Abstract
Background
It is still not known how patients who are post-transient ischemic attack (TIA) or post-stroke might benefit from prospectively planned comprehensive cardiac rehabilitation (CCR). In this pilot evaluation of a larger ongoing randomized-controlled-trial, we evaluated ultrasound (US) measurements of carotid atherosclerosis in subjects following TIA or mild non-disabling stroke and their relationship with risk factors before and after 6-months of CCR.
Methods
Carotid ultrasound (US) measurements of one-dimensional intima-media-thickness (IMT), two-dimensional total-plaque-area (TPA), three-dimensional total-plaque-volume (TPV) and vessel-wall-volume (VWV) were acquired before and after 6-months CCR for 39 subjects who had previously experienced a TIA and provided written informed consent to participate in this randomized controlled trial. We maintained blinding for this ongoing study by representing treatment and control groups as A or B, although we did not identify which of A or B was treatment or control. Carotid IMT, TPA, TPV and VWV were measured before and after CCR as were changes in body mass index (BMI), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), systolic blood pressure (SBP) and diastolic blood pressure (DBP).
Results
There were no significant differences in US measurements or risk factors between groups A and B. There was no significant change in carotid ultrasound measurements for group A (IMT, p = .728; TPA, p = .629; TPV, p = .674; VWV, p = .507) or B (IMT, p = .054; TPA, p = .567; TPV, p = .773; VWV, p = .431) at the end of CCR. There were significant but weak-to-moderate correlations between IMT and VWV (r = 0.25, p = .01), IMT and TPV (r = 0.21, p = .01), TPV and TPA (r = 0.60, p < .0001) and VWV and TPV (r = 0.22, p = .02). Subjects with improved TC/HDL ratios showed improved carotid VWV although, this was not statistically significant.
Conclusion
In this preliminary evaluation, there were no significant differences in carotid US measurements in the control or CCR group; a larger sample size and/or longer duration is required to detect significant changes in US or other risk factor measurements.
Keywords: Carotid ultrasound, Comprehensive cardiac rehabilitation, Transient ischemic attack, Ischemic stroke, Three-dimensional ultrasound, Intima-media thickness, Total plaque area, Total plaque volume, Vessel wall volume
Background
Cerebrovascular diseases are one of the leading causes of death worldwide and are estimated to account for 10% of all deaths [1]. In particular, patients who experience a transient ischemic attack (TIA) are at high risk of stroke and have increased mortality rates [2]. Nevertheless, evidence from clinical trials indicates that risks of a subsequent stroke can be reduced [2] and it is clear that earlier diagnosis and intervention are critical for lowering both the immediate and ongoing risk.
Carotid ultrasound (US) provides a direct and cost-effective way to quantify surrogate markers of carotid atherosclerosis [3-5]. A number of US measurements have been developed to monitor the progression and regression of atherosclerosis, including one-dimensional (1D) intima-media thickness (IMT), two-dimensional (2D) total plaque area (TPA) [5], as well as three-dimensional ultrasound (3DUS) total plaque volume (TPV) [6-10] and vessel wall volume (VWV) [7,8,11-15]. Carotid artery IMT has been shown in meta-analyses to weakly predict ischemic stroke events, while progression of IMT does not [16,17]. Measurement of carotid plaque burden using 3DUS carotid TPA or TPV has also been investigated [18,19] and recently [20] progression of TPV was shown to be a significant predictor of outcomes such as TIA, stroke, myocardial infarction and death, whereas progression of IMT was not.
A feasibility study of the effect of comprehensive cardiac rehabilitation (CCR) on patients with a recent TIA or mild non-disabling stroke (MNDS) [21] showed significant improvements after 6 months CCR in total cholesterol (TC), total cholesterol/low-density lipoprotein (TC/LDL), triglycerides (TG), waist circumference (WC), body mass index (BMI) and body weight. There was also a trend towards improved low-density lipoprotein (LDL), systolic blood pressure (SBP) and diastolic blood pressure (DBP) [21]. Unanswered research questions stemming from this important pilot study remain: 1) Does carotid atherosclerosis change during 6 month CCR?, 2) Are potential changes in carotid plaque over the course of CCR correlated with changes in serum biomarkers?, and, 3) Do baseline carotid ultrasound measurements predict changes in US and other risk factors after 6–months CCR?
Our objective was to investigate carotid ultrasound measurements of atherosclerosis in one, two and three-dimensions in a small group of subjects, before and after 6 months of CCR, to evaluate changes over time and to explore potential correlations between stroke risk factors and carotid US measurements. In this proof –of-concept study, our overarching hypothesis was that CCR intervention slowed atherosclerosis progression. Here we directly tested the hypothesis that after 6-months CCR, there would be significantly improved US measurements of carotid atherosclerosis in subjects with improved cardiovascular risk, measured using their serum lipid profile.
Methods
Inclusion and exclusion criteria
All thirty-nine subjects provided written informed consent to 3DUS as part of an ongoing, two-site (London, n = 60 and Ottawa, n = 37) randomized controlled trial of 6-months of CCR following TIA. The study protocol was approved by Health Sciences Research Ethics Board, The University of Western Ontario London Canada. Briefly, subjects with a documented TIA or a MNDS within the previous 3 months were recruited. Subjects were at least 20 years of age, spoke and understood English, and also had one or more of the following risk factors: hypertension, diabetes mellitus, dyslipidemia, ischemic heart disease or cigarette smoking within the past year. In addition, subjects who were unable to perform CCR exercises or had already participated in CCR were not enrolled. Subjects were excluded from analyses if they did not have carotid US images with sufficient image quality to perform IMT, TPA, TPV or VWV measurements.
Intervention
A detailed description of the CCR intervention was previously reported [21]. Briefly, a two-hour orientation session led by a nurse case manager was undertaken for subjects who provided consent [21]. The orientation session provided risk factor education, screening with the Hospital Anxiety & Depression Scale [22] and a quality of life evaluation using the SF-12 Health Survey [23]. Subjects were also advised on smoke cessation and after a 12 hour overnight fast, tested for lipids and fasting blood glucose [21]. Prior to CCR, medical and risk factor assessment was performed [21] and subjects were provided a choice of CCR intervention -on-site exercise twice weekly for 50 sessions with complementary in-home exercise at least 2 days a week, or in-home exercise at least 4 days a week with monthly follow-up by telephone or on-site [21].
Data acquisition
Carotid artery 3DUS was acquired with a high resolution B-mode ultrasound system (ATL HDI 5000; Philips, Bothel, WA, USA) and an 8.5 MHz transducer (Philips) at the Stroke Prevention & Atherosclerosis Research Centre in London, Canada as previously described [24]. To briefly summarize, the US transducer was manually placed on the neck and then moved along a 5 cm section of the neck mechanically, acquiring a series of 2D images that were reconstructed into a 3D volume. To obtain high quality images, the sonographer optimized the imaging parameters of the system for each subject independently. At baseline (BL) and follow-up (FU), 3DUS volumes of the left and right carotid artery were acquired and archived for measurements made offline.
Intima media thickness
IMT measurements (ICC = 0.95) [7] were performed by a single observer as previously described [4]. A single observer who was blinded to subject identity and time-point generated a single 2D longitudinal view of the carotid artery from the 3DUS image. The resultant 2D image was segmented and evaluated using Prowin 24.0 (Medical Technologies International Inc, Palm Desert, CA, USA) previously developed and validated [25]. IMT was measured five times for each carotid side and the mean measurements were averaged to provide a value for the left and right carotid artery for each subject.
3DUS Total plaque area
TPA measurements were generated in real-time by an experienced sonographer (ICC = 0.94) [5] at the time of the 3DUS image acquisition using the trackball of the ultrasound system as previously described [5]. Briefly, the transducer was positioned to obtain a longitudinal view of the plaque at its greatest footprint in the image volume. The outer boundaries of each individual plaque was segmented manually in that plane and all plaque areas were summed to generate a TPA measurement for the left and right carotid artery for each subject. The sonographer was blinded to treatment status and previous TPA measurements at the follow-up scanning session.
3DUS Total plaque volume
A single observer (the same for IMT, TPV and VWV) also generated TPV (ICC = 0.85) [8] for BL and FU images. Randomized and blinded BL and FU images were simultaneously displayed on adjacent monitors to ensure identification of the same plaque in images at both time-points. For the generation of TPV measurements, custom-built software tools previously described [26] were used for evaluation of carotid plaque identified within 10 mm distal to the bifurcation in the common carotid artery (CCA) and 5 mm proximal to the BF in the internal carotid artery (ICA). TPV for each individual was calculated by summing the volume of individual plaques within the left and right carotid arteries.
3DUS Vessel wall volume
The same single observer evaluated blinded BL and FU images for 3DUS VWV using a semi-automated segmentation method (ICC = 0.95) [8], previously described [15]. Briefly, the media-adventitia boundary (MAB) and the lumen-intima boundary (LIB) were manually segmented in 11 slices of the CCA and 6 slices of the ICA with an inter-slice distance of 1 mm [24]. Using the inter-slice distance and the areas enclosed by the MAB and LIB in each slice, the volumes between slices were calculated. Measurements of the left and right sides were summed together to obtain a VWV for each individual.
Statistical analysis
Since our analysis is part of a larger ongoing randomized control trial, the CCR and control subject data were kept blinded and named as group A or B in order to eliminate the potential for bias in future analyses. Statistical analysis was performed using IBM SPSS Statistics for Windows v20 (IBM Corp, Armonk, NY, USA 2011) and GraphPad Prism for Windows, v6.02 (GraphPad Software, La Jolla, CA, USA). The Shapiro-Wilk test was used to assess for normality of samples. Student’s parametric t-tests were performed to assess baseline differences between groups A and B, to detect any differences between BL and FU ultrasound measurements, and to detect any differences in US measurements between groups A and B after the treatment period. In the case of non-parametric samples, the Mann–Whitney test was used to assess differences. Changes in plaque burden over the course of CCR, regardless of group assignment, were determined for subjects with an improved lipid profile using Student’s t-test, and Spearman correlations between carotid plaque burden and risk factors were determined. Results were considered significant when the probability of making a type I error was less than 5% (p < .05). The Holm-Bonferroni correction was used for multiple comparisons.
Results
Subject characteristics
Table 1 provides a summary of the baseline study characteristics for all 39 enrolled subjects. In Table 2, a subject listing for all 39 subjects is provided with BL and FU ultrasound and demographic measurements. Mean age was 65 ± 10 years, and there were no significant differences between group A and group B. The CCR and control therapy period was 223 (±66) days.
Table 1.
|
All evaluated |
Evaluated by group |
|||||
---|---|---|---|---|---|---|---|
|
Group A |
Group B |
p
|
||||
n | Mean (SD) | n | Mean (SD) | n | Mean (SD) | ||
Age year (±SD) |
39 |
65 (10) |
19 |
64 (10) |
20 |
66 (11) |
1.00 |
BMI kg/m2 (±SD) |
39 |
28 (4) |
19 |
29 (4) |
20 |
26 (4) |
0.07 |
TC mmol/L (±SD) |
39 |
4.24 (1.23) |
19 |
4.10 (1.13) |
20 |
4.37 (1.33) |
1.00 |
HDL mmol/L (±SD) |
39 |
1.34 (0.46) |
19 |
1.29 (0.35) |
20 |
1.38 (0.55) |
1.00 |
LDL mmol/L (±SD) |
39 |
2.28 (0.97) |
19 |
2.21 (0.95) |
20 |
2.35 (1.00) |
1.00 |
TG mmol/L (±SD) |
39 |
1.35 (0.67) |
19 |
1.29 (0.52) |
20 |
1.41 (0.79) |
1.00 |
SBP mmHg (±SD) |
39 |
125 (13) |
19 |
124 (14) |
20 |
125 (11) |
0.99 |
DBP mmHg (±SD) |
39 |
74 (10) |
19 |
77 (10) |
20 |
71 (10) |
0.41 |
IMT mm (±SD) |
36 |
0.762 (0.133) |
17 |
0.785 (0.121) |
19 |
0.742 (0.142) |
1.00 |
TPA cm2 (±SD) |
36 |
1.12 (1.25) |
19 |
1.05 (1.64) |
17 |
1.19 (0.64) |
1.00 |
TPV mm3 (±SD) |
32 |
100 (101) |
14 |
55 (60) |
18 |
137 (115) |
0.20 |
VWV mm3 (±SD) | 29 | 929 (193) | 13 | 972 (234) | 16 | 894 (152) | 1.00 |
BMI = body mass index; TC = total cholesterol; HDL = high density lipoprotein; LD = low density lipoprotein; TG = triglycerides; SBP = systolic blood pressure; DBP = diastolic blood pressure; IMT = intima-media thickness; TPA = total plaque area; TPV = total plaque volume; VWV = vessel wall volume.
Table 2.
Sub.num. | Group | Sex | Ageyrs | BMI BLkg/m 2 | TC BL mmol/L | TG BL mmol/L | HDL BL mmol/L | LDL BLmmol/L | SBP BL mmHg | DBP BL mmHg | IMT BLmm | IMT FUmm | TPA BLcm 2 | TPA FUcm 2 | TPV BLmm 3 | TPV FUmm 3 | VWV BLmm 3 | VWV FUmm 3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 |
A |
M |
54 |
32.5 |
4.8 |
0.71 |
1.5 |
2.98 |
124 |
80 |
0.670 |
0.644 |
0.00 |
0.00 |
0 |
0 |
1040 |
1006 |
2 |
B |
M |
59 |
29.1 |
4.0 |
2.50 |
0.8 |
2.12 |
122 |
76 |
0.655 |
0.62 |
0.92 |
0.73 |
106 |
132 |
846 |
725 |
3 |
B |
F |
45 |
24.2 |
4.9 |
0.70 |
2.2 |
2.40 |
146 |
82 |
0.658 |
0.728 |
0.03 |
0.03 |
23 |
0 |
591 |
613 |
4 |
A |
F |
61 |
24.9 |
3.6 |
0.58 |
2.0 |
1.37 |
112 |
80 |
0.641 |
0.705 |
0.15 |
0.10 |
26 |
25 |
776 |
789 |
5 |
B |
F |
60 |
33.8 |
3.9 |
1.17 |
0.8 |
2.51 |
118 |
62 |
0.526 |
0.622 |
1.37 |
n/a |
135 |
130 |
906 |
912 |
6 |
A |
M |
56 |
30.6 |
3.9 |
1.75 |
1.0 |
2.03 |
128 |
78 |
0.762 |
0.679 |
1.41 |
1.75 |
n/a |
n/a |
n/a |
n/a |
7 |
A |
F |
63 |
32.7 |
6.5 |
2.18 |
1.4 |
4.17 |
130 |
80 |
n/a |
n/a |
0.29 |
0.26 |
n/a |
n/a |
n/a |
n/a |
8 |
B |
F |
41 |
19.8 |
6.4 |
0.80 |
2.4 |
3.59 |
110 |
50 |
0.514 |
0.536 |
0.29 |
0.33 |
0 |
0 |
709 |
670 |
9 |
B |
M |
61 |
27.9 |
6.1 |
1.98 |
1.5 |
3.72 |
140 |
80 |
n/a |
n/a |
1.98 |
1.97 |
n/a |
n/a |
n/a |
n/a |
10 |
B |
M |
77 |
21.8 |
3.5 |
0.59 |
1.4 |
1.79 |
139 |
58 |
0.953 |
0.932 |
1.24 |
1.68 |
479 |
472 |
1007 |
1055 |
11 |
A |
M |
68 |
29.5 |
4.0 |
1.88 |
1.0 |
2.11 |
150 |
76 |
0.969 |
0.86 |
0.52 |
0.61 |
100 |
83 |
1534 |
1548 |
12 |
B |
F |
82 |
27.4 |
4.7 |
1.44 |
1.8 |
2.24 |
120 |
70 |
0.792 |
0.847 |
1.22 |
1.30 |
132 |
150 |
786 |
936 |
13 |
A |
M |
71 |
27.6 |
5.0 |
0.99 |
2.2 |
2.43 |
150 |
86 |
0.902 |
0.855 |
1.52 |
1.47 |
115 |
82 |
985 |
1030 |
14 |
B |
F |
69 |
27.4 |
5.2 |
1.83 |
1.4 |
2.94 |
122 |
56 |
0.740 |
0.894 |
n/a |
1.61 |
137 |
156 |
1206 |
1215 |
15 |
B |
F |
73 |
22.3 |
4.5 |
1.39 |
1.6 |
2.26 |
136 |
80 |
0.606 |
0.732 |
0.53 |
0.39 |
24 |
17 |
n/a |
n/a |
16 |
A |
M |
51 |
24.3 |
4.7 |
1.09 |
1.3 |
2.93 |
118 |
80 |
0.657 |
0.651 |
0.11 |
0.09 |
0 |
0 |
976 |
916 |
17 |
A |
F |
75 |
33.6 |
3.1 |
1.82 |
1.1 |
1.18 |
122 |
66 |
0.804 |
0.666 |
0.13 |
0.38 |
0 |
0 |
1112 |
1089 |
18 |
B |
M |
64 |
29.7 |
6.0 |
3.84 |
1.3 |
2.93 |
140 |
68 |
0.720 |
0.956 |
1.58 |
n/a |
154 |
122 |
1112 |
1023 |
19 |
B |
M |
64 |
29.0 |
5.4 |
2.25 |
0.8 |
3.55 |
118 |
76 |
0.829 |
0.669 |
0.94 |
0.98 |
9 |
14 |
876 |
924 |
20 |
A |
F |
66 |
34.3 |
4.6 |
0.99 |
1.3 |
2.79 |
110 |
75 |
0.865 |
0.744 |
0.32 |
0.35 |
n/a |
n/a |
n/a |
n/a |
21 |
A |
M |
56 |
32.0 |
4.2 |
0.81 |
1.3 |
2.51 |
110 |
80 |
0.655 |
0.671 |
0.29 |
0.30 |
107 |
92 |
1172 |
1187 |
22 |
B |
M |
68 |
28.4 |
5.2 |
1.06 |
0.9 |
3.83 |
124 |
82 |
0.669 |
0.757 |
1.53 |
1.84 |
189 |
208 |
868 |
807 |
23 |
A |
M |
68 |
28.1 |
4.9 |
2.05 |
0.9 |
3.01 |
140 |
90 |
0.736 |
0.851 |
0.61 |
0.51 |
0 |
0 |
815 |
848 |
24 |
A |
M |
75 |
28.3 |
2.7 |
1.20 |
0.9 |
1.29 |
115 |
61 |
0.834 |
0.926 |
1.91 |
2.41 |
n/a |
n/a |
n/a |
n/a |
25 |
B |
F |
77 |
20.5 |
4.8 |
0.81 |
2.4 |
2.02 |
118 |
60 |
0.662 |
0.636 |
1.76 |
1.39 |
192 |
185 |
1006 |
1069 |
26 |
A |
F |
82 |
31.5 |
6.0 |
1.61 |
1.5 |
3.77 |
142 |
84 |
n/a |
n/a |
0.38 |
0.31 |
0 |
0 |
1074 |
1104 |
27 |
A |
M |
52 |
26.0 |
4.5 |
1.61 |
1.7 |
2.04 |
130 |
90 |
0.740 |
0.81 |
0.92 |
0.78 |
29 |
30 |
n/a |
n/a |
28 |
A |
M |
62 |
24.1 |
2.0 |
1.32 |
1.0 |
0.30 |
104 |
50 |
0.942 |
0.925 |
7.37 |
6.60 |
n/a |
n/a |
n/a |
n/a |
29 |
B |
M |
71 |
23.9 |
2.4 |
0.60 |
1.0 |
1.10 |
130 |
80 |
0.949 |
1.107 |
2.24 |
2.18 |
n/a |
n/a |
n/a |
n/a |
30 |
A |
F |
57 |
34.0 |
3.1 |
0.64 |
1.1 |
1.69 |
120 |
80 |
0.999 |
0.904 |
0.98 |
1.11 |
57 |
86 |
688 |
737 |
31 |
B |
M |
61 |
27.4 |
1.9 |
0.72 |
0.7 |
0.82 |
110 |
80 |
0.718 |
0.822 |
1.06 |
1.00 |
217 |
254 |
834 |
889 |
32 |
A |
M |
80 |
21.9 |
2.7 |
0.76 |
1.3 |
1.07 |
100 |
70 |
0.661 |
0.687 |
1.64 |
1.47 |
176 |
180 |
702 |
629 |
33 |
B |
F |
80 |
20.5 |
2.6 |
0.88 |
1.3 |
0.85 |
110 |
60 |
1.044 |
0.914 |
0.79 |
0.48 |
17 |
26 |
774 |
814 |
34 |
B |
M |
77 |
26.4 |
3.0 |
1.20 |
1.4 |
0.97 |
110 |
70 |
0.902 |
0.823 |
1.38 |
0.91 |
215 |
205 |
917 |
953 |
35 |
B |
M |
59 |
24.8 |
2.7 |
1.40 |
0.8 |
1.28 |
128 |
76 |
0.770 |
0.829 |
1.04 |
0.65 |
97 |
81 |
1015 |
948 |
36 |
A |
M |
61 |
28.9 |
3.8 |
0.79 |
1.3 |
2.14 |
130 |
80 |
0.847 |
0.973 |
1.16 |
1.71 |
132 |
135 |
1005 |
829 |
37 |
A |
F |
50 |
32.1 |
3.9 |
1.66 |
1.0 |
2.18 |
130 |
80 |
0.658 |
0.669 |
0.27 |
0.37 |
27 |
34 |
752 |
765 |
38 |
B |
M |
65 |
30.2 |
5.1 |
1.40 |
2.1 |
2.36 |
124 |
78 |
0.685 |
0.823 |
0.89 |
0.91 |
103 |
107 |
851 |
996 |
39 | B | M | 63 | 20.8 | 5.4 | 1.62 | 1.0 | 3.64 | 126 | 66 | 0.712 | 0.778 | 2.36 | 2.79 | 238 | 228 | n/a | n/a |
Carotid ultrasound measurements
Figure 1 shows carotid artery IMT, TPV, and VWV images and measurements for three representative subjects at BL and after six months FU. Subject 1 is a 68 year old male from group A with decreased right carotid artery IMT (0.182 mm) and TPV (20 mm3), but a slightly increased VWV (10 mm3). Subject 2, is a 77 year old male from group B with minimal changes in TPV and VWV of the right carotid over the CCR period. In contrast Subject 3, a 61 year old male from group B, showed an increase in right carotid IMT (0.138 mm), TPV (30 mm3) and VWV (40 mm3).
Table 3 summarizes the BL and FU carotid ultrasound measurements for groups A and B; there were no significant differences for IMT, TPA, TPV and VWV after CCR. In Figure 2, correlations are shown for ultrasound measurements for all subjects. Modest but significant correlations were observed for VWV and IMT (r = 0.25, p = .01), TPV and IMT (r = 0.21, p = .01), TPV and TPA, (r = 0.60, p < .0001) and finally for VWV and TPV (r = 0.22, p = .02) for all left and right carotid sides. There were similar findings for right (R) (VWV and IMT, r = 0.36, p = .01; TPV and IMT, r = 0.28, p = .02; TPV and TPA, r = 0.61, p < .0001; VWV and TPV, r = 0.27, p = .04), and left (L) (TPA and TPV; r = 0.68, p < .0001) carotid artery measurements. Significant correlations were also observed for all males only between TPV and TPA (r = 0.56, p < .0001). For females only, significant correlations were also observed between TPV and TPA (r = 0.83, p < .0001) and between VWV and TPV(r = 0.47, p = .001).
Table 3.
Measurement (±SD) |
Group A |
Group B |
||||||||
---|---|---|---|---|---|---|---|---|---|---|
n | BL | FU | Total diff. | p | n | BL | FU | Total diff. | p | |
IMT (mm) |
17 |
0.785 (0.121) |
0.778 (0.115) |
-0.007 (0.083) |
0.728 |
19 |
0.742 (0.142) |
0.791 (0.140) |
0.048 (0.103) |
0.054 |
TPA (cm2) |
19 |
1.05 (1.64) |
1.08 (1.50) |
0.03 (0.28) |
0.629 |
17 |
1.19 (0.64) |
1.15 (0.74) |
-0.04 (0.27) |
0.567 |
TPV (mm3) |
14 |
55 (60) |
53 (57) |
-2 (14) |
0.674 |
18 |
137 (115) |
138 (116) |
1 (18) |
0.773 |
VWV (mm3) | 13 | 972 (234) | 960 (241) | -12 (62) | 0.507 | 16 | 894 (152) | 909 (156) | 15 (76) | 0.431 |
TPA = total plaque area; IMT = intima media thickness; TPV = total plaque volume; VWV = vessel wall volume; BL = baseline; FU = follow-up.
Total IMT is calculated by taking the mean between the left (L) and right (R) sides. Total TPA, TPV and VWV is the sum of the L and R sides.
Risk factors and carotid US measurements
Table 4 provides a summary of baseline carotid ultrasound measurements correlations with their change and the change in risk factors after completion of the 6-month treatment period. There were no significant correlations between any of the US measurements and change in risk factors. As shown in Table 5, there were no significant correlations for the change in US measurements and the change in risk factors. Furthermore, as shown in Table 6 there were no significant differences for the change in US measurements over time, between subjects with improved and unchanged TC/HDL ratios.
Table 4.
Risk factors |
|
IMT (mm) |
|
TPA (cm
2
) |
|
TPV (mm
3
) |
|
VWV (mm
3
) |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
n | r | p | n | r | p | n | r | p | n | r | p | |
|
Group A |
|||||||||||
∆ IMT (mm) |
17 |
-0.44 |
0.88 |
17 |
0.23 |
1.00 |
13 |
0.17 |
1.00 |
12 |
-0.30 |
1.00 |
∆ TPA (cm2) |
17 |
0.24 |
1.00 |
19 |
-0.10 |
1.00 |
14 |
0.06 |
0.85 |
13 |
0.24 |
1.00 |
∆ TPV (mm3) |
13 |
0.08 |
0.79 |
14 |
0.22 |
1.00 |
14 |
0.07 |
1.00 |
13 |
-0.64 |
0.15 |
∆ VWV (mm3) |
12 |
0.34 |
1.00 |
13 |
0.25 |
1.00 |
13 |
-0.10 |
1.00 |
13 |
-0.04 |
0.91 |
∆ BMI (kg/m2) |
16 |
-0.15 |
1.00 |
18 |
0.35 |
1.00 |
13 |
0.27 |
1.00 |
12 |
-0.21 |
1.00 |
∆ TC (mmol/L) |
16 |
0.25 |
1.00 |
18 |
0.31 |
1.00 |
13 |
0.09 |
1.00 |
12 |
-0.45 |
1.00 |
∆ HDL (mmol/L) |
16 |
0.20 |
1.00 |
18 |
0.39 |
1.00 |
13 |
0.26 |
1.00 |
12 |
-0.34 |
1.00 |
∆ LDL (mmol/L |
16 |
0.11 |
1.00 |
18 |
0.06 |
0.82 |
13 |
-0.15 |
1.00 |
12 |
-0.29 |
1.00 |
∆ TG (mmol/L) |
16 |
0.30 |
1.00 |
18 |
0.46 |
0.58 |
13 |
0.40 |
1.00 |
12 |
-0.21 |
1.00 |
∆ SBP (mmHg) |
16 |
-0.10 |
1.00 |
18 |
-0.10 |
1.00 |
13 |
-0.14 |
1.00 |
12 |
-0.12 |
1.00 |
∆ DBP (mmHg) |
16 |
0.13 |
1.00 |
18 |
-0.06 |
1.00 |
13 |
-0.32 |
1.00 |
12 |
0.63 |
0.30 |
|
Group B |
|||||||||||
∆ IMT (mm) |
19 |
-0.21 |
1.00 |
16 |
0.06 |
1.00 |
18 |
0.18 |
1.00 |
16 |
0.26 |
1.00 |
∆ TPA (cm2) |
16 |
-0.01 |
0.98 |
17 |
0.13 |
1.00 |
15 |
0.20 |
1.00 |
13 |
-0.18 |
1.00 |
∆ TPV (mm3) |
18 |
0.01 |
1.00 |
15 |
0.04 |
0.88 |
18 |
-0.01 |
0.96 |
16 |
-0.31 |
1.00 |
∆ VWV (mm3) |
16 |
0.35 |
1.00 |
13 |
0.22 |
1.00 |
16 |
0.14 |
1.00 |
16 |
-0.22 |
1.00 |
∆ BMI (kg/m2) |
19 |
-0.33 |
1.00 |
17 |
-0.54 |
0.30 |
18 |
-0.52 |
0.29 |
16 |
-0.06 |
1.00 |
∆ TC (mmol/L) |
19 |
-0.18 |
1.00 |
17 |
0.15 |
1.00 |
18 |
0.28 |
1.00 |
16 |
-0.01 |
0.99 |
∆ HDL (mmol/L) |
19 |
0.20 |
1.00 |
17 |
0.06 |
1.00 |
18 |
-0.08 |
1.00 |
16 |
0.03 |
1.00 |
∆ LDL (mmol/L |
19 |
-0.30 |
1.00 |
17 |
0.06 |
1.00 |
18 |
0.24 |
1.00 |
16 |
-0.01 |
1.00 |
∆ TG (mmol/L) |
19 |
-0.24 |
1.00 |
17 |
0.16 |
1.00 |
18 |
0.34 |
1.00 |
16 |
-0.01 |
1.00 |
∆ SBP (mmHg) |
19 |
0.05 |
1.00 |
17 |
0.14 |
1.00 |
18 |
0.14 |
1.00 |
16 |
-0.07 |
1.00 |
∆ DBP (mmHg) | 19 | -0.33 | 1.00 | 17 | -0.10 | 1.00 | 18 | 0.02 | 1.00 | 16 | 0.27 | 1.00 |
BMI = body mass index; TC = total cholesterol; HDL = high density lipoprotein; LDL = low density lipoprotein; TG = triglycerides; SBP = systolic blood pressure; DBP = diastolic blood pressure; IMT = intima-media thickness; TPA = total plaque area; TPV = total plaque volume; VWV = vessel wall volume; ∆, Delta = FU-BL.
Table 5.
Change in risk factors |
∆IMT (mm) |
∆TPA (cm
2
) |
∆TPV (mm
3
) |
∆VWV (mm
3
) |
||||
---|---|---|---|---|---|---|---|---|
r | p | r | p | r | p | r | p | |
|
Group A |
|||||||
|
n = 16 |
n = 18 |
n = 13 |
n = 12 |
||||
∆ BMI (kg/m2) |
0.48 |
0.45 |
0.27 |
1.00 |
0.21 |
0.99 |
0.16 |
1.00 |
∆ TC (mmol/L) |
-0.10 |
0.71 |
0.00 |
1.00 |
0.33 |
1.00 |
0.19 |
1.00 |
∆ HDL (mmol/L) |
-0.23 |
1.00 |
0.13 |
1.00 |
0.46 |
0.81 |
0.07 |
1.00 |
∆ LDL (mmol/L |
-0.18 |
1.00 |
0.14 |
1.00 |
0.21 |
1.00 |
0.17 |
1.00 |
∆ TG (mmol/L) |
0.21 |
1.00 |
-0.03 |
1.00 |
0.06 |
0.85 |
0.28 |
1.00 |
∆ SBP (mmHg) |
-0.19 |
1.00 |
-0.11 |
1.00 |
0.28 |
1.00 |
-0.04 |
0.91 |
∆ DBP (mmHg) |
-0.39 |
0.83 |
0.06 |
1.00 |
-0.44 |
0.71 |
-0.12 |
1.00 |
|
Group B |
|||||||
|
n = 19 |
n = 17 |
n = 18 |
n = 16 |
||||
∆ BMI (kg/m2) |
-0.19 |
1.00 |
-0.26 |
1.00 |
0.02 |
1.00 |
-0.17 |
1.00 |
∆ TC (mmol/L) |
0.23 |
1.00 |
-0.11 |
1.00 |
-0.21 |
1.00 |
-0.30 |
0.76 |
∆ HDL (mmol/L) |
0.15 |
1.00 |
-0.08 |
1.00 |
0.02 |
0.95 |
-0.31 |
0.95 |
∆ LDL (mmol/L |
0.25 |
1.00 |
-0.23 |
1.00 |
-0.30 |
1.00 |
-0.35 |
0.92 |
∆ TG (mmol/L) |
0.14 |
1.00 |
0.30 |
1.00 |
-0.05 |
1.00 |
0.11 |
0.69 |
∆ SBP (mmHg) |
0.02 |
0.93 |
-0.46 |
0.44 |
0.05 |
1.00 |
0.40 |
0.74 |
∆ DBP (mmHg) | 0.55 | 0.11 | 0.06 | 0.82 | -0.46 | 0.38 | -0.44 | 0.60 |
BMI = body mass index; TC = total cholesterol; HDL = high density lipoprotein; LDL = low density lipoprotein; TG = triglycerides; SBP = systolic blood pressure; DBP = diastolic blood pressure; IMT = intima-media thickness; TPA = total plaque area; TPV = total plaque volume; VWV = vessel wall volume; ∆, Delta = FU-BL.
Table 6.
Ultrasound measurements |
Improved TC/HDL |
Not improved TC/HDL |
p
|
||
---|---|---|---|---|---|
n | Mean (SD) | n | Mean (SD) | ||
∆IMT (mm) |
23 |
0.001 (0.110) |
12 |
0.065 (0.051) |
0.28 |
∆TPA (cm2) |
22 |
0 (0.25) |
13 |
0 (0.33) |
0.87 |
∆TPV (mm3) |
20 |
1 (18) |
11 |
-1(12) |
1.00 |
∆VWV (mm3) | 19 | -9 (67) | 9 | 37 (73) | 1.00 |
BL = baseline; FU = follow-up; IMT = intima-media thickness; TPA = total plaque area; TPV = total plaque volume; VWV = vessel wall volume; TC = total cholesterol; HDL = high density lipoprotein; ∆, Delta = FU-BL.
Discussion
Our goal was to investigate the potential changes in carotid atherosclerosis in subjects who had enrolled in a randomized controlled trial of six month CCR post-TIA [21]. We showed: 1) there were no significant changes in IMT, TPA, TPV and VWV in group A and B, and there were no significant differences in US measurements between groups A and B before or after therapy, 2) there were no significant correlations between baseline US measurements and the change in risk factors and, 3) there were no statistically significant differences in the change in US measurements between subjects with an improved and unchanged TC/HDL ratio.
First, we observed no significant changes in carotid ultrasound measurements of atherosclerosis in either groups A or B after 6 months of therapy. We note that a previous study [12] in a small group of 30 patients showed a significantly decreased TPV in high risk stroke subjects who administered 3-months intensive atorvastatin therapy as compared to those who received placebo. Another dietary intervention study also showed significant 2-year changes in 3DUS VWV a larger group of 140 subjects [14]. The fact that there were no significant changes in IMT, TPV or VWV here suggests that an extended period of CCR or perhaps a larger sample size is required to detect differences in carotid atherosclerosis measurements. Previous work that showed significant improvements in serum and other stroke risk factors [21] after 6 months CCR (although not controlled) also suggests that improvements in carotid atherosclerosis may require a longer time-frame or perhaps a larger sample size to detect.
As might be expected, we observed significant and modestly strong correlations between the 1D, 2D and 3D carotid ultrasound measurements. These results were similar to previous findings in different patient populations [24] and suggest that changes in IMT and TPA explain some of the variability in carotid TPV and VWW. This is not unexpected because TPV is in essence a 3D TPA measurement and VWV is essentially a 3D IMT + plaque measurement. It is also worth noting that there were significant linear correlations for male and female measurements when considered independently. These findings strengthen the conclusions derived from previous work [24] where a significant but weak correlation for TPV and VWV was observed in females.
Total cholesterol (TC) to high-density lipoprotein (HDL) cholesterol ratios are commonly used for evaluating the risk of stroke and can be used as predictors of peripheral arterial disease [27]. For the small number of subjects with improved TC:HDL ratio (n = 24), regardless of treatment group, there were no significant differences and this suggests that a larger sample size may be needed to show significant improvement in US measurements after 6 months therapy.
It is important to note the rationale for including carotid ultrasound imaging in this randomized controlled trial. While a previous study of the effects of CCR evaluated risk factors and plasma lipid biomarkers [21] and showed modest effects, carotid US measurements of atherosclerosis were included here to try to determine the direct effects of CCR on carotid artery media hypertrophy, intima thickening and atherosclerotic plaque. Carotid US measurements provide a robust, rapid and relatively inexpensive way to generate non-invasive measurements of the direct determinants of stroke and TIA risk.
We must acknowledge a number of study limitations. First, this was a small pilot study, involving only subjects who consented to US monitoring (39 in total) and of these, there were subjects with incomplete imaging data, mainly due to insufficient image quality to complete quantitative analysis for some of the US data. As previously described [21], subjects were also provided a choice between two exercise treatments. We think that this choice of treatment may have had an effect on outcomes, including results obtained from carotid ultrasound measurements. Among the different ultrasound measurements, we believe that VWV would be a strong candidate in monitoring atherosclerotic disease over time in individuals performing CCR. It offers a wide dynamic range and it provides information about the arterial wall thickness as well as any plaque that may be present in the area of interest around the bifurcation of the carotid artery. Future studies may be required with a larger number of subjects or perhaps a longer follow-up study to measure and follow stroke risk factors and 3DUS measurements. Further studies can be performed to evaluate how patients who have not yet experienced a stroke but are at high risk would respond to comprehensive cardiac rehabilitation. We would hypothesize an improved quality of life and risk factors, including those related to carotid atherosclerosis decreasing the likelihood of a stroke.
Conclusions
We observed no significant difference in carotid US measurements of IMT, TPA, TPV and VWV within or between the two groups (A and B), after the 6-month evaluation period. A longer therapy period with an increased sample size may be required to show significant changes in US measurements in this patient population and after CCR.
Abbreviations
1D: One-dimensional; 2D: Two-dimensional; 3D: Three-dimensional; 3DUS: Three-dimensional ultrasound; BF: Bifurcation; BL: Baseline; BMI: Body mass index; CCA: Common carotid artery; CCR: Comprehensive cardiac rehabilitation; DBP: Diastolic blood pressure; FU: Follow-up; HDL: High density lipoprotein; ICA: Internal carotid artery; IMT: Intima-media thickness; L: Left; LDL: Low density lipoprotein; LIB: Lumen-intima boundary; MAB: Media-adventitia boundary; R: Right; SBP: Systolic blood pressure; TC: Total cholesterol; TG: Triglycerides; TIA: Transient ischemic attack; TPA: Total plaque area; TPV: Total plaque volume; US: Ultrasound; VWV: Vessel wall volume.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
TJL performed IMT, TPV and VWV measurements, presented and analyzed the data, and wrote the first draft of the manuscript. DB acquiring patient demographics and managed the patient information database, edited drafts of the manuscript and approved it. DP contributed to the analysis and revision of the manuscript. TH provided subject demographics and ultrasound images for the subjects involved in the study. NS, JDS, RDR, RC and MS generated the hypotheses and study concepts and reviewed and revised manuscript drafts. PLP reviewed the manuscript and generated hypotheses and study concepts for the RCT. GP, the corresponding author, supervised the data analysis and revised the manuscript. All authors approved of the manuscript.
Contributor Information
Tamas J Lindenmaier, Email: tlindenm@robarts.ca.
Daniel N Buchanan, Email: dbuchan7@uwo.ca.
Damien Pike, Email: dpike@robarts.ca.
Tim Hartley, Email: Tim.Hartley@lhsc.on.ca.
Robert D Reid, Email: BReid@ottawaheart.ca.
J David Spence, Email: dspence@robarts.ca.
Richard Chan, Email: rchan52@uwo.ca.
Michael Sharma, Email: msharma@ottawahospital.on.ca.
Peter L Prior, Email: Peter.Prior@sjhc.london.on.ca.
Neville Suskin, Email: neville.suskin@lhsc.on.ca.
Grace Parraga, Email: gparraga@robarts.ca.
Acknowledgements
The authors thank the London Health Science Centre/St. Joseph Hospital Cardiac Rehabilitation & Secondary Prevention Program and all our collaborators. N. Suskin acknowledges support of an HSFC Operating Grant (NA6151). G. Parraga acknowledges support of a CIHR New Investigator Award.
References
- Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006;367:1747–1757. doi: 10.1016/S0140-6736(06)68770-9. [DOI] [PubMed] [Google Scholar]
- Sacco RL, Adams R, Albers G, Alberts MJ, Benavente O, Furie K, Goldstein LB, Gorelick P, Halperin J, Harbaugh R. et al. Guidelines for prevention of stroke in patients with ischemic stroke or transient ischemic attack: a statement for healthcare professionals from the American heart association/American stroke association council on stroke: co-sponsored by the council on cardiovascular radiology and intervention: the American academy of neurology affirms the value of this guideline. Circulation. 2006;113:e409–e449. [PubMed] [Google Scholar]
- Barth JD. An update on carotid ultrasound measurement of intima-media thickness. Am J Cardiol. 2002;89:32B–38B. doi: 10.1016/S0002-9149(01)02329-3. discussion 38B-39B. [DOI] [PubMed] [Google Scholar]
- Pignoli P, Tremoli E, Poli A, Oreste P, Paoletti R. Intimal plus medial thickness of the arterial wall: a direct measurement with ultrasound imaging. Circulation. 1986;74:1399–1406. doi: 10.1161/01.CIR.74.6.1399. [DOI] [PubMed] [Google Scholar]
- Spence JD, Eliasziw M, DiCicco M, Hackam DG, Galil R, Lohmann T. Carotid plaque area: a tool for targeting and evaluating vascular preventive therapy. Stroke; a Journal of Cerebral Circulation. 2002;33:2916–2922. doi: 10.1161/01.STR.0000042207.16156.B9. [DOI] [PubMed] [Google Scholar]
- Al-Shali K, House AA, Hanley AJ, Khan HM, Harris SB, Mamakeesick M, Zinman B, Fenster A, Spence JD, Hegele RA. Differences between carotid wall morphological phenotypes measured by ultrasound in one, two and three dimensions. Atherosclerosis. 2005;178:319–325. doi: 10.1016/j.atherosclerosis.2004.08.016. [DOI] [PubMed] [Google Scholar]
- Egger M, Krasinski A, Rutt BK, Fenster A, Parraga G. Comparison of B-mode ultrasound, 3-dimensional ultrasound, and magnetic resonance imaging measurements of carotid atherosclerosis. J Ultrasound Med: Official Journal of the American Institute of Ultrasound in Medicine. 2008;27:1321–1334. doi: 10.7863/jum.2008.27.9.1321. [DOI] [PubMed] [Google Scholar]
- Egger M, Spence JD, Fenster A, Parraga G. Validation of 3D ultrasound vessel wall volume: an imaging phenotype of carotid atherosclerosis. Ultrasound Med Biol. 2007;33:905–914. doi: 10.1016/j.ultrasmedbio.2007.01.013. [DOI] [PubMed] [Google Scholar]
- Pollex RL, Spence JD, House AA, Fenster A, Hanley AJ, Zinman B, Harris SB, Hegele RA. A comparison of ultrasound measurements to assess carotid atherosclerosis development in subjects with and without type 2 diabetes. Cardiovasc Ultrasound. 2005;3:15. doi: 10.1186/1476-7120-3-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Riccio SA, House AA, Spence JD, Fenster A, Parraga G. Carotid ultrasound phenotypes in vulnerable populations. Cardiovasc Ultrasound. 2006;4:44. doi: 10.1186/1476-7120-4-44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Egger M, Chiu B, Spence JD, Fenster A, Parraga G. Mapping spatial and temporal changes in carotid atherosclerosis from three-dimensional ultrasound images. Ultrasound Med Biol. 2008;34:64–72. doi: 10.1016/j.ultrasmedbio.2007.07.004. [DOI] [PubMed] [Google Scholar]
- Krasinski A, Chiu B, Spence JD, Fenster A, Parraga G. Three-dimensional ultrasound quantification of intensive statin treatment of carotid atherosclerosis. Ultrasound Med Biol. 2009;35:1763–1772. doi: 10.1016/j.ultrasmedbio.2009.05.017. [DOI] [PubMed] [Google Scholar]
- Mallett C, House AA, Spence JD, Fenster A, Parraga G. Longitudinal ultrasound evaluation of carotid atherosclerosis in one, two and three dimensions. Ultrasound Med Biol. 2009;35:367–375. doi: 10.1016/j.ultrasmedbio.2008.09.008. [DOI] [PubMed] [Google Scholar]
- Shai I, Spence JD, Schwarzfuchs D, Henkin Y, Parraga G, Rudich A, Fenster A, Mallett C, Liel-Cohen N, Tirosh A. Dietary intervention to reverse carotid atherosclerosis. Circulation. 2010;121:1200–1208. doi: 10.1161/CIRCULATIONAHA.109.879254. [DOI] [PubMed] [Google Scholar]
- Ukwatta E, Awad J, Ward A, Buchanan D, Samarabandu J, Parraga G, Fenster A. Three-dimensional ultrasound of carotid atherosclerosis: Semiautomated segmentation using a level set-based method. Med Phys. 2011;38:2479. doi: 10.1118/1.3574887. [DOI] [PubMed] [Google Scholar]
- Den Ruijter HM, Peters SA, Anderson TJ, Britton AR, Dekker JM, Eijkemans MJ, Engström G, Evans GW, de Graaf J, Grobbee DE. Common carotid intima-media thickness measurements in cardiovascular risk PredictionA meta-analysisCarotid intima-media thickness and risk prediction. JAMA. 2012;308:796–803. doi: 10.1001/jama.2012.9630. [DOI] [PubMed] [Google Scholar]
- Lorenz MW, Polak JF, Kavousi M, Mathiesen EB, Völzke H, Tuomainen T-P, Sander D, Plichart M, Catapano AL, Robertson CM. Carotid intima-media thickness progression to predict cardiovascular events in the general population (the PROG-IMT collaborative project): a meta-analysis of individual participant data. Lancet. 2012;379:2053–2062. doi: 10.1016/S0140-6736(12)60441-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spence JD. Carotid plaque measurement is superior to IMT: invited editorial comment on: carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis—Yoichi Inaba, MD, Jennifer A. Chen MD, Steven R. Bergmann MD, Ph. D. Atherosclerosis. 2012;220:34–35. doi: 10.1016/j.atherosclerosis.2011.07.006. [DOI] [PubMed] [Google Scholar]
- Inaba Y, Chen JA, Bergmann SR. Carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis. Atherosclerosis. 2012;220:128–133. doi: 10.1016/j.atherosclerosis.2011.06.044. [DOI] [PubMed] [Google Scholar]
- Wannarong T, Parraga G, Buchanan D, Fenster A, House AA, Hackam DG, Spence JD. Progression of carotid plaque volume predicts cardiovascular events. Stroke; a Journal of Cerebral Circulation. 2013;44:1859–1865. doi: 10.1161/STROKEAHA.113.001461. [DOI] [PubMed] [Google Scholar]
- Prior PL, Hachinski V, Unsworth K, Chan R, Mytka S, O’Callaghan C, Suskin N. Comprehensive cardiac rehabilitation for secondary prevention after transient ischemic attack or mild stroke: I: feasibility and risk factors. Stroke; a Journal of Cerebral Circulation. 2011;42:3207–3213. doi: 10.1161/STROKEAHA.111.620187. [DOI] [PubMed] [Google Scholar]
- Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x. [DOI] [PubMed] [Google Scholar]
- Ware JE Jr, Kosinski M, Keller SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34:220–233. doi: 10.1097/00005650-199603000-00003. [DOI] [PubMed] [Google Scholar]
- Buchanan DN, Lindenmaier T, McKay S, Bureau Y, Hackam DG, Fenster A, Parraga G. The relationship of carotid three-dimensional ultrasound vessel wall volume with age and sex: comparison to carotid intima-media thickness. Ultrasound Med Biol. 2012;38:1145–1153. doi: 10.1016/j.ultrasmedbio.2012.02.013. [DOI] [PubMed] [Google Scholar]
- Selzer RH, Hodis HN, Kwong-Fu H, Mack WJ, Lee PL, Liu C-r, Liu C-h. Evaluation of computerized edge tracking for quantifying intima-media thickness of the common carotid artery from B-mode ultrasound images. Atherosclerosis. 1994;111:1–11. doi: 10.1016/0021-9150(94)90186-4. [DOI] [PubMed] [Google Scholar]
- Buchanan D, Gyacskov I, Ukwatta E, Lindenmaier T, Fenster A, Parraga G. In: Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging. Volume 8317. Molthen RC, Weaver JB, editor. 2012. Semi-automated segmentation of carotid artery total plaque volume from three dimensional ultrasound carotid imaging. Proceedings of SPIE] [Google Scholar]
- Ridker PM, Stampfer MJ, Rifai N. Novel risk factors for systemic atherosclerosis. JAMA: the Journal of the American Medical Association. 2001;285:2481–2485. doi: 10.1001/jama.285.19.2481. [DOI] [PubMed] [Google Scholar]