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Abstract #0405

Differentiation between Glioblastomas and Cerebral Metastases using High-Resolution 3D MRSI

Pengcheng Yu1, Tianyao Wang2, Yujie Hu1, Yudu Li3,4, Rong Guo3,4, Yibo Zhao3,4, Ziyu Meng1,3, Hong Zhu5, Jun Liu6, Xin Yu7, Zhi-Pei Liang3,4, and Yao Li1
1Institute for Medical Imaging Technology, School 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 Radiation Oncology, Minhang Branch of Cancer Hospital, Fudan University, Shanghai, China, 6Radiology department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 7Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Differentiation between glioblastomas (GBMs) and cerebral metastases based on MR structural images is often challenging due to the poor specificity. MRSI is a useful tool for mapping the metabolic fingerprints of tumors. In this study, we investigate the use of a high-resolution MRSI technique known as SPICE for differentiation between GBMs and cerebral metastases in 28 patients. Our results show the metabolic biomarkers are different between GBMs and metastases as well as in the enhancing ring and the core of neoplasms. SPICE potentially provides a non-invasive metabolic measure to differentiate GBMs from cerebral metastases with high resolution.

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