BMC medical imaging · 2026
Nomogram prediction model for pathological complete response of metastatic axillary lymph nodes of breast cancer after neoadjuvant chemotherapy.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Chen Yinting, Song Ge, Xu Xiaohong, Yang Yuping
Аннотация
OBJECTIVE: To evaluate the predictive value of a nomogram model combining ultrasound features and clinical indicators for pathological complete response (pCR) of metastatic axillary lymph nodes in breast cancer after neoadjuvant chemotherapy (NACT).
METHODS: A total of 109 women with histologically confirmed breast cancer and axillary lymph node metastasis were retrospectively analyzed. Patients were divided into pCR and non-pCR groups after NACT. A nomogram model was established using univariate and multivariate logistic regression analyses. The predictive performance of the clinical model, ultrasound model, and combined model was compared using the area under the curve (AUC).
RESULTS: Molecular subtype, clinical stage, pre-NACT metastatic axillary lymph node subtype, post-NACT reduction rate of lymph node short diameter, and post-NACT reduction rate of primary tumor maximum diameter were independent predictors of axillary lymph node pCR. The combined model (AUC 0.844, 95%CI: 0.773-0.915, P < 0.05) showed significantly improved predictive ability compared with the clinical model (AUC 0.725, 95%CI: 0.628-0.823, P < 0.05) and ultrasound model (AUC 0.754, 95%CI: 0.665-0.844, P < 0.05).
CONCLUSION: The nomogram combining ultrasound and clinical indicators effectively predicts pCR of metastatic axillary lymph nodes after NACT and provides a reference for surgical selection. However, the single‑center design, small sample size, and lack of external and prospective validation limit its generalizability. Multi‑center prospective validation is warranted.
METHODS: A total of 109 women with histologically confirmed breast cancer and axillary lymph node metastasis were retrospectively analyzed. Patients were divided into pCR and non-pCR groups after NACT. A nomogram model was established using univariate and multivariate logistic regression analyses. The predictive performance of the clinical model, ultrasound model, and combined model was compared using the area under the curve (AUC).
RESULTS: Molecular subtype, clinical stage, pre-NACT metastatic axillary lymph node subtype, post-NACT reduction rate of lymph node short diameter, and post-NACT reduction rate of primary tumor maximum diameter were independent predictors of axillary lymph node pCR. The combined model (AUC 0.844, 95%CI: 0.773-0.915, P < 0.05) showed significantly improved predictive ability compared with the clinical model (AUC 0.725, 95%CI: 0.628-0.823, P < 0.05) and ultrasound model (AUC 0.754, 95%CI: 0.665-0.844, P < 0.05).
CONCLUSION: The nomogram combining ultrasound and clinical indicators effectively predicts pCR of metastatic axillary lymph nodes after NACT and provides a reference for surgical selection. However, the single‑center design, small sample size, and lack of external and prospective validation limit its generalizability. Multi‑center prospective validation is warranted.