SynthesisThoracic cancer2018
Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta-analysis.
Synthesis in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Pooled it
- Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.European radiology · 2024Pooled it
- Prediction of axillary lymph node metastasis in breast cancer using preoperative CT Hounsfield units: A retrospective study.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
- Axillary lymph node metastasis in breast cancer: from historical axillary surgery to updated advances in the preoperative diagnosis and axillary management.BMC surgery · 2025Review
- Development and Validation of a Nomogram for Axillary Lymph Node Metastasis Risk in Breast Cancer.Journal of Cancer · 2024Article
- Diagnostic accuracy of pre-operative breast magnetic resonance imaging (MRI) in predicting axillary lymph node metastasis: variations in intrinsic subtypes, and strategy to improve negative predictive value-an analysis of 2473 invasive breast cancer patients.Breast cancer (Tokyo, Japan) · 2023Article
- Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review.Breast cancer research : BCR · 2023Review
- Evaluation of different imaging modalities for axillary lymph node staging in breast cancer patients to provide a personalized and optimized therapy algorithm.Journal of cancer research and clinical oncology · 2023Article
- Predictive Value ofDiagnostics (Basel, Switzerland) · 2022Article
- Theranostic Interpolation of Genomic Instability in Breast Cancer.International journal of molecular sciences · 2022Review
- Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.Frontiers in oncology · 2022Article
- Clinical prediction model based on 18F-FDG PET/CT plus contrast-enhanced MRI for axillary lymph node macrometastasis.Frontiers in oncology · 2022Article
- Optimal Selection of Imaging Examination for Lymph Node Detection of Breast Cancer With Different Molecular Subtypes.Frontiers in oncology · 2022Article
- Nanocarbon Tracer and Areola Injection Site Are Superior in the Sentinel Lymph Node Biopsy Procedure for Breast Cancer.Computational and mathematical methods in medicine · 2022Article
- Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis.BMC medical imaging · 2021Article
- A retrospective review of MRI features associated with metastasis-free survival in women with breast cancer: focusing on skin thickening and skin enhancement.The British journal of radiology · 2021Article
- Article
- Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer.Frontiers in oncology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study was conducted to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for the detection of axillary lymph node metastasis in patients with breast cancer.
methodsPubMed, Medline, Web of Science, Cochrane Embase, Chinese Biomedical Literature, and China National Knowledge Infrastructure databases were searched for open published studies relevant to the use of MRI for the detection of axillary lymph node metastasis in breast cancer patients. The pooled diagnostic sensitivity, specificity, and the symmetric receiver operating characteristic (SROC) curve was calculated by combining the individual data extracted from 26 included studies.
resultsThe pooled diagnostic sensitivity and specificity of MRI to detect axillary lymph node metastasis in patients with breast cancer were 0.77 (95% confidence interval [CI] 0.75-0.80) and 0.90 (95% CI 0.89-0.91), respectively. The pooled positive and negative likelihood ratios were 7.67 (95% CI 5.09-11.53) and 0.23 (95% CI 0.17-0.32), respectively, by random effect method. The area under the SROC curve was 0.93 for MRI to detect axillary lymph node metastasis in breast cancer patients.
conclusionWith high sensitivity, specificity, and area under the curve, MRI is an effective method to differentiate metastatic axillary lymph node in breast cancer patients, which can provide useful information for surgical procedure selection.
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