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Breast Cancer Method of Detection: 5-Year Outcomes Across a Multisite Health Care Enterprise
Alan Zhu1, Bhavika K Patel2, Aditya Khurana3
1Mayo Clinic Alix School of Medicine, Phoenix, Arizona.
Journal of the American College of Radiology : JACR
|January 4, 2024
Summary
US radiologists can accurately categorize the method of detection (MOD) for breast biopsies. This study shows consistent and reliable MOD reporting across numerous imaging sites over several years.
Area of Science:
- Radiology
- Breast Imaging
- Oncology
Background:
- Accurate method of detection (MOD) categorization is crucial for breast cancer diagnosis and management.
- Standardized templates can improve reporting consistency in medical imaging.
Purpose of the Study:
- To assess the feasibility and accuracy of radiologists categorizing the method of detection (MOD) during image-guided breast biopsies.
- To evaluate the long-term consistency of MOD reporting in a large healthcare enterprise.
Main Methods:
- Retrospective observational study of 29,999 image-guided breast biopsies across 18 imaging sites.
- Radiologists used standardized templates to categorize MOD, defined as the initial trigger for biopsy recommendation.
- Manual review of 100 biopsy reports assessed the accuracy of MOD categorization.
Main Results:
- Method of detection (MOD) was reported in 98.1% of biopsies, with sustained and improving rates over time.
- Mammograms (51.6%) and MRIs (15.5%) were the most common MODs.
- Original MOD assignments agreed with author assignments in 87% of reviewed biopsies.
Conclusions:
- US radiologists can consistently and accurately categorize the method of detection (MOD) for breast biopsies.
- Standardized templates facilitate reliable MOD reporting in a large-scale healthcare setting.
