(Stroke. 2002;33:2575.)
© 2002 American Heart Association, Inc.
Original Contributions |
From the Structural and Computational Biology and Molecular Biophysics Program (G.J.A.) and Departments of Cell Biology (C.B.B.), Pediatrics (G.W.V.), Medicine (W.I., J.D.M.), and Biochemistry (J.D.M.), Baylor College of Medicine; Heartscan (D.M.S.); and statistical consultant (K.T.K.), Houston, Tex.
Reprint requests to Joel D. Morrisett, PhD, Departments of Medicine and Biochemistry, Baylor College of Medicine, 6565 Fannin, MS601A, Houston, TX 77030. E-mail morriset{at}bcm.tmc.edu
| Abstract |
|---|
|
|
|---|
Methods Fifty pairs of carotid arteries from cadaveric donors (aged 48 to 98 years) were imaged with MRI and electron-beam CT. Thirty-eight of the pairs met the criteria for rigorous analysis. Carotid artery wall volumes were measured from the MRI images, and calcification scores were computed from the electron-beam CT images.
Results Total wall volumes of the left (972.5±241.6 mm3) and right (1016.3±275.0 mm3) carotid arteries were moderately correlated (concordance correlation coefficient [rc]=0.71). Calcification scores were highly correlated, with rc=0.95 for the Agatston scores and rc=0.94 for the calcium volume scores.
Conclusions Total wall volume and plaque calcification in the left and right human carotid arteries are substantially similar. These results suggest that atherosclerosis of the human carotid arteries is generally a bilaterally symmetrical disease. This evidence of symmetry suggests that diagnostic information about atherosclerotic plaque in one carotid artery can be used to infer information about the composition and volume of atherosclerotic plaque in the contralateral artery.
Key Words: atherosclerosis calcium carotid arteries magnetic resonance imaging
| Introduction |
|---|
|
|
|---|
Since different arteries within the same individual are exposed to the same environment, atherosclerotic plaque development might progress at the same rate. However, differences in arterial geometry and flow dynamics could result in different plaque burdens. This question can be examined in paired arterial beds such as the carotid arteries. Solberg et al3 measured the percentage of intimal surface involved with raised atherosclerotic lesion in arterial autopsy samples and found strong correlations within paired arteries, particularly the carotids. Howard et al4 compared carotid intimal-medial thickness measured using B-mode ultrasound in the left and right carotid arteries in the Atherosclerosis Risk in Communities study. The correlations were 0.49 for the common carotid (9386 paired measurements), 0.34 for the bifurcation (5748 paired measurements), and 0.38 for the internal carotid (3202 paired measurements). Vink et al5 examined paired human femoral artery autopsy specimens and found a significant correlation of plaque volume between left and right femoral arteries (r2=0.5). The presence of a large lipid-rich core was also correlated within left and right femoral arteries (
=0.60). The presence of inflammation within the cap and shoulders of the plaque was not correlated within the paired arteries (
=0.067). To determine the symmetry of atherosclerosis in human carotid arteries, we acquired 50 pairs of perfusion-fixed cadaveric human carotid arteries. Perfusion-fixed cadaveric specimens maintain in vivo geometry after excision and are stable over time. Carotid artery volumes can be accurately quantified with the use of high-resolution MRI techniques.6,7 The amount of calcification present within the plaque can be accurately measured with the use of electron-beam computed tomography (EBCT).810
In this study we report the degree of symmetry present in 38 pairs of cadaveric human carotid arteries. This study tests the hypothesis that in intrasubject left and right carotid arteries, the volumes and calcification levels of atherosclerotic plaques are similar as determined by MRI and EBCT. Artery volumes, including total artery, lumen, and total wall volume, were measured by high-resolution MRI. Total wall volume was subdivided into normal wall and plaque volume with the use of an automated estimation algorithm. Plaque calcification was quantified with the use of EBCT.
| Methods |
|---|
|
|
|---|
Magnetic Resonance Imaging
Carotid artery pairs were imaged on a GE Horizon 1.5-T clinical MRI system with the use of UltraImage-Pathway phased-array coils specifically designed for in vivo carotid artery imaging. Two carotid pairs were positioned in a specifically designed and fabricated holder that accommodated four 50-mL plastic culture tubes, each containing 1 artery (Figure 1). This holder was filled with room temperature water and positioned within the MRI scanner with the long axis of the arteries perpendicular to the z axis of the magnet. The MRI parameters are listed in Table 1. Total imaging time was approximately 30 minutes per 2 carotid pairs.
|
|
EBCT Imaging
EBCT was performed with the use of an Imatron C150 clinical system. The imaging parameters used were a 40-cm field of view, slice thickness of 3 mm, and a 512x512 matrix. Twelve pairs of carotid arteries were imaged simultaneously. Both Agatston scores9 and volumetric scores10 for calcification were computed for each sample with the use of AccuImage software. All of the carotid specimens were imaged twice, with an interscan interval of 141 days.
Volume Measurements From MRI
Carotid artery volumes were measured on the MR images with the use of a semiautomatic active contour algorithm11 to define the outer boundary of the artery, which gave the total artery area, and the boundary of the lumen, which gave the lumen area. The measured area was multiplied by the slice thickness to calculate the slice volume. In some cases postmortem clot was present within the lumen of the carotid specimen. The boundary between the clot and the lumen wall was clearly demarcated. The outer boundary of the artery was visible as a continuous dark line on the T2-weighted images. The generalized gradient vector force field12 was used as the external force for the active contour. An anisotropic diffusion filter was used to reduce the noise of the MR images.13,14 To perform a measurement, the operator manually defined an initial contour near the desired boundary, and the active contour algorithm deformed the contour to fit the boundary. A single operator performed all of the measurements. Each sample was measured 3 times on separate days. Total wall volume was defined as the total artery volume minus the lumen volume.
Plaque volume estimation was based on subtracting the estimated normal wall volume from the total wall volume. The normal wall volume for each slice was estimated with the use of the 10th percentile of wall thickness distribution for that slice. The 10th percentile is less affected by variation in the contours caused by image noise than the true minimum. The estimated normal wall thickness from each MRI slice was averaged for the internal, external, and common carotid artery branches to determine an estimate of the normal wall thickness for each branch. Shifting the contour enclosing the entire artery toward the lumen contour by the estimated normal wall thickness generated a contour for the inside of the normal wall. Plaque volume was defined as total wall volume minus normal wall volume. Percent stenosis was defined as the estimated plaque volume divided by the potential lumen volume, which was defined as the observed lumen volume plus the estimated plaque volume.
For comparison purposes, slices in the left and right carotid arteries were coregistered by their distances from the bifurcation of the common carotid into the internal and external carotids. The location of the bifurcation was defined as the most proximal image slice in which the lumens of the internal and external carotid branches were visible as 2 completely separate orifices. Aggregate volumes were computed for 9 contiguous slices bounding the bifurcation (ie, 4 slices above and 5 below). The measurement algorithm is depicted in Figure 2.
|
Statistical Analysis
Descriptive statistics are presented as mean±SD. Variation of the EBCT data from 2 separate imaging sessions was computed as the absolute difference between a pair of measurements divided by the mean of the measurements. The coefficient of variation was used to compute the reproducibility of the 3 replicate MRI volume measurements made on a single set of image data. Average volumes over the 38 sample pairs were computed for each 3-mm slice registered by distance from the bifurcation. Symmetry was evaluated by comparing aggregate artery volumes and calcification scores between the 2 members of each artery pair. Lins concordance correlation coefficients15 (rc) were used to quantify the agreement between left and right carotid artery aggregate volumes and calcification scores within the carotid pairs. The Spearman correlation coefficient (rs) was used to determine the relationship between calcification scores from EBCT and volume measurements from MRI.
| Results |
|---|
|
|
|---|
Slice Volume Profiles
The composite slice volume profiles are presented in Figure 3A to 3E. Volumes within the common carotid branch are largest near the bifurcation and decrease in slices farther from the bifurcation, becoming constant in the slices farthest from the bifurcation. A similar pattern is observed in the internal and external carotid branches. The same pattern is present when displayed as percent stenosis, with the greatest amount of stenosis near the bifurcation (Figure 3F). Average slice volumes of left (dotted lines) and right (solid lines) carotids are similar for all of the measured and estimated volumes at all offsets. At most offsets the average slice volumes of the left carotid are slightly but not substantially smaller than those of the right carotid.
|
Aggregate Volumes and Calcification Scores
The aggregate volumes were computed for 9 contiguous slices bounding the bifurcation of each of the samples in the 38 carotid pairs. The descriptive statistics for the aggregate volumes are presented in Table 2. There was no significant difference between any of the mean volumes of the left and right carotids. The Agatston score and the volumetric score were highly correlated, with a Spearman correlation coefficient of 0.997 for the left samples (n=38) and 0.998 for the right samples (n=38).
|
The concordance correlation coefficients comparing left and right carotid aggregate volumes from MRI and calcification scores from EBCT are presented in Figure 4. The Agatston scores and calcium volume scores of the left and right carotid arteries were highly correlated, with rc=0.95 and rc=0.94, respectively. Total wall volume, which is a surrogate marker for atherosclerotic plaque volume, had the highest concordance correlation coefficient of the MRI volumes, with rc=0.71. The estimated plaque volume had a lower concordance correlation coefficient of rc=0.58.
|
Correlation of Carotid Volumes and Calcification
Volume measurements from the MRI images were compared with Agatston calcification scores from the EBCT images. Lumen volume was not significantly correlated with the amount of calcification: rs=-0.01 for the left and rs=-0.30 for the right. Total wall volume (left rs=0.59, right rs=0.36) and plaque volume (left rs=0.53, right rs=0.34) were moderately correlated on the left but not on the right. Percent stenosis (left rs=0.53, right rs=0.50) was moderately correlated with the Agatston score on both left and right sides.
| Discussion |
|---|
|
|
|---|
The moderate level of symmetry of wall and plaque volumes between left and right carotid arteries suggests that the development of atherosclerosis is partially controlled by systemic factors such as plasma cholesterol levels. The variation between left and right volumes suggests that local factors are also important. Vink et al5 demonstrated that there is very little concordance in plaque inflammatory state between the left and right femoral arteries. Other local factors that may play a role in the asymmetry of atherosclerotic plaque burden include variations in vessel anatomy,17 particularly bifurcation anatomy, and differences in wall shear stress.18
The perfusion-fixed cadaveric carotid artery specimens used in this study provided a stable, convenient ex vivo model for studying human carotid atherosclerosis. Imaging measurements on the specimens were inherently more precise and accurate compared with measurements on patients, since there were no motion artifacts and there was no practical limit on imaging time. Since the specimens were removed en bloc, all 3 layers of the arterial wall and some periadventitial soft tissue were present. In carotid endarterectomy specimens, however, only the intima and a thin layer of the innermost media are usually present.
MRI has been used in single-center clinical trials to track changes in carotid and aortic atherosclerotic plaque burden.19,20 A potential use for the cadaveric tissues is as a reference standard for validating the reproducibility of MRI across multiple centers. If images of the cadaveric specimens could be acquired and processed similarly at different centers with the use of a similar sample holder, the resulting images can be compared directly to determine the reproducibility of the arterial volume measurements and of the image intensities, which indicate different tissue types.
MR and EBCT imaging measurements were performed with clinical scanners. MRI was conducted with the use of the same phased-array coils that we have used for in vivo imaging of human carotids.21 MRI scan time for a single session, during which 2 carotid pairs could be imaged, was approximately 30 minutes. EBCT imaging was much faster, with a scan time per session of approximately 2 to 3 minutes; 12 carotid pairs were imaged per session. Together, MRI and EBCT provided complementary information that neither imaging modality could have provided separately.
Using a semiautomated active contour algorithm to locate the lumen and artery wall boundaries greatly decreased the time required to measure all of the arterial volumes. The plaque estimation algorithm is based on 3 assumptions: (1) the normal wall thickness is the minimum measured wall thickness; (2) the normal wall thickness is constant around the circumference of the artery; and (3) the normal wall thickness is constant within the individual branches of the carotid artery. Using these assumptions and the plaque estimation algorithm, we were able to obtain a reproducible estimate of the volume of plaque present within the carotid artery tissues.
EBCT provided an accurate method for quantifying calcification, an important component of carotid atherosclerotic plaque. Both Agatston and calcium volume scores were calculated. The reproducibility of the calcium volume score was slightly better than that of the Agatston score. The reproducibility of the EBCT calcium scores from this study compared favorably with the variability of calcium scores measured with the use of in vivo imaging of coronary arteries.16
The average slice volume profiles indicate that the average arterial slice volumes are similar in left and right carotids in each individual. The arterial volumes tend to be greatest in slices proximal to the bifurcation and to decrease in slices farther from the bifurcation. All of the aggregate arterial volumes measured by MRI were moderately correlated between left and right carotid arteries. Since aggregate volumes were compared, it is possible that the plaque is distributed differently in the 2 arteries. The same degree of symmetry may not be observed in studies in which angiography is used because that technique is limited to observing only the lumen of the artery. The samples in this study were not acquired from symptomatic patients being evaluated for carotid endarterectomy. That population, which usually has large occlusive plaques, may or may not exhibit the same degree of symmetry.
Calcification was slightly negatively correlated with lumen volume and was moderately correlated with plaque volume and percent stenosis. This implies that increased calcification results in decreased lumen volume and is associated with larger lesions. The relatively low correlation values are partially caused by some samples containing large volumes of uncalcified plaque. Thus, while large amounts of detectable calcification suggest that plaque is present, the absence of calcification does not indicate that plaque is not present. Recent studies have demonstrated that calcification of atherosclerotic plaque is an active, cell-mediated process, with many of the same proteins involved in regulating bone formation present within calcified atherosclerotic plaques.2226 The high correlation between calcification volume in the left and right carotid arteries suggests that calcium deposition may be regulated by systemic factors.
This study compared only arterial volumes and a single plaque component, calcification. A technique that holds high promise for identification and quantification of other plaque components is multispectral MRI. Using concepts adapted from earth satellite imagery, this technique employs multiple contrast images to identify plaque components. Yuan et al27 have demonstrated that multispectral MRI can qualitatively identify lipid-rich necrotic cores within in vivo images of human carotids. The thickness of the fibrous cap overlying the necrotic core can be determined with the use of MRI.28
Another question that this study raises is how atherosclerotic plaque volume in the carotid arteries compares with plaque volume within other arteries. Vink et al5 have shown that atherosclerotic plaque burden is moderately symmetrical in the femoral arteries. The described imaging techniques could be used to quantify arterial volumes in other paired arteries either in vivo or ex vivo if appropriate specimens could be obtained. Thus, lesion symmetry in paired arterial beds, such as the vertebral, renal, popliteal, and femoral arteries, could also be quantified.
| Acknowledgments |
|---|
Received May 24, 2002; revision received June 24, 2002; accepted June 25, 2002.
| References |
|---|
|
|
|---|
2. Glagov S, Bassiouny HS, Sakaguchi Y, Giddens DP, Zarins CK. Cerebrovascular disease: a pathologists view.In: Fuster V, ed. Syndromes of Atherosclerosis: Correlations of Clinical Imaging and Pathology. Armonk, NY: Futura; 1996: 161179.
3. Solberg LA, McGarry PA, Moossy J, Strong JP, Tejada C, Loken AC. Severity of atherosclerosis in cerebral arteries, coronary arteries, and aortas. Ann N Y Acad Sci. 1968; 149: 956973.[Medline] [Order article via Infotrieve]
4. Howard G, Burke GL, Evans GW, Crouse JR, Riley W, Arnett D, de Lacy R, Heiss G. Relations of intimal-medial thickness among sites within the carotid artery as evaluated by B-mode ultrasound. Stroke. 1994; 25: 15811587.[Abstract]
5. Vink A, Schoneveld AH, Richard W, Keijn DPV, Falk E, Borst C, Pasterkamp G. Plaque burden, arterial remodeling, and plaque vulnerability: determined by systemic factors? J Am Coll Cardiol. 2001; 31: 718723.
6. Yuan C, Beach K, Smith LH, Hatsukami TS. Measurement of atherosclerotic plaque size in vivo using high-resolution magnetic resonance imaging. Circulation. 1999; 98: 26662671.
7. Kang X, Pollisar N, Han C, Lin E, Yuan C. Analysis of the measurement precision of arterial lumen and wall areas using high-resolution MRI. Magn Reson Med. 2000; 44: 968972.[CrossRef][Medline] [Order article via Infotrieve]
8. Mautner G, Mautner S, Froehlich J, Feuerstein IM, Proschan MA, Roberts WC, Doppman JL. Coronary artery calcification: assessment with electron beam CT and histomorphometric correlation. Radiology. 1994; 192: 61923.
9. Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990; 15: 827832.[Abstract]
10. Callister TQ, Cooil B, Raya SP, Lippolis NJ, Russo DJ, Raggi P. Coronary artery disease: improved reproducibility of calcium scoring with an electron beam CT volumetric method. Radiology. 1998; 208: 807814.
11. Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. Int J Comput Vision. 1987; 1: 321331.[CrossRef]
12. Xu C, Prince J. Generalized gradient vector flow external forces for active contours. Signal Proc Int J. 1998; 71: 131139.[CrossRef]
13. Gerig G, Kubler O, Kikinis R, Jolesz FA. Nonlinear anisotropic filtering of MRI data. IEEE Trans Med Imag. 1992; 11: 221232.[Medline] [Order article via Infotrieve]
14. Black MJ, Sapiro G, Marimont DH, Heeger D. Robust anisotropic diffusion. IEEE Trans Image Proc. 1998; 7: 421432.[Medline] [Order article via Infotrieve]
15. Lin L. A concordance correlation coefficient to evaluate reproducibility. Biometrics. 1989; 45: 255268.[CrossRef][Medline] [Order article via Infotrieve]
16. Achenbach S, Ropers D, Möhlenkamp S, Schmermund A, Muschiol G, Groth J, Kusus M, Regenfus M, Daniel WG, Erbel R, Moshage W. Variability of repeated coronary artery calcium measurements by electron beam tomography. Am J Cardiol. 2001; 87: 210213.[CrossRef][Medline] [Order article via Infotrieve]
17. Schulz UGR, Rothwell PM. Major variation in carotid bifurcation anatomy: a possible risk factor for plaque development? Stroke. 2001; 32: 25222529.
18. Gnasso A, Irace C, Carallo C, de Franceshi MS, Motti C, Mattioli PL, Pujia A. In vivo association between low wall shear stress and plaque in subjects with asymmetrical carotid atherosclerosis. Stroke. 1997; 28: 993998.
19. Corti R, Fayad ZA, Fuster V, Worthley SG, Helft G, Chesebro J, Mercuri M, Badimon JJ. Effects of lipid-lowering by simvastatin on human atherosclerotic lesions: a longitudinal study by high-resolution, noninvasive magnetic resonance imaging. Circulation. 2001; 104: 249252.
20. Zhao XQ, Yuan C, Hatsukami T, Frechette EH, Kang XJ, Maravilla KR, Brown G. Effects of prolonged intensive lipid-lowering therapy on the characteristics of carotid atherosclerotic plaques in vivo by MRI: a case-control study. Arterioscler Thromb Vasc Biol. 2001; 21: 16231629.
21. Karmonik C, Eldrige C, Vick GW, Insull W, Morrisett JD. Quantitation of atherosclerotic plaque burden in the carotid arteries by magnetic resonance imaging. Am J Cardiol. 2001; 88: 78E.
22. Fitzpatrick LA, Severson A, Edwards WD, Ingram RT. Diffuse calcification in human coronary arteries: association of osteopontin with atherosclerosis. J Clin Invest. 1994; 94: 15971604.[Medline] [Order article via Infotrieve]
23. Canfield AE, Doherty MJ, Kelly V, Newman B, Farrington C, Grant ME, Boot-Handford RP. Matrix Gla protein is differentially expressed during the deposition of a calcified matrix by vascular pericytes. FEBS Lett. 2000; 487: 267271.[CrossRef][Medline] [Order article via Infotrieve]
24. Bostrom K, Tsao D, Shen S, Wang Y, Demer LL. Matrix GLA protein modulates differentiation induced by bone morphogenetic protein-2 in C2H10T1/2 cells. J Biol Chem. 2001; 276: 1404414052.
25. Tintut Y, Patel J, Parhami F, Demer LL. Tumor necrosis factor-
promotes in vitro calcification of vascular cells via the cAMP pathway. Circulation. 2000; 102: 26362642.
26. Dhore CR, Cleutjens JP, Lutgens E, Geusens PP, Kitslaar PJ, Tordoir JH, Spronk HM, Vermeer C, Daemen MJ. Differential expression of bone matrix regulatory proteins in human atherosclerotic plaques. Arterioscler Thromb Vasc Biol. 2001; 21: 19982003.
27. Yuan C, Mitsumori LM, Ferguson MS, Polissar NL, Echelard D, Ortiz G, Small R, Davies JW, Kerwin WS, Hatsukami TS. In vivo accuracy of multispectral magnetic resonance imaging for identifying lipid-rich necrotic cores and intraplaque hemorrhage in advanced carotid plaques. Circulation. 2001; 104: 20512056.
28. Hatsukami TS, Ross R, Polissar NL, Yuan C. Visualization of fibrous cap thickness and rupture in human atherosclerotic plaque in vivo with high-resolution magnetic resonance imaging. Circulation. 2000; 29: 959964.
This article has been cited by other articles:
![]() |
I. Koktzoglou, Y.-C. Chung, T. J. Carroll, O. P. Simonetti, M. D. Morasch, and D. Li Three-dimensional Black-Blood MR Imaging of Carotid Arteries with Segmented Steady-State Free Precession: Initial Experience Radiology, April 1, 2007; 243(1): 220 - 228. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Touze, C. P. Warlow, and P. M. Rothwell Risk of Coronary and Other Nonstroke Vascular Death in Relation to the Presence and Extent of Atherosclerotic Disease at the Carotid Bifurcation Stroke, December 1, 2006; 37(12): 2904 - 2909. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Choudhary, C. L. Higgins, I. Y. Chen, M. Reardon, G. Lawrie, G. W. Vick III, C. Karmonik, D. P. Via, and J. D. Morrisett Quantitation and Localization of Matrix Metalloproteinases and Their Inhibitors in Human Carotid Endarterectomy Tissues Arterioscler Thromb Vasc Biol, October 1, 2006; 26(10): 2351 - 2358. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Saam, J. Cai, L. Ma, Y.-Q. Cai, M. S. Ferguson, N. L. Polissar, T. S. Hatsukami, and C. Yuan Comparison of Symptomatic and Asymptomatic Atherosclerotic Carotid Plaque Features with in Vivo MR Imaging. Radiology, August 1, 2006; 240(2): 464 - 472. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. L. Higgins, S. A. Marvel, and J. D. Morrisett Quantification of Calcification in Atherosclerotic Lesions Arterioscler Thromb Vasc Biol, August 1, 2005; 25(8): 1567 - 1576. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Chu, T. S. Hatsukami, N. L. Polissar, X.-Q. Zhao, L. W. Kraiss, D. L. Parker, J. C. Waterton, J. S. Raichlen, W. Hamar, and C. Yuan Determination of Carotid Artery Atherosclerotic Lesion Type and Distribution in Hypercholesterolemic Patients With Moderate Carotid Stenosis Using Noninvasive Magnetic Resonance Imaging Stroke, November 1, 2004; 35(11): 2444 - 2448. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2002 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |