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BI-RADS categorization as a predictor of malignancy.
1Department of Radiology, University of Pennsylvania Medical Center, Philadelphia 19104, USA.
Radiology
|June 3, 1999
Summary
The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) categories effectively predict malignancy. BI-RADS category 3 lesions are highly predictive of benignity, suggesting short-term follow-up as a biopsy alternative.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) provides standardized terminology for mammographic findings.
- Accurate assessment of BI-RADS categories is crucial for guiding patient management and reducing unnecessary procedures.
Purpose of the Study:
- To determine the positive predictive value (PPV) of BI-RADS categories 0, 2, 3, 4, and 5.
- To evaluate the utility of BI-RADS terminology in predicting malignancy based on mammographically guided needle localization data.
Main Methods:
- A retrospective audit of 1,312 mammographically guided needle localizations performed between April 1991 and December 1996.
- Analysis of mammographic findings, BI-RADS categories, and subsequent histopathologic outcomes.
Main Results:
- The PPV for BI-RADS categories were: 0 (13%), 2 (0%), 3 (2%), 4 (30%), and 5 (97%).
- Category 3 lesions were predominantly benign (98%), with cancers being non-comedotype ductal carcinoma in situ (DCIS).
- Category 5 lesions demonstrated a high PPV of 97% for malignancy.
Conclusions:
- BI-RADS categorization is a valuable tool for predicting malignancy on mammography.
- BI-RADS category 3 lesions are highly indicative of benignity, supporting the use of short-term follow-up instead of biopsy to decrease unnecessary procedures.