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Published on: November 14, 2025
How Does ACR BI-RADS® v2025 Change the Radiologist's Approach? A Practical Guide Across Mammography, Ultrasound, and
Ela Kaplan1, Ahmet Burak Aydemir1
1Department of Radiology, Faculty of Medicine, Adiyaman University, Adiyaman 02040, Turkey.
The Breast Imaging Reporting and Data System (BI-RADS) v2025 introduces significant updates across multiple imaging modalities, aiming to improve diagnostic consistency. However, evidence on whether these revisions enhance reader agreement and diagnostic performance remains limited.
Area of Science:
- Radiology
- Medical Imaging
- Breast Cancer Screening
Background:
- The American College of Radiology released the Breast Imaging Reporting and Data System (BI-RADS) v2025, the first major update since 2013.
- This new edition incorporates substantial revisions across mammography, ultrasonography, MRI, and introduces a dedicated section for contrast-enhanced mammography (CEM).
Purpose of the Study:
- To compare the key changes between BI-RADS v2013 and BI-RADS v2025.
- To evaluate the evidence supporting the diagnostic performance and reader agreement of the revised BI-RADS descriptors and principles.
Main Methods:
- Comparative analysis of BI-RADS v2013 and v2025 editions.
- Review of existing literature on diagnostic performance and reader agreement for imaging descriptors and assessment categories.
Main Results:
- BI-RADS v2025 includes new descriptors (e.g., 'lobulated' shape, 'non-mass lesion' in ultrasound), modified terminology (e.g., calcification shifts, MRI phase renaming), and revised Category 6 assessment.
- The update emphasizes a multimodality framework, separating assessment from management and incorporating new technologies like digital breast tomosynthesis and automated whole-breast ultrasonography.
- Evidence supporting improved reproducibility for newer descriptors is limited, and concerns remain regarding potential increases in false positives and overdiagnosis.
Conclusions:
- BI-RADS v2025 represents a significant evolution towards a comprehensive multimodality framework for breast imaging reporting.
- Further research is needed to validate the impact of v2025 revisions on diagnostic accuracy and inter-reader reliability.
- Equitable implementation of advanced tools, including artificial intelligence, is crucial for addressing reproducibility gaps and managing healthcare costs.
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