Abstract #0405

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

Pengcheng Yu¹, Tianyao Wang², Yujie Hu¹, Yudu Li^3,4, Rong Guo^3,4, Yibo Zhao^3,4, Ziyu Meng^1,3, Hong Zhu⁵, Jun Liu⁶, Xin Yu⁷, Zhi-Pei Liang^3,4, 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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