Using computer-aided detection in mammography as a decision support.
Eur Radiol
; 20(10): 2323-30, 2010 Oct.
Article
em En
| MEDLINE
| ID: mdl-20532890
ABSTRACT
OBJECTIVE:
To evaluate an interactive computer-aided detection (CAD) system for reading mammograms to improve decision making.METHODS:
A dedicated mammographic workstation has been developed in which readers can probe image locations for the presence of CAD information. If present, CAD findings are displayed with the computed malignancy rating. A reader study was conducted in which four screening radiologists and five non-radiologists participated to study the effect of this system on detection performance. The participants read 120 cases of which 40 cases had a malignant mass that was missed at the original screening. The readers read each mammogram both with and without CAD in separate sessions. Each reader reported localized findings and assigned a malignancy score per finding. Mean sensitivity was computed in an interval of false-positive fractions less than 10%.RESULTS:
Mean sensitivity was 25.1% in the sessions without CAD and 34.8% in the CAD-assisted sessions. The increase in detection performance was significant (p = 0.012). Average reading time was 84.7 ± 61.5 s/case in the unaided sessions and was not significantly higher when interactive CAD was used (85.9 ± 57.8 s/case).CONCLUSION:
Interactive use of CAD in mammography may be more effective than traditional CAD for improving mass detection without affecting reading time.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
/
Mamografia
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Screening_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article