Advanced

Volumetric breast density measurement for personalized screening : Accuracy, reproducibility, consistency, and agreement with visual assessment

Fieselmann, Andreas; Förnvik, Daniel LU ; Förnvik, Hannie LU ; Lång, Kristina LU ; Sartor, Hanna LU ; Zackrisson, Sophia LU ; Kappler, Steffen; Ritschl, Ludwig and Mertelmeier, Thomas (2019) In Journal of Medical Imaging 6(3).
Abstract

Assessment of breast density at the point of mammographic examination could lead to optimized breast cancer screening pathways. The onsite breast density information may offer guidance of when to recommend supplemental imaging for women in a screening program. A software application (Insight BD, Siemens Healthcare GmbH) for fast onsite quantification of volumetric breast density is evaluated. The accuracy of the method is assessed using breast tissue equivalent phantom experiments resulting in a mean absolute error of 3.84%. Reproducibility of measurement results is analyzed using 8427 exams in total, comparing for each exam (if available) the densities determined from left and right views, from cranio-caudal and medio-lateral oblique... (More)

Assessment of breast density at the point of mammographic examination could lead to optimized breast cancer screening pathways. The onsite breast density information may offer guidance of when to recommend supplemental imaging for women in a screening program. A software application (Insight BD, Siemens Healthcare GmbH) for fast onsite quantification of volumetric breast density is evaluated. The accuracy of the method is assessed using breast tissue equivalent phantom experiments resulting in a mean absolute error of 3.84%. Reproducibility of measurement results is analyzed using 8427 exams in total, comparing for each exam (if available) the densities determined from left and right views, from cranio-caudal and medio-lateral oblique views, from full-field digital mammograms (FFDM) and digital breast tomosynthesis (DBT) data and from two subsequent exams of the same breast. Pearson correlation coefficients of 0.937, 0.926, 0.950, and 0.995 are obtained. Consistency of the results is demonstrated by evaluating the dependency of the breast density on women's age. Furthermore, the agreement between breast density categories computed by the software with those determined visually by 32 radiologists is shown by an overall percentage agreement of 69.5% for FFDM and by 64.6% for DBT data. These results demonstrate that the software delivers accurate, reproducible, and consistent measurements that agree well with the visual assessment of breast density by radiologists.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
breast cancer, breast density, mammography, personalized screening
in
Journal of Medical Imaging
volume
6
issue
3
publisher
SPIE
external identifiers
  • scopus:85062618060
ISSN
2329-4302
DOI
10.1117/1.JMI.6.3.031406
language
English
LU publication?
yes
id
5080915e-893d-410d-8b99-43710753ce61
date added to LUP
2019-03-19 08:37:09
date last changed
2019-09-17 04:50:28
@article{5080915e-893d-410d-8b99-43710753ce61,
  abstract     = {<p>Assessment of breast density at the point of mammographic examination could lead to optimized breast cancer screening pathways. The onsite breast density information may offer guidance of when to recommend supplemental imaging for women in a screening program. A software application (Insight BD, Siemens Healthcare GmbH) for fast onsite quantification of volumetric breast density is evaluated. The accuracy of the method is assessed using breast tissue equivalent phantom experiments resulting in a mean absolute error of 3.84%. Reproducibility of measurement results is analyzed using 8427 exams in total, comparing for each exam (if available) the densities determined from left and right views, from cranio-caudal and medio-lateral oblique views, from full-field digital mammograms (FFDM) and digital breast tomosynthesis (DBT) data and from two subsequent exams of the same breast. Pearson correlation coefficients of 0.937, 0.926, 0.950, and 0.995 are obtained. Consistency of the results is demonstrated by evaluating the dependency of the breast density on women's age. Furthermore, the agreement between breast density categories computed by the software with those determined visually by 32 radiologists is shown by an overall percentage agreement of 69.5% for FFDM and by 64.6% for DBT data. These results demonstrate that the software delivers accurate, reproducible, and consistent measurements that agree well with the visual assessment of breast density by radiologists.</p>},
  articleno    = {031406},
  author       = {Fieselmann, Andreas and Förnvik, Daniel and Förnvik, Hannie and Lång, Kristina and Sartor, Hanna and Zackrisson, Sophia and Kappler, Steffen and Ritschl, Ludwig and Mertelmeier, Thomas},
  issn         = {2329-4302},
  keyword      = {breast cancer,breast density,mammography,personalized screening},
  language     = {eng},
  number       = {3},
  publisher    = {SPIE},
  series       = {Journal of Medical Imaging},
  title        = {Volumetric breast density measurement for personalized screening : Accuracy, reproducibility, consistency, and agreement with visual assessment},
  url          = {http://dx.doi.org/10.1117/1.JMI.6.3.031406},
  volume       = {6},
  year         = {2019},
}