To think it, wish it, even want it—but do it! Quality control measures in mammography image interpretation: radiologists’ attitudes and preferences vs perceived obstacles and limitations-Reference-Cited by-同舟云学术

To think it, wish it, even want it—but do it! Quality control measures in mammography image interpretation: radiologists’ attitudes and preferences vs perceived obstacles and limitations

Published:2023-08-31 Issue:11 Volume:33 Page:8100-8102
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Pedersen Kristin^ORCID,Hovda Tone

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10062-y.pdf

Reference8 articles.

1. European Commission (2020) Breast cancer burden in EU-27. European Commission, European Cancer Information System. Available via https://ecis.jrc.ec.europa.eu/pdf/Breast_cancer_factsheet-Dec_2020.pdf. Accessed 14 Jun 2023

2. Larsen M, Aglen C, Hoff SR, Lund-Hanssen H, Hofvind S (2022) Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations. Eur Radiol 32(12):8238–8246

3. Dahlblom V, Dustler M, Tingberg A, Zackrisson S (2023) Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence. Eur Radiol 33(5):3754–3765

4. Janusch-Roi A, Neamţiu L, Dimitrova N et al (2021) European Commission Initiative on Breast Cancer– Manual for Breast Cancer Services– European Quality Assurance Scheme for Breast Cancer Services, EUR 30750 EN, Publications Office of the European Union, Luxembourg, 2021, ISBN 978–92–76–39192–0, doi:https://doi.org/10.2760/155701, JRC125431. Available via https://healthcare-quality.jrc.ec.europa.eu/ecibc/breast-quality-assurance-scheme/manuals. Accessed 14 Jun 2023

5. Soh BP, Lee W, McEntee MF et al (2013) Screening mammography: test set data can reasonably describe actual clinical reporting. Radiology 268(1):46–53