AI Article Synopsis
- The study evaluated a fully automated method for estimating volumetric breast density (VBD) using digital breast tomosynthesis (DBT) and compared it with full-field digital mammography (FFDM) and magnetic resonance (MR) imaging.
- A total of 68 women's breast images from various methods were analyzed, revealing strong correlations in VBD estimates between DBT and both FFDM and MR imaging, but with notable differences in the actual density percentages.
- The findings suggest that while automated VBD estimates from these imaging techniques are closely related, the absolute differences in VBD values should be taken into account when assessing breast cancer risk.
Article Abstract
Purpose: To assess a fully automated method for volumetric breast density (VBD) estimation in digital breast tomosynthesis (DBT) and to compare the findings with those of full-field digital mammography (FFDM) and magnetic resonance (MR) imaging.
Materials And Methods: Bilateral DBT images, FFDM images, and sagittal breast MR images were retrospectively collected from 68 women who underwent breast cancer screening from October 2011 to September 2012 with institutional review board-approved, HIPAA-compliant protocols. A fully automated computer algorithm was developed for quantitative estimation of VBD from DBT images. FFDM images were processed with U.S. Food and Drug Administration-cleared software, and the MR images were processed with a previously validated automated algorithm to obtain corresponding VBD estimates. Pearson correlation and analysis of variance with Tukey-Kramer post hoc correction were used to compare the multimodality VBD estimates.
Results: Estimates of VBD from DBT were significantly correlated with FFDM-based and MR imaging-based estimates with r = 0.83 (95% confidence interval [CI]: 0.74, 0.90) and r = 0.88 (95% CI: 0.82, 0.93), respectively (P < .001). The corresponding correlation between FFDM and MR imaging was r = 0.84 (95% CI: 0.76, 0.90). However, statistically significant differences after post hoc correction (α = 0.05) were found among VBD estimates from FFDM (mean ± standard deviation, 11.1% ± 7.0) relative to MR imaging (16.6% ± 11.2) and DBT (19.8% ± 16.2). Differences between VDB estimates from DBT and MR imaging were not significant (P = .26).
Conclusion: Fully automated VBD estimates from DBT, FFDM, and MR imaging are strongly correlated but show statistically significant differences. Therefore, absolute differences in VBD between FFDM, DBT, and MR imaging should be considered in breast cancer risk assessment.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819897 | PMC |
| http://dx.doi.org/10.1148/radiol.2015150277 | DOI Listing |
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