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Using computer-aided detection in mammography as a decision support.

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.

journal_name

Eur Radiol

journal_title

European radiology

authors

Samulski M,Hupse R,Boetes C,Mus RD,den Heeten GJ,Karssemeijer N

doi

10.1007/s00330-010-1821-8

subject

Has Abstract

pub_date

2010-10-01 00:00:00

pages

2323-30

issue

10

eissn

0938-7994

issn

1432-1084

journal_volume

20

pub_type

杂志文章

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