1 June 2017 Method for detecting voxelwise changes in fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials
Author Affiliations +
J. of Medical Imaging, 4(2), 024006 (2017). doi:10.1117/1.JMI.4.2.024006
Abstract
An important challenge to using fluorodeoxyglucose-positron emission tomography (FDG-PET) in clinical trials of brain tumor patients is to identify malignant regions whose metabolic activity shows significant changes between pretreatment and a posttreatment scans in the presence of high normal brain background metabolism. This paper describes a semiautomated processing and analysis pipeline that is able to detect such changes objectively with a given false detection rate. Image registration and voxelwise comparison of the pre- and posttreatment images were performed. A key step is adjustment of the observed difference by the estimated background change at each voxel, thereby overcoming the confounding effect of spatially heterogeneous metabolic activity in the brain. Components of the proposed method were validated via phantom experiments and computer simulations. It achieves a false response volume accuracy of 0.4% at a significance threshold of 3 standard deviations. It is shown that the proposed methodology can detect lesion response with 100% accuracy with a tumor-to-background-ratio as low as 1.5, and it is not affected by the background brain glucose metabolism change. We also applied the method to FDG-PET patient images from a clinical trial to assess treatment effects of lapatinib, which demonstrated significant changes in metabolism corresponding to tumor regions.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Lei Qin, Armin Schwartzman, Keisha McCall, Nezamoddin N. Kachouie, Jeffrey T. Yap, "Method for detecting voxelwise changes in fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials," Journal of Medical Imaging 4(2), 024006 (1 June 2017). http://dx.doi.org/10.1117/1.JMI.4.2.024006 Submission: Received 30 December 2016; Accepted 10 May 2017
Submission: Received 30 December 2016; Accepted 10 May 2017
JOURNAL ARTICLE
17 PAGES


SHARE
KEYWORDS
Brain

Clinical trials

Neuroimaging

Tomography

Cancer

Mode conditioning cables

Tumors

Back to Top