F‐18‐Fluorodeoxyglucose positron emission tomography (FDG‐PET) has been used to evaluate the metabolic response of metastatic brain tumours to treatment by comparing their tumour glucose metabolism before and after treatment. The standard analysis based on regions‐of‐interest has the advantage of simplicity. However, it is by definition restricted to those regions and is subject to observer variability. In addition, the observed changes in tumour metabolism are often confounded by normal changes in the tissue background, which can be heterogenous. We propose an analysis pipeline for automatically detecting the change at each voxel in the entire brain of a single subject, while adjusting for changes in the background. The complete analysis includes image registration, segmentation, a hierarchical model for background adjustment and voxelwise statistical comparisons. We demonstrate the method's ability to identify areas of tumour response and/or progression in two subjects enrolled in a clinical trial using FDG‐PET to evaluate lapatinib for the treatment of brain metastases in breast cancer patients. Copyright © 2014 John Wiley & Sons, Ltd.

中文翻译：

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神经肿瘤学治疗的成像代谢反应的体素单受试者分析。


F-18-氟脱氧葡萄糖正电子发射断层扫描（FDG-PET）已被用于通过比较治疗前后的肿瘤葡萄糖代谢来评估转移性脑肿瘤对治疗的代谢反应。基于感兴趣区域的标准分析具有简单的优点。然而，根据定义，它仅限于这些区域，并且会受到观察者变化的影响。此外，观察到的肿瘤代谢变化常常与组织背景的正常变化相混淆，而组织背景可能是异质的。我们提出了一种分析管道，用于自动检测单个受试者整个大脑中每个体素的变化，同时调整背景的变化。完整的分析包括图像配准、分割、背景调整的分层模型和体素统计比较。我们证明了该方法能够识别参加一项使用 FDG-PET 评估拉帕替尼治疗乳腺癌患者脑转移的临床试验的两名受试者的肿瘤反应和/或进展区域。版权所有 © 2014 约翰·威利父子有限公司