(Stroke. 1999;30:1807-1813.)
© 1999 American Heart Association, Inc.
Original Contributions |
From the Department of Neurology, University of Heidelberg, Klinikum Mannheim, Mannheim, Germany.
Correspondence to Stephen Meairs, MD, Department of Neurology, University of Heidelberg, Klinikum Mannheim, Theodor-Kutzer-Ufer, 68135 Mannheim, Germany. E-mail meairs{at}neuro.ma.uni-heidelberg.de
| Abstract |
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MethodsFour-dimensional ultrasound examinations of carotid artery plaques were performed in 23 asymptomatic and 22 symptomatic patients with 50% to 90% stenosis of the internal carotid artery. Plaque surface motion during 1 cardiac cycle was computed with a hierarchical model-based motion estimator. Results were compared with plaque echogenicity and surface structure.
ResultsOf the 45 patients examined, plaque surface motion estimates were obtained for 18 asymptomatic and 13 symptomatic patients. There were no significant differences in echogenicity or surface structure of asymptomatic and symptomatic plaques (P>0.05). Results of motion estimation showed that asymptomatic plaques had surface motion vectors of equal orientation and magnitude to those of the internal carotid artery, whereas symptomatic plaques demonstrated evidence of inherent plaque movement. There was no significant difference in maximal plaque velocity between symptomatic and asymptomatic plaques (P<0.14). Maximal discrepant surface velocity (MDSV) in symptomatic plaques was 3.85±1.26 mm/s (mean±SD), which was significantly higher (P<0.001) than MDSV of asymptomatic plaques with 0.58±0.42 mm/s (mean±SD).
ConclusionsMDSV of carotid artery plaques is significantly different in asymptomatic and symptomatic disease. Further studies are warranted to determine whether plaque surface motion patterns can identify vulnerable plaques in patients with carotid artery stenosis.
Key Words: carotid embolism carotid stenosis plaque stroke ultrasonography, 4-D
| Introduction |
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The process of atherosclerotic plaque rupture with superimposed thrombosis is generally considered to play an integral role in acute coronary events and depends more on features of plaque vulnerability than on the degree of stenosis.4 Although the cause of plaque rupture remains unclear, possible mechanisms include tensile stress with stress concentration,5 local hemodynamic turbulence,6 7 and thinning of the plaque cap collagen as a result of enzymatic activity.8 Evidence suggests that plaque rupture may involve features similar to fracture mechanics of simple materials with a mode of failure typical of metals that experience fatigue. Observations on the relative position of fiduciary markers placed along plaque specimens during pressure loading have demonstrated that before plaque fissuring, the markers display asymmetrical movement.9 It is thought that such plaque surface movement may be attributable to deformations resulting from crack propagation of multiple local internal tears in the plaque. Whether such plaque motion phenomena occur in unstable atherosclerotic plaques in vivo is largely unknown. A novel approach to study plaque surface deformations has been recently reported.10 This technique uses 4-dimensional (4-D) ultrasonography to acquire temporal 3-dimensional (3-D) ultrasound data of carotid artery plaques. The ultrasound data are then analyzed with motion detection algorithms to determine apparent velocity fields, also known as optical flow, of the plaque surface. Initial results with the use of this method have suggested differences in plaque motion patterns between patients with symptomatic and asymptomatic carotid artery disease.11 The present study implements this approach to systematically investigate the relevance of plaque surface deformations in patients with carotid stenosis. It also attempts to provide new quantitative parameters for assessment of plaque motion.
| Subjects and Methods |
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4-D Ultrasonography
4-D ultrasound image acquisition was achieved by attaching a
7.0-MHz linear array transducer (Acuson) to a computerized
parallel motor system (Tomtec Imaging Systems), which delivered
equidistant, ECG-gated axial B-mode images of the carotid arteries. To
ensure exact positional movement of the transducer, the motor system
was mounted on a specially designed tripod for multidimensional
ultrasound imaging. The image resolution for all examinations was
constant. Gain settings and focus were adjusted for each patient to
achieve maximal plaque surface definition. A slice thickness of
0.2 mm was chosen to yield near-isovolumetric data sets, each
voxel corresponding to 0.18x0.18x0.2 mm. RGB (red-green-blue)
video signals were digitized in real time at 25 frames per
second, resulting in 16 to 25 frames per cardiac cycle,
depending on heart rate. An ECG was performed directly before the
investigation. All patients were examined in the supine position by the
same investigator. The procedure was repeated 2 times with
repositioning of the parallel motor acquisition system.
Stenosis Grading and Plaque Morphology
Grading of carotid stenosis was performed with the use
of Doppler sonographic criteria established at an international
consensus meeting on grading of carotid
stenosis,14 ie, combined use of direct criteria of
validated threshold maximum systolic velocities,
systolic carotid ratio, area ratio (minimal residual area/total
area), and spectral broadening, as well as indirect
hemodynamic criteria of asymmetry in pulsatility of the
velocity spectra of the common carotid artery, reversed ophthalmic
artery flow, and asymmetry in pulsatility of the middle cerebral
artery. Assessment of plaque morphology was performed with
the use of criteria established at an international consensus meeting
on the morphology and risk of carotid plaques.15
Plaque echogenicity was graded as uniformly anechoic, isoechoic, or
hyperechoic; predominantly anechoic, isoechoic, or hyperechoic; or
unclassifiable calcific. Plaque surface structure was assessed as
smooth, irregular, or ulcerated. Plaque morphology was graded
independently by both authors before motion estimation, one of whom was
blinded to patient clinical status.
Plaque Surface Segmentation and Motion Estimation
For plaque motion analysis, postprocessing of
reconstructed 4-D ultrasonographic data (Figures 1
and 2
)
involved the use of a semiautomatic, gradient edge detection algorithm
to define the plaque surface of the first 3-D volume acquired after the
R wave of the ECG cycle. The resulting voxels of the plaque surface
were then used as initial 3-D coordinates for motion analysis.
To calculate the apparent velocity field, ie, optical flow, of these
surface coordinates, we implemented a nonparametric 3-D
extension of a validated hierarchical motion estimation algorithm
utilizing a minimization of the sum-of-squared differences of
laplacian-filtered pyramid images.16 17 This technique
computes the best representation of the motion field that
aligns a specified 3-D region of interest from one volume frame to the
next. Coarse motion vectors were obtained at a low image resolution and
then were successively refined down to the original image resolution
using Gauss-Newton minimization at each pyramid level. Results of
motion estimation between consecutive frames were propagated, ie,
vector end points were used as starting coordinates for the next 3-D
frame evaluation. The flow estimate at each voxel of interest was
obtained by centering a 7x7x7 cube around this voxel. This empirical
value ensures that at least some volume features corresponding to those
to be found at the coordinates of the best representation of
the motion field will be contained in the cube centered around the
initial voxel coordinates in the sequential volume space to be
analyzed.
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Statistical Analysis
Parameters for evaluation of plaque surface motion
were maximal surface velocity (MSV) and maximal discrepant surface
velocity (MDSV), defined as the maximum of differences between maximal
and minimal surface velocities of successive 3-D frame volumes.
Statistical analysis of MSV and MDSV was performed with the
Student's t test. Measurement reliability was assessed with
error SD and coefficient of variation. Plaque classification was
assessed with the
coefficient of interobserver agreement. Testing
for differences in the mean of distribution of plaque surface structure
and plaque echogenicity was performed with the Mann-Whitney
U test at the 0.05 significance level.
| Results |
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90% stenosis in 4 symptomatic
patients. High carotid bifurcations could not be adequately
imaged in 2 asymptomatic patients. Of the 45
patients examined, plaque surface motion estimates were obtained for 13
symptomatic and 18 asymptomatic patients, the
routine follow-up of whom ranged from 11 to 49 months (mean, 23 months)
before plaque motion analysis. The mean age of
symptomatic patients (8 men and 5 women) was 62.5 years
(SD, ±7.1 years) and of asymptomatic patients (10 men and
8 women) was 63.4 years (SD, ±8.5 years). Risk factor profiles
(hypertension, diabetes, smoking, hyperlipidemia) for
both patient groups were similar (Table
|
The results for plaque morphology in patients with successful plaque
surface motion estimates are presented in the Table
. The
coefficients of interobserver agreement on plaque echogenicity and
on plaque surface structure were acceptable at 0.78 and 0.83,
respectively. Significant differences in these parameters
between asymptomatic and symptomatic patients
were not observed (P>0.05). The number of plaque
ulcerations in both groups (asymptomatic, n=3;
symptomatic, n=4) were similar.
The error SD for repeated measurements of MDSV (0 to 6.3 mm/s) was
±0.18 mm/s with a coefficient of variation of 4%, indicating
good reproducibility of 4-D ultrasonographic plaque surface motion
estimation. Comparison of hierarchical motion estimates of carotid
plaques in asymptomatic and symptomatic
patients revealed significant differences in plaque motion patterns.
Asymptomatic plaques showed a homogeneous
orientation and magnitude of computed velocity vectors corresponding to
a global pattern of arterial motion without evidence of
inherent plaque movement. Symptomatic plaques showed signs
of inherent plaque motion, irrespective of arterial wall
movements. MDSV ranged from 2.1 to 6.3 mm/s (mean, 3.85 mm/s)
in symptomatic plaques. In asymptomatic
plaques, MDSV was significantly lower (P<0.001) and ranged
from 0 to 1.7 mm/s (mean, 0.58 mm/s). Maximal discrepant
motion was observed exclusively during cardiac systole. There was no
significant difference in MSV between symptomatic and
asymptomatic plaques (P<0.14). Figures 3
and 4
illustrate differences in plaque motion characteristics between
asymptomatic and symptomatic patients.
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Clinical follow-up of asymptomatic patients after 6 months revealed no signs or symptoms of carotid artery disease. Plaque progression occurred in only 1 of 18 asymptomatic patients. Eleven of the 13 patients with symptomatic carotid artery disease underwent carotid endarterectomy.
| Discussion |
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The failure of previous attempts to identify relevant plaque features consistent with plaque instability is strong motivation for investigation of new methods to characterize atherosclerotic plaques. This study evaluated the potential of plaque motion patterns to distinguish between asymptomatic and symptomatic carotid artery plaques. To accomplish this goal, we used 4-D ultrasonography, a new technology capable of providing noninvasive, in vivo information on vessel wall geometry and plaque motion with high spatial and temporal resolution. Since the application of motion detection algorithms for analysis of ultrasound data has found increasing acceptance and validation in recent studies,29 we chose to analyze 4-D ultrasonographic data with a nonparametric, model-based hierarchical motion estimator17 to provide a quantitative description of plaque motion.
Our first results with 4-D ultrasonography and optical flow analysis provide evidence that asymptomatic carotid artery plaques may be characterized by homogeneous surface motion vectors reflecting pulsating arterial wall movements undergoing translations and tethering. Absent or minimal inherent plaque surface motion in asymptomatic plaques was associated with plaque stability at a follow-up of 6 months. In patients with symptomatic carotid artery disease, however, we detected focal movement disparities on the plaque surface. We have characterized such plaque deformations in terms of the MDSV between 2 successive 3-D volume frames in the 4-D ultrasonographic data set.
Data for motion estimation were inadequate in patients with extensive
plaque calcification, uniformly anechoic plaque echogenicity, and
severe
90% carotid stenosis. High carotid bifurcations also
presented problems, since the parallel motor system used for
guidance of the ultrasound transducer interfered with the examination
and prohibited adequate imaging. Emerging developments in ultrasound
technology may well improve the success rate for 4-D ultrasonographic
image acquisition to assess carotid plaque motion. As frame rates for
power Doppler imaging increase, the superiority of this technique
for delineation of plaque surfaces30 may become
applicable. Harmonic imaging31 may be another interesting
possibility for improved characterization of plaque morphology.
Likewise, new advances in 3-D ultrasound image acquisition techniques
may prove useful for motion estimation applications. In particular,
those using position and orientation measurement devices capable of
tracking scan heads in 6-DOF are of considerable
interest,32 33 34 35 since they may allow registration of
irregularly sampled ultrasound images obtained from different
perspectives to a regular 3-D volume space, thus potentially maximizing
tissue information that is not readily available from 1 imaging plane
alone. Several investigations indicate that compounding such data would
result in significant improvement in signal-to-noise and speckle
contrast.33 36 37 38 Algorithms for volume reconstruction of
irregularly sampled 6-DOF ultrasonographic data are highly
complex,39 however, and will require further
refinements before they can be applied to 4-D ultrasonographic motion
analysis.
Of considerable interest is the possible complementary role of plaque motion analysis and transcranial Doppler monitoring of high-intensity transient signals (HITS) for identification of vulnerable carotid artery plaques. After the report of HITS during carotid endarterectomy,40 similar signals occurring spontaneously were recorded in patients with symptomatic carotid artery disease.41 42 43 These signals were presumably microembolic signals, since they were documented to disappear after carotid endarterectomy.44 45 46 Patients with asymptomatic carotid stenoses have also demonstrated HITS, but to a much lesser extent than symptomatic stenosis,47 48 49 with a proportion of approximately 1:5. Few data, however, are available on the predictive value of HITS detection in patients with asymptomatic carotid stenosis. Studies aimed at investigating the complementary role of altered plaque motion and transcranial Doppler monitoring of HITS will demand careful attention to the respective timing of serial examinations, since several recent reports have demonstrated the yield of HITS to increase with early and repeated monitoring in symptomatic patients.50 51 Equally important will be adherence to recent guidelines for performing transcranial Doppler HITS monitoring.52
The pathophysiological significance of altered plaque surface motion in symptomatic carotid artery plaques remains to be elucidated. We speculate that such motion patterns are related to a dynamic interaction between plaque geometry, plaque composition, and focal hemodynamic alterations. Of particular interest is whether such changes in plaque surface motion may localize vulnerable areas of the plaque. Analogous to experimental studies on plaque rupture in which pressure loading is used to identify asymmetrical plaque movement before fissuring,9 our identification of similar alterations in vivo suggests that atherosclerotic plaque modeling may involve features similar to fracture mechanics of simple materials with a mode of failure typical of metals that experience fatigue. Further knowledge of the dynamics of crack propagation in carotid plaques may be useful for pathophysiological understanding of plaque vulnerability and carotid plaque embolism. In particular, an analysis of local variations in deformability or stiffness coupled with information on local stress distributions may allow an assessment of relative plaque vulnerability. Since few of the symptomatic plaques showing altered motion actually demonstrated ulcerations, the question arises of whether altered plaque motion alone may contribute to thromboembolism.
As in other studies, differentiation between symptomatic and asymptomatic plaques could not be established with the use of morphological criteria such as plaque echogenicity or surface structure. This deficit underscores the importance of plaque motion as a new parameter for evaluation of carotid artery disease. Whether analysis of plaque motion in patients with carotid artery stenosis may allow detection of motion patterns specific to patients with an increased risk for plaque complications must be addressed in new prospective studies.
| Acknowledgments |
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Received February 19, 1999; revision received June 3, 1999; accepted June 3, 1999.
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