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Abstract #3992

Comparison of Different CEST Metrics for Brain Tumor Grading with Semi-Automatic ROIs

Ruibin Liu1, Xianlong Wang2, Zhibo Wen2, Tingting Liu1, Jinyuan Zhou3, Dan Wu1,3, and Yi Zhang1,3

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China, 3Department of Radiology, Johns Hopkins University, Baltimore, MD, United States

The performance of three CEST metrics including CESTR, CESTRnr, MTRRex at various frequency offsets was evaluated for human brain tumor grading. Regions of interest were created semi-automatically based on an initial radiologist-drawn contour and automatic histogram analysis in order to minimize subjective bias. Thirty-nine patients with 23 confirmed high-grade and 16 confirmed low-grade gliomas were included. CESTRnr metric at 3 ppm were superior to other frequency offsets for grading human brain gliomas, with the maximum area under the curve value of 0.88.

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