摘要
Abstract
Objective To explore the predictors of histopathological grade in breast invasive ductal carcinoma(BIDC)and construct a histopathological grade prediction model based on contrast-enhanced ultrasound indices in the non-parenchymatous area of the tumor.Methods A total of 161 breast cancer patients with 193 tumors who underwent surgical treatment in Tongchuan People's Hospital(South Hospital)from January 2019 to January 2024 were retrospectively included.They were divided into three groups according to postoperative histopathological grade:Grade Ⅰ(n=46),Grade Ⅱ(n=58),and Grade Ⅲ(n=89).Predictors were screened via univariate and ordinal logistic multivariate regression analyses,and the predictive performance was evaluated using receiver operating characteristic(ROC)curves.Results Univariate analysis showed that the gradient value of peak time,gradient value of peak intensity,and gradient value of area under the curve(AUC)of contrast-enhanced ultrasound in the non-parenchymatous area of the tumor were correlated with histopathological grade(P<0.05).Multivariate analysis further confirmed that these three indices were all independent predictors of histopathological grade in BIDC(P<0.05).ROC curves were constructed based on the independent influencing factors of the logistic regression model and the predicted probability derived from the model's P-value.The results showed that the AUC values of the gradient value of peak time,gradient value of peak intensity,gradient value of AUC,and the predicted probability of the model's P-value were 0.962,0.685,0.882,and 0.985,respectively.Among them,the predicted probability of the model's P-value exhibited the optimal sensitivity(95.96%),Youden's index(92.00%).Conclusion The gradient value of peak time,gradient value of peak intensity,and gradient value of AUC of contrast-enhanced ultrasound in the non-parenchymatous area of the tumor can be used to predict the histopathological grade of BIDC.The prediction model constructed based on these three indices exhibits excellent performance,providing an important basis for the clinical non-invasive evaluation of the invasion degree of this cancer and the formulation of diagnosis and treatment plans.关键词
乳腺癌/乳腺浸润性导管癌/病理组织学分级/超声造影/肿物非实质化区域/预测模型Key words
breast cancer/breast invasive ductal carcinoma/histopathological grading/contrast-enhanced ultrasound/non-parenchymatous area of the tumor/prediction model分类
医药卫生
