BI-RADS


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BI-RADS

Breast Imaging-Reporting and Data System. A quality assurance system and lexicon originally designed for reporting mammography results from patients with breast cancer, and published as an atlas by the American College of Radiology. The BI-RADS Atlas is a peer-reporting (i.e., not for lay or patient use) tool which now includes three imaging modalities: mammography, ultrasound and MRI.

There is considerable variability in the correct interpretation of mammograms among radiologists—there is a moderate agreement among radiologists in reporting an abnormal finding when cancer is present (kappa = 0.52) and substantial agreement when cancer is not present (kappa = 0.62); BI-RADS was designed by the American College of Radiology (ACR) to provide the verbal uniformity to be used in descriptions of mammogram results, required for data submission to the ACR National Mammography Database (NMD), and to ensure concise reporting of breast-imaging findings among various practitioners and specialties.

On dictation, there may be reference to an ACR, a BI-RADS or an ACRBI-RADS classification or category related to findings. These are:
1 or N: normal;
2 or B: benign;
3 or P: probably benign;
4 or S: suspicious ;
5 or M: malignant.

BI-RADS Assessment Categories
0: Incomplete;
1: Negative;
2: Benign finding(s);
3: Probably benign;
4: Suspicious abnormality;
5: Highly suggestive of malignancy;
6: Known biopsy—proven malignancy.

Breast Composition Categories
1: Almost entirely fat;
2: Scattered fibroglandular densities;
3: Heterogeneously dense;
4: Extremely dense.
References in periodicals archive ?
The training seeks to strengthen the competencies of the health professional and standardize the criteria for mammography taking that is offered to women aged 50 to 69, as well as reduce the results of mammograms with BI-RADS 0 (indeterminate result, which merits greater complementary studies in the patient).
The company added that the Koios DS (Decision Support) Breast 2.0 is a new version of its machine learning based platform that assists physicians in the classification and diagnosis of breast cancer.The software offers a proprietary alignment to BI-RADS for any lesion analyzed and is available connected to PACS and/or directly on GE Healthcare's LOGIQ E10 ultrasound system.
Breast Imaging Reporting and Data System (BI-RADS) categorisation was applied according to the US and mammography findings.
Lastly, imaging findings that are highly suggestive of malignancy and given Breast Imaging Reporting and Data System (BI-RADS) 5 designation would be called discordant because a benign core biopsy result in these cases would not be acceptable.
While one study has demonstrated a relationship between communication processes and timeliness of follow-up after an indeterminate mammogram result (Breast Imaging-Reporting and Data System--BI-RADS--0), no studies have investigated facility processes of care for more concerning BI-RADS 4 or 5 results and follow-up, (40) or their relationship to disparities in follow-up.
The atlas was designed to ensure that breast findings are appropriately analyzed and correctly designated to one of seven BI-RADS categories, each of which implies a specific management recommendation.
Case interpretation time was recorded as readers identified abnormal findings and reported BI-RADS assessment categories and level of suspicion for breast cancer.
The assessment of BI-RADS category one and 2 (normal, and benign) and BI-RADS category 4 and 5 (suspected, and highly suspected) breast lesions are relatively easy for radiologists and clinicians; BI-RADS category 3 is more difficult.
Breast MRI examinations were considered positive if they showed a BI-RADS 4 or 5 finding.
Los diferentes metodos de clasificacion de la densidad de la mama y sus actualizaciones (BI-RADS, Wolfe, Tabar, Boyd), pueden arrojar un error aleatorio en la interpretacion de la mamografia, ya que son clasificaciones subjetivas, y no existe un estandar de oro (17); por lo que el radiologo puede tomar indistintamente cualquier clasificacion para su interpretacion, variando el patron de densidad entre cada una de ellas y provocando inconsistencias inter e intra-observador (18).
Between 2009-2016, 4589 core needle biopsies of breast tissue were performed at our facility in response to a Breast Imaging Reporting and Data System (BI-RADS) assessment category 4.
MONDAY, April 30, 2018 (HealthDay News) -- Automated and clinical Breast Imaging Reporting and Data System (BI-RADS) density measures similarly predict breast cancer risk, according to a study published online May 1 in the Annals of Internal Medicine.