Abstract #3676

Diffusion MRI based on a gamma distribution model for the differentiation of primary central nervous system lymphomas and glioblastomas

Osamu Togao¹, Akio Hiwatashi², Toru Chikui³, Kazufumi Kikuchi², Yukiko Kami³, Kenji Tokumori⁴, and Kousei Ishigami²

¹Molecular Imaging & Diagnosis, Kyushu University, Fukuoka, Japan, ²Clinical Radiology, Kyushu University, Fukuoka, Japan, ³Oral and Maxillofacial Radiology, Kyushu University, Fukuoka, Japan, ⁴Clinical Radiology, Teikyo University, Omuta, Japan

The aim of the present study was to determine whether the gamma distribution (GD) model is useful in the differentiation of glioblastomas (GBs) and primary CNS lymphomas (PCNSLs). The GD model well described the histological features of PCNSLs and GBs, and its use enabled the significant differentiation of these tumors. The κ, f2, and f3 values were significantly smaller and the f1 values were significantly larger in the PCNSLs than in the GBs. The GD model-derived parameters correlated well with the IVIM-derived parameters. The GD model may therefore contribute to the characterization of brain tumor from the histological viewpoint.

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