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B-mode ultrasound common carotid artery intima-media thickness and external diameter: cross-sectional and longitudinal associations with carotid atherosclerosis in a large population sample
© Eigenbrodt et al; licensee BioMed Central Ltd. 2008
Received: 29 January 2008
Accepted: 05 March 2008
Published: 05 March 2008
Arterial diameter and intima-media thickness (IMT) enlargement may each be related to the atherosclerotic process. Their separate or combined enlargement may indicate different arterial phenotypes with different atherosclerosis risk.
We investigated cross-sectional (baseline 1987–89: n = 7956) and prospective (median follow-up = 5.9 years: n = 4845) associations between baseline right common carotid artery (RCCA) external diameter and IMT with existing and incident carotid atherosclerotic lesions detected by B-mode ultrasound in any right or left carotid segments. Logistic regression models (unadjusted, adjusted for IMT, or adjusted for IMT and risk factors) were used to relate baseline diameter to existing carotid lesions while comparably adjusted parametric survival models assessed baseline diameter associations with carotid atherosclerosis progression (incident carotid lesions). Four baseline arterial phenotypes were categorized as having 1) neither IMT nor diameter enlarged (reference), 2) isolated IMT thickening, 3) isolated diameter enlargement, and 4) enlargement of both IMT and diameter. The association between these phenotypes and progression to definitive carotid atherosclerotic lesions was assessed over the follow-up period.
Each standard deviation increment of baseline RCCA diameter was associated with increasing carotid lesion prevalence (unadjusted odds ratio [OR] = 1.54, 95% confidence interval [CI] = 1.47–1.62) and with progression of carotid atherosclerosis (unadjusted hazards ratio (HR) = 1.37, 95% CI = 1.28–1.46); and the associations remained significant even after adjustment for IMT and risk factors (prevalence OR = 1.11, 95% CI = 1.04–1.18; progression HR = 1.11, 95% CI = 1.03–1.19). Controlling for gender, age and race, persons with both RCCA IMT and diameter in the upper 50th percentiles had the greatest risk of progressing to clearly defined carotid atherosclerotic lesions (all HR = 1.71, 95% CI = 1.47–2.0; men HR = 1.88, 95% CI = 1.48–2.39; women HR = 1.59, 95% CI = 1.31–1.95) while RCCA IMT or diameter alone in the upper 50th percentile produced significantly lower estimated risks.
RCCA IMT and external diameter provide partially overlapping information relating to carotid atherosclerotic lesions. More importantly, the RCCA phenotype of coexistent wall thickening with external diameter enlargement indicates higher atherosclerotic risk than isolated wall thickening or diameter enlargement.
Risk factors contribute to atherosclerosis through gradual arterial changes that may produce ischemia by either progressive luminal narrowing or more commonly, by sudden plaque rupture or intimal erosions with formation of an in situ occlusive thrombus . A widely accepted, convenient marker of atherosclerosis is carotid artery intima-media thickness (IMT)  which is significantly associated with prevalent [3, 4] and incident  carotid plaques. While a number of factors can contribute to error in ultrasound artery measurements [6, 7], variation in the progression of atherosclerosis at different arterial sites, and not error in ultrasound measurements, is thought to contribute to some discrepancies in the prediction of coronary events . However, arterial parameters other than IMT may provide insights into how risk factors are related to different stages of atherosclerosis [9–11], promote an understanding of arterial segment differences , or provide understanding of how classification based on carotid ultrasound and coronary angiography may differ . Since arterial wall area incorporates both diameter and wall thickness, area estimation may provide some advantages to IMT alone [14, 15]. If different cardiovascular risk factors are associated with disparate changes in IMT and diameter, or the parameter changes are manifested at different stages of disease progression, then considering both measures jointly may identify the atherosclerotic phenotypes more effectively [13, 16–18]. The relationship of plaques, IMT, and artery diameter is complex and a number of arterial phenotype classifications have been proposed [18–24]. Risk factors are associated with arterial wall thickness , IMT progression [26–28], artery diameter [29–31], and calcified carotid plaques . Correlations between carotid IMT and diameter (0.31 to 0.59) [29, 31, 33] vary across populations and may depend upon whether the internal or external diameter  is evaluated. Part of the correlation may reflect an adaptive process used to maintain arterial wall stress [33–35], but in the presence of vulnerable atherosclerotic plaques, arterial diameter may reflect direct damage of the internal elastic lamina and arterial media [36, 37]. So, risk factors may contribute to IMT and diameter directly and indirectly.
The current study suggests that combined wall thickening and diameter enlargement indicates a higher risk arterial phenotype than either isolated abnormality. This may be relevant to the pathobiology of atherosclerosis.
The ARICLAD (Atherosclerosis Risk in Communities Limited Access Data) is a subset of the ARIC Study database (N = 15792)  limited to participants whose informed consent agrees to data sharing (n = 15732, 99.6%). The sampling strategy for the ARIC Cohort Study has been reported previously , and the ARIC Study procedures are available . The current study was approved by the University of Arkansas for Medical Sciences Institutional Review Board. In brief, this study uses data collected primarily at clinical exams that recurred on average at 3 year intervals from the 1987–89 baseline exams through the fourth exam cycle that ended in 1998. The ARIC participants (15792 black and non-black men and women, ages 45 to 64 at baseline) were recruited from four centers in the U.S. as previously described . The ARICLAD was divided randomly into developmental and test datasets (10000 and 5732 persons, respectively) to be used in several studies. For this study, participants missing the following baseline information were excluded: status of plaques/shadowing at any carotid site (n = 3915), RCCA diameter, IMT, measures needed for calculation of arterial wall area (circular or elliptical) (n = 2576), or model 3 covariates (n = 1285). After exclusions, 7956 participants remained, of which 5015 in the developmental subset were used to develop cross-sectional models. Excluding participants with baseline plaques/shadowing (n = 2955) and those who had no follow-up data on plaques/shadowing (n = 156) left 4845 participants of which 3060 were used to develop the models of atherosclerosis progression with incident carotid lesions as the outcome. Potential covariates included race, gender, and baseline age, height, current smoking status, cigarette years of smoking (based on years of smoking and numbers of cigarettes smoked per day), current drinking status, usual ethanol consumption (grams per week calculated from self-reported usual drinks per week), body mass index (BMI = weight in kilograms/height in meters2), diabetes status, blood glucose, cholesterol medication use, systolic and diastolic brachial blood pressure (mm Hg, means of second and third sitting measurements), anti-hypertensive medication use, fibrinogen, HDL- and LDL-cholesterol, peripheral white blood count, and physical activity (sport index) .
B-mode ultrasound scans were performed at baseline and at exam 2 on most participants and on overlapping subsets of participants at exams 3 and 4 . Detailed ultrasound methods can be found on the ARIC Limited Access Data Navigation System under Ultrasound Manuals. The CCA IMT and external diameter (interadventitial distance) measures, as defined by ARIC in the "optimal' view were the primary independent variables investigated. Because of more complete information on the right than the left CCA, the right-sided measures were primary and the left-sided measures were secondary. Plaques were not intentionally excluded from IMT and diameter measurements and likely contribute to variability of measurements. Presence of carotid atherosclerotic lesions (plaques or shadowing) was determined from scans of all right and left carotid artery segments (CCA, bifurcation, and internal carotid artery) . The presence of plaques was defined during ultrasound reading based on wall thickness and arterial wall roughness, loss of alignment, or protrusion into the lumen . Calcification or mineralization, another indicator of atherosclerosis, was based on acoustic shadowing (shadowing) . For the current study, a carotid atherosclerotic lesion was defined as missing if any of the six carotid sites had missing data for plaque/shadowing status and another carotid site was not positive. Because relatively complete information from all six carotid sites at baseline (including the CCA, bulb and the internal carotid segments) was required to construct the carotid lesion variable, a substantial number of participants (N = 3915) had missing baseline information.
Right CCA wall areas
RCCA wall area was calculated as the total artery area minus the lumen area assuming a circular lumen and an outer artery structure that was either circular or elliptical. The formula A = πr 2 - π(r - IMT)2 where A is the arterial wall area, r is the artery radius, and IMT is wall thickness was used to estimate wall area assuming circular configurations [14, 15]. Wall area calculations based on an elliptical outer artery structure were performed as previously described .
All analyses were performed using SASv9 (SAS Institute Inc., Cary, NC). Two multivariable adjustment methods, logistic regression and parametric time-to-event models allowing for interval censoring (SAS LIFEREG procedure assuming the Weibull distribution of event time), were the main analytical tools. Associations between one standard deviation (SD) increments of the baseline vascular measures with plaques/shadowing were assessed for the full sample and gender subsets. The unadjusted model (model 1) included RCCA IMT, diameter, wall area, or both IMT and diameter (IMT+diameter). Model 2 added race, age, height, and gender (in the overall model). Two risk factor adjusted models were used: model 4 included all 20 covariates while a more parsimonious model (model 3) included only covariates identified by stepwise logistic regression analyses as significant (p < 0.05) in at least one of the vascular measure models. To investigate the association of arterial diameter enlargement with atherosclerosis progression, we excluded persons with carotid lesions at baseline and assessed whether baseline RCCA diameter predicted the development of readily identifiable new plaques or shadowing in any carotid site during follow-up. Covariates were similarly selected in the prospective models as in the cross-sectional model. See tables for model 3 covariates. The c-statistic for logistic regression models was used to assess individual discrimination for each model.
Out of 20 tested risk factors and characteristics only one, diabetes status, was statistically significantly (p < 0.05) different between the developmental and test datasets (8.8% in the developmental and 10.3% in the test data set). This difference is modest, and while significant, is consistent with what would be expected by chance.
Characteristics of all participants and of subsets with and without carotid lesions at baseline, Atherosclerosis Risk in Communities Limited Access Data, 1987–89.
N = 7956
N = 2955
N = 5001
Age, years (mean (SD))
Male Gender (%)
Black race (%)
Cigarette years* (mean (SD))
Ethanol, grams/week† (mean (SD))
Hypertension medication (%)
Cholesterol medication (%)
Body Mass Index (mean (SD))
Systolic BP, mm Hg (mean (SD))
Diastolic BP, mm Hg (mean (SD))
LDL-C, mmol/L (mean (SD))
HDL-C, mmol/L (mean (SD))
Fibrinogen, mg/dL (mean (SD))
White blood count, 1000s/μL (mean (SD))
Blood glucose, mg/dL (mean (SD))
Sport index (mean (SD))
Standing height, cm (mean (SE)) ‡
RCCA measures (mean (SE)) §
Intima-medial thickness (mm)
Circular wall area (mm2)
Elliptical wall area (mm2)
Cross-sectional associations* between 1-standard deviation (SD) increments of B- mode ultrasound right common carotid artery (RCCA) measures and prevalent carotid atherosclerotic lesions for the full sample and by gender, Atherosclerosis Risk in Communities Limited Access Data, 1987–1989.
Odds Ratio (95% Confidence Interval)
N = 7956
N = 3453
N = 4503
Hazards ratios and 95% confidence intervals* for progression to carotid atherosclerotic lesions associated with each standard deviation increment of B-mode ultrasound right common carotid artery (RCCA) measures, Atherosclerosis Risk in Communities Limited Access Data (ARICLAD), 1987–1998.
Hazards Ratios (95% Confidence Intervals)*
N = 4845
N = 1850
N = 2995
Sequential adjustment indicates there is overlap in the excess risk explained by IMT and diameter (Table 3). For example, the hazard ratio for diameter was reduced from 1.37 to 1.25 after inclusion of IMT in the model. Adjusting for risk factors, but not IMT, reduced the hazard ratio from 1.37 to 1.17. Adjustment for both IMT and risk factors reduced the hazard ratio to 1.11. Similarly, IMT risk was reduced after adjusting for diameter and risk factors, but with a stronger risk remaining (HR = 1.19).
Substituting LCCA parameter values in the prospective statistical models (N = 4187) produced results similar to those for the RCCA measures after adjusting for demographic factors and height (LCCA wall area HR = 1.37, 95% CI = 1.27–1.49; IMT HR = 1.30, 95% CI = 1.20–1.41; diameter HR = 1.26, 95% CI = 1.17–1.37) and after adjusting for 20 risk factors (LCCA wall area HR = 1.25, 95% CI = 1.14–1.35; LCCA IMT HR = 1.20, 95% CI = 1.11–1.30, LCCA diameter HR = 1.15, 95% = 1.06–1.25). Using LCCA values to define IMT and diameter enlargement, produced age-, race-, and gender-adjusted associations qualitatively similar to those for the RCCA (Figure 2) with the strongest risk of developing carotid lesions generally occurring among those with both LCCA IMT and external diameter enlargement.
Using the c-statistic to indicate model discrimination for the existence of carotid lesions, wall area led to a slight improvement in model discrimination (c-statistics for wall area: all 0.650, men: 0.636, women 0.633) compared to IMT (c-statistics for IMT: all 0.635, men 0.631, women 0.623). However, after adjusting for age, race, height and gender essentially no difference in risk discrimination remained (not shown).
Arterial wall thickening and diameter enlargement are intimately related with the anatomic changes generally proceeding in tandem which produces a complex relationship between the two parameters and atherosclerosis. The current study confirmed the overlapping atherosclerosis information provided by risk factors, wall thickness, and external diameter. More importantly, this study provides striking evidence that the arterial phenotype of co-existent wall thickening and diameter enlargement poses the greatest risk of atherosclerosis progression. The study proposes a method for determining "normal" artery parameters that may have general relevance to the classification of arterial structure.
Since wall thickening and arterial remodeling do not generally proceed independently but are linked by adaptive responses [33, 35, 44], IMT and diameter provide overlapping information in regards to the risk of atherosclerosis progression which is clearly evident from the sequential model adjustments. Only a modest independent relationship between the continuous diameter measure and atherosclerosis progression remained after adjustment for both wall thickness and traditional risk factors. This model improvement could be merely because diameter improves model calibration or because the diameter reflects anatomic features that have an auto-catalyzing effect such as wall inflammation [23, 36, 46], or because diameter reflects a risk factor/genetic milieu with a generally greater propensity for progression, but separating these possibilities was not part of this study.
As reviewed, both resistance arteries  and larger conduit arteries [21, 47] are subject to anatomic changes that can be categorized based on diameter and wall thickness in multiple ways as different arterial phenotypes [18, 20–23]. Kiechl et al found that plaques developed preferentially at sites where the IMT was greater than the 50th percentile  Our study extends Kiechl's study by showing that the RCCA phenotype with both diameter and IMT in the upper 50th percentile had a significantly greater propensity for progression to definitive carotid lesions than when only IMT was enlarged. Isolated RCCA diameter enlargement generally had an even lower risk than isolated wall thickening, but the disparity was not statistically different. In a recent clinical study, a positive remodeling index was significantly related to an increase in diffuse in-stent restenosis . Our results seem to suggest that diameter enlargement in the presence of wall thickening indicates some fundamental differences from isolated wall thickening. Just as atherosclerotic plaques with expansive remodeling are found to have an inflammatory component [36, 49], wall thickening with expansive remodeling may also have a greater inflammatory component  or possibly a different genetic susceptibility than walls that do not exhibit expansive remodeling. Also, since the ARIC definition of CCA plaques required the wall to be at least 1.5 mm in thickness, smaller plaques would be missed. An alternate explanation for the lower risk of atherosclerosis progression among persons with only IMT thickening could be that the latter group included persons with non-atherosclerotic thickening such as response to hypertension with lower flow [18, 20]. Evaluating reasons for the different arterial phenotypes is beyond the scope of the present study.
This study also presents a possible methodological improvement in defining arterial phenotypes. Defining what arterial diameter is normal has been problematic [21, 22] with most recent definitions being based on adjacent reference arteries not displaying an atherosclerotic plaque [21, 22]. However, it is widely recognized that sites free of local lesions can have a generalized dilation response . A recent assessment of static and serial coronary artery remodeling clearly showed that cross-sectional comparison of sites with atherosclerotic lesions to a reference artery could result in misclassification of plaques as having constrictive rather than expansive remodeling . Our study defined the normal IMT and diameter values for each person based on the common carotid arteries of men and women who were free of both major atherosclerotic disease and of major risk factors with the gender-specific "normal" values being estimated for each person's height, age, and race. Thus, the expected IMT and diameter values to which the observed values are compared are likely to be free of the effect of major risk factors and so represent ideal values expected for someone of similar age, gender, height, and race. This method can be used for other arterial sites where disease-free and risk factor-free values are available and could be used to identify diffuse remodeling, absence of remodeling, and constrictive remodeling.
Wall area provides a composite measure of IMT and diameter. However, while wall area did provide a modestly stronger association with carotid atherosclerosis progression than IMT, wall area will not distinguish the different arterial phenotypes that may be important in understanding atherosclerosis progression.
This study has certain limitations. In the study of incident carotid atherosclerotic lesions (atherosclerosis progression), the use of the ARIC plaque definition requiring a thickness of at least 1.5 mm, could have resulted in smaller plaques being missed at baseline. Others have shown that pre-existing plaques predicted development of new plaques and progression of existing plaques . So, we cannot be sure that diameter enlargement at baseline was not because of non-diagnosed plaques that had produced expansive remodeling. Even the sensitivity analysis that excluded persons with RCCA lesions at exam 2, cannot exclude this possibility.
The rate of focal arterial remodeling in atherosclerosis depends upon initial lumen size  which complicates the use of diameter as an indicator of atherosclerosis. Thus, body stature and age which are correlated with arterial diameter [12, 54], could impact the association between diameter and atherosclerosis. Also, there appears to be a limit to arteries' ability to enlarge in response to wall thickening  which could limit diameter's usefulness as an indicator of atherosclerosis among the elderly. Our use of a classification of enlargement based on the observed to expected arterial parameter diminished some of these concerns. Our results support the contention  that considering arterial diameter as well as wall thickness is essential in understanding the atherosclerotic process.
Our results may not be representative of the ARIC cohort as participants without complete data on carotid atherosclerosis were excluded. Also, the reader- and trend-adjusted IMT values used in many ARIC manuscripts were not available for these analyses. A change of ultrasound equipment occurred during the third exam and the ultrasound protocol was simplified from three views at baseline to a single view at exams 3 and 4. This could have contributed to differences in plaques/shadowing recognition between early and later exams. While diameter measurements may vary depending upon the scan view, variability was minimized by using measurements from the view with defined structures. Since vascular measurements did not intentionally exclude plaques, IMT and diameter measurements at baseline could reflect both adaptive response and atherosclerosis as discussed above.
In conclusion, B-mode ultrasound-measured RCCA diameter is associated with the progression of atherosclerosis in the carotid arterial system. A method devised to define the reference CCA parameters may remove some previous methodological limitations. Our study suggests that presence of both external RCCA diameter enlargement as well as wall thickening may indicate a high risk arterial phenotype. Future studies should investigate factors relating to the different arterial phenotypes as well as how arterial diameters relate to local or carotid system changes.
This study was funded by NHLBI grant number R21 HL076833-02.
The Atherosclerosis Risk in Community (ARIC) Study is conducted and supported by NHLBI in collaboration with ARIC Study Investigators. This manuscript was not prepared in collaboration with principal investigators of the ARIC Study and does not necessarily reflect the opinions or views of the ARIC Study or NHLBI.
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