Academic Journal

Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk

التفاصيل البيبلوغرافية
العنوان: Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk
المؤلفون: Paolo Giorgi Rossi, Olivera Djuric, Valerie Hélin, Susan Astley, Paola Mantellini, Andrea Nitrosi, Elaine F. Harkness, Emilien Gauthier, Donella Puliti, Corinne Balleyguier, Camille Baron, Fiona J. Gilbert, André Grivegnée, Pierpaolo Pattacini, Stefan Michiels, Suzette Delaloge
المصدر: Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
بيانات النشر: Nature Portfolio, 2021.
سنة النشر: 2021
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Abstract We compared accuracy for breast cancer (BC) risk stratification of a new fully automated system (DenSeeMammo—DSM) for breast density (BD) assessment to a non-inferiority threshold based on radiologists’ visual assessment. Pooled analysis was performed on 14,267 2D mammograms collected from women aged 48–55 years who underwent BC screening within three studies: RETomo, Florence study and PROCAS. BD was expressed through clinical Breast Imaging Reporting and Data System (BI-RADS) density classification. Women in BI-RADS D category had a 2.6 (95% CI 1.5–4.4) and a 3.6 (95% CI 1.4–9.3) times higher risk of incident and interval cancer, respectively, than women in the two lowest BD categories. The ability of DSM to predict risk of incident cancer was non-inferior to radiologists’ visual assessment as both point estimate and lower bound of 95% CI (AUC 0.589; 95% CI 0.580–0.597) were above the predefined visual assessment threshold (AUC 0.571). AUC for interval (AUC 0.631; 95% CI 0.623–0.639) cancers was even higher. BD assessed with new fully automated method is positively associated with BC risk and is not inferior to radiologists’ visual assessment. It is an even stronger marker of interval cancer, confirming an appreciable masking effect of BD that reduces mammography sensitivity.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-021-99433-3
URL الوصول: https://doaj.org/article/2ae46de7556848ca9eefd8ac6c0d1149
رقم الانضمام: edsdoj.2ae46de7556848ca9eefd8ac6c0d1149
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20452322
DOI:10.1038/s41598-021-99433-3