cardiology careers collections past issues search home
     

J Am Coll Cardiol, 2006; 47:207-209, doi:10.1016/j.jacc.2005.10.005 (Published online 9 December 2005).
© 2006 by the American College of Cardiology Foundation
This Article
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
j.jacc.2005.10.005v1
47/1/207    most recent
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 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 Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (10)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ferencik, M.
Right arrow Articles by Achenbach, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ferencik, M.
Right arrow Articles by Achenbach, S.

CORRESPONDENCE: RESEARCH CORRESPONDENCE

Noncalcified and Calcified Coronary Plaque Detection by Contrast-Enhanced Multi-Detector Computed Tomography: A Study of Interobserver Agreement

Maros Ferencik, MD, PhD*, Koen Nieman, MD, PhD and Stephan Achenbach, MD

* Massachusetts General Hospital, Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, Massachusetts 02114 (Email: maros_ferencik{at}hms.harvard.edu).


To the Editor:

Contrast-enhanced multi-detector computed tomography (MDCT) coronary angiography permits reliable visualization of coronary arteries. Recent studies showed a high sensitivity and specificity of 16-slice MDCT for the detection of hemodynamically significant coronary stenosis (1,2). In addition to luminal narrowing, it was early recognized that MDCT also visualizes the diseased coronary arterial wall (3). Two recent studies with 16-slice MDCT showed sensitivity of 75% and 82% and specificity of 88% and 92% to detect coronary plaque using intravascular ultrasound as the standard of reference (4,5). The goal of our study was to establish the interobserver reproducibility of coronary plaque detection by 16-slice MDCT.

We enrolled 45 consecutive patients (37 men; mean age, 56 ± 9 years; mean heart rate during the scan, 55 ± 6 beats/min) who underwent contrast-enhanced MDCT before coronary angiography as part of a research protocol. Patients were scheduled for a clinically indicated invasive coronary angiography. Only patients with a heart rate <65 beats/min were included in the evaluation. Patients with allergic reaction to iodinated contrast, atrial fibrillation, or creatinine serum level >1.5 mg/ml were excluded from the study. The institutional review boards approved the study protocol, and patients’ written informed consents were obtained.

Examinations were performed with a 16-slice MDCT scanner (Siemens, Forchheim, Germany; tube current, 550 mA; tube voltage, 120 kVp; collimation, 16 x 0.75 mm; gantry rotation, 375 ms; contrast, 90 ml iopromide 370 mgI/ml; slice thickness, 1 mm at 0.5-mm intervals; kernel B35f). An oral beta-blocker (atenolol 100 mg) was administered one hour before the scan to 38 (84%) patients with a heart rate >60 beats/min. Sublingual nitroglycerin (glycerol trinitrate 0.8 mg) was administered immediately before the scan. Prospectively, electrocardiographically triggered tube current modulation was applied during all examinations.

The MDCT datasets (axial, multiplanar reformatted, and maximum-intensity projection images) were evaluated by two investigators. Images were initially analyzed at a predefined window and level setting (window, 700 HU; level, 200 HU). Adjustments of the image display setting were performed on the discretion of an observer if deemed necessary.

Investigators visually evaluated images for the presence of plaque in all 17 coronary segments defined by the American Heart Association (6). Previously defined criteria for the evaluation of atherosclerotic plaque in contrast-enhanced MDCT coronary angiography were applied (Fig. 1) (4,5). Coronary artery segments were identified in a consensus reading via side branches. Subsequently, the investigators separately and independently analyzed each coronary segment. They graded the image quality for every segment as excellent (no artifacts), good (minimal motion artifacts and/or increased image noise, but evaluable), or nonevaluable. For each coronary segment with excellent or good image quality, the investigators then decided whether calcified plaque, noncalcified plaque, both, or neither were present in MDCT. Kappa statistic was calculated to determine interobserver agreement.


Figure 1
View larger version (95K):
[in this window]
[in a new window]
 
Figure 1 Maximum-intensity projection images and corresponding cross sections (multiplanar reformatted image) showing coronary plaque (arrows): A and B, noncalcified plaque; C and D, calcified plaque embedded within a noncalcified plaque; E and F, calcified plaque.

 
A total of 735 coronary segments were identified. Fifty coronary segments (46 side branches, 2 mid segments, and 2 distal segments) were deemed nonevaluable by one or both observers. Segments were excluded because of small vessel caliber (n = 45), motion artifacts (n = 4), or incomplete visualization of the posterior descending coronary artery (n = 1).

Coronary plaque was detected in 237 of 685 (34.6%) segments by observer #1 and in 238 of 685 (34.7%) segments by observer #2. Calcified plaque was detected in 158 of 685 (23.1%) segments both by observer #1 and observer #2. Noncalcified plaque was detected in 207 of 685 (30.2%) segments by observer #1 and in 209 of 685 (30.5%) segments by observer #2.

In the segment-based analysis, interobserver agreement was very good for the detection of any coronary plaque (93.1% agreement, {kappa} = 0.85), calcified plaque (97.7%, {kappa} = 0.93), and noncalcified plaque (92.4%, {kappa} = 0.82). Similar results were observed in the per vessel and per patient analysis (Table 1).


View this table:
[in this window]
[in a new window]
 
Table 1. Interobserver Coronary Plaque Detection Agreement Between Observer 1 and Observer 2
 
Interobserver agreement for plaque detection in the proximal coronary segments (proximal right, left main, proximal left anterior descending, and proximal left circumflex coronary arteries) and distal coronary segments (all other segments) was similar: any coronary plaque (91.7%, {kappa} = 0.83, vs. 93.7%, {kappa} = 0.84), calcified plaque (96.1%, {kappa} = 0.92, vs. 98.2%, {kappa} = 0.94), and noncalcified plaque (91.7%, {kappa} = 0.83, vs. 92.7%, {kappa} = 0.79).

The potential value of noninvasive detection, quantification, and characterization of coronary plaque for risk stratification and disease progression monitoring is currently being explored. For these applications, MDCT assessment of coronary plaque would need to be consistent among different observers.

We found very high interobserver reproducibility for the detection of coronary plaque by MDCT. Using four-slice MDCT, Leber et al. (7) reported an interobserver agreement of 79%, 88%, and 70% for the detection of any plaque, calcified plaque, and noncalcified plaque. In our study, corresponding results were 93%, 98%, and 92%. Good agreement was found for both calcified and noncalcified plaque, and could be maintained in both proximal and distal branches.

Limitations of the study include the study population that was pre-selected with stringent exclusion criteria. Also, scans were performed and read by very experienced investigators. Results may therefore not be generalized to less experienced centers and a broader range of patients. The segmental analysis used in the present study is prone to overestimate the diagnostic performance of MDCT. However, it provides the most reliable method for the comparison of readings of two independent observers.

In conclusion, very good interobserver agreement was shown for the detection of both calcified and noncalcified coronary plaque by 16-slice MDCT.


    Footnotes
 
Please note: Dr. Nieman was supported by the Interuniversity Cardiology Institute of the Netherlands, Utrecht, the Netherlands.


    References
 Top
 References
 

  1. Nieman K, Cademartiri F, Lemos PA, Raaijmakers R, Pattynama PM, de Feyter PJ. Reliable noninvasive coronary angiography with fast submillimeter multislice spiral computed tomography Circulation 2002;106:2051-2054.[Abstract/Free Full Text]
  2. Ropers D, Baum U, Pohle K, et al. Detection of coronary artery stenoses with thin-slice multi-detector row spiral computed tomography and multiplanar reconstruction Circulation 2003;107:664-666.[Abstract/Free Full Text]
  3. Schroeder S, Kopp AF, Baumbach A, et al. Noninvasive detection and evaluation of atherosclerotic coronary plaques with multislice computed tomography J Am Coll Cardiol 2001;37:1430-1435.[Abstract/Free Full Text]
  4. Achenbach S, Moselewski F, Ropers D, et al. Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography. A segment-based comparison to intravascular ultrasound Circulation 2004;109:14-17.[Abstract/Free Full Text]
  5. Leber AW, Knez A, Becker A, et al. Accuracy of multidetector spiral computed tomography in identifying and differentiating the composition of coronary atherosclerotic plaquesa comparative study with intracoronary ultrasound. J Am Coll Cardiol 2004;43:1241-1247.[Abstract/Free Full Text]
  6. Austen WG, Edwards JE, Frye RL, et al. A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association Circulation 1975;51:5-40.[Medline]
  7. Leber AW, Knez A, White CW, et al. Composition of coronary atherosclerotic plaques in patients with acute myocardial infarction and stable angina pectoris determined by contrast-enhanced multislice computed tomography Am J Cardiol 2003;91:714-718.[CrossRef][ISI][Medline]



This article has been cited by other articles:


Home page
CirculationHome page
C. M. Kramer
All High-Risk Patients Should Not Be Screened With Computed Tomographic Angiography
Circulation, March 11, 2008; 117(10): 1333 - 1339.
[Full Text] [PDF]


Home page
J Am Coll CardiolHome page
S. B. Yeon, A. Sabir, M. Clouse, P. O. Martinezclark, D. C. Peters, T. H. Hauser, C. M. Gibson, R. Nezafat, D. Maintz, W. J. Manning, et al.
Delayed-Enhancement Cardiovascular Magnetic Resonance Coronary Artery Wall Imaging: Comparison With Multislice Computed Tomography and Quantitative Coronary Angiography
J. Am. Coll. Cardiol., July 31, 2007; 50(5): 441 - 447.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
R. J. Gibbons, P. A. Araoz, and E. E. Williamson
The Year in Cardiac Imaging
J. Am. Coll. Cardiol., December 5, 2006; 48(11): 2324 - 2339.
[Full Text] [PDF]


Home page
JNMHome page
U. Hoffmann, M. Ferencik, R. C. Cury, and A. J. Pena
Coronary CT Angiography
J. Nucl. Med., May 1, 2006; 47(5): 797 - 806.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
j.jacc.2005.10.005v1
47/1/207    most recent
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 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 Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (10)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ferencik, M.
Right arrow Articles by Achenbach, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ferencik, M.
Right arrow Articles by Achenbach, S.

 
  cardiology careers collections past issues search home