ArticleClinical and experimental medicine2025
Predicting sentinel lymph node metastasis in breast cancer: a study based on the SEER database.
Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Occult Malignancy and Sentinel Lymph Node Metastasis at the Time of Contralateral Prophylactic Mastectomy.Annals of surgical oncology · 2026Pooled it
- Predictors of Sentinel Lymph Node Metastasis and External Validation of the MSKCC Nomogram in Breast Cancer: A Retrospective Single-Center Cohort Study.Diagnostics (Basel, Switzerland) · 2026Article
- Small Triple-Negative and HER2-Positive Early Breast Cancer: Upfront Surgery or Neoadjuvant Chemotherapy?Cancers · 2026Review
- Predicting sentinel lymph node metastasis in breast cancer using an interpretable machine learning approach based on multi-domain clinical features.Breast cancer research : BCR · 2026Article
- An investigation to identify the factors for negative sentinel lymph node metastasis in early breast cancer cases.Breast cancer (Tokyo, Japan) · 2026Article
- The Evaluation of Combined Diffusion Kurtosis Imaging and Intravoxel Incoherent Motion Diffusion Weighted Imaging in Preoperatively Predicting Sentinel Lymph Node Metastasis of Breast Cancer.International journal of general medicine · 2026Article
- Development of a preoperative nomogram to identify low-risk early-stage breast cancer patients eligible for SLNB omission.World journal of surgical oncology · 2025Article
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10 authors.
Funding
Abstract
backgroundSentinel lymph node biopsy (SLNB), a standard surgical procedure for clinically axillary-negative breast cancer patients, significantly reduces complications compared with axillary lymph node dissection, but it is still a relatively invasive procedure with some complications, affecting patient's quality of life. To identify patients who might benefit from avoiding SLNB, this study aimed to develop a nomogram for predicting sentinel lymph node metastasis (SLNM) in breast cancer patients using the SEER database.
methodsWe identified breast cancer patients whose 1-5 lymph nodes were examined in the SEER database as those who underwent SLNB. Patients were randomly assigned to the training and validation cohorts at a 3:1 ratio. Univariate and multivariate logistic regression were used to evaluate the relationships between SLNM and patients' clinicopathological characteristics. A nomogram was constructed, and its performance was validated via ROC curves, calibration curves, and decision curve analysis.
resultsAge, race, primary site, T stage, M stage, histological grade, pathological type, estrogen receptor status, and progesterone receptor status are independent predictive factors for SLNM in patients with breast cancer. We successfully developed a predictive nomogram for sentinel lymph node status, with AUC values of 0.711 and 0.700 for the training and validation cohorts, respectively.
conclusionOur study successfully established an SLNM nomogram that provides richer predictive information. The model exhibits good clinical efficacy and serves as a reference value for populations potentially exempt from SLNB.
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