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The AUC for routine readers and radiologists not routinely reading mammograms were evaluated in 70.3 (95% CI 73.2 to 77.1) and 75.2 (95% CI 66.9 to 73.8) respectively, but the greatest difference seems to be observed in the fraction of false-positives in the interval 0%20%%.
Of the various experience-related factors used to evaluate this variability, annual reader volume was only important when radiologists not routinely interpreting mammograms were compared with routine readers, the latter showing greater specificity and accuracy.
Since we found no significant differences in sensitivity between the group of radiologists not routinely interpreting mammograms and the group of routine readers, we believe that sensitivity could present a certain ceiling effect, inherent to the experience-related factors studied to date.
The global measure of accuracy revealed that 61% (848 of 1399) of readings were correctly classified in the group of radiologists not routinely interpreting mammograms compared with 69% (2882 of 4188) in the groups of routine readers (p <.001) (data not shown).
The statistical significance of differences in sensitivity, specificity and accuracy between the two levels of routine readers, was determined by generalized score tests trough marginal models (link logit).
The group of radiologists not routinely interpreting mammograms showed no differences in average sensitivity in mammogram interpretation compared with routine readers but showed significantly less specificity and accuracy.
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The measurement files, exported as fcs files by the flow cytometer FACSAria III, were imported into MATLAB, using a "fcs data reader" routine (by L. Balkay, University of Debrecen, Hungary), available on MATLAB W File Exchange website.
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CEO of Professional Science Editing for Scientists @ prosciediting.com