Résumé
Grâce à l’amélioration des résolutions temporelle et spatiale, le coroscanner permet depuis quelques années l’exploration des artères coronaires avec comme avantage essentiel sa grande valeur prédictive négative. Sa résolution spatiale (0,35 à 0,60 mm) est supérieure à celle de l’IRM (1 à 1,5 mm) mais reste nettement inférieure à celle de la coronarographie (0,15 mm). Sa résolution temporelle (80–180 ms) est nettement inférieure à celle de l’IRM (20–40 ms). Certaines limites existent donc et doiventêtre prises en compte par le cardiologue lors de sa démarche diagnostique et pronostique. Il est utile de rappeler qu’en 2013 la coronarographie reste l’examen de référence pour explorer l’anatomie coronaire, essentiellement du fait de son excellente résolution spatiale, de sa faible morbidité, et d’une dose d’irradiation délivrée relativement faible. En pratique clinique, dans un premier temps, il est essentiel d’estimer de façon fiable la probabilité de coronaropathie avant de réaliser un test diagnostique, ce qui n’est pas toujours facile. Le cardiologue doit ensuite adapter sa stratégie diagnostique en fonction des résultats des tests d’imagerie dans le but de dépister une sténose coronaire significative induisant une ischémie myocardique étendue altérant le pronostic du patient et nécessitant un geste de revascularisation. Nous allons détailler les limites du coroscanner dans la démarche diagnostique, dans l’approche pronostique et dans l’identification des patients bénéficiant d’un geste de revascularisation.
Preview
Unable to display preview. Download preview PDF.
Références
Diamond GA, Forrester JS (1979) Analysis of probability as an aid in the clinical diagnosis of coronary artery disease. N Engl J Med 300: 1350–8
Pryor DB, Harrell FE, Lee KL, et al. (1983) Estimating the likelihood of significant coronary artery disease. Am J Med 75: 771–80
Genders TS, Steyerberg EW, Alkadhi H, et al. (2011) A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. Eur Heart J 32:1316–30
Genders TS, Steyerberg EW, Hunink MG, et al. (2012) Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ 344: 1–13
Kwok Y, Kim C, Grady D, et al. (1999) Meta-analysis of exercice testing to detect coronary artery disease in women. Am J Cardiol 83(5): 660–6
Hamon M, Morello R, Riddell JW, Hamon M (2007) Coronary arteries: diagnostic performance of 16 — versus 64-section spiral CT compared with invasive coronary angiography — meta-analysis. Radiology 245: 720–31
Mowatt G, Cook JA, Hillis GS, et al. (2008) 64-slice computed tomography angiography in the diagnosis and assessment of coronary artery disease: systematic review and meta-analysis. Heart 94: 1386–93
Budoff MJ, Dowe D, Jollis JG, et al. (2008) Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol 52: 1724–32
Miller JM, Rochitte CE, Dewey M, et al. (2008) Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359: 2324–36
Meijboom WB, Meijs MF, Schuijf JD, et al. (2008) Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol 52: 2135–44
Gueret P, Deux JF, Bonello L, et al. (2013) Diagnostic Performance of Computed Tomography Coronary Angiography — Results from the Prospective National Multicenter Multivendor EVASCAN Study. Am J Cardiol (in press)
Gaemperli O, Schepis T, Valenta I, et al. (2008) Functionally relevant coronary artery disease: comparison of 64-section CT angiography with myocardial perfusion SPECT. Radiology 248:414–23
Meijboom WB, Van Mieghem CA, van Pelt N, et al. (2008) Comprehensive assessment of coronary artery stenosis: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina. J Am Coll Cardiol 52: 636–43
Hachamovitch R, Di Carli MF (2007) Nuclear cardiology will remain the “gatekeeper” over CT angiography. J Nucl Cardiol 14: 634–44
Shaw LJ, Heller GV, Casperson P, et al. (2006) Gated myocardial perfusion single photon emission computed tomography in the clinical outcomes utilizing revascularization and aggressive drug evaluation (COURAGE) trial. J Nucl Cardiol 13: 685–98
Bamberg F, Becker A, Schwarz F, et al. (2011) Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging. Radiology 260: 689–98
Shaw LJ, Iskandrian AE (2004) Prognostic value of stress gated SPECT in patients with know or suspected coronary artery disease. J Nucl Cardiol 11: 171–85
Andreini D, Pontone G, Mushtaq S, et al. (2012) A long-term prognostic value of coronary CT angiography in suspected coronary artery disease. J Am Coll Cardiol Img 5: 690–701
Min JK, Shaw LJ, Devereux RB, et al. (2007) Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol 50: 1161–70
Hulten EA, Carbonaro S, Petrillo SP, et al. (2011) Prognostic value of cardiac computed tomography angiography. A systematic review and meta-analysis. J Am Coll Cardiol 57: 1237–47
Bamberg F, Sommer WH, Hoffmann V, et al. (2011) Meta-analysis and systematic review of the long-term predictive value of assessment of coronary atherosclerosis by contrast-enhanced coronary computed tomography angiography. J Am Coll Cardiol 57: 2426–36
Min JK, Dunning A, Lin FY, et al. (2011) Age-and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the international multicenter CONFIRM of 23 854 patients without known coronary artery disease. J Am Coll Cardiol 58: 849–60
Shaw LJ, Narula J (2009) Bridging the detection gap chasm of risk: where can computed tomography angiography take us? J Am Coll Cardiol 2: 524–6
Shaw LJ, Berman DS, Hendel RC, et al. (2008) Prognosis by coronary computed tomographic angiography: matched comparison with myocardial perfusion single-photon emission computed tomography. J Cardiovasc Comput Tomogr 2: 93–101
Van Werkhoven JM, Schuijf JD, Gaemperli O, et al. (2009) Prognostic value of multislice computed tomography and gated single-photon emission computed tomography in patients with suspected coronary artery disease. J Am Coll Cardiol 53: 623–32
Arbab-Zadeh A, Miller J, Rochitte CE, et al. (2012) Diagnostic accuracy of computed coronary angiography according to pre-test probability of coronary artery disease and severity of coronary arterial calcification. J Am Coll Cardiol 59: 379–87
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag France, Paris
About this paper
Cite this paper
Furber, A. (2013). Exploration d’une douleur thoracique suspecte d’origine coronaire en 2013 : contre le scanner en 1re intention en dehors de l’urgence?. In: Boyer, L., Guéret, P. (eds) Imagerie en coupes du cœur et des vaisseaux. Springer, Paris. https://doi.org/10.1007/978-2-8178-0435-4_8
Download citation
DOI: https://doi.org/10.1007/978-2-8178-0435-4_8
Publisher Name: Springer, Paris
Print ISBN: 978-2-8178-0434-7
Online ISBN: 978-2-8178-0435-4
eBook Packages: MedicineMedicine (R0)