title: Voxelwise single-subject analysis of imaging metabolic response to therapy in neuro-oncology.
abstract: F-18-Fluorodeoxyglucose positron emission tomography (FDG-PET) has been used to evaluate the metabolic response of metastatic brain tumors to treatment by comparing their tumor 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 tumor 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 tumor 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.
authors.affiliation: Department of Biostatistics, University of Washington, 6200 NE 74th St, Seattle, WA, 98115.
authors.forename: Mengye
authors.initials: M
authors.lastname: Guo
authors.affiliation: Center for Quantitative Cancer Imaging, University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112.
authors.forename: Jeffrey T
authors.initials: JT
authors.lastname: Yap
authors.affiliation: Department of Imaging, Dana-Farber/Harvard Cancer Center, 450 Brookline Avenue, DL101, Boston, MA 02215.
authors.forename: Annick D
authors.initials: AD
authors.lastname: Van den Abbeele
authors.affiliation: Department of Medical Oncology, Dana-Farber/Harvard Cancer Center, 450 Brookline Avenue, Boston, MA 02215.
authors.forename: Nancy U
authors.initials: NU
authors.lastname: Lin
authors.affiliation: Department of Statistics, North Carolina State University, 2311 Stinson Drive, Raleigh, NC 27615.
authors.forename: Armin
authors.initials: A
authors.lastname: Schwartzman
keywords: Statistical parametric mapping; false discovery rate; mixture distribution; multiple testing