Biparameter MRI stepwise discriminant model for detecting clinically significant prostate cancer in transitional zone
10.13929/j.issn.1003-3289.2024.12.018
- VernacularTitle:双参数MRI逐步判别模型用于检出临床有意义前列腺移行带癌
- Author:
Shuanglin ZHANG
1
;
Fangming CHEN
1
;
Qian GAO
1
Author Information
1. 江南大学附属中心医院影像科,江苏无锡 214002
- Publication Type:Journal Article
- Keywords:
prostatic neoplasms;
magnetic resonance imaging;
diagnosis,differential
- From:
Chinese Journal of Medical Imaging Technology
2024;40(12):1889-1893
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish biparameter MRI stepwiese discriminant models based on T2WI and diffusion-weighted imaging(DWI),and to observe their value for detecting clinically significant prostate cancer(CSPCa)in transitional zone.Methods Totally 224 patients with pathologically confirmed prostatic transitional zone lesions were retrospectively collected and divided into CSPCa group(n=81)and non-CSPCa group(n=143)according to pathological results and Gleason scores.Single factor and stepwise discriminant analysis were used to analyze T2WI and DWI manifestations of lesions in both groups,so as to screen the independent impact factors for distinguishing CSPCa from non-CSPCa.Discriminant functions models for CSPCa and non-CSPCa were established,respectively,and the diagnostic efficiency of models were verified using cross-verification method,while correct discriminant rate≥80％was considered as having differential diagnostic value.Results The maximum diameter,boundary,DWI signal of lesions,prostate capsule being complete or not,as well as the minimum apparent diffusion coefficient were all independent impact factors for distinguishing CSPCa from non-CSPCa,and the discriminant function models for CSPCa and non-CSPCa were established based on the above factors,respectively,with correct discrimination rates of discriminant function model for CSPCa and non-CSPCa of 90.11％and 88.81％,respectively,and the overall correct discrimination rate of 89.31％.Conclusion Biparameter MRI stepwise discriminant models could be used to detect CSPCa in transitional zone.
