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Abstract #0283

A Comprehensive, Adaptive Approach for Shutter-Speed DCE-MRI Analyses of Heterogeneous Brain Tumor Data

Ruiliang Bai1, Bao Wang2, Yinhang Jia1, Zhaoqing Li3, Yi-Cheng Hsu4, Charles S. Springer Jr.5, and Yingchao Liu6
1Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China, 2Department of Radiology, Shandong University Qilu Hospital, Jinan, China, 3College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 4MR Collaboration, Siemens Healthcare, Shanghai, China, 5Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 6Department of Neurosurgery, Provincial Hospital Affiliated to Shandong University, Jinan, China

The [Shutter-Speed-Model-Dynamic-Contrast-Enhanced] SSM-DCE-MRI pharmacokinetic analysis has a metabolic dimension. However, SSM must be applied thoughtfully, especially in Glioblastoma multiforme [GBM], because of strong tissue vascular heterogeneity across the brain field-of-view Here, we present a method to select the appropriate SSM-DCE-MRI version to analyze such tissue, on a pixel-by-pixel basis. The supra-intensive parameters, vascular water efflux (kbo), cellular water efflux (kio), and vascular CA efflux (kpe) rate constants could be reliably determined. Pilot data on one recurrent and one pre-diagnosis GBM patient are presented to demonstrate method performance.

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