Skip to main content
Log in

Prevalence and characteristics of coronary artery disease in a population with suspected ischaemic heart disease using CT coronary angiography: correlations with cardiovascular risk factors and clinical presentation

Prevalenza e caratteristiche della malattia coronarica alla TC in una popolazione con sospetta coronaropatia ischemica: correlazioni con i fattori di rischio cardiovascolari e con la presentazione clinica

  • Cardiac Radiology, Cardioradiologia
  • Published:
La radiologia medica Aims and scope Submit manuscript

Abstract

Purpose. This study was undertaken to describe the correlation between the distribution of coronary artery disease (CAD) in a symptomatic population with suspected ischaemic heart disease, cardiovascular risk factors (RF) and clinical presentation

Materials and methods. We studied 163 patients (mean age 65.5 years; 101 men and 62 women) referred for multidetector computed tomography coronary angiography (MDCT-CA) to rule out CAD. The patients had no prior history of revascularisation or myocardial infarction. We analysed how the characteristics of CAD (severity and type of plaque) can change with the increase in RF and how they are related to different clinical presentations

Results. Patients were divided into three groups according to the number of RF: zero or one, two or three, and four or more. The percentage of coronary arteries with no plaque, nonsignificant disease and significant disease was 55%, 41% and 4%, respectively, in patients with zero or one RF; 27%, 51% and 22%, respectively, in patients with two or three RF; and 19%, 38% and 44%, respectively, in patients with four or more RF. Plaque in patients with nonsignificant disease was mixed in 65%, soft in 18% and calcified in 17%. The percentage of coronaries with no plaque in the three RF groups was 50%, 20% and 0% in patients with typical chest pain and 46%, 24% and 12% in those with atypical pain. The percentage of significant disease in patients with typical pain was 0%, 47% and 86% and in those with atypical pain 4%, 20% and 29%

Conclusions. MDCT plays an important role in the identification of CAD in patients with suspected ischaemic heart disease. Severity and type of disease is highly correlated with RF number and assumes different characteristics according to clinical presentation

Riassunto

Obiettivo. Descrivere la correlazione esistente tra la distribuzione della patologia coronarica, in una popolazione sintomatica con sospetta cardiopatia ischemica, i fattori di rischio (FDR) cardiovascolari e la presentazione clinica

Materiali e metodi. Abbiamo studiato 163 pazienti (età media 65,5±10,6 anni; 101 maschi e 62 femmine) che hanno eseguito una angiografia coronarica mediante tomografia computerizzata multistrato (TCMS) con lo scopo di escludere la presenza di patologia coronarica; tutti i pazienti erano sintomatici e nessuno aveva storia di rivascolarizzazione o infarto miocardio. Abbiamo analizzato come le caratteristiche della malattia (severità e tipo di placca) possono cambiare con l’aumentare dei FDR e come sono correlate alle differenti presentazioni cliniche

Risultati. Sono stati suddivisi i pazienti in tre gruppi in base al numero dei FDR: con 0 o 1, con 2 o 3 e con 4 o più FDR. La percentuale di coronarie indenni, malattia non significativa e malattia significativa era, rispettivamente, del 55%, 41%, 4% nei pazienti con 0 o 1 FDR, del 27%, 51%, 22% nei pazienti con 2 o 3 FDR e del 19%, 38%, 44% nei pazienti con 4 o più FDR. La placca nei pazienti con malattia non significativa era mista nel 65%, soft nel 18% e calcifica nel 17%. La percentuale di coronarie indenni nei tre gruppi di FDR era 50%, 20%, 0% nei pazienti con dolore tipico e 46%, 24%, 12% in quelli con dolore atipico, mentre la percentuale di malattia significativa nei pazienti con dolore tipico era 0%, 47%, 86% e in quelli con dolore atipico era 4%, 20%, 29%

Conclusioni. La TCMS ha un ruolo importante nella identificazione della patologia coronarica nei pazienti con sospetta cardiopatia ischemica. La severità e il tipo di malattia è fortemente correlato al numero dei FDR e assume caratteristiche differenti in base alla presentazione clinica

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References/Bibliografia

  1. Nieman K, Oudkerk M, Rensing BJ et al (2001) Coronary angiography with multi-sclice computed tomography. Lancet 357:599–603

    Article  CAS  PubMed  Google Scholar 

  2. Vogl TJ, Abolmaali ND, Diebold T et al (2002) Techniques for the detection of coronary atherosclerosis: multidetector row CT coronary angiography. Radiology 223:212–220

    Article  PubMed  Google Scholar 

  3. Nieman K, Cademartiri F, Lemos PA et al (2002) Reliable non-invasive coronary angiography with fast submillimeter multislice spiral computed tomography. Circulation 106:2051–2054

    Article  PubMed  Google Scholar 

  4. Mollet NR, Cademartiri F, Van Mieghem C et al (2005) Highresolution spiral computed tomography coronary angiography in patients referred for for diagnostical conventional coronary angiography. Circulation 112:2318–2323

    Article  PubMed  Google Scholar 

  5. Leschka S, Alkadhi H, Plass A et al (2005) Accuracy of MSCT coronary angiography with 64-slice technology: first experience. Eur Heart J 26:1482–1487

    Article  PubMed  Google Scholar 

  6. Raff GL, Gallagher MJ, O’Neill WW et al (2005) Diagnostic accuracy of MSCT coronary angiography using 64-slice spiral computed tomography. J Am Coll Cardiol 46:552–557

    Article  PubMed  Google Scholar 

  7. Pugliese F, Mollet NR, Runza G et al (2006) Diagnostic accuracy of noninvasive 64-slice CT coronary angiography in patients with stable angina pectoris. Eur Radiol 16:575–582

    Article  PubMed  Google Scholar 

  8. Nikolaou K, Knez A, Rist C et al (2006) Accuracy of 64-MDCT in the diagnosis of ischemic heart disease. AJR Am J Roentgenol 187:111–117

    Article  PubMed  Google Scholar 

  9. Achenbach S, Moselewski F, Ropers D et al (2004) Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimiter multidetector spiral computed tomography: a segmentbased comparison with intravascular ultrasound. Circulation 109:14–17

    Article  PubMed  Google Scholar 

  10. Schroeder S, Kuettner A, Leitritz M et al (2004) Reliability of differentiating human coronary plaque morphology using contrast-enhanced multislice spiral computed tomography: a comparison with histology. J Comput Assist Tomogr28:449–454

    Article  PubMed  Google Scholar 

  11. Wison PWF, D’Agostino RB, Levy D et al (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97:1837–1847

    Article  Google Scholar 

  12. Kronmal RA, McClelland RL, Detrano R et al (2007) Risk factors for the progression of coronary artery calcification in asymptomatic subjects. Circulation 115:2722–2730

    Article  PubMed  Google Scholar 

  13. Cademartiri F, Nieman K, van der Lugt et al (2004) IV contrast administration for CT coronary angiography on a 16-multidetector-row helical CT scanner: test bolus vs bolus tracking. Radiology 233:817–823

    Article  PubMed  Google Scholar 

  14. Austen WG, Edwards JE, Frye RL et al (1975) A reporting system on patients evaluated for coronary artert disease. Report of the Ad Hoc Committee for grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation 51:5–40

    Article  CAS  PubMed  Google Scholar 

  15. Vliestra RE, Frye RL, Kronmal RA et al (1980) Risk factors and angiographic coronary artery disease: a report from the coronary artery surgery study (CASS). Circulation 62:254–261

    Article  Google Scholar 

  16. Holmes DR, Elveback LR, Frye RL et al (1981) Association of factor variables and coronary artery disease documented with angiography. Circulation 63:293–299

    Article  PubMed  Google Scholar 

  17. Proudfit W, Shirey EK, Sones FM (1996) Selective cine coronary arteriography: correlation with clinical findings in 1000 patients. Circulation 33:901–910

    Article  Google Scholar 

  18. Budoff MJ, Diamond GA, Raggi P et al (2002) Continuous probabilistic prediction of angiographically significant coronary artery disease using electron beam tomography. Circulation 105:1791–1796

    Article  PubMed  Google Scholar 

  19. Pundziute G, Schuif JD, Jukema JW et al (2007) Prognostic value of multislice computed tomography coronary angiography in patients with known or suspected coronary artery disease. J Am Coll Cardiol 49:62–70

    Article  PubMed  Google Scholar 

  20. Shaw LJ, Raggi P, Schlsterman E et al (2003) Prognostic value of cardiac risck factors and coronary artery calcium screening for-all cause mortality. Radiology 228:826–833

    Article  PubMed  Google Scholar 

  21. Cademartiri F, Mollet NR, Lemos PA et al (2005) Impact of coronary calcium score on diagnostic accuracy for the detection of significant coronary stenosis with multislice computed tomography angiography. Am J Cardiol 95:1225–1227

    Article  CAS  PubMed  Google Scholar 

  22. Leber AW, Knez A, von Ziegler F et al (2005) Quantification of obstructive and non-obstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol 46:147–154

    Article  PubMed  Google Scholar 

  23. Rasouli ML, Shavelle DM, French WJ et al (2006) Assessment of coronary plaque morphology by contrastenhanced computed tomographic angiography: comparison with intravascular ultrasound. Coron Artery Dis 17:359–364

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Cademartiri.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cademartiri, F., Romano, M., Seitun, S. et al. Prevalence and characteristics of coronary artery disease in a population with suspected ischaemic heart disease using CT coronary angiography: correlations with cardiovascular risk factors and clinical presentation. Radiol med 113, 363–372 (2008). https://doi.org/10.1007/s11547-008-0257-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11547-008-0257-6

Keywords

Parole chiave

Navigation