognostic value of perfusion-weighted imaging in brain glioma: a prospective study. Acta Neurochir (Wien) 148: 277–285. doi:10.1007\u002Fs00701-005-0718-9 (discussion 285)\nSon BC, Kim MC, Choi BG, Kim EN, Baik HM, Choe BY, Naruse S, Kang JK (2001) Proton magnetic resonance chemical shift imaging (1H CSI)-directed stereotactic biopsy. Acta Neurochir (Wien) 143:45–49 (discussion 49–50)\nLefranc M, Monet P, Desenclos C, Peltier J, Fichten A, Toussaint P, Sevestre H, Deramond H, Le Gars D (2012) Perfusion MRI as a neurosurgical tool for improved targeting in stereotactic tumor biopsies. Stereotact Funct Neurosurg 90:240–247. doi:10.1159\u002F000338092\nKnopp EA, Cha S, Johnson G, Mazumdar A, Golfinos JG, Zagzag D, Miller DC, Kelly PJ, Kricheff II (1999) Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 211:791–798. doi:10.1148\u002Fradiology.211.3.r99jn46791\nTofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM (1999) Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10:223–232\nRoberts HC, Roberts TP, Brasch RC, Dillon WP (2000) Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. AJNR Am J Neuroradiol 21:891–899\nProvenzale JM, Mukundan S, Dewhirst M (2005) The role of blood-brain barrier permeability in brain tumor imaging and therapeutics. AJR Am J Roentgenol 185:763–767. doi:10.2214\u002Fajr.185.3.01850763\nZhang N, Zhang L, Qiu B, Meng L, Wang X, Hou BL (2012) Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas. J Magn Reson Imaging 36:355–363. doi:10.1002\u002Fjmri.23675\nDujardin MI, Sourbron SP, Chaskis C, Verellen D, Stadnik T, de Mey J, Luypaert R (2012) Quantification of cerebral tumour blood flow and permeability with T1-weighted dynamic contrast enhanced MRI: a feasibility study. J Neuroradiol 39:227–235. doi:10.1016\u002Fj.neurad.2011.07.001\nJia ZZ, Geng DY, Liu Y, Chen XR, Zhang J (2013) Microvascular permeability of brain astrocytoma with contrast-enhanced magnetic resonance imaging: correlation analysis with histopathologic grade. Chin Med J (Engl) 126:1953–1956\nTan CH, Hobbs BP, Wei W, Kundra V (2015) Dynamic contrast-enhanced MRI for the detection of prostate cancer: meta-analysis. AJR Am J Roentgenol 204:W439–W448. doi:10.2214\u002FAJR.14.13373\nAn YS, Kang DK, Jung YS, Han S, Kim TH (2015) Tumor metabolism and perfusion ratio assessed by 18F-FDG PET\u002FCT and DCE-MRI in breast cancer patients: correlation with tumor subtype and histologic prognostic factors. Eur J Radiol 84:1365–1370. doi:10.1016\u002Fj.ejrad.2015.03.026\nLouis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, Ohgaki H, Wiestler OD, Kleihues P, Ellison DW (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820. doi:10.1007\u002Fs00401-016-1545-1\nWang HZ, Riederer SJ, Lee JN (1987) Optimizing the precision in T1 relaxation estimation using limited flip angles. Magn Reson Med 5:399–416\nRohrer M, Bauer H, Mintorovitch J, Requardt M, Weinmann HJ (2005) Comparison of magnetic properties of MRI contrast media solutions at different magnetic field strengths. 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Virchows Arch 466:433–444. doi:10.1007\u002Fs00428-014-1712-5\nWidhalm G, Kiesel B, Woehrer A, Traub-Weidinger T, Preusser M, Marosi C, Prayer D, Hainfellner JA, Knosp E, Wolfsberger S (2013) 5-Aminolevulinic acid induced fluorescence is a powerful intraoperative marker for precise histopathological grading of gliomas with non-significant contrast-enhancement. PLoS ONE 8:e76988. doi:10.1371\u002Fjournal.pone.0076988\nCordova JS, Shu HK, Liang Z, Gurbani SS, Cooper LA, Holder CA, Olson JJ, Kairdolf B, Schreibmann E, Neill SG, Hadjipanayis CG, Shim H (2016) Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients. Neuro Oncol 18:1180–1189. doi:10.1093\u002Fneuonc\u002Fnow036\nJia ZZ, Gu HM, Zhou XJ, Shi JL, Li MD, Zhou GF, Wu XH (2015) The assessment of immature microvascular density in brain gliomas with dynamic contrast-enhanced magnetic resonance imaging. Eur J Radiol 84:1805–1809. doi:10.1016\u002Fj.ejrad.2015.05.035\nvan Osch MJ, van der Grond J, Bakker CJ (2005) Partial volume effects on arterial input functions: shape and amplitude distortions and their correction. J Magn Reson Imaging 22:704–709. doi:10.1002\u002Fjmri.20455\nvan der Schaaf I, Vonken EJ, Waaijer A, Velthuis B, Quist M, van Osch T (2006) Influence of partial volume on venous output and arterial input function. AJNR Am J Neuroradiol 27:46–50\nCalamante F (2013) Arterial input function in perfusion MRI: a comprehensive review. Prog Nucl Magn Reson Spectrosc 74:1–32. doi:10.1016\u002Fj.pnmrs.2013.04.002\nHansen AE, Pedersen H, Rostrup E, Larsson HB (2009) Partial volume effect (PVE) on the arterial input function (AIF) in T1-weighted perfusion imaging and limitations of the multiplicative rescaling approach. Magn Reson Med 62:1055–1059. doi:10.1002\u002Fmrm.22098\nHaroon HA, Buckley DL, Patankar TA, Dow GR, Rutherford SA, Baleriaux D, Jackson A (2004) A comparison of Ktrans measurements obtained with conventional and first pass pharmacokinetic models in human gliomas. J Magn Reson Imaging 19:527–536. doi:10.1002\u002Fjmri.20045\nHeisen M, Fan X, Buurman J, van Riel NA, Karczmar GS, ter Haar Romeny BM (2010) The influence of temporal resolution in determining pharmacokinetic parameters from DCE-MRI data. Magn Reson Med 63:811–816. doi:10.1002\u002Fmrm.22171\nLavini C, Verhoeff JJ (2010) Reproducibility of the gadolinium concentration measurements and of the fitting parameters of the vascular input function in the superior sagittal sinus in a patient population. Magn Reson Imaging 28:1420–1430. doi:10.1016\u002Fj.mri.2010.06.017\nSourbron SP, Buckley DL (2013) Classic models for dynamic contrast-enhanced MRI. NMR Biomed 26:1004–1027. doi:10.1002\u002Fnbm.2940\nvan Niekerk CG, van der Laak JA, Hambrock T, Huisman HJ, Witjes JA, Barentsz JO, Hulsbergen-van de Kaa CA (2014) Correlation between dynamic contrast-enhanced MRI and quantitative histopathologic microvascular parameters in organ-confined prostate cancer. Eur Radiol 24:2597–2605. doi:10.1007\u002Fs00330-014-3301-z\nJia Z, Geng D, Xie T, Zhang J, Liu Y (2012) Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging. J Clin Neurosci 19:820–823. doi:10.1016\u002Fj.jocn.2011.08.030\nJackson A, Jayson GC, Li KL, Zhu XP, Checkley DR, Tessier JJ, Waterton JC (2003) Reproducibility of quantitative dynamic contrast-enhanced MRI in newly presenting glioma. Br J Radiol 76:153–162. doi:10.1259\u002Fbjr\u002F70653746\nLavini C, Verhoeff JJ, Majoie CB, Stalpers LJ, Richel DJ, Maas M (2011) Model-based, semiquantitative and time intensity curve shape analysis of dynamic contrast-enhanced MRI: a comparison in patients undergoing antiangiogenic treatment for recurrent glioma. J Magn Reson Imaging 34:1303–1312. doi:10.1002\u002Fjmri.22742\nWeber MA, Zoubaa S, Schlieter M, Juttler E, Huttner HB, Geletneky K, Ittrich C, Lichy MP, Kroll A, Debus J, Giesel FL, Hartmann M, Essig M (2006) Diagnostic performance of spectroscopic and perfusion MRI for distinction of brain tumors. 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Hadizadeh",{"url":1954,"publisher":2102,"properties":2155},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":2103,"slug":10,"properties":2104,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":2107,"manageAffiliations":2124,"indexDatabases":2135,"url":18,"thumbnailPath":18,"statistic":2150,"gsStatistic":18,"type":230,"analyzePriority":18},[],{"issn":2105,"title":2106},{"VOID":13},{"VOID":15},[2108,2112,2116,2120],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":2109,"label":2110,"description":2111,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":2113,"label":2114,"description":2115,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},{"id":34,"createTime":18,"updateTime":18,"relativeEntities":2117,"label":2118,"description":2119,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":37},{},{"id":40,"createTime":18,"updateTime":18,"relativeEntities":2121,"label":2122,"description":2123,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":43},{},[2125,2130],{"id":47,"createTime":18,"updateTime":18,"relativeEntities":2126,"slug":18,"properties":2127,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":2129,"statistic":18},[],{"title":2128},{"EN":51},[],{"id":54,"createTime":18,"updateTime":18,"relativeEntities":2131,"slug":18,"properties":2132,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":2134,"statistic":18},[],{"title":2133},{"EN":58},[],[2136,2143],{"id":62,"indexDatabase":2137,"url":73,"indexYears":74,"academicFieldIds":2142,"indexDatabaseRanking":80},{"id":64,"createTime":18,"updateTime":18,"relativeEntities":2138,"label":2139,"description":2140,"key":70,"publicationTags":2141,"standard":18},[],{"EN":67,"VI":67},{"EN":67,"VI":69},[72],[76,77,78,79],{"id":82,"indexDatabase":2144,"url":95,"indexYears":18,"academicFieldIds":2149,"indexDatabaseRanking":18},{"id":84,"createTime":18,"updateTime":18,"relativeEntities":2145,"label":2146,"description":2147,"key":91,"publicationTags":2148,"standard":18},[],{"EN":87,"VI":87},{"EN":89,"VI":90},[93,94],[97,98],{"impactFactor":19,"impactFactorByYear":2151,"i10Index":114,"i10IndexLast5Year":115,"totalPublication":116,"totalPublicationByYear":2152,"totalCitation":156,"totalCitationByYear":2153,"totalCitationPerPublication":191,"totalCitationPerPublicationByYear":2154,"hindexLast5Year":229,"hindex":229},{"2000":19,"2001":101,"2012":102,"2013":103,"2014":104,"2015":105,"2016":106,"2017":107,"2018":108,"2019":109,"2020":110,"2021":111,"2022":112,"2023":113},{"1983":118,"1984":119,"1985":120,"1986":121,"1987":122,"1988":123,"1989":121,"1990":124,"1991":125,"1992":126,"1993":127,"1994":128,"1995":129,"1996":115,"1997":130,"1998":131,"1999":132,"2000":133,"2001":134,"2002":135,"2003":136,"2004":137,"2005":138,"2006":139,"2007":140,"2008":141,"2009":142,"2010":143,"2011":144,"2012":145,"2013":146,"2014":147,"2015":148,"2016":149,"2017":150,"2018":151,"2019":145,"2020":152,"2021":153,"2022":149,"2023":154,"2024":155},{"1983":158,"1984":159,"1985":144,"1986":160,"1987":139,"1988":126,"1989":161,"1990":162,"1991":163,"1992":164,"1993":165,"1994":166,"1995":167,"1996":168,"1999":169,"2003":170,"2004":171,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":183,"2017":184,"2018":185,"2019":186,"2020":187,"2021":188,"2022":189,"2023":124,"2024":190},{"1983":193,"1984":194,"1985":195,"1986":196,"1987":197,"1988":198,"1989":199,"1990":200,"1991":201,"1992":202,"1993":203,"1994":204,"1995":205,"1996":206,"1999":207,"2003":208,"2004":209,"2005":210,"2006":195,"2007":211,"2008":212,"2009":213,"2010":214,"2011":215,"2012":216,"2013":217,"2014":218,"2015":219,"2016":220,"2017":221,"2018":222,"2019":223,"2020":224,"2021":225,"2022":226,"2023":227,"2024":228},{"pages":2156,"volume":2158},{"VOID":2157},"155-163",{"VOID":2159},"133",{"total":398,"publishYear":1617,"statisticByYear":2161},{"2018":190,"2019":277,"2021":277,"2022":277,"2023":190,"2025":277},"2017-04-19",[80,93],{"id":2165,"createTime":2166,"updateTime":2167,"relativeEntities":2168,"slug":2169,"properties":2170,"entityType":251,"verifyStatus":252,"verifyTime":2181,"verifyNote":254,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":2182,"fullTextUrl":18,"authors":2183,"publicationType":410,"publisherRelationship":2214,"citationCount":19,"citationInfo":2273,"publishDate":2276,"publishYear":2274,"citationAnalyzeStatus":959,"lastCitationAnalyze":2277,"indexDatabases":2278,"openAccess":18,"references":18,"isForceReanalyzing":473},"900f7297-4c11-40e4-80f9-f25fde21d484","2023-12-28T04:02:02.915+00:00","2026-08-16T10:38:34.861+00:00",[],"Supraophthalmic-carotid-infusion-for-recurrent-glioma-Rationale-technique-and-preliminary-results-for-cisplatin-and-BCNU",{"abstract":2171,"title":2173,"gsPaper":2175,"references":2177,"doi":2179},{"EN":2172},"The chemotherapeutic agents 1–3 bis(2-chloroethyl)-1-nitrosourea (BCNU) and cis-diamminedichloroplatinum II (cisplatin) have both shown activity against malignant glioma, especially when given by arterial infusion. The combination of these agents given by this method is logical because their individual major toxicities are directed at different organ systems, and because of their differences in restriction by the blood-brain barrier. Both agents are toxic to the eye, and infusion of both agents simultaneously into the internal carotid artery would deliver doses of the drug to the eye which should be associated with an unacceptable level of ocular toxicity. We have developed a technique utilizing a flexible flow-directed catheter with a tip which is manipulated by hydraulic forces for delivery of the drug into the intracranial carotid artery above the origin of the ophthalmic artery, thus sparing the eye from the high concentration of drug during the first pass through the arterial circulation. In 13 patients with recurrent malignant glioma treated by arterial infusion of both agents (cisplatin 150–200 mg, BCNU 300 mg fixed dose), we have had no damage to the ipsilateral eye. Preliminary results of treatment appear to be good, with definite tumor regression following arterial infusion in 10 of 12 radiographically evaluable cases. Median survival to date is 11 months with 3 patients still surviving. The longest survival is 24 months. The supraophthalmic infusion technique protects the eye and the combination of drugs given by arterial infusion produces a high tumor response rate.",{"EN":2174},"Supraophthalmic carotid infusion for recurrent glioma: Rationale, technique, and preliminary results for cisplatin and BCNU",{"VOID":2176},"[\"3275833372723021548\"]",{"VOID":2178},"Calvo D III, Patt Y, Wallace S, et al.: Phase I-11 trial of percutaneous intra-arterial cis-diamminedichloro platinum (II) for regionally confined malignancy. Cancer 45: 1278–1283,1980.\nKapp JP, Ross RL, Tucker EM: Supraophthalmic carotid infusion for brain tumor chemotherapy. J Neurosurg 58: 616–618,1983.\nKapp JP, Vance RB: Treatment of recurrent brain tumors with intra-arterial cisplatinum and BCNU. JMS Med Assn 25:1–6,1984.\nRoss RL, Kapp JP, Hochberg F, et al.: Solvent systems for intracarotid 1,3-bis(2-chloroethyl)-1-nitrosourea(BCNU) infusion. Neurosurg 12:512–514, 1983.\nLange RC, Spencer RP, Harder HC: Synthesis and distribution of a radiolabeled anti-tumor agent: cis-diamminedichloroplatinum (II). J Nuclear Med 13:328–330, 1972.\nLitterst CL, Gram TE, Dedrick RL, et al.: Distribution and disposition of platinum following intravenous administration of cis-diam mined ichloroplatinum (II)(NSC 119875) to dogs. Cancer Res 36:2340–2344, 1976.\nTsukagosi S, Kao MH, Goldin A: Effect of 1,3-bis(2-chloroethyl)-1-nitrosourea (NSC-409962) and cyclophosphamide (NSC-26271) on nicotinamide adenine dinucleotide glycohydrolase in normal and leukemic mouse tissues. Cancer Chemother Rep 52:569–578, 1968.\nGreenberg HS, Ensminger WD, Chandler WF, et al.: Intraarterial BCNU chemotherapy for the treatment of malignant gliomas of the central nervous system. J Neurosurg 61: 423–429,1984.\nAvellanosa AM, West CR, Barua NR, et al.: Treatment of malignant CNS glioma by intra-arterial BCNU infusion. Proc Am Assoc Cancer Res 20:384, 1979.\nWest CR, Avellanosa AM, Barua NR, et al.: Intraarterial 1,3 bis(2-chloroethyl)-1-nitrosurea (BCNU) and systemic chemotherapy for malignant gliomas: A follow-up study. Neurosurgery 13:420–426,1983.\nFeun L, Wallace S, Stewart DJ, et al.: Phase 1–11 trial of intracarotid cis-diamminedichloroplatinum II in patients with intracerebral tumors. Proc Am Assoc Cancer Res and ASCO 1:197, 1982 (abstract #764).\nFenn LG, Wallace S, Young WA, et al.: Phase I trial of intracarotid BCNU and Cisplatin in patients with malignant intracerebral tumors. Cancer Drug Delivery 1:239–245, 1984.\nWalker MD, Green SB, Byar DP, et al.: Randomized comparisons of radiotherapy and nitrosoureas for the treatment of malignant glioma after surgery. N Eng J Med 303: 1323–1329,1980.\nHochberg FH, Linggood R, Wolfson L, et al.: Quality and duration of survival in glioblastoma multiforme. Combined surgical, radiation, and lomustine therapy. JAMA 241: 1016–1018,1979.",{"VOID":2180},"10.1007\u002FBF00165165","2024-05-14T08:53:06.800+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF00165165",[2184,2199],{"id":2185,"sortIndex":19,"researcher":18,"roles":2186,"affiliations":2187,"properties":2196,"displayName":2198,"givenName":18,"familyName":18},"e1e80a7c-6254-4fc4-a931-c147c3fc09d3",[262],[2188],{"id":2189,"sortIndex":19,"affiliation":2190,"properties":18},"8941475e-6960-49b7-b986-e2bf0307fb65",{"id":2189,"createTime":18,"updateTime":18,"relativeEntities":2191,"slug":18,"properties":2192,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":2195,"statistic":18},[],{"title":2193},{"VI":2194},"Department of Neurosurgery, University of Mississippi Medical Center, Jackson, USA",[],{"title":2197},{"VI":2198},"John P Kapp",{"id":2200,"sortIndex":277,"researcher":18,"roles":2201,"affiliations":2202,"properties":2211,"displayName":2213,"givenName":18,"familyName":18},"bdc941b6-9e48-4b13-a39c-577fbe58e79a",[262],[2203],{"id":2204,"sortIndex":19,"affiliation":2205,"properties":18},"db47614c-b4ba-4923-949a-39023ca1371d",{"id":2204,"createTime":18,"updateTime":18,"relativeEntities":2206,"slug":18,"properties":2207,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":2210,"statistic":18},[],{"title":2208},{"VI":2209},"Division of Oncology, University of Mississippi Medical Center, Jackson, USA",[],{"title":2212},{"VI":2213},"Ralph B Vance",{"url":2182,"publisher":2215,"properties":2268},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":2216,"slug":10,"properties":2217,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":2220,"manageAffiliations":2237,"indexDatabases":2248,"url":18,"thumbnailPath":18,"statistic":2263,"gsStatistic":18,"type":230,"analyzePriority":18},[],{"issn":2218,"title":2219},{"VOID":13},{"VOID":15},[2221,2225,2229,2233],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":2222,"label":2223,"description":2224,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":2226,"label":2227,"description":2228,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},{"id":34,"createTime":18,"updateTime":18,"relativeEntities":2230,"label":2231,"description":2232,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":37},{},{"id":40,"createTime":18,"updateTime":18,"relativeEntities":2234,"label":2235,"description":2236,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":43},{},[2238,2243],{"id":47,"createTime":18,"updateTime":18,"relativeEntities":2239,"slug":18,"properties":2240,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":2242,"statistic":18},[],{"title":2241},{"EN":51},[],{"id":54,"createTime":18,"updateTime":18,"relativeEntities":2244,"slug":18,"properties":2245,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":2247,"statistic":18},[],{"title":2246},{"EN":58},[],[2249,2256],{"id":62,"indexDatabase":2250,"url":73,"indexYears":74,"academicFieldIds":2255,"indexDatabaseRanking":80},{"id":64,"createTime":18,"updateTime":18,"relativeEntities":2251,"label":2252,"description":2253,"key":70,"publicationTags":2254,"standard":18},[],{"EN":67,"VI":67},{"EN":67,"VI":69},[72],[76,77,78,79],{"id":82,"indexDatabase":2257,"url":95,"indexYears":18,"academicFieldIds":2262,"indexDatabaseRanking":18},{"id":84,"createTime":18,"updateTime":18,"relativeEntities":2258,"label":2259,"description":2260,"key":91,"publicationTags":2261,"standard":18},[],{"EN":87,"VI":87},{"EN":89,"VI":90},[93,94],[97,98],{"impactFactor":19,"impactFactorByYear":2264,"i10Index":114,"i10IndexLast5Year":115,"totalPublication":116,"totalPublicationByYear":2265,"totalCitation":156,"totalCitationByYear":2266,"totalCitationPerPublication":191,"totalCitationPerPublicationByYear":2267,"hindexLast5Year":229,"hindex":229},{"2000":19,"2001":101,"2012":102,"2013":103,"2014":104,"2015":105,"2016":106,"2017":107,"2018":108,"2019":109,"2020":110,"2021":111,"2022":112,"2023":113},{"1983":118,"1984":119,"1985":120,"1986":121,"1987":122,"1988":123,"1989":121,"1990":124,"1991":125,"1992":126,"1993":127,"1994":128,"1995":129,"1996":115,"1997":130,"1998":131,"1999":132,"2000":133,"2001":134,"2002":135,"2003":136,"2004":137,"2005":138,"2006":139,"2007":140,"2008":141,"2009":142,"2010":143,"2011":144,"2012":145,"2013":146,"2014":147,"2015":148,"2016":149,"2017":150,"2018":151,"2019":145,"2020":152,"2021":153,"2022":149,"2023":154,"2024":155},{"1983":158,"1984":159,"1985":144,"1986":160,"1987":139,"1988":126,"1989":161,"1990":162,"1991":163,"1992":164,"1993":165,"1994":166,"1995":167,"1996":168,"1999":169,"2003":170,"2004":171,"2005":172,"2006":173,"2007":174,"2008":175,"2009":176,"2010":177,"2011":178,"2012":179,"2013":180,"2014":181,"2015":182,"2016":183,"2017":184,"2018":185,"2019":186,"2020":187,"2021":188,"2022":189,"2023":124,"2024":190},{"1983":193,"1984":194,"1985":195,"1986":196,"1987":197,"1988":198,"1989":199,"1990":200,"1991":201,"1992":202,"1993":203,"1994":204,"1995":205,"1996":206,"1999":207,"2003":208,"2004":209,"2005":210,"2006":195,"2007":211,"2008":212,"2009":213,"2010":214,"2011":215,"2012":216,"2013":217,"2014":218,"2015":219,"2016":220,"2017":221,"2018":222,"2019":223,"2020":224,"2021":225,"2022":226,"2023":227,"2024":228},{"pages":2269,"volume":2271},{"VOID":2270},"5-11",{"VOID":2272},"3",{"total":19,"publishYear":2274,"statisticByYear":2275},1985,{},"1985-03-01","2026-08-16T10:38:34.860+00:00",[80,93],{"id":2280,"createTime":2281,"updateTime":2282,"relativeEntities":2283,"slug":2284,"properties":2285,"entityType":251,"verifyStatus":252,"verifyTime":2296,"verifyNote":254,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":2297,"fullTextUrl":18,"authors":2298,"publicationType":410,"publisherRelationship":2450,"citationCount":350,"citationInfo":2509,"publishDate":2512,"publishYear":2510,"citationAnalyzeStatus":959,"lastCitationAnalyze":2513,"indexDatabases":2514,"openAccess":18,"references":18,"isForceReanalyzing":473},"eef3e4e8-5dc9-4c73-8137-e482231f0ea0","2024-02-12T04:35:11.030+00:00","2026-08-15T13:08:56.080+00:00",[],"Volumetric-hippocampal-changes-in-glioblastoma-a-biomarker-for-neuroplasticity-",{"abstract":2286,"title":2288,"gsPaper":2290,"references":2292,"doi":2294},{"EN":2287},"The pleiotropic effect of gliomas on the development of cognitive disorders and structural brain changes has garnered increasing interest in recent years. While it is widely accepted that multimodal therapies for brain cancer can foster cognitive impairment, the direct effect of gliomas on critical cognitive areas before anti-tumor therapies is still controversial. In this study, we focused on the effect of IDH1 wild-type glioblastoma on the human hippocampus volume. We carried out a case-control study using voxel-based morphometry assessment, analyzed with the Computational Anatomy Toolbox software. Glioblastoma diagnosis was performed according to the latest 2021 WHO classification. Due to stringent inclusion criteria, 15 patients affected by IDH1 wild type glioblastoma were included and compared to 19 age-matched controls. We observed a statistically significant increase in the absolute mean hippocampal volume (p = 0.017), as well as in the ipsilateral (compared to the lesion, p = 0.027) and the contralateral hippocampal volumes (p = 0.014) in the group of patients. When the data were normalized per total intracranial volume, we confirmed a statistically significant increase only in the contralateral hippocampal volume (p = 0.042). To the best of our knowledge, this is the first study to explore hippocampal volumetric changes in a cohort of adult patients affected by IDH1 wild-type glioblastoma, according to the latest WHO classification. We demonstrated an adaptive volumetric response of the hippocampus, which was more pronounced on the side contralateral to the lesion, suggesting substantial integrity and resilience of the medial temporal structures before the initiation of multimodal treatments.",{"EN":2289},"Volumetric hippocampal changes in glioblastoma: a biomarker for neuroplasticity?",{"VOID":2291},"[\"10720430850800903479\"]",{"VOID":2293},"Giovagnoli AR (2012) Investigation of cognitive impairments in people with brain tumors. J Neurooncol 108(2):277–283. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11060-012-0815-6\nNolen SC, Lee B, Shantharam S, Yu HJ, Su L, Billimek J, Bota DA (2016) The effects of sequential treatments on hippocampal volumes in malignant glioma patients. J Neurooncol 129(3):433–441. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11060-016-2188-8\nSon Y, Yang M, Wang H, Moon C (2015) Hippocampal dysfunctions caused by cranial irradiation: a review of the experimental evidence. Brain Behav Immun 45:287–296. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.bbi.2015.01.007\nOstrom QT, Bauchet L, Davis FG, Deltour I, Fisher JL, Langer CE, Pekmezci M, Schwartzbaum JA, Turner MC, Walsh KM, Wrensch MR, Barnholtz-Sloan JS (2014) The epidemiology of glioma in adults: a “state of the science” review. Neurooncology 16(7):896–913. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fneuonc\u002Fnou087\nHassel B, Niehusmann P, Halvorsen B, Dahlberg D (2022) Pro-inflammatory cytokines in cystic glioblastoma: a quantitative study with a comparison with bacterial brain abscesses. With an MRI investigation of displacement and destruction of the brain tissue surrounding a glioblastoma. Front Oncol 12:846674. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffonc.2022.846674\nYe ZC, Sontheimer H (1999) Glioma cells release excitotoxic concentrations of glutamate. Cancer Res 59(17):4383–4391\nMughal AA, Zhang L, Fayzullin A, Server A, Li Y, Wu Y, Glass R, Meling T, Langmoen IA, Leergaard TB, Vik-Mo EO (2018) Patterns of invasive growth in malignant gliomas-the hippocampus emerges as an invasion-spared brain region. Neoplasia (New York, NY) 20(7):643–656. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.neo.2018.04.001\nRolando C, Taylor V (2014) Neural stem cell of the hippocampus: development, physiology regulation, and dysfunction in disease. Curr Top Dev Biol 107:183–206. https:\u002F\u002Fdoi.org\u002F10.1016\u002FB978-0-12-416022-4.00007-X\nKarunamuni RA, Seibert TM, White NS, McEvoy L, Farid N, Brewer J, Dale AM, McDonald CR, Hattangadi-Gluth JA (2017) Abnormalities in hippocampal volume of glioma patients prior to radiotherapy. Acta Oncol (Stockholm Sweden) 56(3):427–430. https:\u002F\u002Fdoi.org\u002F10.1080\u002F0284186X.2017.1280847\nDavid N, Louis A, Perry P, Wesseling DJ, Brat IA, Cree D, Figarella-Branger C, Hawkins HK, Ng SM, Pfister G, Reifenberger R, Soffietti A, von Deimling DW, Ellison (2021) The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro-Oncology 23(8):1231–1251\nKikuchi K, Hiratsuka Y, Kohno S, Ohue S, Miki H, Mochizuki T (2016) Radiological features of cerebellar glioblastoma. J Neuroradiol 43(4):260–265. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.neurad.2015.10.006\nPalpan Flores A, Vivancos Sanchez C, Roda JM, Cerdán S, Barrios AJ, Utrilla C, Royo A, Gandía González ML (2020) Assessment of pre-operative measurements of Tumor size by MRI methods as Survival Predictors in Wild Type IDH Glioblastoma. Front Oncol 10:1662. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffonc.2020.01662\nBroggi G, Altieri R, Barresi V et al (2023) Histologic definition of enhancing Core and FLAIR Hyperintensity Region of Glioblastoma, IDH-Wild type: a clinico-pathologic study on a Single-Institution Series. Brain Sci 13(2):248. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbrainsci13020248\nLv K, Cao X, Wang R, Du P, Fu J, Geng D, Zhang J (2022) Neuroplasticity of glioma patients: brain structure and topological network. Front Neurol 13:871613. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffneur.2022.871613\nYuan T, Ying J, Zuo Z, Gui S, Gao Z, Li G, Zhang Y, Li C (2020) Structural plasticity of the bilateral hippocampus in glioma patients. Aging 12(11):10259–10274. https:\u002F\u002Fdoi.org\u002F10.18632\u002Faging.103212\nFares J, Bou Diab Z, Nabha S, Fares Y (2019) Neurogenesis in the adult hippocampus: history, regulation, and prospective roles. Int J Neurosci 129(6):598–611\nToda T, Parylak SL, Linker SB, Gage FH (2019) The role of adult hippocampal neurogenesis in brain health and disease. Mol Psychiatry 24(1):67–87. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41380-018-0036-2\nDe Luca C, Virtuoso A, Papa M, Certo F, Barbagallo GMV, Altieri R (2022) Regional development of glioblastoma: the anatomical conundrum of cancer biology and its surgical implication. Cells 11(8):1349. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fcells11081349\nSebök M, van Niftrik CHB, Halter M, Hiller A, Seystahl K, Pangalu A, Weller M, Stippich C, Regli L, Fierstra J (2020) Crossed cerebellar Diaschisis in patients with diffuse glioma is Associated with impaired Supratentorial Cerebrovascular reactivity and worse clinical outcome. 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