BIRADS® CALCULATOR
*Educational tool for breast imaging classification
What type of exam are you analyzing?
Select the BIRADS category:
Positive Predictive Values by BIRADS Category
| BIRADS Category | Description | Mammography PPV | Ultrasound PPV | MRI PPV | Typical Management |
|---|---|---|---|---|---|
| BIRADS 0 | Incomplete assessment | — | — | — | Additional exam needed |
| BIRADS 1 | Negative | 0% | 0% | 0% | Routine screening |
| BIRADS 2 | Benign findings | 0% | 0% | 0% | Routine screening |
| BIRADS 3 | Probably benign | ≤ 2% | ≤ 2% | ≤ 2% | 6-month follow-up |
| BIRADS 4A | Low suspicion | 2-10% | 2-10% | 2-10% | Percutaneous biopsy |
| BIRADS 4B | Intermediate suspicion | 10-50% | 10-50% | 10-50% | Percutaneous biopsy |
| BIRADS 4C | Moderate suspicion | 50-95% | 50-95% | 50-95% | Percutaneous biopsy |
| BIRADS 5 | Highly suspicious | ≥ 95% | ≥ 95% | ≥ 95% | Percutaneous biopsy |
| BIRADS 6 | Known malignancy | 100% | 100% | 100% | Oncologic treatment |
Note: PPV = Positive Predictive Value. Values may vary between different studies and populations.
BIRADS System: Complete Guide
The BIRADS system (Breast Imaging Reporting and Data System) is a standardized tool developed by the American College of Radiology to classify and report findings on breast imaging exams, promoting clear communication between radiologists and treating physicians.
What is the BIRADS System?
BIRADS is a classification system that categorizes breast lesions according to their probability of malignancy, providing standardized clinical management recommendations. It was developed to reduce variability in exam interpretation and improve medical communication.
Main Objectives
- Standardize terminology in breast imaging reports
- Reduce confusion in communication between physicians of different disciplines
- Facilitate outcome monitoring and medical audit
- Support evidence-based clinical decision-making
Application by Modality
Mammography
The first modality in which BIRADS was implemented. It uses specific criteria such as shape, margins, density, and associated features to classify lesions.
Ultrasonography
Adaptation of BIRADS for breast ultrasound, considering characteristics such as echogenicity, shape, orientation, margins, and posterior acoustic transmission.
Magnetic Resonance Imaging
Most recent version, focused on morphologic and dynamic enhancement criteria specific to MRI, including contrast kinetics analysis.
Category Details
| Category | Detailed Description | Risk (%) | Recommended Management |
|---|---|---|---|
| BIRADS 0 | Incomplete assessment. Additional imaging and/or prior images are needed. | Variable | Complete the work-up with additional exams |
| BIRADS 1 | Negative. No significant findings to report. | 0% | Routine screening according to age |
| BIRADS 2 | Definitely benign findings. No follow-up needed. | 0% | Routine screening according to age |
| BIRADS 3 | Probably benign finding. Short-interval follow-up recommended. | ≤ 2% | 6-month follow-up, then annually until 2-3 years are completed |
| BIRADS 4 | Suspicious abnormality. Biopsy should be considered. | 2-95% | Percutaneous biopsy (subdivided into 4A, 4B, 4C) |
| BIRADS 5 | Finding highly suggestive of malignancy. | ≥ 95% | Percutaneous biopsy with surgical planning |
| BIRADS 6 | Known malignancy, proven by biopsy. | 100% | Appropriate oncologic treatment |
Limitations and Considerations
- Interobserver variability even with standardized criteria
- Need for adequate training for consistent application
- Population differences may affect predictive values
- Importance of correlation with clinical history and physical examination
Audit and Quality Control
The BIRADS system allows systematic auditing of results through the calculation of indicators such as:
- Cancer detection rate by category
- Positive predictive value of recommended biopsies
- Recall rate for diagnostic work-up
- Agreement between different radiologists
Schedule your appointment with Dr. Diegomaier Nunes for an individualized discussion about BIRADS classification.
Schedule via WhatsAppReferences and Scientific Sources
Main Sources
- SciELO - Breast imaging reporting and data system BIRADS™
- UNESP - The importance of BIRADS® classification
- Brazilian Ministry of Health - Technical Parameters for Breast Cancer Screening
- SciELO - BIRADS®: positive predictive value of categories 3, 4, and 5
- SciELO - Predictive values of BIRADS™ categories 3, 4, and 5
Tools and Guidelines
- UNICAMP - BIRADS® Recommendations for Auditing Breast Exams
- FetalMed - BI-RADS US
- Fiocruz - BIRADS system: management
- Brazilian Ministry of Health - BIRADS® Category Cancer risk Management
Updates and Clinical Practice
- BIRADS is essential for standardizing reports and communication across medical disciplines
- BIRADS tools and calculators support risk stratification, outcome auditing, and rapid determination of management
- Mastery of the criteria and limitations is essential for proper application
- Systematic reviews should be used to keep practice up to date