Comparison of visual and semiquantitative analysis of 18F-FDOPA-PET/CT for recurrence detection in glioblastoma patients
Comparison of visual and semiquantitative analysis of 18F-FDOPA-PET/CT for recurrence detection in glioblastoma patients
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DOI：
10.1093/neuonc/not166
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发表时间：
2014-04-01
期刊：
影响因子：
15.9
通讯作者：
Chen, Wei
中科院分区：
文献类型：
--
作者：
Herrmann, Ken;Czernin, Johannes;Chen, Wei
F-18-FDOPA PET氨基酸转运成像越来越多地用于胶质母细胞瘤复发的检测。然而，F-18-FDOPA脑PET研究的标准化图像解释尚未建立。本研究比较了检测肿瘤复发的目视和半定量分析参数，并将其与无进展生存期（PFS）相关联。本文对110例疑似肿瘤复发的患者（男72例，女38例）行F-18-FDOPA PET显像。PET扫描进行视觉分析（5分制）和半定量分析（使用SUVmean和SUVmax测量病变与纹状体和病变与正常脑组织的比值）。通过组织病理学和临床随访验证，计算复发检测的准确性。通过接受操作者特征和Kaplan-Meier生存分析，得出基于成像的PFS和总生存期（OS）预测。检测胶质母细胞瘤复发的准确性在目测（82）和半定量（范围，7782）分析中相似。视觉和半定量指标都是PFS的重要预测指标，病变与正常脑组织的平均比值提供了最好的鉴别指标（平均生存时间，39.4个月vs 9.3个月；P .001）。所调查的参数都不能预测OS。视觉和半定量指标均能准确检测胶质母细胞瘤复发，并预测PFS。病变与正常组织比值是PFS的最佳鉴别指标；然而，所调查的参数都不能预测OS。这些回顾性建立的分析参数需要进行前瞻性确认。
Amino acid transport imaging with F-18-FDOPA PET is increasingly used for detection of glioblastoma recurrence. However, a standardized image interpretation for F-18-FDOPA brain PET studies has not yet been established. This study compares visual and semiquantitative analysis parameters for detection of tumor recurrence and correlates them with progression-free survival (PFS).One-hundred ten patients (72 male:38 female) with suspected tumor recurrence who underwent F-18-FDOPA PET imaging were studied. PET scans were analyzed visually (5-point scale) and semiquantitatively (lesion-to-striatum- and lesion- to-normal-brain-tissue ratios using both SUVmean and SUVmax). Accuracies for recurrence detection were calculated using histopathology and clinical follow-up for validation. Receiving operator characteristic and Kaplan-Meier survival analysis were performed to derive imaging-based prediction of PFS and overall survival (OS).Accuracies for detection of glioblastoma recurrence were similar for visual (82) and semiquantitative (range, 7782) analysis. Both visual and semiquantitative indices were significant predictors of PFS, with mean lesion-to normal brain tissue ratios providing the best discriminator (mean survival, 39.4 vs 9.3 months; P .001). None of the investigated parameters was predictive for OS.Both visual and semiquantitative indices detected glioblastoma recurrence with high accuracy and were predictive for PFS. Lesion-to-normal-tissue ratios were the best discriminators of PFS; however, none of the investigated parameters predicted OS. These retrospectively established analysis parameters need to be confirmed prospectively.