Reliability of tumor volume estimation from MR images in patients with malignant glioma. Results from the American College of Radiology Imaging Network (ACRIN) 6662 Trial
Reliability of tumor volume estimation from MR images in patients with malignant glioma. Results from the American College of Radiology Imaging Network (ACRIN) 6662 Trial
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DOI：
10.1007/s00330-008-1191-7
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发表时间：
2009-03-01
影响因子：
5.9
通讯作者：
Schmalfuss, Ilona M.
中科院分区：
文献类型：
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作者：
Ertl-Wagner, Birgit B.;Blume, Jeffrey D.;Schmalfuss, Ilona M.
恶性胶质瘤肿瘤生长的可靠评估在临床上和研究新的治疗药物时都是一个共同的问题。我们的目的是评估两个软件系统的能力，以估计体积变化的肿瘤和/或水肿的磁共振（MR）图像的恶性胶质瘤。20例来自不同部位的恶性胶质瘤患者。使用代表两种基本分割方法的两种软件系统（单图像模糊分析（3DVIEWNIX-TV）和多光谱图像分析（Eigentool））以及由16名独立阅片人（8名MR认证技术人员，4名神经放射学研究员，4名神经放射学专家）手动方法对系列术后MR图像进行评估。由每位阅片者独立评估增强的肿瘤体积和肿瘤体积加水肿。组内相关系数（ICC），方差分量和预测区间进行了估计。软件系统之间的平均肿瘤体积随时间的变化无显著差异（p > 0.05）。这两个软件系统都比手动测量更可靠，预测区间更小。由研究员/神经放射学家或technologists.Semi-automated软件系统确定的体积变化之间没有显着差异，是可靠的工具，作为临床研究的结果参数和治疗决策的基础恶性胶质瘤，而手动测量不太可靠，不应该是临床或研究结果研究的基础。
Reliable assessment of tumor growth in malignant glioma poses a common problem both clinically and when studying novel therapeutic agents. We aimed to evaluate two software-systems in their ability to estimate volume change of tumor and/or edema on magnetic resonance (MR) images of malignant gliomas. Twenty patients with malignant glioma were included from different sites. Serial post-operative MR images were assessed with two software systems representative of the two fundamental segmentation methods, single-image fuzzy analysis (3DVIEWNIX-TV) and multi-spectral-image analysis (Eigentool), and with a manual method by 16 independent readers (eight MR-certified technologists, four neuroradiology fellows, four neuroradiologists). Enhancing tumor volume and tumor volume plus edema were assessed independently by each reader. Intraclass correlation coefficients (ICCs), variance components, and prediction intervals were estimated. There were no significant differences in the average tumor volume change over time between the software systems (p > 0.05). Both software systems were much more reliable and yielded smaller prediction intervals than manual measurements. No significant differences were observed between the volume changes determined by fellows/neuroradiologists or technologists.Semi-automated software systems are reliable tools to serve as outcome parameters in clinical studies and the basis for therapeutic decision-making for malignant gliomas, whereas manual measurements are less reliable and should not be the basis for clinical or research outcome studies.