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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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