ArticleFrontiers in oncology2022
Downgrade BI-RADS 4A Patients Using Nomogram Based on Breast Magnetic Resonance Imaging, Ultrasound, and Mammography.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A nomogram based on conventional ultrasound and elastography for diagnosing BI-RADS category 3-5 lesions.BMC medical imaging · 2026Article
- Over-detection and over-surveillance in breast screening: current status and the potential for artificial intelligence optimisation.Insights into imaging · 2025Review
- Novel study on the prediction of BI-RADS 4A positive lesions in mammography using deep learning technology and clinical factors.Quantitative imaging in medicine and surgery · 2024Article
- Age‑integrated breast imaging reporting and data system assessment model to improve the accuracy of breast cancer diagnosis.Molecular and clinical oncology · 2024Article
- A bimodal nomogram as an adjunct tool to reduce unnecessary breast biopsy following discordant ultrasonic and mammographic BI-RADS assessment.European radiology · 2024Article
- A bimodal nomogram: a non-invasive tool to assist breast radiologists in decision-making.European radiology · 2024Article
- The Potential of Adding Mammography to Handheld Ultrasound or Automated Breast Ultrasound to Reduce Unnecessary Biopsies in BI-RADS Ultrasound Category 4a: A Multicenter Hospital-Based Study in China.Current oncology (Toronto, Ont.) · 2023Article
- An Improved Nomogram to Reduce False-Positive Biopsy Rates of Breast Imaging Reporting and Data System Ultrasonography Category 4A Lesions.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo downgrade BI-RADS 4A patients by constructing a nomogram using R software. MATERIALS AND
methodsA total of 1,717 patients were retrospectively analyzed who underwent preoperative ultrasound, mammography, and magnetic resonance examinations in our hospital from August 2019 to September 2020, and a total of 458 patients of category BI-RADS 4A (mean age, 47 years; range 18-84 years; all women) were included. Multivariable logistic regression was used to screen out the independent influencing parameters that affect the benign and malignant tumors, and the nomogram was constructed by R language to downgrade BI-RADS 4A patients to eligible category.
resultsOf 458 BI-RADS 4A patients, 273 (59.6%) were degraded to category 3. The malignancy rate of these 273 lesions is 1.5% (4/273) (<2%), and the sensitivity reduced to 99.6%, the specificity increased from 4.41% to 45.3%, and the accuracy increased from 63.4% to 78.8%.
conclusionBy constructing a nomogram, some patients can be downgraded to avoid unnecessary biopsy.
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