Diffusion-weighted MRI and PET/CT reproducibility in epithelial ovarian cancers during neoadjuvant chemotherapy

Diagnostic and interventional imaging - Tập 102 - Trang 629-639 - 2021
Amandine Crombé1,2,3, Lisa Gauquelin4, Stéphanie Nougaret5, Marine Chicart6, Marina Pulido4, Anne Floquet7, Frédéric Guyon8, Sabrina Croce9, Michèle Kind1, Anne-Laure Cazeau6
1Department of Oncologic Imaging, Institut Bergonié, Comprehensive Cancer Center of Nouvelle-Aquitaine, 33000 Bordeaux, France
2Bordeaux University, 33000 Bordeaux, France
3Modelisation in Oncology (MOnc) Team, INRIA Bordeaux-Sud-Ouest, CNRS UMR 5251, 33405, Talence, France
4Department of Biostatistics, Institut Bergonié, Comprehensive Cancer Center of Nouvelle-Aquitaine, 33000 Bordeaux, France
5Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 34090 Montpellier, France
6Department of nuclear medicine, Institut Bergonié, Comprehensive Cancer Center of Nouvelle-Aquitaine, 33000 Bordeaux, France
7Department of Medical Oncology, Institut Bergonié, Comprehensive Cancer Center of Nouvelle-Aquitaine, 33000 Bordeaux, France
8Department of Oncological Surgery, Institut Bergonié, Comprehensive Cancer Center of Nouvelle-Aquitaine, 33000 Bordeaux, France
9Department of Pathology, Institut Bergonié, Comprehensive Cancer Center of Nouvelle-Aquitaine, 33000 Bordeaux, France

Tài liệu tham khảo

Jayson, 2014, Ovarian cancer, Lancet, 384, 1376, 10.1016/S0140-6736(13)62146-7 Lheureux, 2019, Epithelial ovarian cancer, Lancet, 393, 1240, 10.1016/S0140-6736(18)32552-2 Siegel, 2016, Cancer statistics, 2016, CA: Cancer J Clin, 66, 7 Bozkurt, 2011, Comparison of peritoneal tumor imaging using conventional MR imaging and diffusion-weighted MR imaging with different b values, Eur J Radiol, 80, 224, 10.1016/j.ejrad.2010.06.004 Avril, 2005, Prediction of response to neoadjuvant chemotherapy by sequential F-18-fluorodeoxyglucose positron emission tomography in patients with advanced-stage ovarian cancer, J Clin Oncol, 23, 7445, 10.1200/JCO.2005.06.965 An, 2018, The emerging roles of functional imaging in ovarian cancer with peritoneal carcinomatosis, Clin Radiol, 73, 597, 10.1016/j.crad.2018.03.009 Kitajima, 2008, Diagnostic accuracy of integrated FDG-PET/contrast-enhanced CT in staging ovarian cancer: comparison with enhanced CT, Eur J Nucl Med Mol Imaging, 35, 1912, 10.1007/s00259-008-0890-2 Engbersen, 2019, MRI with diffusion-weighted imaging to predict feasibility of complete cytoreduction with the peritoneal cancer index (PCI) in advanced stage ovarian cancer patients, Eur J Radiol, 114, 146, 10.1016/j.ejrad.2019.03.007 Kyriazi, 2011, Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients, Radiology, 261, 182, 10.1148/radiol.11110577 Sala, 2012, Advanced ovarian cancer: multiparametric MR imaging demonstrates response- and metastasis-specific effects, Radiology, 263, 149, 10.1148/radiol.11110175 Espada, 2013, Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma, Eur Radiol, 23, 2636, 10.1007/s00330-013-2837-7 Fehniger, 2016, A prospective study evaluating diffusion weighted magnetic resonance imaging (DW-MRI) in the detection of peritoneal carcinomatosis in suspected gynecologic malignancies, Gynecol Oncol, 142, 169, 10.1016/j.ygyno.2016.04.018 Vallius, 2016, et al., 18F-FDG-PET/CT can identify histopathological non-responders to platinum-based neoadjuvant chemotherapy in advanced epithelial ovarian cancer, Gynecol Oncol, 140, 29, 10.1016/j.ygyno.2015.10.018 Michielsen, 2017, Diagnostic value of whole body diffusion-weighted MRI compared to computed tomography for pre-operative assessment of patients suspected for ovarian cancer, Eur J Cancer, 83, 88, 10.1016/j.ejca.2017.06.010 Gadelhak, 2019, Extended abdominopelvic MRI versus CT at the time of adnexal mass characterization for assessing radiologic peritoneal cancer index (PCI) prior to cytoreductive surgery, Abdom Radiol, 44, 2254, 10.1007/s00261-019-01939-y Garcia Prado, 2019, Diffusion-weighted magnetic resonance imaging in peritoneal carcinomatosis from suspected ovarian cancer: diagnostic performance in correlation with surgical findings, Eur J Radiol, 121, 108696, 10.1016/j.ejrad.2019.108696 Lee, 2020, Functional tumour burden of peritoneal carcinomatosis derived from DWI could predict incomplete tumour debulking in advanced ovarian carcinoma, Eur Radiol, 30, 5551, 10.1007/s00330-020-06887-6 Fagotti, 2008, Prospective validation of a laparoscopic predictive model for optimal cytoreduction in advanced ovarian carcinoma, Am J Obstet Gynecol., 199, 642, 10.1016/j.ajog.2008.06.052 Erdi, 1997, Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding, Cancer, 80, 2505, 10.1002/(SICI)1097-0142(19971215)80:12+<2505::AID-CNCR24>3.0.CO;2-F Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 33, 159, 10.2307/2529310 Koo, 2016, A guideline of selecting and reporting intraclass correlation coefficients for reliability research, J Chir Med, 15, 155 Benchoufi, 2020, Interobserver agreement issues in radiology, Diagn Interv Imaging, 101, 639, 10.1016/j.diii.2020.09.001 Bland, 1986, Statistical methods for assessing agreement between two methods of clinical measurement, Lancet, 1, 307, 10.1016/S0140-6736(86)90837-8 Sala, 2010, Apparent diffusion coefficient and vascular signal fraction measurements with magnetic resonance imaging: feasibility in metastatic ovarian cancer at 3 Tesla: technical development, Eur Radiol, 20, 491, 10.1007/s00330-009-1543-y Mukuda, 2016, Apparent diffusion coefficient (ADC) measurement in ovarian tumor: effect of region-of-interest methods on ADC values and diagnostic ability, J Magn Reson Imaging, 43, 720, 10.1002/jmri.25011 Rockall, 2014, Repeatability of quantitative FDG-PET/CT and contrast-enhanced CT in recurrent ovarian carcinoma: test-retest measurements for tumor FDG uptake, diameter, and volume, Clin Cancer Res, 20, 2751, 10.1158/1078-0432.CCR-13-2634 Winfield, 2015, Modelling DW-MRI data from primary and metastatic ovarian tumours, Eur Radiol, 25, 2033, 10.1007/s00330-014-3573-3 Sadowski, 2019, Adnexal lesions: imaging strategies for ultrasound and MR imaging, Diagn Interv Imaging, 100, 635, 10.1016/j.diii.2018.06.003 Tong, 2020, Differentiating benign and malignant adnexal masses: work still in progres, Diagn Interv Imaging, 101, 127, 10.1016/j.diii.2020.02.008 Türkoğlu, 2020, Differentiation between benign and malignant ovarian masses using multiparametric MRI, Diagn Interv Imaging, 101, 147, 10.1016/j.diii.2020.01.006 Nougaret, 2019, Ovarian cancer: an update on imaging in the era of radiomics, Diagn Interv Imaging, 100, 647, 10.1016/j.diii.2018.11.007 Harmon, 2005, Prognostic indicators in peritoneal carcinomatosis from gastrointestinal cancer, Int Semin Surg Oncol, 2, 3, 10.1186/1477-7800-2-3 Winfield, 2019, Diffusion-weighted MRI in advanced epithelial ovarian cancer: apparent diffusion coefficient as a response marker, Radiology, 293, 374, 10.1148/radiol.2019190545 Ma, 2017, Effect of region of interest size on ADC measurements in pancreatic adenocarcinoma, Cancer Imaging, 17, 13, 10.1186/s40644-017-0116-6 Jiang, 2018, Lung cancer: short-term reproducibility of intravoxel incoherent motion parameters and apparent diffusion coefficient at 3T.J Magn Reson Imaging, 47, 1003 Shah, 2012, Intra-reader reliability of FDG PET volumetric tumor parameters: effects of primary tumor size and segmentation methods, Ann Nucl Med, 26, 707, 10.1007/s12149-012-0630-3 Vargas, 2017, A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome, Eur Radiol, 27, 3991, 10.1007/s00330-017-4779-y Rizzo, 2018, Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months, Eur Radiol, 28, 4849, 10.1007/s00330-018-5389-z Wei, 2019, A computed tomography-based radiomic prognostic marker of advanced high-grade serous ovarian cancer recurrence: a multicenter study, Front Oncol, 9, 255, 10.3389/fonc.2019.00255