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Abstract #4562

Radiomics Analysis of Apparent Diffusion Coefficient Maps with Various b-value Combinations for Differentiation of Prostate CancerĀ 

Eo-Jin Hwang 1 and Moon Hyung Choi2
1Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea, 2Eunpyeong St.Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

Prostate Imaging-Reporting and Data System (PI-RADS) suggests acquiring multiple apparent diffusion coefficient (ADC) maps including the lowest b-values between 50-100s/mm2 and highest b-values greater than 1400s/mm2. Radiomics is a novel field in medical imaging to advance decision support by utilizing large amount of quantitative features. In this study, we employed radiomics from ADC maps and a linear regression model to differentiate prostate cancer from benign tissues and evaluated the effect of various b-value combinations on ADC maps. We discovered that ADC with the b-values of 100 and 1000s/mm2 was most effective in discriminating prostate cancer with high accuracy.

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