This study aims to evaluate whether longitudinal multimodal ultrasound can accurately predict axillary pathological response in breast cancer patients who receive neoadjuvant chemotherapy. In this study, patients with biopsy-proven metastatic axillary lymph nodes will have a metallic clip placed in the positive node before chemotherapy. During and after treatment, the clipped lymph node will be monitored by ultrasound, including gray-scale imaging, shear wave elastography, and contrast-enhanced ultrasound. The changes in the morphological and functional features of the clipped node will be analyzed to establish a predictive model for axillary pathological complete response. The results are expected to help identify patients who may safely avoid unnecessary axillary lymph node dissection and improve individualized surgical decision-making.
Study Type
OBSERVATIONAL
Enrollment
150
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China
Diagnostic performance of predictive model for axillary pathological complete response (ax-pCR)
Area under the ROC curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the multimodal ultrasound-based predictive model for ax-pCR.
Time frame: At the time of postoperative pathological assessment (usually within 1 week after surgery)
Diagnostic performance of predictive model for axillary pathological complete response (ax-pCR)
Area under the ROC curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the multimodal ultrasound-based predictive model for ax-pCR.
Time frame: At the time of postoperative pathological assessment (usually within 1 week after surgery).
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