Advertisement
top banner image  

topleft corner image     top right corner image
 
take action
bullet
bullet
bullet
bullet
bullet
bullet
bullet
bullet

jacc imaging image
bullet
bullet
bullet
bullet

acc links
bullet
bullet
bullet
bullet
bullet
bullet
bullet
bullet
bullet
bullet

JACC Homepage JACC Interventions Homepage
Still not a subscriber to JACC Imaging or JACC Interventions?

     top nav image

     

J Am Coll Cardiol Img, 2008; 1:472-474, doi:10.1016/j.jcmg.2008.05.008
© 2008 by the American College of Cardiology Foundation
This Article
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Achenbach, S.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Achenbach, S.
Related Collections
Right arrowRelated Article

Editorial comment

Quantification of Coronary Artery Stenoses by Computed Tomography*

Stephan Achenbach, MD, FACC*

Department of Cardiology, University of Erlangen, Erlangen, Germany.

Key Words: computed tomography • coronary angiography • atherosclerosis • coronary artery disease


Coronary computed tomography (CT) angiography is being increasingly employed for the evaluation of coronary artery disease (CAD). Recent publications using 64-slice CT (1,2), and dual-source CT (3,4) have demonstrated high accuracy for the detection of coronary stenoses in comparison with invasive angiography. The high negative predictive value makes CT angiography an especially attractive tool to rule out CAD with a degree of certainty and confidence that is higher than any other noninvasive and more indirect tests, such as myocardial perfusion imaging (5). A recent expert consensus document has proposed appropriate indications for coronary CT angiography, which include chronic stable angina with intermediate likelihood of CAD and equivocal results of a stress test, as well as acute chest pain with an intermediate likelihood of CAD based on clinical assessment and noncontributory enzymes, or electrocardiogram changes (6).

Since coronary CT angiography is an anatomy-based diagnostic test, its performance is validated against invasive coronary angiography. Similar to the invasive angiogram, CT allows assessment of coronary luminal narrowing, albeit not with the same degree of accuracy for quantification. Many reasons can explain the lower degree of accuracy. First, the physical properties of CT set limits to the accuracy with which the dimensions of the coronary lumen can be measured. Although spatial resolution of CT has increased substantially over the past years, it remains lower (~0.5 mm) than that of the invasive angiogram (~0.2 mm). Further, artifacts caused by the limited temporal resolution of CT, such as blurring of vessel contours or streaks emanating from calcified plaques, as well as image noise may compromise the accuracy of CT measurement of the coronary luminal diameter. This is the reason why most previous studies on coronary CT angiography have used binary cutoff values, such as >50% diameter stenosis or >70% diameter stenosis, to define a clinically relevant coronary artery stenosis by CT angiography. Few trials have tried to use quantitative approaches for determining percent stenosis and comparing these values to quantitative coronary angiography. In these studies, although the correlation (a poor measure of the agreement of 2 parameters) between the degree of stenosis detected by CT and invasive angiography was usually significant, the relationship showed substantial scatter and limits of agreement typically ranged from 20% to 40% (7–11). Since precise quantification of degree of stenosis is not possible by CT angiography, and a binary disease present or disease absent decision not truly acceptable, the use of categorical scores to grade stenosis in CT angiography makes eminent sense. Cheng et al. (12), in this issue of iJACC (JACC: Cardiovascular Imaging), propose a 5-point scale (Table 1) to grade coronary artery stenosis by CT angiography and demonstrate a significant agreement with quantitative invasive coronary angiography. Interestingly, visual estimation was just as good as quantitative measurements of stenosis degree in CT angiography and a <50% lesion in CT angiography, according to their results, is virtually exclusive of a stenosis ≥70% in invasive angiography. Earlier authors have proposed different scoring systems (Table 1) (10,13) to grade severity of stenosis; each has its advantages and disadvantages. For instance, based on the wide limits of agreement for stenosis quantification by CT, Cury et al. (10) used a wide category of moderate stenosis, ranging from 41% to 70%, which would necessitate further testing for ischemia for complete characterization of coronary disease. On the other hand, Goldstein et al. (13) included a separate category for total coronary occlusion, often an important distinction from high-grade stenosis. The grades proposed by Cheng et al. (12) have been validated thoroughly, and the agreement with clinically relevant categories of coronary stenosis verified by invasive coronary angiography is compelling. CT interpreters should give serious thought to adopting one or more of these systems.


View this table:
[in this window]
[in a new window]

 
Table 1 Proposed Grading Systems for Luminal Diameter Stenosis in Coronary Computed Tomography Angiography
 
Importantly, however, the authors of these reports make it very clear that their systems refer only to the assessment of luminal narrowing. It should be noted that CT imaging has the potential to reveal more than only luminal narrowing. A high-quality CT data set will also demonstrate the atherosclerotic plaque that causes the stenosis, and it is not uncommon to encounter large plaques that cause only mild or moderate luminal stenosis because compensatory remodeling substantially attenuates their encroachment on the lumen. As such, in comparison with the invasive angiogram, estimation of the degree of stenosis by CT angiography may be misleading when the observer does not take into account a substantial impact of positive remodeling of the lesions. Based on cross-sectional images, when comparing patent vessel lumen to the overall vessel cross section, the degree of stenosis could be interpreted as more severe than in the invasive angiographic assessment, which considers luminal stenosis only by comparison to the vessel lumen in proximal and distal reference segments (Fig. 1). The often pronounced remodeling and the small vessel lumen in comparison to the large overall vessel diameter do contribute to a tendency to visually overestimate stenosis degree in CT. Interpreters of cardiac CT need to be cautious when making their assessment of stenosis severity in order to avoid overdiagnosis of significant coronary artery stenoses, which may lead to unnecessary invasive coronary angiograms.


Figure 1
View larger version (66K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1 Assessing Degree of Stenosis by CT and Invasive Angiography

Coronary atherosclerotic lesion of the proximal right coronary artery in a 53-year-old woman. (A) A cross-sectional computed tomography (CT) image suggests a high-grade lesion with a large noncalcified plaque (large arrows) and a small remaining vessel lumen (small arrow). (B) A longitudinal display of the lesion in CT angiography demonstrates extensive positive remodeling (arrows). Consequently, the degree of luminal narrowing appears less than suggested by the cross-sectional display of the vessel in panel A. According to Cheng et al. (12), the lesion would probably visually be quantified as grade 2 (25% to 49% stenosis). (C) Invasive angiogram of the right coronary artery confirms that the degree of stenosis (arrow) is mild and should have been classified as grade 1 (<25% stenosis).

 
Visualization of lumen and plaque by CT, therefore, is a 2-sided sword. As a downside, it sometimes leads to overestimation of stenosis degree. However, it allows a more comprehensive assessment of coronary lesions, including their associated plaque burden. Complete quantification of a coronary lesion by CT angiography could—and potentially will—also include plaque dimensions (14,15), the degree of remodeling (16), and plaque characteristics such as CT attenuation and calcification (15,17,18). Future studies will certainly help elucidate how accurately CT allows the description of such lesion characteristics and what their relevance is in respect to the clinical importance of a given coronary artery stenosis. The last word on lesion quantification by CT has certainly not yet been spoken.


    Footnotes
 
* Editorials published in JACC: Cardiovascular Imaging reflect the views of the authors and do not necessarily represent the views of JACC: Cardiovascular Imaging or the American College of Cardiology. Back

* Reprint requests and correspondence: Dr. Stephan Achenbach, Department of Cardiology, University of Erlangen, Ulmenweg 18, Erlangen, Germany. (Email: stephan.achenbach{at}uk-erlangen.de).


    REFERENCES
 Top
 REFERENCES
 

  1. Hausleiter J, Meyer T, Hadamitzky M, et al. Non-invasive coronary computed tomographic angiography for patients with suspected coronary artery disease: the Coronary Angiography by Computed Tomography with the Use of a Submillimeter resolution (CACTUS) trial Eur Heart J 2007;28:3034-3041.[Abstract/Free Full Text]
  2. Shabestari AA, Abdi S, Akhlaghpoor S, et al. Diagnostic performance of 64-channel multislice computed tomography in assessment of significant coronary artery disease in symptomatic subjects Am J Cardiol 2007;99:1656-1661.[CrossRef][Web of Science][Medline]
  3. Weustink AC, Meijboom WB, Mollet NR, et al. Reliable high-speed coronary computed tomography in symptomatic patients J Am Coll Cardiol 2007;50:786-794.[Abstract/Free Full Text]
  4. Achenbach S, Ropers U, Kuettner A, et al. Randomized comparison of 64-slice single- and dual-source computed tomography for the detection of coronary artery disease J Am Coll Cardiol Img 2008;1:177-186.[Abstract/Free Full Text]
  5. Bateman T. Business aspects of cardiovascular computed tomography: tackling the challenges J Am Coll Cardiol Img 2008;1:111-118.[Abstract/Free Full Text]
  6. Hendel RC, Patel MR, Kramer CM, et al. ACCF/ACR/SCCT/SCMR/ASNC/NASCI/SCAI/SIR 2006 appropriateness criteria for cardiac computed tomography and cardiac magnetic resonance imaging: a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology J Am Coll Cardiol 2006;48:1475-1497.[Free Full Text]
  7. Busch S, Johnson TRC, Nikolaou K, et al. Visual and automatic grading of coronary artery stenoses with 64-slice CT angiography in reference to invasive angiography Eur Radiol 2007;17:1445-1451.[CrossRef][Web of Science][Medline]
  8. Hofffmann MHK, Shi M, Schmitz BL, et al. Noninvasive coronary angiography with multislice computed tomography JAMA 2005;293:2471-2478.[Abstract/Free Full Text]
  9. Cury RC, Pomerantsev EV, Ferencik M, et al. Comparison of the degree of coronary stenoses by multidetector computed tomography versus by quantitative coronary angiography Am J Cardiol 2005;96:784-787.[CrossRef][Web of Science][Medline]
  10. Cury RC, Ferencik M, Achenbach S, et al. Accuracy of 16-slice multi-detector CT to quantify the degree of coronary artery stenosis: assessment of cross-sectional and longitudinal vessel reconstructions Eur J Radiol 2006;57:345-350.[CrossRef][Web of Science][Medline]
  11. Dragu R, Rispler S, Ghersin E, et al. Contrast enhanced multi-detector computed tomography coronary angiography versus conventional invasive quantitative coronary angiography in acute coronary syndrome patients—correlation and bias Acute Card Care 2006;8:99-104.[Medline]
  12. Cheng V, Gutstein A, Wolak A, et al. Moving beyond binary grading of coronary arterial stenoses on coronary computed tomographic angiography. Insights for the imager and referring clinician. J Am Coll Cardiol Img 2008;1:460-471.[Abstract/Free Full Text]
  13. Goldstein JA, Gallagher MJ, O'Neill W, Ross MA, O'Neil BJ, Raff G. A randomized controlled trial of multi-slice coronary computed tomography for evaluation of acute chest pain J Am Coll Cardiol 2007;49:863-871.[Abstract/Free Full Text]
  14. Leber AW, Becker A, Knez A, et al. Accuracy of 64-slice computed tomography to classify and quantify plaque volumes in the proximal coronary system: a comparative study using intravascular ultrasound J Am Coll Cardiol 2006;47:672-677.[Abstract/Free Full Text]
  15. Sun J, Zhang Z, Lu B, et al. Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound Am J Roentgenol 2008;190:748-754.[Abstract/Free Full Text]
  16. Achenbach S, Ropers D, Hoffmann U, et al. Assessment of coronary remodeling in stenotic and nonstenotic coronary atherosclerotic lesions by multidetector spiral computed tomography J Am Coll Cardiol 2004;43:842-847.[Abstract/Free Full Text]
  17. Motoyama S, Kondo T, Sarai M, et al. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes J Am Coll Cardiol 2007;50:319-326.[Abstract/Free Full Text]
  18. Narula J, Garg P, Achenbach S, Motoyama S, Virmani R, Strauss HW. Arithmetic of vulnerable plaque for noninvasive imagers Nat Clin Pract Cardiovasc Med 2008In press.

Related Article

Moving Beyond Binary Grading of Coronary Arterial Stenoses on Coronary Computed Tomographic Angiography: Insights for the Imager and Referring Clinician
Victor Cheng, Ariel Gutstein, Arik Wolak, Yasuyuki Suzuki, Damini Dey, Heidi Gransar, Louise E.J. Thomson, Sean W. Hayes, John D. Friedman, and Daniel S. Berman
J. Am. Coll. Cardiol. Img. 2008 1: 460-471. [Abstract] [Full Text] [PDF]




This Article
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Achenbach, S.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Achenbach, S.
Related Collections
Right arrowRelated Article

Advertisement
 
   
 
home link current link search link archive link topics link cardiology careers link