医学
流体衰减反转恢复
放射科
胶质母细胞瘤
核医学
磁共振成像
诊断准确性
临床实习
时间点
接收机工作特性
医学影像学
进行性疾病
作者
Thomas Zeyen,Inga Krause,Andreas Decker,Florian Kroh,Sebastian Regnery,Johannes Weller,Niklas Schaefer,Mousa Zidan,Anna-Laura Potthoff,Matthias Schneider,Lea L. Friker,Jochen Keupp,Christoph Katemann,Julian P. Layer,Christina Schaub,Eleni Gkika,Hartmut Vatter,Torsten Pietsch,Alexander Radbruch,Ulrich Herrlinger
标识
DOI:10.1093/neuonc/noaf261
摘要
Abstract Background Differentiating progressive disease (PD) from treatment-related effects (TRE) in glioblastoma remains challenging, particularly at single time point evaluations. TRE can occur at any disease stage, and its underlying biology is poorly understood. This study evaluates the clinical feasibility and diagnostic performance of amide proton transfer-weighted (APTw) MRI in this challenge. Methods Following the integration of APTw MRI into the routine clinical workflow for brain tumor imaging, we screened a total of 870 scans from 626 patients. APTw signal (voxel-based measurement) was automatically quantified in gadolinium-enhanced T1w and FLAIR regions of interest using a deep learning-based approach for 3D tumor segmentations. PD and TRE were compared using unpaired t-tests, and diagnostic accuracy was assessed via ROC- and logistic regression analysis. Results Among 256 MRI scans of 143 patients with glioblastoma, 65 scans showed PD (n = 42) or TRE (n = 23). The median APTw signal was higher in PD (2.23%) vs TRE (1.76%; p = 0.001). ROC analysis showed an area under the curve (AUC) of 0.82. In patients with early PD or TRE (<6 months post-radiotherapy), the AUC increased to 0.93. Anti-angiogenic therapy decreased APTw signal (p < 0.01). Combining APTw MRI with DWI and PWI improved diagnostic accuracy (AUC = 0.90). Conclusions APTw MRI is a non-invasive imaging tool that is feasible for clinical routine and aids in differentiation of early progression from pseudoprogression in glioblastoma. Its diagnostic accuracy decreases with application of anti-angiogenic treatment and at later follow-up time points. Highest diagnostic accuracy was found in a multimodal approach combining APTw MRI, PWI and DWI.
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