BI-RADS is an acronym for Breast Imaging-Reporting and Data System, a quality assurance tool originally designed for use with mammography. The system is a collaborative effort of many health groups but is published and trademarked by the American College of Radiology. The system is designed to standardize reporting, and is used by medical professionals to communicate a patient's risk of developing breast cancer. The document focuses on patient reports used by medical professionals, not "lay reports" that are provided to patients.
Published Documents
The BI-RADS is published by ACR in the form of the BI-RADS Atlas. As of 2013 the Atlas is divided into 3 publications:
While BI-RADS is a quality control system, in day-to-day usage the term "BI-RADS" refers to the mammography assessment categories. These are standardized numerical codes typically assigned by a radiologist after interpreting a mammogram. This allows for concise and unambiguousunderstanding of patient records between multiple doctors and medical facilities. The assessment categories were developed for mammography and later adapted for use with MRI and Ultrasound findings. The summary of each category, given below, is nearly identical for all 3 modalities. Category 6 was added in the 4th edition of the BI-RADS. BI-RADS Assessment Categories are:
0: Incomplete
1: Negative
2: Benign
3: Probably benign
4: Suspicious
5: Highly suggestive of malignancy
6: Known biopsy – proven malignancy
An incomplete classification warrants either an effort to ascertain prior imaging for comparison or to call the patient back for additional views and/or higher quality films. A BI-RADS classification of 4 or 5 warrants biopsy to further evaluate the offending lesion. Some experts believe that the single BI-RADS 4 classification does not adequately communicate the risk of cancer to doctors and recommend a subclassification scheme:
4A: low suspicion for malignancy, about 2%
4B: intermediate suspicion of malignancy, about 10%
4C: moderate concern, but not classic for malignancy, about 50%
Breast Composition Categories
As of the BI-RADS 5th edition
a. The breasts are almost entirely fatty
b. There are scattered areas of fibroglandular density
c. The breasts are heterogeneously dense, which may obscure small masses
d. The breasts are extremely dense, which lowers the sensitivity of mammography
Automated Extraction
Automatic parsers have been developed to automatically extract BI-RADS features, categories and breast composition from textual mammography reports. There is also automatic parser available for BI-RADS final category inference by parsing only the semi-formatted finding section of the textual mammography report
