Bk. Nallamothu et al., Electron-beam computed tomography in the diagnosis of coronary artery disease - A meta-analysis, ARCH IN MED, 161(6), 2001, pp. 833-838
Citations number
33
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Background: Electron-beam computed tomography (EBCT) is a new, noninvasive
method of detecting coronary artery calcification that is being increasingl
y advocated as a diagnostic test for coronary artery disease (CAD). Before
its clinical use is justified, however, the overall accuracy of EBCT must b
e better defined.
Objective: To estimate the accuracy of EBCT in diagnosing obstructive CAD.
Data Sources: English-language studies from January 1, 1979, through Febura
ry 29, 2000. were retrieved using MEDLINE and Current Contents databases, b
ibliographies, and expert consultation.
Study Selection: We included a study if it (1) used EBCT as a diagnostic te
st; (2) reported cases in absolute numbers of true-positive, false-positive
. true-negative, and false-negative results, and (3) used coronary angiogra
phy as the reference standard for diagnosing obstructive CAD (defined as gr
eater than or equal to 50% diameter stenosis).
Data Extraction: Data were extracted from the in eluded articles by 2 indep
endent reviewers.
Data Synthesis: Weighted pooled analysis and summary receiver operating cha
racteristic (ROC) curve analysis were used to determine sensitivity and spe
cificity rates. Results from 9 studies with 1662 subjects were included. Po
oled sensitivity for EBCT was 92.3% (95% confidence interval [CI], 90.7%-94
.0%) and pooled specificity was 51.2% (95% CI, 47.5%-54.9%). Maximum joint
sensitivity and specificity for EBCT from its summary ROC curve was 75%. As
the threshold for defining an abnormal test varied, sensitivity and specif
icity changed. For a threshold that resulted in a sensitivity of 90%, speci
ficity was 54%; when sensitivity was 80%, specificity rose to 71%.
Conclusion: The performance of EBCT as a diagnostic test for obstructive CA
D is reasonable based on sensitivity and specificity rates from its summary
ROC curve.