Quantitative Estimation of Iron and Fat Content in Prostate Cancer by Multiparametric MRI and Its Application in Optimizing D'Amico Score

• Published in: Journal of magnetic resonance imaging Vol. 61; no. 5; pp. 2223 - 2233
• Main Authors: Zhao, Yunshu, Li, Guangzheng, Tian, Zhen, Zhu, Mengying, Han, Shuting, Jin, Minmin, Huang, Yuhua, Li, Yonggang
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2025; Wiley Subscription Services, Inc
• Subjects: Adipose Tissue - diagnostic imaging; Aged; Cell proliferation; Contrast Media; D'Amico score; Diffusion coefficient; fat fraction; Field strength; Humans; Iron; Iron - analysis; Lesions; Lipids; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Males; Medical imaging; Middle Aged; Multiparametric Magnetic Resonance Imaging - methods; multiparametric MRI; Neoplasm Recurrence, Local - diagnostic imaging; Prospective Studies; Prostate - diagnostic imaging; Prostate cancer; Prostatic Neoplasms - diagnostic imaging; Regression analysis; Risk assessment; ROC Curve; Statistical analysis; Statistical tests; Thickness; multiparametric MRI; prostate cancer; fat fraction; D'Amico score; T2

Background The risk of biochemical recurrence (BCR) in prostate cancer (PCa) is typically assessed using D'Amico score. However, iron and fat content in PCa are closely related to tumor cell proliferation and the risk of BCR may be estimated using multiparametric MRI (mpMRI). Purpose To noninva...