Computer-aided detection in mammography

Mammographic film reading for breast screening is a highly demanding visual task involving a detailed visual search for signs of abnormality, which are infrequent and often small or subtle. False-negative cases, in which a cancer is missed by a film reader, are known to occur. Although double readin...

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Bibliographic Details
Published in:Clinical Radiology 2004-05, Vol.59 (5), p.390-399
Main Authors: Astley, S.M, Gilbert, F.J
Format: Article
Language:English
Subjects:
Biological and medical sciences
Breast Neoplasms - diagnostic imaging
Breast Neoplasms - prevention & control
Breast radiography
Cancer screening
Clinical Competence - standards
Computer-aided detection
Diagnosis
Equipment Design
False Positive Reactions
Female
Humans
Investigative techniques, diagnostic techniques (general aspects)
Mammography - methods
Mammography - standards
Mass Screening - methods
Mass Screening - standards
Medical sciences
Radiographic Image Interpretation, Computer-Assisted - instrumentation
Radiographic Image Interpretation, Computer-Assisted - methods
Radiographic Image Interpretation, Computer-Assisted - standards
Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects)
Sensitivity and Specificity
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Summary:Mammographic film reading for breast screening is a highly demanding visual task involving a detailed visual search for signs of abnormality, which are infrequent and often small or subtle. False-negative cases, in which a cancer is missed by a film reader, are known to occur. Although double reading has proved effective in reducing errors, there is a national shortage of film readers in the screening programme, and recent extensions to the programme have exacerbated this problem. The use of computer-aided detection (CAD) systems could potentially provide a solution by improving individual performance to the extent that double reading is no longer necessary. In this paper, we describe how CAD works, review the relevant literature and examine the strengths and weaknesses of the approach.
ISSN:0009-9260
1365-229X
DOI:10.1016/j.crad.2003.11.017