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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