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Breast density assessment using breast tomosynthesis images

Timberg, Pontus LU ; Fieselmann, Andreas; Dustler, Magnus LU ; Petersson, Hannie LU ; Sartor, Hanna LU ; Lång, Kristina LU ; Förnvik, Daniel LU and Zackrisson, Sophia LU (2016) 13th International Workshop on Breast Imaging, IWDM 2016 In Breast Imaging 9699. p.197-202
Abstract

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... (More)

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.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
BI-RADS, Breast density, Breast tomosynthesis, Mammography
in
Breast Imaging
editor
Tingberg, Anders ; Lång, Kristina; Timberg, Pontus; ; and
volume
9699
pages
6 pages
publisher
Springer Verlag
conference name
13th International Workshop on Breast Imaging, IWDM 2016
external identifiers
  • scopus:84977600472
  • wos:000386324200026
ISSN
03029743
16113349
ISBN
9783319415451
978-3-319-41546-8
DOI
10.1007/978-3-319-41546-8_26
language
English
LU publication?
yes
id
c9035703-8b32-4baa-b4fe-b1d460a1b4aa
date added to LUP
2016-07-25 12:44:01
date last changed
2017-09-18 11:30:57
@inproceedings{c9035703-8b32-4baa-b4fe-b1d460a1b4aa,
  abstract     = {<p>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.</p>},
  author       = {Timberg, Pontus and Fieselmann, Andreas and Dustler, Magnus and Petersson, Hannie and Sartor, Hanna and Lång, Kristina and Förnvik, Daniel and Zackrisson, Sophia},
  booktitle    = {Breast Imaging},
  editor       = {Tingberg, Anders  and Lång, Kristina and Timberg, Pontus},
  isbn         = {9783319415451},
  issn         = {03029743},
  keyword      = {BI-RADS,Breast density,Breast tomosynthesis,Mammography},
  language     = {eng},
  pages        = {197--202},
  publisher    = {Springer Verlag},
  title        = {Breast density assessment using breast tomosynthesis images},
  url          = {http://dx.doi.org/10.1007/978-3-319-41546-8_26},
  volume       = {9699},
  year         = {2016},
}