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Updated: Mar 12, 2026

Clinical Imaging of Microwave Mammography
Published on: November 14, 2025
Radiologist Agreement for Mammographic Recall by Case Difficulty and Finding Type
Tracy Onega1, Megan Smith2, Diana L Miglioretti3
1Department of Community and Family Medicine, Dartmouth Medical School, Hanover, New Hampshire.
Mammographic interpretation agreement was low for subtle findings like asymmetric densities and architectural distortions. Focused training can improve accuracy and reduce unnecessary recalls in breast cancer screening.
Area of Science:
- Radiology
- Medical Imaging
- Breast Cancer Screening
Background:
- Mammography is crucial for early breast cancer detection.
- Variability in interpretation can affect screening outcomes.
- Improving radiologist agreement is key to enhancing mammographic performance.
Purpose of the Study:
- To evaluate the agreement between community radiologists' mammographic interpretations and expert panel consensus.
- To identify specific findings and lesion types with low agreement.
- To inform strategies for improving mammographic accuracy and reducing unnecessary recalls.
Main Methods:
- 119 community radiologists interpreted screening mammograms from 6 registries.
- Interpretations were compared against an expert panel's consensus.
- Agreement was assessed for recall decisions, finding types (mass, calcifications, asymmetric density, architectural distortion), and subtlety levels.
- Unnecessary recall rates were calculated for each finding type.
Main Results:
- High agreement (100%) was observed for obvious findings like masses.
- Lower agreement was found for subtle or asymmetric lesions, especially in cancer cases (50-60%).
- Agreement was particularly low for architectural distortions (43%) and asymmetric densities (40%).
- Asymmetric densities accounted for the majority (51%) of unnecessary recalls.
Conclusions:
- Mammographic interpretation agreement is suboptimal for specific findings, including asymmetric densities and architectural distortions.
- Targeted training on these challenging interpretations is recommended.
- Improving radiologist consensus can enhance mammography accuracy and decrease patient recall rates.
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