BACKGROUND: Electron-beam computed tomography (EBCT) is a new, noninvasive method of detecting coronary artery calcification that is being increasingly advocated as a diagnostic test for coronary artery disease (CAD). Before its clinical use is justified, however, the overall accuracy of EBCT must be better defined. OBJECTIVE: To estimate the accuracy of EBCT in diagnosing obstructive CAD. DATA SOURCES: English-language studies from January 1, 1979, through February 29, 2000, were retrieved using MEDLINE and Current Contents databases, bibliographies, and expert consultation. STUDY SELECTION: We included a study if it (1) used EBCT as a diagnostic test; (2) reported cases in absolute numbers of true-positive, false-positive, true-negative, and false-negative results; and (3) used coronary angiography as the reference standard for diagnosing obstructive CAD (defined as > or = 50% diameter stenosis). DATA EXTRACTION: Data were extracted from the included articles by 2 independent reviewers. DATA SYNTHESIS: Weighted pooled analysis and summary receiver operating characteristic (ROC) curve analysis were used to determine sensitivity and specificity rates. Results from 9 studies with 1662 subjects were included. Pooled 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 specificity changed. For a threshold that resulted in a sensitivity of 90%, specificity was 54%; when sensitivity was 80%, specificity rose to 71%. CONCLUSION: The performance of EBCT as a diagnostic test for obstructive CAD is reasonable based on sensitivity and specificity rates from its summary ROC curve.
BACKGROUND: Electron-beam computed tomography (EBCT) is a new, noninvasive method of detecting coronary artery calcification that is being increasingly advocated as a diagnostic test for coronary artery disease (CAD). Before its clinical use is justified, however, the overall accuracy of EBCT must be better defined. OBJECTIVE: To estimate the accuracy of EBCT in diagnosing obstructive CAD. DATA SOURCES: English-language studies from January 1, 1979, through February 29, 2000, were retrieved using MEDLINE and Current Contents databases, bibliographies, and expert consultation. STUDY SELECTION: We included a study if it (1) used EBCT as a diagnostic test; (2) reported cases in absolute numbers of true-positive, false-positive, true-negative, and false-negative results; and (3) used coronary angiography as the reference standard for diagnosing obstructive CAD (defined as > or = 50% diameter stenosis). DATA EXTRACTION: Data were extracted from the included articles by 2 independent reviewers. DATA SYNTHESIS: Weighted pooled analysis and summary receiver operating characteristic (ROC) curve analysis were used to determine sensitivity and specificity rates. Results from 9 studies with 1662 subjects were included. Pooled 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 specificity changed. For a threshold that resulted in a sensitivity of 90%, specificity was 54%; when sensitivity was 80%, specificity rose to 71%. CONCLUSION: The performance of EBCT as a diagnostic test for obstructive CAD is reasonable based on sensitivity and specificity rates from its summary ROC curve.
Authors: Jonathan Rosman; Michael Shapiro; Anuragini Pandey; Andrew VanTosh; Steven R Bergmann Journal: J Nucl Cardiol Date: 2006 May-Jun Impact factor: 5.952
Authors: P Knaapen; S de Haan; O S Hoekstra; R Halbmeijer; Y E Appelman; J G J Groothuis; E F Comans; M R Meijerink; A A Lammertsma; M Lubberink; M J W Götte; A C van Rossum Journal: Neth Heart J Date: 2010-02 Impact factor: 2.380
Authors: Matthew J Budoff; Khurram Nasir; Ronit Katz; Junichiro Takasu; J Jeffery Carr; Nathan D Wong; Matthew Allison; Joao A C Lima; Robert Detrano; Roger S Blumenthal; Richard Kronmal Journal: Atherosclerosis Date: 2010-11-26 Impact factor: 5.162
Authors: Kelley Pettee Gabriel; Karen A Matthews; Adriana Pérez; Daniel Edmundowicz; Harold W Kohl; Marquis S Hawkins; Judson C Janak; Andrea M Kriska; Lewis H Kuller Journal: Menopause Date: 2013-02 Impact factor: 2.953
Authors: Joachim H Ix; Ronit Katz; Bryan Kestenbaum; Linda F Fried; Holly Kramer; Catherine Stehman-Breen; Michael G Shlipak Journal: J Am Soc Nephrol Date: 2008-01-30 Impact factor: 10.121
Authors: Christiane A Geluk; Riksta Dikkers; Patrick J Perik; René A Tio; Marco J W Götte; Hans L Hillege; Rozemarijn Vliegenthart; Janneke B Houwers; Tineke P Willems; Matthijs Oudkerk; Felix Zijlstra Journal: Eur Radiol Date: 2007-09-28 Impact factor: 5.315