Photoacoustic signal characterization of cancer treatment response: Correlation with changes in tumor oxygenation
Tài liệu tham khảo
Hamburg, 2010, The path to personalized medicine, N. Engl. J. Med., 363, 301, 10.1056/NEJMp1006304
Adams, 2006, Estimating the cost of new drug development: is it really $802 million?, Health Aff. (Millwood), 25, 420, 10.1377/hlthaff.25.2.420
Thrall, 2004, Personalized medicine1, Radiology, 231, 613, 10.1148/radiol.2313040323
Gonzalez de Castro, 2013, Personalized cancer medicine: molecular diagnostics, predictive biomarkers, and drug resistance, Clin. Pharmacol. Ther., 93, 252, 10.1038/clpt.2012.237
Smith, 2003, Biomarkers in imaging: realizing radiology’s future, Radiology, 227, 633, 10.1148/radiol.2273020518
Sadeghi-Naini, 2015, Quantitative ultrasound spectroscopic imaging for characterization of disease extent in prostate cancer patients, Transl. Oncol., 8, 25, 10.1016/j.tranon.2014.11.005
Sadeghi-Naini, 2014, Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture, Oncotarget, 5, 3497, 10.18632/oncotarget.1950
Sadeghi-Naini, 2013, Quantitative ultrasound evaluation of tumor cell death response in locally advanced breast cancer patients receiving chemotherapy, Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res., 19, 2163, 10.1158/1078-0432.CCR-12-2965
Tadayyon, 2016, Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach, Oncotarget
Sannachi, 2015, Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters, Med. Image Anal., 20, 224, 10.1016/j.media.2014.11.009
Roblyer, 2011, Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment, Proc. Natl. Acad. Sci. U. S. A., 108, 14626, 10.1073/pnas.1013103108
Jakubowski, 2004, Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study, J. Biomed. Opt., 9, 230, 10.1117/1.1629681
Cerussi, 2007, Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy, Proc. Natl. Acad. Sci. U. S. A., 104, 4014, 10.1073/pnas.0611058104
Tran, 2016, Multiparametric monitoring of chemotherapy treatment response in locally advanced breast cancer using quantitative ultrasound and diffuse optical spectroscopy, Oncotarget
Choe, 2005, Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: a case study with comparison to MRI, Med. Phys., 32, 1128, 10.1118/1.1869612
Melo, 2013, Cancer heterogeneity—a multifaceted view, EMBO Rep., 14, 686, 10.1038/embor.2013.92
Wang, 2012, Photoacoustic tomography: In vivo imaging from organelles to organs, Science, 335, 1458, 10.1126/science.1216210
Emelianov, 2009, Photoacoustics for molecular imaging and therapy, Phys. Today, 62
Beard, 2011, Biomedical photoacoustic imaging, Interface Focus, 1, 602, 10.1098/rsfs.2011.0028
Jin, 2010, Multifunctional nanoparticles as coupled contrast agents, Nat. Commun., 1, 1, 10.1038/ncomms1042
Taruttis, 2012, Fast multispectral optoacoustic tomography (MSOT) for dynamic imaging of pharmacokinetics and biodistribution in multiple organs, PLoS One, 7, e30491, 10.1371/journal.pone.0030491
Nasiriavanaki, 2014, High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain, Proc. Natl. Acad. Sci., 111, 21, 10.1073/pnas.1311868111
Heijblom, 2015, Photoacoustic image patterns of breast carcinoma and comparisons with Magnetic Resonance Imaging and vascular stained histopathology, Sci. Rep., 5, 10.1038/srep11778
Cai, 2016, In vivo photoacoustic flow cytometry for early malaria diagnosis, Cytom. J. Int. Soc. Anal. Cytol.
Diebold, 1990, Photoacoustic ‘signatures’ of particulate matter: optical production of acoustic monopole radiation, Science, 250, 101, 10.1126/science.250.4977.101
Strohm, 2013, Probing red blood cell morphology using high-Frequency photoacoustics, Biophys. J., 105, 59, 10.1016/j.bpj.2013.05.037
Strohm, 2014, Modeling photoacoustic spectral features of micron-sized particles, Phys. Med. Biol., 59, 5795, 10.1088/0031-9155/59/19/5795
2013, Quantitative Ultrasound in Soft Tissues
Xu, 2014, The functional pitch of an organ: quantification of tissue texture with photoacoustic spectrum analysis, Radiology, 271, 248, 10.1148/radiol.13130777
Hysi, 2012, Photoacoustic ultrasound spectroscopy for assessing red blood cell aggregation and oxygenation, J. Biomed. Opt., 17, 10.1117/1.JBO.17.12.125006
Kumon, 2011, Frequency-domain analysis of photoacoustic imaging data from prostate adenocarcinoma tumors in a murine model, Ultrasound Med. Biol., 37, 834, 10.1016/j.ultrasmedbio.2011.01.012
Hysi, 2012, On the use of photoacoustics to detect red blood cell aggregation, Biomed. Opt. Express, 3, 2326, 10.1364/BOE.3.002326
Wang, 2016, Photoacoustic physio-chemical analysis of liver conditions in animal and human subjects, Proc. SPIE, vol. 9708
Q. Li, et al., Photoacoustic spectrum analysis for microstructure characterization using ultra-broad bandwidth optical ultrasonic detector, 2016, vol. 9708, pp. 970812–970812–5.
Xu, 2013, Photoacoustic and ultrasound dual-modality imaging of human peripheral joints, J. Biomed. Opt., 18, 10.1117/1.JBO.18.1.010502
Saha, 2011, A simulation study on photoacoustic signals from red blood cells, J. Acoust. Soc. Am., 129, 2935, 10.1121/1.3570946
Zalev, 2011, Detecting abnormal vasculature from photoacoustic signals using wavelet-packet features, Proc. SPIE, vol. 7899, 10.1117/12.873911
Saha, 2012, Validity of a theoretical model to examine blood oxygenation dependent optoacoustics, J. Biomed. Opt., 17, 550021, 10.1117/1.JBO.17.5.055002
Saha, 2015, A simulation study on the quantitative assessment of tissue microstructure with photoacoustics, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 62, 881, 10.1109/TUFFC.2015.006993
Wang, 2015, Theoretical and experimental study of spectral characteristics of the photoacoustic signal from stochastically distributed particles, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 62, 1245, 10.1109/TUFFC.2014.006806
Xu, 2015, Photoacoustic spectrum analysis for microstructure characterization in biological tissue: analytical model, Ultrasound Med. Biol., 41, 1473, 10.1016/j.ultrasmedbio.2015.01.010
Fadhel, 2016, Photoacoustic simulation of microvessel bleeding: spectral analysis and its implication for monitoring vascular-targeted treatments, Proc. SPIE, vol. 9708
May, 2016, Photoacoustic imaging of cancer treatment response: early detection of therapeutic effect from thermosensitive liposomes, PLoS One, 11, e0165345, 10.1371/journal.pone.0165345
Mallidi, 2015, Prediction of tumor recurrence and therapy monitoring using ultrasound-guided photoacoustic imaging, Theranostics, 5, 289, 10.7150/thno.10155
Shao, 2015, Monitoring photodynamic therapy with photoacoustic microscopy, J. Biomed. Opt., 20, 106012, 10.1117/1.JBO.20.10.106012
Tagami, 2011, Optimization of a novel and improved thermosensitive liposome formulated with DPPC and a Brij surfactant using a robust in vitro system, J. Controlled Release, 154, 290, 10.1016/j.jconrel.2011.05.020
Tagami, 2011, MRI monitoring of intratumoral drug delivery and prediction of the therapeutic effect with a multifunctional thermosensitive liposome, Biomaterials, 32, 6570, 10.1016/j.biomaterials.2011.05.029
Tagami, 2011, Efficient tumor regression by a single and low dose treatment with a novel and enhanced formulation of thermosensitive liposomal doxorubicin, J. Controlled Release, 152, 303, 10.1016/j.jconrel.2011.02.009
May, 2013, Hyperthermia-induced drug targeting, Expert Opin. Drug Deliv., 10, 511, 10.1517/17425247.2013.758631
Needham, 2000, A new temperature-sensitive liposome for use with mild hyperthermia: characterization and testing in a human tumor xenograft model, Cancer Res., 60, 1197
Needham, 2001, The development and testing of a new temperature-sensitive drug delivery system for the treatment of solid tumors, Adv. Drug Deliv. Rev., 53, 285, 10.1016/S0169-409X(01)00233-2
Needles, 2013, Development and initial application of a fully integrated photoacoustic micro-ultrasound system, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 60, 888, 10.1109/TUFFC.2013.2646
Nam, 2012, Cross-imaging system comparison of backscatter coefficient estimates from a tissue-mimicking material, J. Acoust. Soc. Am., 132, 1319, 10.1121/1.4742725
Wirtzfeld, 2010, Cross-imaging platform comparison of ultrasonic backscatter coefficient measurements of live rat tumors, J. Ultrasound Med. Off. J. Am. Inst. Ultrasound Med., 29, 1117
Madsen, 2010, Anechoic sphere phantoms for estimating 3-D resolution of very-high-frequency ultrasound scanners, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 57, 2284, 10.1109/TUFFC.2010.1689
Madsen, 2011, Properties of phantom tissuelike polymethylpentene in the frequency range 20–70 MHZ, Ultrasound Med. Biol., 37, 1327, 10.1016/j.ultrasmedbio.2011.05.023
Hysi, 2014, Photoacoustic tissue characterization using envelope statistics and ultrasonic spectral parameters, Proc SPIE, 8943
Wang, 2012, Video-rate functional photoacoustic microscopy at depths, J. Biomed. Opt., 17, 1060071, 10.1117/1.JBO.17.10.106007
Cox, 2012, Quantitative spectroscopic photoacoustic imaging: a review, J. Biomed. Opt., 17
Wang, 2006, Noninvasive imaging of hemoglobin concentration and oxygenation in the rat brain using high-resolution photoacoustic tomography, J. Biomed. Opt., 11, 10.1117/1.2192804
Lizzi, 1983, Theoretical framework for spectrum analysis in ultrasonic tissue characterization, J. Acoust. Soc. Am., 73, 1366, 10.1121/1.389241
Lizzi, 1987, Relationship of ultrasonic spectral parameters to features of tissue microstructure, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 34, 319, 10.1109/T-UFFC.1987.26950
Eisenhauer, 2009, New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1), Eur. J. Cancer Oxf. Engl. 1990, 45, 228
Jain, 2003, Molecular regulation of vessel maturation, Nat. Med., 9, 685, 10.1038/nm0603-685
Chen, 2008, Tumor microvascular permeability is a key determinant for antivascular effects of doxorubicin encapsulated in a temperature sensitive liposome, Int. J. Hyperthermia, 24, 475, 10.1080/02656730701854767
Xu, 2012, Photoacoustic spectrum analysis for microstructure characterization in biological tissue: a feasibility study, Appl. Phys. Lett., 101, 221102, 10.1063/1.4768703
Rich, 2016, Photoacoustic monitoring of tumor and normal tissue response to radiation, Sci. Rep., 6
Gerling, 2014, Real-time assessment of tissue hypoxia in vivo with combined photoacoustics and high-frequency ultrasound, Theranostics, 4, 604, 10.7150/thno.7996
Manzoor, 2012, Overcoming limitations in nanoparticle drug delivery: triggered, intravascular release to improve drug penetration into tumors, Cancer Res., 72, 5566, 10.1158/0008-5472.CAN-12-1683
Li, 2013, Mild hyperthermia triggered doxorubicin release from optimized stealth thermosensitive liposomes improves intratumoral drug delivery and efficacy, J. Control. Release Off. J. Control. Release Soc., 168, 142, 10.1016/j.jconrel.2013.03.011
Chen, 2004, Targeting tumor microvessels using doxorubicin encapsulated in a novel thermosensitive liposome, Mol. Cancer Ther., 3, 1311, 10.1158/1535-7163.1311.3.10
Xu, 2016, High resolution physio-chemical tissue analysis: towards non-invasive In vivo biopsy, Sci. Rep., 6
Erpelding, 2010, Sentinel lymph nodes in the rat: noninvasive photoacoustic and US imaging with a clinical US system 1, Radiology, 256, 102, 10.1148/radiol.10091772
Czarnota, 1999, Ultrasound imaging of apoptosis: high-resolution non-invasive monitoring of programmed cell death in vitro, in situ and in vivo, Br. J. Cancer, 81, 520, 10.1038/sj.bjc.6690724
Kolios, 2002, Ultrasonic spectral parameter characterization of apoptosis, Ultrasound Med. Biol., 28, 589, 10.1016/S0301-5629(02)00492-1
Vlad, 2008, Quantitative ultrasound characterization of cancer radiotherapy effects in vitro, Int. J. Radiat. Oncol. Biol. Phys., 72, 1236, 10.1016/j.ijrobp.2008.07.027
Oelze, 2004, Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging, IEEE Trans. Med. Imaging, 23, 764, 10.1109/TMI.2004.826953