Résumé
Generalization of breast screening programs requires efficient double reading of mammograms, which allows reduction of false negative interpretations, but it may be difficult to achieve. CAD (Computed Aided Detection) systems are dramatically improving and can now assist in the detection of suspicious mammographie lesions, either suspicious microcalcifications, masses or architectural distortion. Characterization of the lesions is improving as well. CAD mammography might complete or substitute to "human" double reading. The aim of this review is to present the main CAD systems commercially available, review the principles of C AD and discuss the results of CAD mammography. Specifically, the role of CAD within breast screening program, according to the results of recent prospective studies will be discussed.
Titre traduit de la contribution | Understanding CAD in mammography |
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langue originale | Français |
Pages (de - à) | 29-35 |
Nombre de pages | 7 |
journal | Journal de Radiologie |
Volume | 86 |
Numéro de publication | 1 |
Les DOIs | |
état | Publié - 1 janv. 2005 |
mots-clés
- Breast cancer
- Breast screening programs
- CAD
- Double reading
- Mammography
- Neural networks