Development and validation of a nomogram prediction model for clinically significant prostate cancer combined with PI-RADS V2.1, MRI quantitative parameters and clinical indicators: a two-center study

Development and validation of a nomogram prediction model for clinically significant prostate cancer combined with PI-RADS V2.1, MRI quantitative parameters and clinical indicators: a two-center study

ObjectiveTo develop and validate a multi-index nomogram prediction model for clinically significant prostate cancer(CSPCa) by combining the PI-RADS V2.1, quantitative magnetic resonance imaging (MRI) parameters and clinical indicators.MethodsA total of 1740 patients (75% in the derivation cohort and...

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Main Authors: Yunhui Chen, Long Yan, Jiang Xianmei, Gu Heyi, Xie Wei, Peng Chao, Dong Yanwen, Dong Shicun, Gao Chao, Yu Cui, Gu Peng, Liu Xiaodong, Tuo xiaoyu, Ling Bingbing, Ji Wenqing, Gao Kexian, Li Qingqing, Zheng Linglin, Zhu Yun, Zhao Lei, Hu Jihong, Zhao Wei, Yang Yaying, Hu Juan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
clinically significant prostate cancer
PI-RADS V2.1
apparent diffusion coefficient
prediction models
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1467793/full
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https://www.frontiersin.org/articles/10.3389/fonc.2024.1467793/full

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