武警医学2026，Vol.37Issue(2)：151-155,160,6.
联合双模态超声及双参数核磁影像组学技术构建对前列腺癌的预测模型
A predictive model for prostate cancer constructed by dual-modal ultrasound and bipara-metric MRI radiomics technology
摘要
Abstract
Objective To construct and validate a combined model for preoperative noninvasive prediction of prostate cancer(PCa)using radiomic features from dual-modal ultrasound(B-mode+shear wave elastography)and biparametric MRI(T2 WI+ADC).Methods A total of 232 patients with prostate mass lesions who visited the Aerospace Center Hospital from January 2023 to October 2025 were selected,including 127 cases of PCa and 105 cases of benign conditions.All patients underwent dual-modal ultrasound and biparametric MRI examinations.After manual delineation of the lesions,high-throughput radiomics features were extracted.Feature selection was per-formed using LASSO regression,and independent clinical risk factors(age,PSA density)were integrated.Four models were constructed and compared:a clinical model,an ultrasound radiomics model,an MRI radiomics model,and a combined model.The performance was evalua-ted via five-fold cross-validation.Results The combined model demonstrated the best diagnostic efficacy in the validation set,with an AUC of 0.92(95%CI:0.84-0.97),significantly higher than the AUCs of the clinical model(0.76),the ultrasound radiomics model(0.78),and the MRI radiomics model(0.85)(all P<0.05).Decision curve analysis confirmed its greater net clinical benefit across a wide threshold range.Conclusions The validated combined model integrating multimodal radiomics and clinical factors can significantly improve the accura-cy of preoperative noninvasive diagnosis of PCa,demonstrating robust performance and high clinical applicability.关键词
前列腺癌/影像组学/超声/核磁共振/机器学习/预测模型Key words
prostate cancer/radiomics/ultrasound/MRI/machine learning/predictive model分类
医药卫生引用本文复制引用
孙亚,柏冬,马雅辉,周南,王嘉俊,梁蕾..联合双模态超声及双参数核磁影像组学技术构建对前列腺癌的预测模型[J].武警医学,2026,37(2):151-155,160,6.基金项目
国家自然科学基金项目(62371010),北京市海淀区卫生健康发展科研培育计划(HP2024-32-507004) （62371010）
