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 (k_bo), cellular water efflux (k_io), and vascular CA efflux (k_pe) 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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