Computerized analysis of tissue density effect on missed cancer detection in digital mammography.
Comput Med Imaging Graph
; 30(5): 291-7, 2006 Jul.
Article
em En
| MEDLINE
| ID: mdl-16837164
ABSTRACT
This paper presents a study of the analysis of breast density in missed cancer cases and the effect of tissue density on cancer detection. A total of 100 missed cancer cases were collected. The breast density tissue was segmented with a statistical-based method. A set of tests was then applied to examine (1) the differences in density between the mammograms at the detected stage and that at missed stage; (2) the density difference between the cancerous mammograms and their contra-lateral normal mammograms in the missed cancer cases; (3) the effect of breast density on CAD cancer detection. The results demonstrate that breast density is an important factor affecting not only radiologist's reading but also CAD performance. In order to improve early detection of breast cancer, a special effort should be directed to the high dense breast cases in CAD system design.
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Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
/
Mamografia
/
Interpretação de Imagem Assistida por Computador
/
Tecido Conjuntivo
Tipo de estudo:
Diagnostic_studies
/
Screening_studies
Limite:
Female
/
Humans
País como assunto:
America do norte
Idioma:
En
Ano de publicação:
2006
Tipo de documento:
Article