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Abstract #2920

Voxel-based Analyses of SUVs and ADCs with a 18FDG-PET/MR System in Differentiating CNS Lymphomas from Glioblastomas

Daichi Momosaka1, Akio Hiwatashi2, Koji Sagiyama1, Osamu Togao1, Kazufumi Kikuchi1, Tomohiro Nakayama2, Keisuke Ishimatsu1, Ryotaro Kamei1, Shingo Baba1, and Hiroshi Honda1

1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

Using a hybrid PET/MR system that enables precise image co-registration of 18FDG-PET and DWI, we evaluate the utility of voxel-based analysis of SUVs and ADCs to differentiate CNS lymphomas from GBs. Fifteen GBs and five CNS lymphomas were enrolled. DWI and 18FDG-PET were acquired. Volume, SUVmax, ADCmin, correlation coefficient, elliptical 95% area of bivariate normal distribution of SUVs and ADCs and elliptical 95% area/volume were evaluated. Elliptical 95% area/volume in CNS lymphomas was higher than that of GBs and showed the best diagnostic performance. Voxel-based analysis of 18FDG-PET/MR may be useful to differentiate CNS lymphomas from GBs.

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