Voxelwise single-subject analysis of imaging metabolic response to therapy in neuro-oncology

• Published in: Stat Vol. 3; no. 1; pp. 172 - 186
• Main Authors: Guo, Mengye, Yap, Jeffrey T., Van den Abbeele, Annick D., Lin, Nancy U., Schwartzman, Armin
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 2014; Wiley Subscription Services, Inc
• Subjects: Adjustment; Brain; Breast; false discovery rate; Imaging; Metabolism; mixture distribution; multiple testing; Patients; Segmentation; statistical parametric mapping; Tumours; mixture distribution; Statistical parametric mapping; false discovery rate; multiple testing
• ISSN: 2049-1573; 0038-9986; 2049-1573
• DOI: 10.1002/sta4.53

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.