ArticleEuropean journal of breast health2022
Diagnostic Value of Axillary Ultrasound, MRI, and
Article in European journal of breast health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- The predictive value of lymph node status pre-operation by ultrasound and MRI in early and newly diagnosed breast cancer.Clinical and experimental medicine · 2026Pooled 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
- Disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and molecular subtype: prediction of axillary treatment response after neoadjuvant systemic therapy for breast cancer.The British journal of surgery · 2024Trial
- Machine Learning Classification of Axillary Lymph Nodes Using Microwave Signals.Sensors (Basel, Switzerland) · 2026Article
- Post-Neoadjuvant Chemotherapy Axillary Ultrasound in cN+ Breast Cancer: Can It Reliably Support de-Escalation of Axillary Surgery?Cancer medicine · 2026Article
- Predictive value of node-RADS scoring system for axillary lymph node metastasis in breast cancer.BMC medical imaging · 2026Article
- Article
- Relationship Between [European journal of breast health · 2025Article
- Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer.Frontiers in oncology · 2025Article
- Can we skip invasive biopsy of sentinel lymph nodes? A preliminary investigation to predict sentinel lymph node status using PET/CT-based radiomics.BMC cancer · 2024Article
- Does F-18 FDG-PET/CT Have an Additional Impact on Axillary Approach in Early-Stage Breast Cancer?European journal of breast health · 2024Article
- Ultrasound Pretreatment Lymph Node Evaluation in Early-Stage Breast Cancer: Should We Biopsy High Suspicion Nodes?Clinics and practice · 2023Article
- Tumor Characteristics Associated with Axillary Nodal Positivity in Triple Negative Breast Cancer.Diseases (Basel, Switzerland) · 2023Article
- Use of machine learning with two-dimensional synthetic mammography for axillary lymph node metastasis prediction in breast cancer: a preliminary study.Translational cancer research · 2023Article
- Factors Influencing Lymph Node Positivity in HER2/neu+ Breast Cancer Patients.Current oncology (Toronto, Ont.) · 2023Article
- Axillary staging with 18F-FDG PET/CT in early breast cancer: impact of tumor subtypes.Annals of Saudi medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveKnowing axillary lymph node (ALN) status before surgery affects decisions about treatment modalities. Therefore, reliable, noninvasive diagnostic methods are important for determining ALN metastases. We aimed to accurately evaluate the patient's ALN status with noninvasive imaging modalities while making treatment decisions. MATERIALS AND
methodsPatients who received the axillary ultrasound (AUS), magnetic resonance imaging (MRI), or 18F-fluorodeoxyglucose positron emission tomography/computed tomography (
resultsThe sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of AUS for the detection of ALN metastases were 83%, 62%, 59.2%, 54.8%, and 79.1%, respectively. For MRI they were 86.1%, 75%, 68.5%, 51.6%, and 85.3%, respectively, and for
conclusionIn our study, we found that the diagnostic performance of MRI was slightly better than AUS and
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Registered trials
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.