Abstract #1699

Differential diagnosis of primary CNS lymphoma and glioblastoma using statistics derived from commercial software

Tatsuya Yamamoto¹, Kuniyoshi Hayashi², and Hirohiko Kimura³

¹Department of Diagnostic Radiology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan, ²Division of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke’s International University, Tokyo, Japan, ³Department of Radiology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan

Primary central nervous system lymphomas (PCNSLs) are sometimes difficult to distinguish from glioblastomas (GBMs) based on routine magnetic resonance examination. This study assessed the utility of histogram analysis of intratumoral contrast-enhanced region using contrast-enhanced T1WI (CET1WI) with a 3D-spoiled gradient recalled acquisition in the steady state sequence for PCNSLs and GBMs to determine whether histogram statistics differed between the two tumors using the commercial software. There were significant differences in skewness, entropy, and angular second moment between PCNSLs and GBMs. This suggests the possibility of the differential diagnosis of PCNSLs and GBMs using histogram analysis of CET1WI.

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