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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^,_*

^_* Department of Radiology of the University Hospital of Caen, Caen, Normandy, France
Department of Cardiology of the University Hospital of Caen, Caen, Normandy, France
Department of 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.

View larger version (15K): [in this window] [in a new window] [Download PPT slide]   Figure 1 Flow diagram of the reviewing process.

View larger version (39K): [in this window] [in a new window] [Download PPT slide]   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.

View larger version (46K): [in this window] [in a new window] [Download PPT slide]   Figure 3 Plot and table of per-segment specificity of MSCT-CA compared with CA. Abbreviations as in Figure 2 .

View larger version (46K): [in this window] [in a new window] [Download PPT slide]   Figure 4 Plot and table of per-segment positive likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2 .

View larger version (46K): [in this window] [in a new window] [Download PPT slide]   Figure 5 Plot and table of per-segment negative likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2 .

View larger version (45K): [in this window] [in a new window] [Download PPT slide]   Figure 6 Plot and table of per-segment diagnostic odds ratio (OR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2 .

View larger version (39K): [in this window] [in a new window] [Download PPT slide]   Figure 7 Plot and table of per-patient sensitivity of MSCT-CA compared with CA. Abbreviations as in Figure 2 .

View larger version (41K): [in this window] [in a new window] [Download PPT slide]   Figure 8 Plot and table of per-patient specificity of MSCT-CA compared with CA. Abbreviations as in Figure 2 .

View larger version (41K): [in this window] [in a new window] [Download PPT slide]   Figure 9 Plot and table of per-patient positive likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2 .

View larger version (43K): [in this window] [in a new window] [Download PPT slide]   Figure 10 Plot and table of per-patient negative likelihood ratio (LR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2 .

View larger version (41K): [in this window] [in a new window] [Download PPT slide]   Figure 11 Plot and table of per-patient diagnostic odds ratio (OR) of MSCT-CA compared with CA. Other abbreviations as in Figure 2 .

View larger version (16K): [in this window] [in a new window] [Download PPT slide]   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 .