Meeting Banner
Abstract #3135

Evaluation of diagnostic and prognostic value of high-resolution 3D 1H-MRSI for patients with newly diagnosed glioma

Bin Bo1, Tianyao Wang2, Ziyu Meng1, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Xin Yu5, Zhi-Pei Liang3,4, and Yao Li1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States


Conventional structural MRI has limited specificity in defining the extent and grade of glioma. MRSI complements MRI in tumor tissue characterization with neurometabolic fingerprints. In this study, we investigated the use of high-resolution 3D MRSI for glioma grading and evaluation of patient overall survival. Our results showed that the neurometabolic biomarkers could differentiate low-grade from high-grade gliomas and provide prognostic value for overall survival of newly diagnosed glioma patients.

This abstract and the presentation materials are available to members only; a login is required.

Join Here