title: Multidetector-row cardiac CT: diagnostic value of calcium scoring and CT coronary angiography in patients with symptomatic, but atypical, chest pain.
abstract: The aim of this study was to investigate the accuracy of multidetector-row cardiac CT (MDCT), calcium scoring (Ca-Sc), and MDCT coronary angiography (MD CTA) in the assessment of coronary atherosclerosis. Thirty-eight patients underwent invasive coronary angiography (CA) and MDCT (collimation 4x1 mm, pitch 1.5 mm, TI 500 ms, 120 kV, 300 mAs, and retrospective ECG-gating). Calcium scoring was calculated for the total coronary artery territory and for RCA, LCA, and LCX separately. The MD CTA served to assess the degree and the localization of stenoses. All findings were compared to invasive coronary angiography. Approximately 68.4% (390 of 570) of all coronary segments could be visualized by MDCT. Correlation coefficient for MD CTA and CA amounted to r=0.58, showing distinct differences for the individual segments. Proximal segments generally showed better correlation (range 0.81-0.77) than medial segments (range 0.91-0.20), distal segments (range 0.55-0.04), or side branches (range 0.76-0.00). Patients with hemodynamically relevant (>75%) stenoses were detected by MD CTA with 72.2% sensitivity (13 of 18) and 100% specificity (20 of 20). For Ca-Sc sensitivity ranged between 94.7% (17 of 18) and 66.7% (12 of 18), specificity between 20% (4 of 20) and 80% (16 of 20) respectively, depending on the prevailing cutoff value. Combination of both methods led to 83.3% sensitivity (15 of 18) and 100% specificity (20 of 20), reaching no level of significance as compared with Ca-Sc (p=0.73) or MD CTA (p=0.23) alone. Calcium scoring as a single method showed highest sensitivity in the detection of coronary atherosclerosis but at the expense of low specificity. In patients with no or moderate calcifications, combination with MD CTA helped to distinctly increase specificity and NPV.
authors.affiliation: Institute for Diagnostic and Interventional Radiology, JW Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt/Main, Germany. c.herzog@em.uni-frankfurt.de
authors.forename: Christopher
authors.initials: C
authors.lastname: Herzog
authors.forename: Martina
authors.initials: M
authors.lastname: Britten
authors.forename: Joern O
authors.initials: JO
authors.lastname: Balzer
authors.forename: M G
authors.initials: MG
authors.lastname: Mack
authors.forename: Stefan
authors.initials: S
authors.lastname: Zangos
authors.forename: Hanns
authors.initials: H
authors.lastname: Ackermann
authors.forename: Volker
authors.initials: V
authors.lastname: Schaechinger
authors.forename: Stefan
authors.initials: S
authors.lastname: Schaller
authors.forename: Thomas
authors.initials: T
authors.lastname: Flohr
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Vogl
mesh_terms: D000328:Adult; D000368:Aged; D002114:Calcinosis / Q000000981:diagnostic imaging* / Q000453:epidemiology; D002637:Chest Pain / Q000000981:diagnostic imaging* / Q000453:epidemiology; D017023:Coronary Angiography / Q000706:statistics & numerical data; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000453:epidemiology; D023921:Coronary Stenosis / Q000000981:diagnostic imaging / Q000453:epidemiology; D003937:Diagnosis, Differential; D005260:Female; D005858:Germany; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008432:Mathematical Computing; D008875:Middle Aged; D011237:Predictive Value of Tests; D018570:Risk Assessment / Q000706:statistics & numerical data; D012680:Sensitivity and Specificity; D036542:Tomography, Spiral Computed / Q000706:statistics & numerical data