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Sophia Zackrisson, MD, PhD. Photo.

Sophia Zackrisson

Manager

Sophia Zackrisson, MD, PhD. Photo.

Breast density assessment using breast tomosynthesis images

Author

  • Pontus Timberg
  • Andreas Fieselmann
  • Magnus Dustler
  • Hannie Petersson
  • Hanna Sartor
  • Kristina Lång
  • Daniel Förnvik
  • Sophia Zackrisson

Editor

  • Anders Tingberg
  • Kristina Lång
  • Pontus Timberg

Summary, in English

In this work we evaluate an approach for breast density assessment of digital breast tomosynthesis (DBT) data using the central projection image. A total of 348 random cases (both FFDM CC and MLO views and DBT MLO views) were collected using a Siemens Mammomat Inspiration tomosynthesis unit at Unilabs, Malmö. The cases underwent both BI-RADS 5th Edition labeling by radiologists and automated volumetric breast density analysis (VBDA) by an algorithm. Preliminary results showed an observed agreement of 70% (weighted Kappa, κ = 0.73) between radiologists and VBDA using FFDM images and 63% (κ = 0.62) for radiologists and VBDA using DBT images. Comparison between densities for FFDM and DBT resulted in high correlation (r = 0.94) and an observed agreement of 72% (κ = 0.76). The automated analysis is a promising approach using low dose central projection DBT images in order to get radiologist- like density ratings similar to results obtained from FFDM.

Department/s

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö
  • BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation

Publishing year

2016

Language

English

Pages

197-202

Publication/Series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

9699

Document type

Conference paper

Publisher

Springer

Topic

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • BI-RADS
  • Breast density
  • Breast tomosynthesis
  • Mammography

Conference name

13th International Workshop on Breast Imaging, IWDM 2016

Conference date

2016-06-19 - 2016-06-22

Conference place

Malmo, Sweden

Status

Published

Research group

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö

ISBN/ISSN/Other

  • ISSN: 16113349
  • ISSN: 03029743
  • ISBN: 978-3-319-41546-8
  • ISBN: 9783319415451