Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Impact of breast density on diagnostic accuracy in digital breast tomosynthesis versus digital mammography : results from a European screening trial

Olinder, Jakob LU ; Johnson, Kristin LU orcid ; Åkesson, Anna LU ; Förnvik, Daniel LU and Zackrisson, Sophia LU (2023) In Breast Cancer Research 25(1).
Abstract

Background: The diagnostic accuracy of digital breast tomosynthesis (DBT) and digital mammography (DM) in breast cancer screening may vary per breast density subgroup. The purpose of this study was to evaluate which women, based on automatically assessed breast density subgroups, have the greatest benefit of DBT compared with DM in the prospective Malmö Breast Tomosynthesis Screening Trial. Materials and methods: The prospective European, Malmö Breast Tomosynthesis Screening Trial (n = 14,848, Jan. 27, 2010–Feb. 13, 2015) compared one-view DBT and two-view DM, with consensus meeting before recall. Breast density was assessed in this secondary analysis with the automatic software Laboratory for Individualized Breast Radiodensity... (More)

Background: The diagnostic accuracy of digital breast tomosynthesis (DBT) and digital mammography (DM) in breast cancer screening may vary per breast density subgroup. The purpose of this study was to evaluate which women, based on automatically assessed breast density subgroups, have the greatest benefit of DBT compared with DM in the prospective Malmö Breast Tomosynthesis Screening Trial. Materials and methods: The prospective European, Malmö Breast Tomosynthesis Screening Trial (n = 14,848, Jan. 27, 2010–Feb. 13, 2015) compared one-view DBT and two-view DM, with consensus meeting before recall. Breast density was assessed in this secondary analysis with the automatic software Laboratory for Individualized Breast Radiodensity Assessment. DBT and DM’s diagnostic accuracies were compared by breast density quintiles of breast percent density (PD) and absolute dense area (DA) with confidence intervals (CI) and McNemar’s test. The association between breast density and cancer detection was analyzed with logistic regression, adjusted for ages < 55 and ≥ 55 years and previous screening participation. Results: In total, 14,730 women (median age: 58 years; inter-quartile range = 16) were included in the analysis. Sensitivity was higher and specificity lower for DBT compared with DM for all density subgroups. The highest breast PD quintile showed the largest difference in sensitivity and specificity at 81.1% (95% CI 65.8–90.5) versus 43.2% (95% CI 28.7–59.1), p <.001 and 95.5% (95% CI 94.7–96.2) versus 97.2% (95% CI 96.6–97.8), p < 0.001, respectively. Breast PD quintile was also positively associated with cancer detected via DBT at odds ratio 1.24 (95% CI 1.09–1.42, p = 0.001). Conclusion: Women with the highest breast density had the greatest benefit from digital breast tomosynthesis compared with digital mammography with increased sensitivity at the cost of slightly lower specificity. These results may influence digital breast tomosynthesis’s use in an individualized screening program stratified by, for instance, breast density. Trial registration. Trial registration at https://www.ClinicalTrials.gov : NCT01091545, registered March 24, 2010.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Breast neoplasms, Early detection of cancer, Logistic models, Mammography
in
Breast Cancer Research
volume
25
issue
1
article number
116
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85173170125
  • pmid:37794480
ISSN
1465-5411
DOI
10.1186/s13058-023-01712-6
language
English
LU publication?
yes
id
5a8facb8-4c02-45b2-94dc-4e78e54bbd24
date added to LUP
2023-12-07 10:23:39
date last changed
2024-11-17 02:50:16
@article{5a8facb8-4c02-45b2-94dc-4e78e54bbd24,
  abstract     = {{<p>Background: The diagnostic accuracy of digital breast tomosynthesis (DBT) and digital mammography (DM) in breast cancer screening may vary per breast density subgroup. The purpose of this study was to evaluate which women, based on automatically assessed breast density subgroups, have the greatest benefit of DBT compared with DM in the prospective Malmö Breast Tomosynthesis Screening Trial. Materials and methods: The prospective European, Malmö Breast Tomosynthesis Screening Trial (n = 14,848, Jan. 27, 2010–Feb. 13, 2015) compared one-view DBT and two-view DM, with consensus meeting before recall. Breast density was assessed in this secondary analysis with the automatic software Laboratory for Individualized Breast Radiodensity Assessment. DBT and DM’s diagnostic accuracies were compared by breast density quintiles of breast percent density (PD) and absolute dense area (DA) with confidence intervals (CI) and McNemar’s test. The association between breast density and cancer detection was analyzed with logistic regression, adjusted for ages &lt; 55 and ≥ 55 years and previous screening participation. Results: In total, 14,730 women (median age: 58 years; inter-quartile range = 16) were included in the analysis. Sensitivity was higher and specificity lower for DBT compared with DM for all density subgroups. The highest breast PD quintile showed the largest difference in sensitivity and specificity at 81.1% (95% CI 65.8–90.5) versus 43.2% (95% CI 28.7–59.1), p &lt;.001 and 95.5% (95% CI 94.7–96.2) versus 97.2% (95% CI 96.6–97.8), p &lt; 0.001, respectively. Breast PD quintile was also positively associated with cancer detected via DBT at odds ratio 1.24 (95% CI 1.09–1.42, p = 0.001). Conclusion: Women with the highest breast density had the greatest benefit from digital breast tomosynthesis compared with digital mammography with increased sensitivity at the cost of slightly lower specificity. These results may influence digital breast tomosynthesis’s use in an individualized screening program stratified by, for instance, breast density. Trial registration. Trial registration at https://www.ClinicalTrials.gov : NCT01091545, registered March 24, 2010.</p>}},
  author       = {{Olinder, Jakob and Johnson, Kristin and Åkesson, Anna and Förnvik, Daniel and Zackrisson, Sophia}},
  issn         = {{1465-5411}},
  keywords     = {{Breast neoplasms; Early detection of cancer; Logistic models; Mammography}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Breast Cancer Research}},
  title        = {{Impact of breast density on diagnostic accuracy in digital breast tomosynthesis versus digital mammography : results from a European screening trial}},
  url          = {{http://dx.doi.org/10.1186/s13058-023-01712-6}},
  doi          = {{10.1186/s13058-023-01712-6}},
  volume       = {{25}},
  year         = {{2023}},
}