Abstract #1594

Diffusion-weighted MR imaging using a gamma distribution model for prediction of insignificant prostate cancer

Hiroko Tomita¹, Hiroshi Shinmoto¹, Shigeyoshi Soga¹, Kentaro Yamada¹, Tatsumi Kaji¹, Tomohiko Asano², and Koichi Oshio³

¹Radiology, National Defense Medical College, Saitama, Japan, ²Urology, National Defense Medical College, Saitama, Japan, ³Diagnostic Radiology, Keio University, School of Medicine, Tokyo, Japan

The purpose of this study was to investigate whether the parameters obtained from diffusion-weighted imaging using a gamma model could distinguish a Gleason 6 from a Gleason≥7 disease, and help to improve the prediction of insignificant prostate cancer in active surveillance candidates. Fifty-nine patients who underwent radical prostatectomy were included in this study. ROC analyses for predicting adverse pathologic outcomes in active surveillance candidates showed that the AUC of the parameters of the gamma model were from 0.81 to 0.88. DWI using the gamma model might help to improve the prediction of insignificant prostate cancer in active surveillance candidates.

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