Coronary computed tomography angiography
(CCTA) is increasingly used for the
assessment of coronary heart disease (CHD)
in symptomatic patients. Software applications
have recently been developed to facilitate
efficient and accurate analysis of CCTA.
This study aims to evaluate the clinical application
of computer-aided diagnosis (CAD)
software for the detection of significant coronary
stenosis on CCTA in populations with low
(8%), moderate (13%), and high (27%) CHD
prevalence. A total of 341 consecutive patients
underwent 64-slice CCTA at 3 clinical sites in
the United States. CAD software performed
automatic detection of significant coronary
lesions (>50% stenosis). CAD results were
then compared to the consensus manual interpretation
of 2 imaging experts. Data analysis
was conducted for each patient and segment.
The CAD had 100% sensitivity per patient
across all 3 clinical sites. Specificity in the low,
moderate, and high CHD prevalence populations
was 64%, 41%, and 38%, respectively.
The negative predictive value at the 3 clinical
sites was 100%. The positive predictive value
was 22%, 21%, and 38% for the low, moderate,
and high CHD prevalence populations, respectively.
This study demonstrates the utility of
CAD software in 3 distinct clinical settings. In
a low-prevalence population, such as seen in
the emergency department, CAD can be used
as a Computer-Aided Simple Triage tool to
assist in diagnostic delineation of acute chest
pain. In a higher prevalence population, CAD
software is useful as an adjunct for both the
experienced and inexperienced reader.
Coronary computed tomography angiography, coronary heart disease, computed aided diagnosis.
Michael Poon, Department of Radiology, School of Medicine, Stony Brook University Medical Center, HSC, Level 4, Room 120, Stony Brook, NY 11794-8460, USA. Tel. +01.631.444.9565 – Fax: +01.631.444.7538. E-mail: michael.poon@stonybrookmedicine.edu
2012-09-20T00:00:00
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