Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction.
Journal
Radiology
ISSN: 1527-1315
Titre abrégé: Radiology
Pays: United States
ID NLM: 0401260
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
pubmed:
13
5
2020
medline:
18
12
2020
entrez:
13
5
2020
Statut:
ppublish
Résumé
Background The associations of density measures from the publicly available Laboratory for Individualized Breast Radiodensity Assessment (LIBRA) software with breast cancer have primarily focused on estimates from the contralateral breast at the time of diagnosis. Purpose To evaluate LIBRA measures on mammograms obtained before breast cancer diagnosis and compare their performance to established density measures. Materials and Methods For this retrospective case-control study, full-field digital mammograms in for-processing (raw) and for-presentation (processed) formats were obtained (March 2008 to December 2011) in women who developed breast cancer an average of 2 years later and in age-matched control patients. LIBRA measures included absolute dense area and area percent density (PD) from both image formats. For comparison, dense area and PD were assessed by using the research software (Cumulus), and volumetric PD (VPD) and absolute dense volume were estimated with a commercially available software (Volpara). Density measures were compared by using Spearman correlation coefficients (
Identifiants
pubmed: 32396041
doi: 10.1148/radiol.2020192509
pmc: PMC7325699
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
24-31Subventions
Organisme : NCI NIH HHS
ID : R01 CA177150
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA207084
Pays : United States
Organisme : NIH HHS
ID : S10 OD023495
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA189523
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA207369
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA161749
Pays : United States
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