Abstract
The variability of breast percent density (PD%) estimation from digital mammography (DM) images was evaluated using measurements from readers with different training and clinical experience. Post-processed DM images (PremiumView TM, GE Healthcare)from 40 women were analyzed. Breast PD% estimation was performed using the Cumulus software (Ver. 4.0, Univ. Toronto). Two groups of readers were considered, one with clinical (i.e., radiologists) and one with non-clinical training (i.e., physicists). Consistency of PD% was analyzed using the Pearson correlation coefficient (r) and ANOVA. Inter-reader agreement was higher among clinical (r=0.91, p<0.001), than non-clinical readers (r=0.83, p<0.001). Intra-reader consistency after repeated reads was on average equally high for both groups (r=0.91, p<0.001). Our results suggest that the reader’s experience and training has an effect on the obtained PD% measures. The higher correlation among the clinically trained readers could be attributed to their extensive exposure to post-processed DM images and their knowledge of breast anatomy.
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Conant, E.F. et al. (2010). A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader’s Training and Clinical Experience. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_16
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DOI: https://doi.org/10.1007/978-3-642-13666-5_16
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