MRI radiomic for differentiating benign and malignant lesions with prostate imaging reporting and data system(PI-RADS)3 points
10.13929/j.issn.1003-3289.2024.12.024
- VernacularTitle:MRI影像组学鉴别前列腺影像报告和数据系统(PI-RADS)3分良、恶性病变
- Author:
Peng TIAN
1
;
Jinfeng LI
1
;
Jing LI
1
;
Suihui CHEN
1
;
Xinjiang WANG
1
;
Xian XU
1
Author Information
1. 中国人民解放军总医院第二医学中心放射科,北京 100853
- Publication Type:Journal Article
- Keywords:
prostatic neoplasms;
magnetic resonance imaging;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2024;40(12):1920-1925
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of MRI radiomics for differentiating benign and malignant prostate lesions with prostate imaging reporting and data system(PI-RADS)3 points.Methods Data of 107 patients with PI-RADS scoring of 3 points lesions were retrospectively analyzed.The patients were randomly divided into training set and testing set at a 7∶3 ratio.Clinical factors related to prostate cancer(PCa)were screened with regression analysis,and lesions'radiomics features were extracted with the least absolute shrinkage and selection operator algorithm,and then clinical models,single sequence models,multiple sequence model and combined model(multiple sequence+clinical)were constructed,respectively.Then receiver operating characteristic curves were drawn,and the area under the curve(AUC)was calculated,the efficacy of each model for differentiating PI-RADS 3 points benign and malignant lesions were assessed,and their performance and clinical applicability were evaluated using the calibration curve and clinical decision curve.Results The total prostate-specific antigen(PSA)was the clinical factor related to PCa,based on which a clinical model was established.Four apparent diffusion coefficient(ADC)features,10 diffusion-weighted imaging(DWI)features and 14 T2WI features of lesions were used to construct single sequence models,while 2 ADC features,3 DWI features and 3 T2WI features of lesions were selected to construct multiple sequence model.AUC of the combined model for differentiating benign and malignant PI-RADS 3 points lesions in training and test sets was 0.940 and 0.906,respectively,indicating that the combined model had good predictive performance and clinical net benefit.Conclusion The combined model established based on multiple sequence radiomics features and total PSA was helpful to differentiating PI-RADS 3 points benign and malignant prostate lesions.
