Evidence map›Paper›PMID 41522037›Full record

ArticleQuantitative imaging in medicine and surgery2026

Correlations of ultrasound features and immunohistochemical indicators with axillary lymph node metastasis in invasive breast cancer.

Lian Cheng, Mei-Ting Zhang, Jing Jin, Han-Qin Liu, Yan Yang

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Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Lian Cheng *Department of Ultrasound, Medical Imaging Center, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Mei-Ting Zhang *Anhui Medical Information Research Institute, Hefei, China.
Jing JinDepartment of Ultrasound, Medical Imaging Center, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Han-Qin LiuDepartment of Ultrasound, Medical Imaging Center, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Yan YangDepartment of Ultrasound, Medical Imaging Center, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Invasive breast cancer (IBC) is the most common malignancy in women worldwide, and axillary lymph node status remains the strongest predictor of survival. Sentinel lymph node biopsy (SLNB) is the reference standard, but it is invasive, expensive, and carries appreciable morbidity. Reliable pre-operative, non-invasive markers are therefore urgently needed. This study aimed to investigate the correlation between ultrasound features, immunohistochemical indicators, and axillary lymph node metastasis in IBC. Methods: This study retrospectively analysed the data of 125 patients with IBC (diagnosed by preoperative core-needle biopsy or intraoperative pathology) who underwent surgical resection between January 2019 and December 2022. Patients were divided into metastatic (n=65) and non-metastatic (n=60) groups based on axillary lymph node metastasis status. Data were collected and compared. Results: Among the 125 patients, there were 26 (21%) luminal A, 58 (46%) luminal B, 20 (16%) human epidermal growth factor receptor 2 (HER2) overexpression, and 21 (17%) triple-negative types. Significant differences were found between the two groups in tumour blood flow grades (P<0.001), axillary lymph node ultrasound (P<0.001), tumour sizes (P<0.001), and Kiel-67 (Ki-67) positivity (P=0.028). Regression analysis showed that large tumour size [odds ratio (OR) =9.776; 95% confidence interval (CI): 2.111-45.266] and abnormal axillary lymph node ultrasound (OR =35.800; 95% CI: 7.637-167.846) were risk factors for metastasis. Conclusions: Tumour size, blood flow grade, Ki-67 expression, and axillary lymph node ultrasound diagnosis are correlated with axillary lymph node metastasis in IBC. Maximum tumour diameter ≥20 mm and abnormal axillary lymph node ultrasound are significant risk factors.

Indexed as

axillary lymph node metastasisbreast cancerimmunohistochemistryinfluencing factorsUltrasound

Identifiers

PMID41522037
PMCPMC12780572

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