Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 19727750.
- Also identified by DOI 10.1007/s00330-009-1573-5 and PMC identifier 2822230.
- Licence recorded as CC BY-NC.
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Abstract
The purpose of the study was to evaluate the accuracy of 3.0-T breast MRI interpretation using manual and fully automated kinetic analyses. Manual MRI interpretation was done on an Advantage Workstation. Retrospectively, all examinations were processed with a computer-aided detection (CAD) system. CAD data sets were interpreted by two experienced breast radiologists and two residents. For each lesion automated analysis of enhancement kinetics was evaluated at 50% and 100% thresholds. Forty-nine malignant and 22 benign lesions were evaluated. Using threshold enhancement alone, the sensitivity and specificity of CAD were 97.9% and 86.4%, respectively, for the 50% threshold, and 97.9% and 90%, respectively, for the 100% threshold. Manual interpretation by two breast radiologists showed a sensitivity of 84.6% and a specificity of 68.8%. For the same two radiologists the mean sensitivity and specificity for CAD-based interpretation was 90.4% (not significant) and 81.3% (significant at p < 0.05), respectively. With one-way ANOVA no significant differences were found between the two breast radiologists and the two residents together, or between any two readers separately. CAD-based analysis improved the specificity compared with manual analysis of enhancement. Automated analysis at 50% and 100% thresholds showed a high sensitivity and specificity for readers with varying levels of experience.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Breast Neoplasms
- Image Interpretation, Computer-Assisted
- Magnetic Resonance Imaging
- Mammography
- Pattern Recognition, Automated