Abstract #3453

Data-driven analysis of cerebrovascular reactivity mapping with breath-hold challenges in brain tumor patients

Mu-Lan Jen¹, Mei-Yu Yeh^2,3, Henry S Chen⁴, Vinodh A Kumar⁵, and Ho-Ling Liu¹

¹Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, ³Medical Imaging, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan, ⁴Radiology, University of Colorado School of Medicine, Aurora, CO, United States, ⁵Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Synopsis

Keywords: fMRI Analysis, fMRI

Motivation: Cerebrovascular reactivity (CVR) mapping can provide valuable information for the evaluation of lesion and neurovascular uncoupling in brain tumors.

Goal(s): To evaluate the robustness of data-driven CVR analysis in patients with brain tumors.

Approach: CVR MRI of brain tumor patients (n=18) was performed with a breath-holding task paradigm. CVR map was obtained using GLM with four regressors for comparison: (1) gray matter (GM), (2) GM with lesion removed, (3) whole brain (WB), and (4) WB with lesion removed.

Results: Proper temporal and spatial filtering reduced the differences between the four regressors, resulting in similar CVR maps with highly correlated BOLD contrast.

Impact: The study demonstrated that with proper temporal processing, robust data-driven CVR analysis can be obtained in patients with brain tumors.

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