Value of Ultrasonographic Features Combined With Immunohistochemistry in Predicting Axillary Lymph Node Metastasis in Middle-Aged Women With Breast Cancer.
10.3881/j.issn.1000-503X.16344
- Author:
Qian-Kun CHANG
1
;
Wen-Ying WU
1
;
Chun-Qiang BAI
1
;
Zhi-Chao DING
2
;
Wei-Fang WANG
3
;
Ming-Han LIU
4
Author Information
1. Department of Ultrasound,South Campus of Affiliated Hospital of Chengde Medical University,Chengde,Hebei 067030,China.
2. Department of Radiology,,Chengde Central Hospital,Chengde,Hebei 067024,China.
3. Department of Ultrasound,Chengde Central Hospital,Chengde,Hebei 067024,China.
4. Department of Functional Examination,Chengde Hospital of Traditional Chinese Medicine,Chengde,Hebei 067032,China.
- Publication Type:Journal Article
- Keywords:
breast cancer;
immunohistochemistry;
lymph node metastasis;
ultrasonographic features
- MeSH:
Humans;
Female;
Breast Neoplasms/diagnostic imaging*;
Middle Aged;
Lymphatic Metastasis/diagnostic imaging*;
Axilla;
Retrospective Studies;
Nomograms;
Ultrasonography;
Immunohistochemistry;
Lymph Nodes/diagnostic imaging*;
Risk Factors;
Ki-67 Antigen
- From:
Acta Academiae Medicinae Sinicae
2025;47(4):550-556
- CountryChina
- Language:English
-
Abstract:
Objective To investigate the value of ultrasonographic features combined with immunohistochemistry in predicting axillary lymph node metastasis in middle-aged women with breast cancer.Methods A retrospective analysis was conducted on 827 middle-aged female breast cancer patients who underwent surgical treatment at the Affiliated Hospital of Chengde Medical University from June 2017 to June 2023.Ultrasonographic and immunohistochemical information was collected,and the patients were randomly allocated into a training set(579 patients)and a validation set(248 patients).Univariate and multivariate Logistic regression analyses were performed to identify ultrasonographic and immunohistochemical risk factors associated with axillary lymph node metastasis in these patients,and a nomogram model was developed.Receiver operating characteristic curves and calibration curves were established to evaluate the performance of the nomogram model,and clinical decision curves were built to assess the clinical value of the model.Results The maximum diameter,morphology,boundary,calcification,and expression of human epidermal growth facor receptor 2 and Ki-67 in breast cancer lesions were identified as risk factors for predicting axillary lymph node metastasis in middle-aged women.The areas under the curve of the nomogram model on the training and validation sets were 0.747(0.707-0.787)and 0.714(0.647-0.780),respectively.Calibration curves and clinical decision curves indicated good consistency and performance of the model.Conclusion The nomogram model constructed based on ultrasonographic features and immunohistochemistry of the primary breast cancer lesion demonstrates high value in predicting axillary lymph node metastasis in middle-aged women with breast cancer.
