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The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT)




TekijätSchlattmann, Peter; Wieske, Viktoria; Bressem, Keno K.; Götz, Theresa; Schuetz Georg M.; Andreini, Daniele; Pontone, Gianluca; Alkadhi, Hatem; Hausleiter, Jörg; Zimmermann, Elke; Gerber, Bernhard; Shabestari, Abbas A.; Meijs, Matthijs F.L.; Sato, Akira; Øvrehus, Kristian A.; Jenkins, Shona M. M.; Knuuti, Juhani; Hamdan, Ashraf; Halvorsen, Björn A.; Mendoza-Rodriguez, Vladimir; Rixe, Johannes; Wan, Yung-Lian; Langer, Christoph; Leschka, Sebastian; Martuscelli, Eugenio; Ghostine, Said; Tardif, Jean-Claide; Sánchez, Alejandra Rodriguez; Haase, Robert; Dewey, Marc

KustantajaSpringer Science and Business Media Deutschland GmbH

Julkaisuvuosi2024

JournalInsights into imaging

Tietokannassa oleva lehden nimiInsights into Imaging

Artikkelin numero208

Vuosikerta15

Numero1

ISSN1869-4101

eISSN1869-4101

DOIhttps://doi.org/10.1186/s13244-024-01702-y

Verkko-osoitehttps://doi.org/10.1186/s13244-024-01702-y

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/457656608


Tiivistelmä

Aim: To determine the effectiveness of functional stress testing and computed tomography angiography (CTA) for diagnosis of obstructive coronary artery disease (CAD).

Methods and results: Two-thousand nine-hundred twenty symptomatic stable chest pain patients were included in the international Collaborative Meta-Analysis of Cardiac CT consortium to compare CTA with exercise electrocardiography (exercise-ECG) and single-photon emission computed tomography (SPECT) for diagnosis of CAD defined as ≥ 50% diameter stenosis by invasive coronary angiography (ICA) as reference standard. Generalised linear mixed models were used for calculating the diagnostic accuracy of each diagnostic test including non-diagnostic results as dependent variables in a logistic regression model with random intercepts and slopes. Covariates were the reference standard ICA, the type of diagnostic method, and their interactions. CTA showed significantly better diagnostic performance (p < 0.0001) with a sensitivity of 94.6% (95% CI 92.7–96) and a specificity of 76.3% (72.2–80) compared to exercise-ECG with 54.9% (47.9–61.7) and 60.9% (53.4–66.3), SPECT with 72.9% (65–79.6) and 44.9% (36.8–53.4), respectively. The positive predictive value of CTA was ≥ 50% in patients with a clinical pretest probability of 10% or more while this was the case for ECG and SPECT at pretest probabilities of ≥ 40 and 28%. CTA reliably excluded obstructive CAD with a post-test probability of below 15% in patients with a pretest probability of up to 74%.

Conclusion: In patients with stable chest pain, CTA is more effective than functional testing for the diagnosis as well as for reliable exclusion of obstructive CAD. CTA should become widely adopted in patients with intermediate pretest probability.

Systematic review registration: PROSPERO Database for Systematic Reviews—CRD42012002780.

Critical relevance statement: In symptomatic stable chest pain patients, coronary CTA is more effective than functional testing for diagnosis and reliable exclusion of obstructive CAD in intermediate pretest probability of CAD.

Key Points: Coronary computed tomography angiography showed significantly better diagnostic performance (p < 0.0001) for diagnosis of coronary artery disease compared to exercise-ECG and SPECT. The positive predictive value of coronary computed tomography angiography was ≥ 50% in patients with a clinical pretest probability of at least 10%, for ECG ≥ 40%, and for SPECT 28%. Coronary computed tomography angiography reliably excluded obstructive coronary artery disease with a post-test probability of below 15% in patients with a pretest probability of up to 74%.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Julkaisussa olevat rahoitustiedot
The funding source of the COME-CCT collaboration is the German Federal Ministry of Education and Research (BMBF, 01KG1110) for meta-analyses as part of the joint programme ‘clinical trials’ of the BMBF and the German Research Foundation (DFG). BMBF and DFG had no role in the design, conduct, analysis, or reporting of this study. The corresponding author had full access to all the data. The steering committee had responsibility for the decision to submit for publication. Open Access funding enabled and organized by Projekt DEAL.


Last updated on 2025-13-02 at 11:04