Construction and Evaluation of Predictive Model for Axillary Lymph Node Metastasis of Breast Cancer Based on Multimodal Ultrasound Parameters and Clinicopathological Features
Objective:To explore the predictive value of nomogram(Nomogram)prediction model based on multimodal ultra-sound parameters and clinicopathological features for axillary lymph node metastasis(ALNM)of breast cancer(BC).Methods:251 BC patients were divided into ALNM group(102 cases)and Non-ALNM group(149 cases)according to whether ALNM occurred in BC pa-tients.The multimodal ultrasound parameters and clinicopathological features were compared in two groups.The influencing factors of ALNM in BC patients were analyzed by multivariate Logistic regression,and the Nomogram prediction model was constructed.Results:The lymph node short diameter,lymph node cortical thickness,lymph node short diameter/long diameter,elastic strain rate ratio(SR),maximum elastic modulus(Emax),minimum elastic modulus(Emin),mean elastic modulus(Emean),standard deviation(SD),color Doppler flow imaging(CDFI)blood flow classification Ⅲ/Ⅳ type ratio of lymph nodes,lymphatic vascular invasion proportion,invasive carcinoma proportion and histological grade Ⅲ proportion in ALNM group were higher than those in Non-ALNM group(P＜0.05).Com-bined with CDFI blood flow classification Ⅲ/Ⅳ type,lymphatic vascular invasion,histological grade Ⅲ,higher lymph node short diame-ter/long diameter,SR and Emax were risk factors for ALNM in BC patients(P＜0.05).The prediction curve of the Nomogram prediction model was in good agreement with the ideal curve,and the consistency index was 0.897.Conclusion:The Nomogram model based on multimodal ultrasound parameters and clinicopathological features has a high value in predicting the risk of ALNM in BC patients.
Breast cancerAxillary lymph node metastasisMultimodal ultrasound parametersPathological featuresNomogram prediction model
NETL
NSTL
万方数据
