Intratumoral and peritumoral ultrasound radiomics models in predicting lymphovascular invasion of breast cancer
Objective To explore the predictive value of intratumoral and peritumoral ultrasound radiomics models for lymphovascular invasion(LVI)of breast cancer.Methods A total of 553 patients with breast cancer confirmed by pathology from April 2018 to March 2024 in Lishui Central Hospital were enrolled,and all patients received routine ultrasound examination before surgery.Patients were randomly divided into a training set(387 cases)and a validation set(166 cases)at a ratio of 7∶3.The largest layer of the lesion on the two-dimensional ultrasound image was selected to outline the region of interest,which was automatically expanded outward by 5 mm;the radiomics features of the intratumoral,peritumoral,and intratumoral+peritumoral regions were extracted,respectively.The Mann-Whitney test and the least absolute shrinkage and selection algorithm were used to screen radiomics features.The support vector machine algorithm was used to construct intratumoral,peritumoral and intratumoral+peritumoral models,respectively.Univariate and multivariate logistic regression were used to screen clinical risk factors of LVI of breast cancer.Subsequently,a nomogram model was constructed by combining radiomics features and clinical factors.The predictive performance of the models for LVI status of breast cancer was evaluated through receiver operating characteristic(ROC)curve analysis,and the area under the curve(AUC),sensitivity,specificity,and accuracy were calculated.Results Among the clinical characteristics,menstrual status,posterior echo,and ultrasound-reported lymph node status were risk factors of LVI in breast cancer.In both the training set and validation set,the intratumoral+peritumoral radiomics model for predicting LVI of breast cancer showed the highest value,with AUCs of 0.875 and 0.823 respectively.The nomogram model of radiomics model combined with clinical risk factors had AUC,sensitivity,specificity,and accuracy of 0.901,0.836,0.858,and 0.850 in the training set,and 0.847,0.776,0.843,and 0.819 in the validation set,respectively.Conclusion The intratumoral and peritumoral ultrasound radiomics features have a high predictive performance for LVI of breast cancer.The nomogram model established in combination with clinical factors can further improve the diagnostic performance and help guide clinical decision-making.
万方数据
维普
