A5002085158- Digital Radiography and Breast Imaging
- AI in cancer detection
- Global Cancer Incidence and Screening
- Radiomics and Machine Learning in Medical Imaging
Lund University
2023-2024
Skåne University Hospital
2023-2024
Medicon Village
2024
Background Analysis of how digital breast tomosynthesis (DBT) screening affects consecutive performance is important to estimate its future value in screening. Purpose To evaluate whether DBT contributes early detection cancer by assessing rates (CDRs), including the fraction invasive cancers and subtypes routine mammography (DM). Materials Methods The paired prospective Malmö Breast Tomosynthesis Screening Trial (MBTST) was performed between January 2010 February 2015. Participating women...
The diagnostic accuracy of digital breast tomosynthesis (DBT) and mammography (DM) in cancer screening may vary per density subgroup. purpose this study was to evaluate which women, based on automatically assessed subgroups, have the greatest benefit DBT compared with DM prospective Malmö Breast Tomosynthesis Screening Trial.The European, Trial (n = 14,848, Jan. 27, 2010-Feb. 13, 2015) one-view two-view DM, consensus meeting before recall. secondary analysis automatic software Laboratory for...
To evaluate the total number of false-positive recalls, including radiographic appearances and biopsies, in Malmö Breast Tomosynthesis Screening Trial (MBTST).The prospective, population-based MBTST, with 14,848 participating women, was designed to compare one-view digital breast tomosynthesis (DBT) two-view mammography (DM) cancer screening. False-positive recall rates, appearances, biopsy rates were analyzed. Comparisons made between DBT, DM, DBT + both trial year 1 compared years 2 5,...