Volumetric breast density measurement for personalized screening : Accuracy, reproducibility, consistency, and agreement with visual assessment
(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.
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- author
- Fieselmann, Andreas ; Förnvik, Daniel LU ; Förnvik, Hannie LU ; Lång, Kristina LU ; Sartor, Hanna LU ; Zackrisson, Sophia LU ; Kappler, Steffen ; Ritschl, Ludwig and Mertelmeier, Thomas
- organization
- publishing date
- 2019
- 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
- article number
- 031406
- publisher
- SPIE
- external identifiers
-
- pmid:30746394
- 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
- 2024-02-14 19:57:25
@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>}},
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}},
keywords = {{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}},
doi = {{10.1117/1.JMI.6.3.031406}},
volume = {{6}},
year = {{2019}},
}