Zobrazeno 1 - 10
of 34
pro vyhledávání: '"M Luke Marinovich"'
Autor:
Jannah Baker, Naomi Noguchi, M Luke Marinovich, Brian L. Sprague, Elizabeth Salisbury, Nehmat Houssami
Publikováno v:
Breast, Vol 78, Iss , Pp 103807- (2024)
Background: Biopsy-proven breast lesions such as atypical ductal hyperplasia (ADH) or atypical lobular hyperplasia (ALH), lobular carcinoma in situ (LCIS) and flat epithelial atypia (FEA) increase subsequent risk of breast cancer (BC), but long-term
Externí odkaz:
https://doaj.org/article/bfae7ecd6a6a48399ad61260a11d4260
Autor:
Nehmat Houssami, Darren Lockie, Michelle Giles, Sally Doncovio, Georgina Marr, David Taylor, Tong Li, Brooke Nickel, M Luke Marinovich
Publikováno v:
Breast, Vol 74, Iss , Pp 103692- (2024)
Background: Digital breast tomosynthesis (DBT) for breast cancer screening has been shown in international trials to increase cancer detection compared with mammography; however, results have varied across screening settings, and currently there is l
Externí odkaz:
https://doaj.org/article/f5ffed67a3e743f0ae6421c9e71f971b
Autor:
Nehmat Houssami, M Luke Marinovich
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 10, Pp e641-e642 (2023)
Externí odkaz:
https://doaj.org/article/5b97a603da9f46f29d75d43baf98375a
Autor:
Tong Li, Brooke Nickel, Preston Ngo, Kathleen McFadden, Meagan Brennan, M Luke Marinovich, Nehmat Houssami
Publikováno v:
Breast, Vol 67, Iss , Pp 78-88 (2023)
Background: Breast cancer care has been affected by the COVID-19 pandemic. This systematic review aims to describe the observed pandemic-related changes in clinical and health services outcomes for breast screening and diagnosis. Methods: Seven datab
Externí odkaz:
https://doaj.org/article/fc8faf98aaa1475385ab4dda06fa4c5b
Autor:
Gizachew A Tessema, M Luke Marinovich, Siri E Håberg, Mika Gissler, Jonathan A Mayo, Natasha Nassar, Stephen Ball, Ana Pilar Betrán, Amanuel T Gebremedhin, Nick de Klerk, Maria C Magnus, Cicely Marston, Annette K Regan, Gary M Shaw, Amy M Padula, Gavin Pereira
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0255000 (2021)
BackgroundMost evidence for interpregnancy interval (IPI) and adverse birth outcomes come from studies that are prone to incomplete control for confounders that vary between women. Comparing pregnancies to the same women can address this issue.Method
Externí odkaz:
https://doaj.org/article/5a06ca8363124014bec183d4d1f7e992
Publikováno v:
British Journal of Cancer
Background We examined whether digital breast tomosynthesis (DBT) detects differentially in high- or low-density screens. Methods We searched six databases (2009–2020) for studies comparing DBT and digital mammography (DM), and reporting cancer det
Autor:
Nehmat Houssami, Darren Lockie, Michelle Giles, Naomi Noguchi, Georgina Marr, M Luke Marinovich
Publikováno v:
British Journal of Radiology
Objective: This follow-up study of BreastScreen Victoria’s pilot trial of digital breast tomosynthesis aimed to report interval cancer rates, screening sensitivity, and density-stratified outcomes for tomosynthesis vs mammography screening. Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1faa83f59223905494100b3906a5692
https://hdl.handle.net/2123/31314
https://hdl.handle.net/2123/31314
Publikováno v:
The Breast
Background A 2014 SSO-ASTRO guideline on surgical margins aimed to reduce unnecessary reoperation after breast conserving surgery (BCS). We investigate whether publication of the guideline was associated with a reduction in reoperation in Western Aus
Autor:
M. Luke Marinovich, Elizabeth Wylie, William Lotter, Helen Lund, Andrew Waddell, Carolyn Madeley, Gavin Pereira, Nehmat Houssami
Publikováno v:
eBioMedicine. 90:104498
Autor:
Anna W. Anderson, M. Luke Marinovich, Nehmat Houssami, Kathryn P. Lowry, Joann G. Elmore, Diana S.M. Buist, Solveig Hofvind, Christoph I. Lee
Publikováno v:
J Am Coll Radiol
Journal of the American College of Radiology
Journal of the American College of Radiology
Purpose: The aim of this study was to describe the current state of science regarding independent external validation of artificial intelligence (AI) technologies for screening mammography. Methods: A systematic review was performed across five datab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9daeaebaf592b8e701fc69b7a8f55d4
https://europepmc.org/articles/PMC8857031/
https://europepmc.org/articles/PMC8857031/