Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates.

Fulltext:
89208.pdf
Embargo:
until further notice
Size:
353.5Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2010Source
European Radiology, 20, 9, (2010), pp. 2067-73ISSN
Annotation
01 september 2010
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Radiology
Health Evidence
Former Organization
Epidemiology, Biostatistics & HTA
Journal title
European Radiology
Volume
vol. 20
Issue
iss. 9
Page start
p. 2067
Page end
p. 73
Subject
ONCOL 5: Aetiology, screening and detectionAbstract
OBJECTIVES: To investigate the referral pattern after the transition to full-field digital mammography (FFDM) in a population-based breast cancer screening programme. METHODS: Preceding the nationwide digitalisation of the Dutch screening programme, an FFDM feasibility study was conducted. Detection and referral rates for FFDM and screen-film mammography (SFM) were compared for first and subsequent screens. Furthermore, radiological characteristics of referrals in digital screening were assessed. RESULTS: A total of 312,414 screening mammograms were performed (43,913 digital and 268,501 conventional), with 4,473 consecutive referrals (966 following FFDM). Initially the FFDM referral rate peaked, and many false-positive results were noted as a consequence of pseudolesions and increased detection of (benign) microcalcifications. A higher overall referral rate was observed in FFDM screening in both first and subsequent examinations (p < .001), with a significant increase in cancer detection (p = .010). CONCLUSION: As a result of initial inexperience with digital screening images implementing FFDM in a population-based breast cancer screening programme may lead to a strong, but temporary increase in referral. Dedicated training in digital screening for radiographers and screening radiologists is therefore recommended. Referral rates decrease and stabilise (learning curve effect) at a higher level than in conventional screening, yet with significantly enhanced cancer detection.
This item appears in the following Collection(s)
- Academic publications [229196]
- Electronic publications [111648]
- Faculty of Medical Sciences [87796]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.