Abstract:Objective To investigate the predictive value of the multiparametric magnetic resonance imaging Kaiser scoring system, multimodal ultrasound, and their combination for axillary lymph node metastasis in breast cancer.Methods A total of 108 patients with pathologically confirmed breast cancer admitted to Qinhuangdao Municipal Hospital of Traditional Chinese Medicine from January 2022 to June 2025 were retrospectively enrolled. According to the presence or absence of axillary lymph node metastasis, the patients were divided into a metastasis group (n = 34) and a non-metastasis group (n = 74). All patients underwent multimodal ultrasound and multiparametric MRI examinations, and Kaiser scores were calculated based on the imaging findings. Clinical characteristics, multimodal ultrasound features, and Kaiser scores were compared between the two groups. Multivariate logistic regression analysis was used to identify risk factors for axillary lymph node metastasis. Receiver operating characteristic curves were plotted to evaluate the predictive value of the Kaiser scoring system, multimodal ultrasound, and their combination.Results There were no significant differences between the two groups in age, body mass index, menopausal status, histological classification, tumor location, estrogen receptor positivity, or progesterone receptor positivity (P > 0.05). The proportions of patients with a maximum tumor diameter > 20 mm, positive microcalcification, positive convergence sign, Adler blood flow grades Ⅱ-Ⅲ, and Kaiser score ≥ 6 were significantly higher in the metastasis group than in the non-metastasis group (P < 0.05). Multivariate logistic regression analysis showed that maximum tumor diameter > 20 mm [O^R = 6.084, 95% CI: 1.595, 23.204], positive microcalcification [O^R = 3.618, 95% CI: 1.175, 11.136], positive convergence sign [O^R = 3.347, 95% CI: 1.155, 9.701], and Kaiser score ≥ 6 [O^R = 8.562, 95% CI: 2.854, 25.687] were independent risk factors for axillary lymph node metastasis in patients with breast cancer (P < 0.05). The combined model yielded a sensitivity of 82.4% (95% CI: 0.655, 0.932) and a specificity of 81.1% (95% CI: 0.703, 0.893).Conclusion Maximum tumor diameter > 20 mm, positive microcalcification, positive convergence sign, and Kaiser score ≥ 6 are independent imaging indicators for predicting axillary lymph node metastasis in breast cancer. The combined application of multimodal ultrasound and the Kaiser scoring system improves predictive performance and is superior to either method alone, providing an effective noninvasive strategy for accurate preoperative evaluation.