Radiomic signature based on bi-parametric MRI predicting International Society of Urological Pathology grading in prostate cancer
10.3969/j.issn.1002-1671.2023.12.019
- VernacularTitle:双参数MRI影像组学对前列腺癌国际泌尿病理协会分级的预测价值
- Author:
Yongsheng ZHANG
1
;
Yujie GE
;
Zhiping LI
;
Hua QU
;
Chen GAO
;
Feng CUI
;
Mingtao CHEN
;
Maosheng XU
Author Information
1. 浙江中医药大学附属杭州市中医院放射科,浙江 杭州 310007
- Keywords:
prostatic cancer;
magnetic resonance imaging;
radiomics;
International Society of Urological Pathology grading
- From:
Journal of Practical Radiology
2023;39(12):1995-2000
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the predictive value of preoperative bi-parametric MRI radiomics for the International Society of Urological Pathology(ISUP)grading of prostate cancer(PCa).Methods One hundred and sixty-five patients with PCa confirmed by pathology were analyzed retrospectively.According to the ISUP grading system,PCa patients were divided into five subgroups:G1 group(Gleason score=6),G2 group(Gleason score=3+4),G3 group(Gleason score=4+3),G4 group(Gleason score=8)and G5 group(Gleason score=9 or 10).A total of 3 948 radiomics features were extracted from T2WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC)images of each patient.Patients were classified into two categories based on Gleason score≥4+3 or ≤3+4.A radiomics signature(Rad-score)was constructed after reduction of dimension by the minimum redundancy maximum relevance(mRMR)and the least absolute shrinkage and selection operator(LASSO).The Spearman rank correlation test was used to evaluate the correlation between Rad-score and ISUP grading groups.The Kruskal-Wallis test was used to compare the difference of Rad-score among the five groups.Results Eleven most valuable features were selected as the Rad-score after reducing the dimension by mRMR and LASSO algorithm.Moderate correlation existed between Rad-score and ISUP grading(r=0.53,P＜0.05).There were significant differences in Rad-score between G1 and G2 groups and G3,G4 and G5 groups(P＜0.05),no significant difference existed between the remained two groups(P＞0.05).The area under the curve(AUC)of receiver operating characteristic(ROC)curve for Rad-score were 0.827,0.762,0.563,0.657,0.698 for G1,G2,G3,G4 and G5 groups,respectively.Conclusion The radiomics based on bi-parametric MRI can be used to predict grade 1,2 PCa patients in the ISUP grading system.
