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MRI and Diffusion-weighted MRI Volumetry for Identification of Complete Tumor Responders After Preoperative Chemoradiotherapy in Patients With Rectal Cancer: A Bi-institutional Validation Study.磁共振成像和扩散加权磁共振成像容积测量法用于识别直肠癌患者术前放化疗后完全肿瘤缓解者:一项双机构验证研究
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Tumor regression grading after preoperative chemoradiotherapy for locally advanced rectal carcinoma revisited: updated results of the CAO/ARO/AIO-94 trial.局部进展期直肠癌术前放化疗后肿瘤退缩分级的再评价:CAO/ARO/AIO-94 研究的更新结果。
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Tumor regression grading in rectal cancer: is it time to move forward?直肠癌中的肿瘤消退分级:是时候向前迈进了吗?
J Clin Oncol. 2014 May 20;32(15):1534-6. doi: 10.1200/JCO.2014.55.4766. Epub 2014 Apr 21.
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Local recurrence after complete clinical response and watch and wait in rectal cancer after neoadjuvant chemoradiation: impact of salvage therapy on local disease control.新辅助放化疗后完全临床缓解和观察等待的直肠癌局部复发:挽救治疗对局部疾病控制的影响。
Int J Radiat Oncol Biol Phys. 2014 Mar 15;88(4):822-8. doi: 10.1016/j.ijrobp.2013.12.012. Epub 2014 Feb 1.
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Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient.前列腺癌侵袭性:表观扩散系数全病变直方图分析评估。
Radiology. 2014 Apr;271(1):143-52. doi: 10.1148/radiol.13130973. Epub 2013 Dec 12.
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Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade.肝细胞癌的体素内不相干运动弥散加权磁共振成像:与强化程度和组织学分级的相关性。
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Nonalcoholic fatty liver disease: intravoxel incoherent motion diffusion-weighted MR imaging-an experimental study in a rabbit model.非酒精性脂肪性肝病:体素内不相干运动扩散加权磁共振成像-兔模型的实验研究。
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基于体素内不相干运动的直方图指标评估直肠癌放化疗后反应:初步经验及单层面与容积分析比较

Intravoxel Incoherent Motion-derived Histogram Metrics for Assessment of Response after Combined Chemotherapy and Radiation Therapy in Rectal Cancer: Initial Experience and Comparison between Single-Section and Volumetric Analyses.

作者信息

Nougaret Stephanie, Vargas Hebert Alberto, Lakhman Yulia, Sudre Romain, Do Richard K G, Bibeau Frederic, Azria David, Assenat Eric, Molinari Nicolas, Pierredon Marie-Ange, Rouanet Philippe, Guiu Boris

机构信息

From the Department of Abdominal Imaging, Saint Eloi University Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295 Montpellier Cedex 5, France (S.N., M.A.P., B.G.); Institute of Cancer Research of Montpellier (IRCM-U1194), Montpellier, France (S.N., F.B., D.A., B.G.); INSERM, Unit 896, Montpellier, France (S.N., B.G.); Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY (H.A.V., Y.L., R.K.G.D.); Departments of Radiology (R.S.), Histopathology (F.B.), Oncology and Radiation Therapy (D.A., E.A.), and Surgery (P.R.), Montpellier Cancer Institute, Montpellier, France; and Department of Statistics-IMAG, Montpellier University, CHU Montpellier, Montpellier, France (N.M.).

出版信息

Radiology. 2016 Aug;280(2):446-54. doi: 10.1148/radiol.2016150702. Epub 2016 Feb 26.

DOI:10.1148/radiol.2016150702
PMID:26919562
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4976464/
Abstract

Purpose To determine the diagnostic performance of intravoxel incoherent motion (IVIM) parameters and apparent diffusion coefficient (ADC) to assess response to combined chemotherapy and radiation therapy (CRT) in patients with rectal cancer by using histogram analysis derived from whole-tumor volumes and single-section regions of interest (ROIs). Materials and Methods The institutional review board approved this retrospective study of 31 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after CRT, including diffusion-weighted imaging with 34 b values prior to surgery. Patient consent was not required. ADC, perfusion-related diffusion fraction (f), slow diffusion coefficient (D), and fast diffusion coefficient (D*) were calculated on MR images acquired before and after CRT by using biexponential fitting. ADC and IVIM histogram metrics and median values were obtained by using whole-tumor volume and single-section ROI analyses. All ADC and IVIM parameters obtained before and after CRT were compared with histopathologic findings by using t tests with Holm-Sidak correction. Receiver operating characteristic curves were generated to evaluate the diagnostic performance of IVIM parameters derived from whole-tumor volume and single-section ROIs for prediction of histopathologic response. Results Extreme values aside, results of histogram analysis of ADC and IVIM were equivalent to median values for tumor response assessment (P > .06). Prior to CRT, none of the median ADC and IVIM diffusion metrics correlated with subsequent tumor response (P > .36). Median D and ADC values derived from either whole-volume or single-section analysis increased significantly after CRT (P ≤ .01) and were significantly higher in good versus poor responders (P ≤ .02). Median IVIM f and D* values did not significantly change after CRT and were not associated with tumor response to CRT (P > .36). Interobserver agreement was excellent for whole-tumor volume analysis (range, 0.91-0.95) but was only moderate for single-section ROI analysis (range, 0.50-0.63). Conclusion Median D and ADC values obtained after CRT were useful for discrimination between good and poor responders. Histogram metrics did not add to the median values for assessment of tumor response. Volumetric analysis demonstrated better interobserver reproducibility when compared with single-section ROI analysis. (©) RSNA, 2016 Online supplemental material is available for this article.

摘要

目的 通过使用源自全肿瘤体积和单层面感兴趣区(ROI)的直方图分析,确定体素内不相干运动(IVIM)参数和表观扩散系数(ADC)在评估直肠癌患者联合化疗和放疗(CRT)疗效方面的诊断性能。材料与方法 机构审查委员会批准了这项对31例直肠癌患者的回顾性研究,这些患者在CRT前后接受了磁共振(MR)成像检查,包括术前具有34个b值的扩散加权成像。无需患者同意。通过双指数拟合在CRT前后采集的MR图像上计算ADC、灌注相关扩散分数(f)、慢扩散系数(D)和快扩散系数(D*)。通过全肿瘤体积和单层面ROI分析获得ADC和IVIM直方图指标及中位数。使用经Holm-Sidak校正的t检验将CRT前后获得的所有ADC和IVIM参数与组织病理学结果进行比较。生成受试者操作特征曲线以评估源自全肿瘤体积和单层面ROI的IVIM参数对组织病理学反应预测的诊断性能。结果 除极值外,ADC和IVIM的直方图分析结果与肿瘤反应评估的中位数相当(P > 0.06)。在CRT之前,中位数ADC和IVIM扩散指标均与随后的肿瘤反应无关(P > 0.36)。全容积或单层面分析得出的中位数D和ADC值在CRT后显著增加(P≤0.01),且在反应良好组与反应不良组中显著更高(P≤0.02)。中位数IVIM f和D*值在CRT后无显著变化,且与CRT的肿瘤反应无关(P > 0.36)。观察者间一致性对于全肿瘤体积分析非常好(范围为0.91 - 0.95),但对于单层面ROI分析仅为中等(范围为0.50 - 0.63)。结论 CRT后获得的中位数D和ADC值有助于区分反应良好组与反应不良组。直方图指标在评估肿瘤反应方面并未补充中位数的价值。与单层面ROI分析相比,容积分析显示出更好的观察者间可重复性。(©)RSNA,2016 本文有在线补充材料。