Observational studyEuropean radiology2022
Predicting the risk of axillary lymph node metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features and the use of nomograms: a prospective single-center observational study.
Observational study in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction of sentinel lymph node status in patients with early breast cancer using breast imaging as an alternative to surgical staging-a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- Mammography-based artificial intelligence model for predicting axillary lymph node status after neoadjuvant therapy in breast cancer.European radiology · 2026Article
- A clinically interpretable model for Parkinson's disease: insights from complementary MRI modalities.Brain communications · 2026Article
- MRI Epicenters Differentiate Spatiotemporal Patterns of Neurodegeneration in Parkinson's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Nomogram models for prediction of axillary lymph node metastasis in breast cancer patients.BMC cancer · 2025Article
- Ultrasound-based radiomics model for predicting axillary lymph node metastasis of breast cancer.BMC medical imaging · 2025Article
- Preoperative prediction of HER2 expression and sentinel lymph node status in breast cancer using a mammography radiomics model.Frontiers in oncology · 2025Article
- Integration of multi-imaging technique and immunohistochemistry for the development of a predictive nomogram for axillary lymph node metastasis in breast cancer.Frontiers in endocrinology · 2025Article
- A nomogram model for predicting the risk of axillary lymph node metastasis in patients with early breast cancer and cN0 status.Oncology letters · 2024Article
- Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.European radiology · 2024Article
- Analysis of clinicopathological characteristics and prognostic factors in 54 metaplastic breast carcinoma patients from northwest China.CytoJournal · 2024Article
- Radiomics nomogram for predicting axillary lymph node metastasis-a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study.La Radiologia medica · 2023Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
objectivesThe purpose of this study was to establish two preoperative nomograms to evaluate the risk for axillary lymph node (ALN) metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features.
methodsWe prospectively evaluated 593 consecutive female participants who were diagnosed with cT
resultsA total of 528 participants were evaluated in the final analyses. Multivariable analysis revealed that the number of suspicious lymph nodes, long axis, short-to-long axis ratio, cortical thickness, tumor location, and histological grade were independent predictors of ALN status. The AUCs of nomogram A in the training and validation groups were 0.83 and 0.78, respectively. The AUCs of nomogram B in the training and validation groups were 0.87 and 0.87, respectively. Both nomograms were well-calibrated.
conclusionWe developed two preoperative nomograms that can be used to predict ALN metastasis (presence vs. absence) and the number of metastatic ALNs (≤ 2 vs. > 2) in early breast cancer patients. Both nomograms are useful tools that will help clinicians predict the risk of ALN metastasis and facilitate therapy decision-making about axillary surgery. KEY POINTS: • We developed two preoperative nomograms to predict axillary lymph node status based on ultrasonographic-clinicopathologic features. • Nomogram A was used to predict axillary lymph node metastasis (presence vs. absence). The AUCs in the training and validation groups were 0.83 and 0.78, respectively. Nomogram B was used to estimate the number of metastatic lymph nodes ( ≤ 2 vs. > 2). The AUCs in the training and validation group were 0.87 and 0.87, respectively. • Our nomograms may help clinicians weigh the risks and benefits of axillary surgery more appropriately.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.