Biparametric MRI radiomics for predicting postoperation Gleason score upgrade of prostate cancer
10.13929/j.issn.1672-8475.2025.01.011
- VernacularTitle:双参数MRI影像组学预测前列腺癌根治性切除术后Gleason评分升级
- Author:
Jianing MA
1
;
Chenhan HU
1
;
Xiaomeng QIAO
1
;
Jie BAO
1
;
Chunhong HU
1
;
Zeyu ZHAO
1
;
Ximing WANG
1
Author Information
1. 苏州大学附属第一医院放射科,江苏 苏州 215006
- Publication Type:Journal Article
- Keywords:
prostatic neoplasms;
magnetic resonance imaging;
radiomics;
Gleason score
- From:
Chinese Journal of Interventional Imaging and Therapy
2025;22(1):47-51
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the value of biparametric MRI(bpMRI)radiomics for predicting postoperation Gleason score(GS)upgrade of prostate cancer(PCa).Methods Totally 344 PCa patients who underwent radical prostatectomy(RP)were retrospectively enrolled and divided into training set(n=241)and test set(n=103)at a ratio of 7∶3.T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)map radiomics signatures were constructed based on preoperative bpMRI,respectively,then logistic regression(LR)algorithm was used to establish bpMRI radiomics model.Univariate and multivariate logistic regression analyses were performed to screen independent risk factors for postoperation GS upgrade of PCa,and a clinical model was constructed.Then a clinical-radiomics combined model was established based on clinical model and bpMRI radiomics model.Receiver operating characteristic curves were drawn,the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting postoperation GS upgrade of PCa.Results Elevated preoperative prostate imaging reporting and data system(PI-RADS)score and reduced biopsy Gleason grade group(GG)were both independent risk factors of postoperation GS upgrade of PCa(both P＜0.05).The AUC of bpMRI radiomics model and clinical-radiomics combined model for predicting postoperation GS upgrade of PCa were higher than that of single-sequence radiomics signatures and clinical model(all P＜0.05),while no significant difference was found between the former two(P＞0.05).The clinical-radiomics combined model demonstrated good efficacy for predicting postoperation GS upgrade of PCa with different biopsy GG before operation,with AUC ranging from 0.835 to 0.949 in training set and 0.803 to 0.948 in test set.Conclusion bpMRI radiomics model could effectively predict postoperation GS upgrade of PCa.
