Application value of biparametric magnetic resonance imaging radiomics combined with PSAD in Gleason grade group of prostate carcinoma
10.3969/j.issn.1673-9701.2024.25.007
- VernacularTitle:双参数磁共振影像组学联合PSAD在前列腺癌Gleason分级分组中的应用价值
- Author:
Dabin REN
1
;
Yuguo WEI
;
Liqiu LIU
;
Zuliang XU
;
Guoyu WANG
Author Information
1. 台州市中心医院(台州学院附属医院)放射科,浙江台州 318000
- Keywords:
Biparametric magnetic resonance imaging;
Prostate-specific antigen density;
Radiomics;
Prediction model;
Gleason grade group
- From:
China Modern Doctor
2024;62(25):30-34,39
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the diagnostic value of biparametric magnetic resonance imaging(bpMRI)radiomics combined with prostate-specific antigen density(PSAD)in predicting low-grade and high-grade prostate carcinoma(PCa).Methods The clinical and imaging data of patients with PCa confirmed by pathology in Taizhou Central Hospital from June 2018 to October 2022 were retrospectively analyzed.According to Gleason grade group(GGG),GGG≤2 was defined as low-grade PCa,and GGG＞2 was defined as high-grade PCa.PCa patients with different grades were randomly divided into training group and test group according to a ratio of 7∶3.Radiomics features were extracted based on T2 weighted imaging(T2WI)and apparent diffusion coefficient(ADC)sequences.Feature selection and dimensionality reduction were carried out using maximum relevance minimum redundancy,least absolute shrinkage and selection operator,and 5-fold cross validation was performed to retain the best radiomics features.Receiver operating characteristic(ROC)curve and Delong's test were used to evaluate the performance of each model.Decision curve analysis(DCA)was used to evaluate the clinical utility of the model.Results Among all the models,T2WI-ADC-PSAD combined model had the best diagnostic efficiency,the area under the curve(AUC)in training group and test group were 0.882,0.772,respectively.Delong's test showed that in training group,there was no significant difference in AUC between T2WI-ADC-PSAD model and T2WI model(P＞0.05),but there were significant differences between T2WI-ADC-PSAD model and other models(P＜0.05).In test group there were no significant differences in AUC between T2WI-ADC-PSAD model and other models(P＞0.05).The DCA showed that the T2WI-ADC-PSAD model provided a higher net benefit for clinical decision-making when the threshold probability was less than 97％.Conclusion BpMRI radiomics combined with PSAD can improve the diagnostic efficiency of low-grade and high-grade PCa,and guide the treatment decision of patients.
