Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software

Eur Radiol. 2012 Jun;22(6):1265-70. doi: 10.1007/s00330-012-2380-y. Epub 2012 Feb 24.

Abstract

Objective: To compare breast density on digital mammography and digital breast tomosynthesis using fully automated software.

Methods: Following institutional approval and written informed consent from all participating women, both digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) were obtained. Breast percentage density was calculated with software on DBT and FFDM.

Results: Fifty consecutive patients (mean age, 51 years; range, 35-83 years) underwent both FFDM and DBT. Using a method based on the integral curve, breast density showed higher results on FFDM (68.1 ± 12.1 for FFDM and 51.9 ± 6.5 for DBT). FFDM overestimated breast density in 16.2% (P < 0.0001). Using a method based on maximum entropy thresholding, breast density showed higher results on FFDM (68.1 ± 12.1 for FFDM and 51.9 ± 6.5 for DBT). FFDM overestimated breast density in 11.4% (P < 0.0001). There was a good correlation among BI-RADS categories on a four-grade scale and the density evaluated with DBT and FFDM (r = 0.54, P < 0.01 and r = 0.44, P < 0.01).

Conclusion: Breast density appeared to be significantly underestimated on digital breast tomosynthesis.

Key points: Breast density is considered to be an independent risk factor for cancer Density can be assessed on full-field digital mammography and digital breast tomosynthesis Objective automated estimation of breast density eliminates subjectivity Automated estimation is more accurate than BI-RADS quantitative evaluation Breast density may be significantly underestimated on digital breast tomosynthesis.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Absorptiometry, Photon / methods*
  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms*
  • False Negative Reactions
  • Female
  • Humans
  • Mammography / methods*
  • Middle Aged
  • Pattern Recognition, Automated / methods*
  • Radiographic Image Enhancement / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*