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Updated: Jul 17, 2025

Ultrasonographic Evaluation of Breast Cancer-related Lymphedema
Published on: January 12, 2017
Effect, sensitivity, specificity and accuracy of ultrasonic assessment of axillary lymph node-negative breast cancer
Chun-Tian Hong1, Yong-Hao Yan2, Li-Yang Su3
1Chun-Tian Hong Department of Ultrasound, Quanzhou First Hospital Affiliated to Fujian Medical University, Fujian 362000, Quanzhou, P.R. China.
Objective:
To investigate the diagnostic value of ultrasound for patients with axillary lymph node-negative breast cancer (ALNNBC).
Methods:
A retrospective analysis was performed on the clinical data of 204 breast cancer patients who were admitted by Quanzhou First Hospital Affiliated to Fujian Medical University between October 2020 and May 2022. According to the results of axillary lymph node (ALN) examination, the patients were assigned to a positive group(n=102) and a negative group(n=102). All patients underwent diagnosis with color Doppler ultrasound, with pathological diagnosis as the "gold standard" to determine the sensitivity and specificity of ultrasonic diagnosis. A receiver operating characteristic(ROC) curve was established to analyze the efficiency of ultrasonic diagnosis and compare the ultrasonographic features and flow grades between the two groups.
Results:
Differences were statistically significant between the two groups in ultrasonographic features of lesions(negative vs positive, all p<0.05), including morphological irregularity(59.8% vs 85.3%), spiky margins(19.6% vs 63.7%), posterior echo attenuation(19.6% vs 44.1%) and microcalcification(40.2% vs 55.89%). The negative group had a lower proportion of patients with grade 2-3 ultrasound blood flow when compared with the positive group(32.4% vs 56.86%), and the difference was statistically significant(p<0.05). Ultrasonic diagnosis of ALNNBC had a sensitivity of 88.24%(90/102), a specificity of 92.16%(94/102), a coincidence rate of 90.20% (184/204), a 95% CI of 0.845-0.928, and an AUC of 0.879.
Conclusions:
Ultrasonic diagnosis of ALNNBC is relatively efficient as ultrasonographic features and ultrasound blood flow signals can provide a scientific basis for the diagnosis of ALNNBC.
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