Recurrent Glioblastoma Treated with Bevacizumab: Contrast-enhanced T1-weighted Subtraction Maps Improve Tumor Delineation and Aid Prediction of Survival in a Multicenter Clinical Trial

医学 贝伐单抗 临床试验 核医学 减法 体素 单变量 放射科 多元分析 胶质母细胞瘤 对比度(视觉) 无进展生存期 内科学 多元统计 总体生存率 人工智能 化疗 计算机科学 机器学习 数学 算术 癌症研究
作者
Benjamin M. Ellingson,Hee Jin Kim,Davis C. Woodworth,Whitney B. Pope,Jonathan N. Cloughesy,Robert J. Harris,Albert Lai,Phioanh Leia Nghiemphu,Timothy F. Cloughesy
出处
期刊:Radiology [Radiological Society of North America]
卷期号:271 (1): 200-210 被引量:152
标识
DOI:10.1148/radiol.13131305
摘要

To compare the capability to aid prediction of clinical outcome measures, including progression-free survival (PFS) and overall survival (OS), between volumetric estimates from contrast material-enhanced (CE) T1-weighted subtraction maps and traditional segmentation in a randomized multicenter clinical trial of recurrent glioblastoma (GBM) patients treated with bevacizumab. Materials andMethods:All patients participating in this study signed institutional review board-approved informed consent at their respective institutions prior to enrolling in the multicenter clinical trial.One-hundred sixty patients with recurrent GBM enrolled as part of a HIPAA-compliant, multicenter clinical trial (AVF3708 g, BRAIN trial).Contrast-enhancing tumor volumes and change in volumes as a response to therapy were quantified by using either conventional segmentation or CE T1-weighted subtraction maps created by voxel-by-voxel subtraction of intensity-normalized nonenhanced T1-weighted images from CE T1-weighted images.These volumes were then tested as predictors of PFS and OS by using log-rank univariate analysis, the multivariate Cox proportional hazards regression model, and receiver operating characteristic analysis. Results:Use of CE T1-weighted subtraction maps qualitatively improved visualization and improved quantification of tumor volume after bevacizumab treatment.Significant trends between the volume of tumor and change in tumor volume after therapy on CE T1weighted subtraction maps were found for both PFS and OS (pretreatment volume , 15 cm 3 , P , .003;posttreatment volume , 7.5 cm 3 , P , .05;percentage change in volume .25%, P = .004for PFS and P = .053for OS).CE T1-weighted subtraction maps were significantly better at aiding prediction of 6-month PFS and 12-month OS compared with conventional segmentation by using receiver operating characteristic analysis (P , .05). Conclusion:Use of CE T1-weighted subtraction maps improved visualization and aided better prediction of patient survival in recurrent GBM treated with bevacizumab compared with conventional segmentation of CE T1-weighted images.

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