Abstract #2639

Multifarious Kinetic Analysis for Differentiation of Prostate Cancer & Benign Prostatic Hyperplasia in DCE-MRI

Sang Ho Lee¹, Jong Hyo Kim^1,2, Jeong Yeon Cho^2,3, Sang Youn Kim^2,3, in Chan Song³, Hyeon Jin Kim³, Seung Hyup Kim²,³

¹Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul, Korea, Republic of; ²Department of Radiology, Seoul National University College of Medicine, Seoul, Korea, Republic of; ³Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of

DCE-MRI plays an essential role for cancer detection and characterization. The significant tissue parameters for lesion classification may take the form of synergistic subsets in the combinatorial space of multifarious kinetic features. In this study, we postulate that extending the individual analysis schemes of contrast enhancement kinetics to a hybrid analysis scheme and that selecting a meaningful feature subset from a combined feature pool may allow an improved performance for lesion classification. Based on this postulation, we presented a novel approach to prostate MRI computer-aided diagnosis (CAD) using multifarious kinetic parameters in DCE-MR images.