ArticleEuropean radiology2012
The Breast Imaging Reporting and Data System (BI-RADS) in the Dutch breast cancer screening programme: its role as an assessment and stratification tool.
Article in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Cost-effectiveness of contrast-enhanced mammography compared to conventional imaging in the work-up after screening (RACER trial).European radiology · 2026Trial
- Cost-effectiveness of non-invasive assessment in the Dutch breast cancer screening program versus usual care: a randomized controlled trial.Canadian journal of public health = Revue canadienne de sante publique · 2014Trial
- Stratifying Breast Lesion Risk Using BI-RADS: A Correlative Study of Imaging and Histopathology.Medicina (Kaunas, Lithuania) · 2025Article
- Interhospital variations in diagnostic work-up following recall at biennial screening mammography-a population-based study.European radiology · 2025Article
- The Screening Tomosynthesis Trial with Advanced Reader Methods (STREAM): design and rationale of a population-based breast cancer screening trial.European radiology · 2025Article
- Enhancing radiologist's detection: an imaging-based grading system for differentiating Crohn's disease from ulcerative colitis.BMC medicine · 2024Article
- An audit of breast cancer in patients 40 years and younger in two Johannesburg academic hospitals.SA journal of radiology · 2024Article
- Mammogram Screening Uptake and Its Associated Factors among Female Staff in Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.The Malaysian journal of medical sciences : MJMS · 2023Article
- Efficient and Automatic Breast Cancer Early Diagnosis System Based on the Hierarchical Extreme Learning Machine.Sensors (Basel, Switzerland) · 2023Article
- The dilemma of recalling well-circumscribed masses in a screening population: A narrative literature review and exploration of Dutch screening practice.Breast (Edinburgh, Scotland) · 2023Review
- Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography.Current oncology (Toronto, Ont.) · 2023Article
- Article
- The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms.European radiology · 2022Article
- Clinical use and adjustment of ultrasound elastography for breast lesions followed WFUMB guidelines and recommendations in the real world.Frontiers in oncology · 2022Article
- Cost-Effectiveness of Magnetic Resonance Imaging Screening for Women With Extremely Dense Breast Tissue.Journal of the National Cancer Institute · 2021Article
- Biological Mechanisms and Therapeutic Opportunities in Mammographic Density and Breast Cancer Risk.Cancers · 2021Review
- Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).Diagnostics (Basel, Switzerland) · 2021Review
- Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography.AJR. American journal of roentgenology · 2021Article
- Combined diagnosis of ultrasonic elastography and BI-RADS classification increases diagnostic value in female patients with breast neoplasms.American journal of translational research · 2021Article
- Ductal Carcinoma In Situ Biology, Language, and Active Surveillance: A Survey of Breast Radiologists' Knowledge and Opinions.Journal of the American College of Radiology : JACR · 2020Article
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8 authors.
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Abstract
objectivesTo assess the suitability of the Breast Imaging Reporting and Data System (BI-RADS) as a quality assessment tool in the Dutch breast cancer screening programme.
methodsThe data of 93,793 screened women in the Amsterdam screening region (November 2005-July 2006) were reviewed. BI-RADS categories, work-up, age, final diagnosis and final TNM classification were available from the screening registry. Interval cancers were obtained through linkage with the cancer registry. BI-RADS was introduced as a pilot in the Amsterdam region before the nationwide introduction of digital mammography (2009-2010).
resultsA total of 1,559 women were referred to hospital (referral rate 1.7 %). Breast cancer was diagnosed in 485 women (detection rate 0.52 %); 253 interval cancers were reported, yielding a programme sensitivity of 66 % and specificity of 99 %. BI-RADS 0 had a lower positive predictive value (PPV, 14.1 %) than BI-RADS 4 (39.1 %) and BI-RADS 5 (92.9 %; P < 0.0001). The number of invasive procedures and tumour size also differed significantly between BI-RADS categories (P < 0.0001).
conclusionThe significant differences in PPV, invasive procedures and tumour size match with stratification into BI-RADS categories. It revealed inter-observer variability between screening radiologists and can thus be used as a quality assessment tool in screening and as a stratification tool in diagnostic work-up. KEY POINTS: • The BI-RADS atlas is widely used in breast cancer screening programmes. • There were significant differences in results amongst different BI-RADS categories. • Those differences represented the radiologists' degree of suspicion for malignancy, thus enabling stratification of referrals. • BI-RADS can be used as a quality assessment tool in screening. • Training should create more uniformity in applying the BI-RADS lexicon.
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