AI Article Synopsis
- This study investigates how standardized test-set results can help identify breast-screening readers who improve cancer detection after training.
- The research analyzes the test-set results of 41 participants alongside their annual cancer detection rates, using correlation tests and regression models to assess relationships between these metrics.
- Findings show significant correlations, revealing that higher sensitivity leads to better detection rates, while increased specificity may not be as beneficial in improving performance.
Article Abstract
Background And Aim: Test-sets are standardized assessments used to evaluate reader performance in breast screening. Understanding how test-set results affect real-world performance can help refine their use as a quality improvement tool. The aim of this study is to explore if mammographic test-set results could identify breast-screening readers who improved their cancer detection in association with test-set training.
Methods: Test-set results of 41 participants were linked to their annual cancer detection rate change in two periods oriented around their first test-set participation year. Correlation tests and a multiple linear regression model investigated the relationship between each metric in the test-set results and the change in detection rates. Additionally, participants were divided based on their improvement status between the two periods, and Mann-Whitney test was used to determine if the subgroups differed in their test-set metrics.
Results: Test-set records indicated multiple significant correlations with the change in breast cancer detection rate: a moderate positive correlation with sensitivity (0.688, < 0.001), a moderate negative correlation with specificity (-0.528, < 0.001), and a low to moderate positive correlation with lesion sensitivity (0.469, = 0.002), and the number of years screen-reading mammograms (0.365, = 0.02). In addition, the overall regression was statistically significant ( (2,38) = 18.456 < 0.001), with an ² of 0.493 (adjusted ² = 0.466) based on sensitivity ( = 27.132, < 0.001) and specificity ( = 9.78, = 0.003). Subgrouping the cohort based on the change in cancer detection indicated that the improved group is significantly higher in sensitivity ( < 0.001) and lesion sensitivity ( = 0.02) but lower in specificity ( = 0.003).
Conclusion: Sensitivity and specificity are the strongest test-set performance measures to predict the change in breast cancer detection in real-world breast screening settings following test-set participation.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11183186 | PMC |
| http://dx.doi.org/10.1002/hsr2.2161 | DOI Listing |
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