基于超快速动态对比增强磁共振预测乳腺癌侵犯乳头乳晕复合体的研究OA

Objective:To explore the predictive value of ultrafast dynamic contrast-enhanced magnetic resonance imaging(UF DCE-MRI)in evaluating the invasion of nipple areola complex(NAC)in breast cancer patients.Methods:A retrospective analysis was conducted on the breast cancer patients examined by UF DCE-MRI in our hospital.The patient's clinical patho-logical information,imaging features and the dynamic parameters were analyzed between groups.Logistic regression was used to construct a prediction model for NAC invasion in breast cancer.The diagnostic efficacy of the model was evaluated using re-ceiver operating characteristic curves(ROC).Results:The maximum tumor diameter was significantly larger in the NAC-invaded group than in the non-invaded group(P<0.001).The rates of NAC early enhancement and axillary lymph node metastasis were significantly higher,while the rate of non-enhancement was significantly lower,in the NAC-invaded group compared to the non-invaded group(P<0.001).The Ktrans and Ve values in the invaded group were significantly lower than those in the non in-vaded group,and the kep and MS values in the invaded group were significantly higher than those in the non invaded group(P<0.05).Multivariate Logistic regression analysis showed that NAC enhancement pattern,Ktrans,kep and MS were independent pre-dictors of NAC invasion,the area under the ROC curve(AUC)was 0.89.The sensitivity and specificity were 82.91％and 81.82％,respectively the cut-off value was 0.58.Ktrans had the highest contribution(SHAP value=32.4％).Conclusion:The pre-dictive model for NAC invasion in breast cancer based on UF DCE-MRI has high diagnostic efficacy.