作者
Gu‐mu‐yang Zhang, Yu‐qi Han, Jing‐wei Wei, Ya‐fei Qi, Dong‐sheng Gu, Jing Lei, Wei‐gang Yan, Yu Xiao, Hua‐dan Xue, Feng Feng, Hao Sun, Zheng‐yu Jin, Jie Tian
发表日期
2020/10
期刊
Journal of Magnetic Resonance Imaging
卷号
52
期号
4
页码范围
1239-1248
出版商
John Wiley & Sons, Inc.
简介
Background
Biopsy Gleason score (GS) is crucial for prostate cancer (PCa) treatment decision‐making. Upgrading in GS from biopsy to radical prostatectomy (RP) puts a proportion of patients at risk of undertreatment.
Purpose
To develop and validate a radiomics model based on multiparametric magnetic resonance imaging (mp‐MRI) to predict PCa upgrading.
Study Type
Retrospective, radiomics.
Population
A total of 166 RP‐confirmed PCa patients (training cohort, n = 116; validation cohort, n = 50) were included.
Field Strength/Sequence
3.0T/T2‐weighted (T2W), apparent diffusion coefficient (ADC), and dynamic contrast enhancement (DCE) sequences.
Assessment
PI‐RADSv2 score for each tumor was recorded. Radiomic features were extracted from T2W, ADC, and DCE sequences and Mutual Information Maximization criterion was used to identify the optimal features on each sequence. Multivariate …
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G Zhang, Y Han, J Wei, Y Qi, D Gu, J Lei, W Yan… - Journal of Magnetic Resonance Imaging, 2020