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Abstract #1099

Improved Differentiation of Low- and High-Grade Gliomas by APT Contrast Fitted from Z-Spectrum

Jiaxuan Zhang1,2, Rongwen Tain1,3, Xiaohong Joe Zhou1,4, Wenzhen Zhu2, and Kejia Cai1,5

1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, People's Republic of China, 3Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 4Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Departments of Radiology and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

Preoperative grading is important for treatment planning in glioma patients. Amide proton transfer (APT) -weighted imaging is helpful in grading since it reflects metabolic changes associated with mobile proteins and peptides. However, the conventional APT based on asymmetrical analysis receives contaminations from semi-solid magnetization transfer asymmetry and nuclear overhauser enhancement effects. Multi-component Z-spectral fitting for the separated quantification of APT can help to remove those contaminations. In this study, we performed such fitting on Z-spectral data from glioma patients. We found that fitted APT provided higher power in differentiating low- and high- grade gliomas compared to the conventional APT quantification.

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