title: Quantitative analysis of diffusion-weighted magnetic resonance images: differentiation between prostate cancer and normal tissue based on a computer-aided diagnosis system.
abstract: Diffusion-weighted imaging (DWI) is considered to be one of the dominant modalities used in prostate cancer (PCa) detection and the assessment of lesion aggressiveness, especially for peripheral zone (PZ) PCa. Computer-aided diagnosis (CAD), which is capable of automatically extracting and evaluating image features, can integrate multiple parameters and improve the detection of PCa. In this study, 13 quantitative image features were extracted from DWI by CAD, and diagnostic efficacy was analyzed in both the PZ and transition zone (TZ). The results demonstrated that there was a significant difference (P&lt;0.05) between PCa and non-PCa for nine of the 13 features in the PZ and five of the 13 features in the TZ. Besides, the prediction outcome of CAD had a strong correlation with the DWI scores that were graded by experienced radiologists according to the Prostate Imaging-Reporting and Data System Version 2 (PI-RADS v2).
authors.affiliation: Department of Radiology, Peking University First Hospital, Beijing, 100034, China.
authors.forename: Ge
authors.initials: G
authors.lastname: Gao
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
authors.forename: Chengyan
authors.initials: C
authors.lastname: Wang
authors.affiliation: Department of Radiology, Peking University First Hospital, Beijing, 100034, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Department of Radiology, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
authors.forename: Juan
authors.initials: J
authors.lastname: Hu
authors.affiliation: Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
authors.forename: Xuedong
authors.initials: X
authors.lastname: Yang
authors.affiliation: Department of Radiology, Peking University First Hospital, Beijing, 100034, China.
authors.forename: He
authors.initials: H
authors.lastname: Wang
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China. zhangjue@vip.163.com.
authors.forename: Jue
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Radiology, Peking University First Hospital, Beijing, 100034, China. cjr.wangxiaoying@vip.163.com.
authors.forename: Xiaoying
authors.initials: X
authors.lastname: Wang
mesh_terms: D000368:Aged; D003937:Diagnosis, Differential; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D011467:Prostate / Q000000981:diagnostic imaging*; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity
keywords: DWI; computer-assisted; diagnosis; magnetic resonance imaging; prostate cancer; prostate imaging-reporting and data system (PI-RADS)