Skip Navigation


European Heart Journal Advance Access originally published online on August 27, 2008
European Heart Journal 2008 29(19):2323-2324; doi:10.1093/eurheartj/ehn392
This Article
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
29/19/2323    most recent
ehn392v1
Right arrow E-letters: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when E-letters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in EHJ
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Schoenhagen, P.
Right arrow Articles by Tuzcu, E. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Schoenhagen, P.
Right arrow Articles by Tuzcu, E. M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2008. For permissions please email: journals.permissions@oxfordjournals.org

Identifying patterns of atherosclerotic disease manifestation with coronary computed tomography. Impact on clinical management and outcome?

Paul Schoenhagen* and E. Murat Tuzcu

The Cleveland Clinic, Imaging Institute and Heart & Vascular Institute, 9500 Euclid Ave., Cleveland, OH 44195, USA

* Corresponding author. Tel: +1 216 445-7579, Fax: +1 216 445-6855, Email: schoenp1{at}ccf.org

This editorial refers to ‘Evaluation of plaque characteristics in acute coronary syndromes: non-invasive assessment with multi-slice computed tomography and invasive evaluation with intravascular ultrasound radiofrequency data analysis’{dagger} by G. Pundziute et al., on page 2373


Footnotes

The opinions expressed in this article are not necessarily those of the Editors of the European Heart Journal or of the European Society of Cardiology.

Since its introduction as a tool for non-invasive coronary imaging, computed tomographic angiography (CTA) has undergone significant clinical validation. Its feasibility and diagnostic performance for the assessment of luminal stenosis have been evaluated against conventional angiography.1,2 In multiple comparative studies, it has been demonstrated that significant luminal stenosis can be excluded with high negative predictive value. The positive predictive value for the detection of stenotic lesions is reduced by stenosis overestimation due to artefact associated with advanced, calcified atherosclerotic lesions. At the same time, CTA has been validated for assessment of plaque burden and plaque characteristics. Several studies have demonstrated reliable identification and differentiation of calcified and non-calcified plaque in comparison with intravascular ultrasound (IVUS), but further characterization of non-calcified components based on the CT Hounsfield unit value is limited.3

The ultimate goal of atherosclerosis imaging is the identification of ‘the vulnerable plaque’, prior to their causing acute cardiovascular events. In post-mortem studies, these high-risk lesions, the so-called thin cap fibroatheromata (TCFA), are characterized by a necrotic core, separated from the lumen by a thin fibrous cap (<65 µm), which consists of smooth muscle cells and inflammatory cells in a proteoglycan-rich collagen matrix.4 While reliable in vivo identification is still not possible, invasive imaging modalities including IVUS and optical coherence tomography (OCT) allow identification of individual high-risk features.

Grey-scale IVUS studies comparing lesion morphology in stable and unstable patients found low echodensity, positive remodelling, and small ‘spotty’ calcium deposits to be more prevalent in unstable patients.5,6 Advanced analysis of the IVUS backscatter information [IVUS radiofrequency analysis (RFA)] allows further plaque differentiation.7 Based on emerging data, the IVUS-derived fibroatheroma (ID TCFA) is defined as a plaque with significant plaque burden, a confluent necrotic core >10–20% of the total plaque volume, and no imaging evidence of a fibrous cap (i.e. minimal thickness of the cap below the resolution of IVUS). The amount of calcium is variable, >10%, with a speckled appearance.8

Pundziute et al. describe data comparing IVUS RFA plaque analysis with CTA in 50 patients presenting with acute coronary syndromes (ACS) or stable CAD.9 By CTA, plaques were classified as non-calcified, calcified, and mixed (non-calcified and calcified components within the same plaque). In ACS patients, 32% of plaques were non-calcified and 59% were mixed. In patients with stable CAD, predominantly calcified lesions were most prevalent (61%). The percentage of necrotic core was higher in the plaques of ACS patients (P = 0.02), and ID TCFAs were more prevalent than in stable patients (32% vs 3%, P <0.001). Importantly, ID TCFAs were most frequently observed in mixed plaques. Similar to previous IVUS and CTA studies, these results suggest that mixed calcified lesions with spotty calcification are related to plaque vulnerability.6,10

The overall risk of developing an acute cardiovascular event is probably related to the number of plaques and their individual level of vulnerability. This has diagnostic and therapeutic implications. On the one hand, focal identification of the most vulnerable lesions would allow evaluation of novel, plaque-stabilizing interventions, including prophylactic stenting or local drug delivery. It has been suggested that CTA could be used as a roadmap to identify hot spots for subsequent further evaluation with IVUS in the context of local invasive treatment. However, a major limitation is the fact that imaging criteria of vulnerability are typically not limited to unstable lesions. In the study by Pundziute et al., mixed calcified plaques were common in both stable and unstable patients, and plaque composition by CTA and IVUS RFA was identical between culprit and non-culprit vessels of ACS patients. It is likely that additional features of individual plaques including inflammatory activity need to be evaluated, using emerging molecular imaging approaches.11

In contrast to focal identification of plaque vulnerability, a systemic assessment of risk relies on the identification of the total number of plaques (plaque burden), their location, and limited morphological features in order to describe disease patterns of the entire coronary tree. CTA has already demonstrated the ability to describe patterns of atherosclerotic disease involvement. In a recent study of patients evaluated for suspected CAD, approximately one-third had no evidence of any disease (absence of plaque and stenosis).12 In 30%, non-calcified coronary plaques were found, which were predominantly associated with coronary calcifications (i.e. mixed plaques) and luminal narrowing of <50%. Exclusively non-calcified plaques were found in 6% of the overall group. About 40% of patients presented with predominantly calcified plaque. Patients with non-calcified and mixed plaques were characterized by significantly higher low-density lipoprotein (LDL) cholesterol and C-reactive protein levels. The prognostic value of these patterns for all-cause mortality has been examined in a cohort of 1127 patients.13 The presence and severity of luminal stenosis and plaque burden were assessed in each coronary segment. An overall CTA score combining stenosis and plaque was constructed similar to the angiographic Duke Coronary Artery Score.14 All-cause mortality over a follow-up period of ~15 months was assessed by the Social Security Death Index. In multivariable analysis, CTA scores measuring plaque/stenosis severity, global plaque extent, plaque distribution, presence of left main or left anterior descending artery plaque, and three-vessel plaque were all independently predictive of death. However, while the presence and distribution of plaque were examined, plaque composition was not part of this analysis.

The current study by Pundziute et al., providing insights into the relationship between plaque characterization with CTA and clinical presentation, suggests that plaque composition could have incremental value and should be included in scoring systems assessing overall risk. In symptomatic intermediate risk populations, where CTA is considered clinically indicated by current consensus guidelines,15 comprehensive assessment of the presence, location, and number of stenoses, but also the location, presence, and characteristics of plaque allow patterns of disease manifestation to be described. These include absence of any disease (absence of plaque and stenosis), non-obstructive disease (presence of plaque/mixed plaque in the absence of significant stenosis), and suspected stenotic disease (presence of plaque and luminal stenosis). These clinical patterns can guide further management, including the need for functional stress testing, cardiac catheterization, and aggressiveness of risk factor modification, but their incremental value needs to be evaluated further in the context of extensive data available from nuclear and echocardiography stress testing, but also CT calcium scoring.16

Conflict of interest: none declared.

Footnotes

The opinions expressed in this article are not necessarily those of the Editors of the European Heart Journal or of the European Society of Cardiology.

{dagger} doi:10.1093/eurheartj/ehn356 Back

References

  1. Garcia MJ, Lessick J, Hoffmann MH. CATSCAN Study Investigators. Accuracy of 16-row multidetector computed tomography for the assessment of coronary artery stenosis. JAMA (2006) 296:403–411.[Abstract/Free Full Text]
  2. Raff GL, Gallagher MJ, O'Neill WW, Goldstein JA. Diagnostic accuracy of noninvasive coronary angiography using 64-slice spiral computed tomography. J Am Coll Cardiol (2005) 46:552–557.[Abstract/Free Full Text]
  3. Achenbach S, Moselewski F, Ropers D, Ferencik M, Hoffmann U, MacNeill B, Pohle K, Baum U, Anders K, Jang IK, Daniel WG, Brady TJ. Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound. Circulation (2004) 109:14–17.[Abstract/Free Full Text]
  4. Cheruvu PK, Finn AV, Gardner C, Caplan J, Goldstein J, Stone GW, Virmani R, Muller JE. Frequency and distribution of thin-cap fibroatheroma and ruptured plaques in human coronary arteries: a pathologic study. J Am Coll Cardiol (2007) 50:940–949.[Abstract/Free Full Text]
  5. Schoenhagen P, Ziada KM, Kapadia SR, Crowe TD, Nissen SE, Tuzcu EM. Extent and direction of arterial remodeling in stable versus unstable coronary syndromes: an intravascular ultrasound study. Circulation (2000) 101:598–603.[Abstract/Free Full Text]
  6. Ehara S, Kobayashi Y, Yoshiyama M, Shimada K, Shimada Y, Fukada D, Nakamura Y, Yamashita H, Yamagishi H, Tekeuchi K, Naruko T, Haze K, Becker AE, Yoshikawa J, Ueda M. Spotty calcification typifies the culprit plaque in patients with acute myocardial infarction: an intravascular ultrasound study. Circulation (2004) 110:3424–3429.[Abstract/Free Full Text]
  7. Nair A, Kuban BD, Tuzcu EM, Schoenhagen P, Nissen SE, Vince DG. Coronary plaque classification with intravascular ultrasound radiofrequency data analysis. Circulation (2002) 106:2200–2206.[Abstract/Free Full Text]
  8. Rodriguez-Granillo GA, García-García HM, Mc Fadden EP, Valgimigli M, Aoki J, de Feyter P, Serruys PW. In vivo intravascular ultrasound-derived thin cap fibroatheroma detection using ultrasound radiofrequency data analysis. J Am Coll Cardiol (2005) 46:2038–2042.[Abstract/Free Full Text]
  9. Pundziute G, Schuijf JD, Jukema JW, Decramer I, Sarno G, Vanhoenacker PK, Boersma E, Reiber JH, Schalij MJ, Wijns W, Bax JJ. Evaluation of plaque characteristics in acute coronary syndromes: non-invasive assessment with multi-slice computed tomography and invasive evaluation with intravascular ultrasound radiofrequency data analysis. Eur Heart J (2008) 29:2373–2381. First published on August 5, 2008. doi:10.1093/eurheartj/ehn356.[Abstract/Free Full Text]
  10. Motoyama S, Kondo T, Sarai M, Sugiura A, Haragaya H, Sato T, Inoue K, Okumura M, Ishii J, Anno H, Virmani R, Ozaki Y, Hishida H, Narula J. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. J Am Coll Cardiol (2007) 50:319–326.[Abstract/Free Full Text]
  11. Hyafil F, Cornily JC, Feig JE, Gordon R, Vucic E, Amirbekian V, Fisher EA, Fuster V, Feldman LJ, Fayad ZA. Noninvasive detection of macrophages using a nanoparticulate contrast agent for computed tomography. Nat Med (2007) 13:636–641.[CrossRef][Medline]
  12. Hausleiter J, Meyer T, Hadamitzky M, Kastrati A, Martinoff S, Schömig A. Prevalence of noncalcified coronary plaques by 64-slice computed tomography in patients with an intermediate risk for significant coronary artery disease. J Am Coll Cardiol (2006) 48:312–318.[Abstract/Free Full Text]
  13. Min JK, Shaw LJ, Devereux RB, Okin PM, Weinsaft JW, Russo DJ, Lippolis NJ, Berman DS, Callister TQ. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol (2007) 50:1161–1170.[Abstract/Free Full Text]
  14. Mark DB, Nelson CL, Califf RM, Harrell FE Jr, Lee KL, Jones RH, Fortin DF, Stack RS, Glower DD, Smith LR. Continuing evolution of therapy for coronary artery disease. Initial results from the era of coronary angioplasty. Circulation (1994) 89:2015–2025.[Abstract/Free Full Text]
  15. Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, Hundley WG, Manning WJ, Printz BF, Stuber M, Woodard PK. Noninvasive coronary artery imaging. Magnetic resonance angiography and multidetector computed tomography angiography. Circulation (2008) 118:586–606.[Free Full Text]
  16. Greenland P, LaBree L, Azen SP, Doherty TM, Detrano RC. Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. JAMA (2004) 291:210–215.[Abstract/Free Full Text]

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?

Related articles in EHJ:

Evaluation of plaque characteristics in acute coronary syndromes: non-invasive assessment with multi-slice computed tomography and invasive evaluation with intravascular ultrasound radiofrequency data analysis
Gabija Pundziute, Joanne D. Schuijf, J. Wouter Jukema, Isabel Decramer, Giovanna Sarno, Piet K. Vanhoenacker, Eric Boersma, Johan H.C. Reiber, Martin J. Schalij, William Wijns, and Jeroen J. Bax
EHJ 2008 29: 2373-2381. [Abstract] [FREE Full Text]  




This Article
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
29/19/2323    most recent
ehn392v1
Right arrow E-letters: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when E-letters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in EHJ
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Schoenhagen, P.
Right arrow Articles by Tuzcu, E. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Schoenhagen, P.
Right arrow Articles by Tuzcu, E. M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?