分子影像学杂志2026，Vol.49Issue(8)：1022-1029,8.DOI:10.12122/j.issn.1674-4500.2026.08.06
基于多模态超声特征构建的列线图模型可有效鉴别肿块型浆细胞性乳腺炎与浸润性导管癌
A nomogram model based on multimodal ultrasound features can effectively differentiate mass-type plasma cell mastitis from invasive ductal carcinoma
摘要
Abstract
Objective To investigate the diagnostic value of a combined model based on multimodal ultrasound features,including conventional ultrasound(US),ultramicroangiography(UMA),strain elastography(SE),and contrast-enhanced ultrasound(CEUS),for differentiating mass-type plasma cell mastitis(PCM)from invasive ductal carcinoma(IDC).Methods A retrospective analysis was performed on 231 patients,including 74 patients with mass-type PCM and 157 patients with IDC,pathologically confirmed at Inner Mongolia Autonomous Region People's Hospital from September 2024 to May 2026.All patients underwent US,UMA,SE,and CEUS examinations.Variables with P<0.05 in univariate analysis were entered into multivariate logistic regression analysis to identify independent predictors,and a combined model was constructed and presented as a nomogram.ROC curves were used to evaluate the diagnostic performance of the combined model,and the differences in AUCs between the combined model and individual modalities were compared using the DeLong test.Internal validation was performed using 1000 bootstrap resamples.Results Age,vertical orientation,posterior acoustic attenuation,calcifications,high stiffness on SE,increased vessel tortuosity(VT),shortened arrival time(AT),and increased ascending slope(AS)were identified as independent predictors of IDC(P<0.05).The combined model achieved an AUC of 0.946(95%CI:0.918～0.973),which was higher than those of US(0.811),SE(0.708),UMA(0.732),and CEUS(0.784)(DeLong test,P<0.001).At the optimal cutoff value,the sensitivity and specificity were 76.4%and 94.6%,respectively.The corrected AUC after bootstrap internal validation was 0.951.The calibration curve demonstrated good model fit(Hosmer-Lemeshow test,P=0.721).Conclusion The combined model based on multimodal ultrasound features significantly improves the diagnostic performance for differentiating mass-type PCM from IDC and provides quantitative support for noninvasive diagnosis and individualized clinical decision-making.关键词
多模态超声/浆细胞性乳腺炎/浸润性导管癌/预测模型/鉴别诊断Key words
multimodal ultrasound/plasma cell mastitis/invasive ductal carcinoma/predictive model/differential diagnosis引用本文复制引用
刘梦月,王芳..基于多模态超声特征构建的列线图模型可有效鉴别肿块型浆细胞性乳腺炎与浸润性导管癌[J].分子影像学杂志,2026,49(8):1022-1029,8.基金项目
内蒙古自治区科技计划项目(2020GG0086) （2020GG0086）
内蒙古自治区人民医院院内基金项目(201807) （201807）
