The value of ultrasonic parameters combined with clinicopathological parameters in predicting axillary lymph node metastasis in triple-negative breast cancer
1Department of Ultrasound, Xuzhou City Hospital of Traditional Chinese Medicine, 221000 Xuzhou, Jiangsu, China
2Department of Ultrasound, Xuzhou Cancer Hospital, 221000 Xuzhou, Jiangsu, China
3Department of Ultrasound, Xuzhou Medical University Affiliated Hospital, 221000 Xuzhou, Jiangsu, China
4Department of Pathology, Xuzhou City Hospital of Traditional Chinese Medicine, 221000 Xuzhou, Jiangsu, China
DOI: 10.22514/ejgo.2023.084 Vol.44,Issue 5,October 2023 pp.104-109
Submitted: 08 June 2023 Accepted: 04 August 2023
Published: 15 October 2023
The clinical data of 119 patients with triple-negative breast cancer (TNBC) were retrospectively analyzed, and comparisons revealed that the differences between those who developed axillary lymph node metastasis and those who did not were statistically significant when comparing the age, histological grading of the lesions, expression of Ki-67, and information about the morphology of the lesions, internal blood flow, and the ultrasonographic manifestations of axillary lymph nodes on ultrasonography of the distribution of the lesions in the lesions’ quadrants (p < 0.05). Multifactorial regression analysis suggested that age, histological grade, lesion quadrant, and axillary lymph node ultrasound performance were all relevant factors affecting axillary lymph node metastasis in TNBC patients; the predictive model of axillary lymph node metastasis in TNBC was constructed with the results of multifactorial regression analysis, and the results of the ROC curve analysis showed that the logistic regression model had an AUC of 0.761 and the sensitivity and specificity were 0.824 and 0.714, respectively, for predicting the metastasis of the axillary lymph nodes in TNBC patients. This suggests that ultrasound combined with pathological parameters has some value in helping clinical judgment of axillary lymph node metastasis in TNBC patients.
Triple-negative breast cancer; Ultrasound; Pathological parameters; Predictive value
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