Computer aided detection systems in mammography
Bywood, P, Newton, S, Merlin, T, Braunack-Mayer, A, Hiller, J
Record ID 32006000598
English
Authors' recommendations:
Future improvements in the sensitivity of computer-aided detection (CAD) prompts to masses and architectural distortions, and in the integration of information, such as both views of the breast and comparison with prior images, are likely to have a significant impact on the usefulness of this device. There is a clear need for proper large-scale prospective studies to be conducted with radiologists of variable experience and in representative screening populations. Better quality information on the accuracy of CAD assistance (in particular, specificity and positive or negative predictive values) in comparison to double-reading of mammography is essential to determine the potential benefits of the technology in Australia.
Details
Project Status:
Completed
Year Published:
2004
URL for published report:
Not Available
English language abstract:
An English language summary is available
Publication Type:
Not Assigned
Country:
Australia
MeSH Terms
- Diagnosis, Computer-Assisted
- Female
- Radiographic Image Interpretation, Computer-Assisted
- Breast Neoplasms
- Mammography
- Mass Screening
Contact
Organisation Name:
Adelaide Health Technology Assessment
Contact Address:
School of Public Health, Mail Drop 545, University of Adelaide, Adelaide SA 5005, AUSTRALIA, Tel: +61 8 8313 4617
Contact Name:
ahta@adelaide.edu.au
Contact Email:
ahta@adelaide.edu.au
Copyright:
Adelaide Health Technology Assessment (AHTA)
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.