Koch, Henrik Wethe
Larsen, Marthe
Bartsch, Hauke
Martiniussen, Marit Almenning
Styr, Bodil Margrethe
Fagerheim, Siri
Haldorsen, Ingfrid Helene Salvesen
Hofvind, Solveig http://orcid.org/0000-0003-0178-8939
Funding for this research was provided by:
UiT The Arctic University of Norway
Article History
Received: 27 June 2023
Revised: 18 January 2024
Accepted: 28 January 2024
First Online: 23 February 2024
Declarations
:
: The scientific guarantor of this publication is Solveig Hofvind.
: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
: One of the authors has significant statistical expertise, but no complex statistical methods were necessary for this paper.
: The Cancer Registry Regulations waive the requirement to obtain written informed consent for the use of screening data for quality assurance and research (The Cancer Registry Regulation, 2001).
: Institutional Review Board approval was obtained. The study was approved by the Regional Committee for Medical and Health Research Ethics (#13294).
: A retrospective study of screening examinations performed in Rogaland, as a part of BreastScreen Norway 2010–2018 was the basis for this study: Koch HW, Larsen M, Bartsch H, Kurz KD, Hofvind S (2023) Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases. Eur Radiol 33:3735–3743. The submitted study is a follow-up study of the paper in Eur Radiol, aimed at providing a deeper understanding of the validity of the AI markings on screening mammograms.
: • an informed review of screening and diagnostic mammograms• retrospective• registry study / observational study• performed at one institution