Diagnostic Performance of Multislice Spiral Computed Tomography of Coronary Arteries as Compared With Conventional Invasive Coronary Angiography
A Meta-Analysis
Michèle Hamon, MD*,
Giuseppe G.L. Biondi-Zoccai, MD ,
Patrizia Malagutti, MD||,
Pierfrancesco Agostoni, MD¶,
Rémy Morello, MD ,
Marco Valgimigli, MD and
Martial Hamon, MD,*
* Radiology
Cardiology
Statistics of the University Hospital of Caen, Caen, Normandy, France
Hemodynamics and Cardiovascular Radiology Service, Policlinico San Donato, San Donato Milanese, Milan, Italy
|| Radiology Department, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands
¶ Cardiovascular Institute Middelheim, AZ Middelheim, Antwerp, Belgium
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Figure 1 Flow diagram of the reviewing process.
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Figure 2 Plot and table of per-segment sensitivity of multislice computed tomography-coronary angiography (MSCT-CA) compared with coronary angiography (CA). CI = confidence interval; df = degrees of freedom.
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Figure 3 Plot and table of per-segment specificity of MSCT-CA compared with CA. Abbreviations as in Figure 2.
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Figure 4 Plot and table of per-segment positive likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2.
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Figure 5 Plot and table of per-segment negative likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2.
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Figure 6 Plot and table of per-segment diagnostic odds ratio (OR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2.
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Figure 7 Plot and table of per-patient sensitivity of MSCT-CA compared with CA. Abbreviations as in Figure 2.
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Figure 8 Plot and table of per-patient specificity of MSCT-CA compared with CA. Abbreviations as in Figure 2.
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Figure 9 Plot and table of per-patient positive likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2.
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Figure 10 Plot and table of per-patient negative likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2.
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Figure 11 Plot and table of per-patient diagnostic odds ratio (OR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2.
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Figure 12 Plot of symmetric summary per-segment (A) and per-patient (B) receiver-operating characteristic of MSCT-CA compared with CA. The receiver-operating characteristic curve provides a graphic display of diagnostic accuracy by plotting 1 – specificity in the horizontal axis and sensitivity in the vertical axis. The pertinent area under the curve (AUC) and Q* statistic (the point where sensitivity and specificity are maximal), both with standard errors (SE), are also included. SROC = summary receiver-operating characteristic; other abbreviations as in Figure 2.
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