(Stroke. 2001;32:836.)
© 2001 American Heart Association, Inc.
Original Contributions |
From the Department of Internal Medicine, Divisions of Angiology (B.F., C.R., D.S.) and Cardiology (H.P.S.), Kantonsspital, Frauenfeld, Switzerland, and the Department of Internal Medicine, University Hospital (P.M.), Zurich, Switzerland.
Correspondence to Beat Frauchiger, MD, Head of Department of Internal Medicine, Kantonsspital, CH-8500 Frauenfeld, Switzerland. E-mail beat.frauchiger{at}kttg.ch
| Abstract |
|---|
|
|
|---|
MethodsThe SMART atherosclerosis risk score was determined in 157 patients (94 men and 63 women; mean age 63 [range 19 to 80] years) with at least 1 vascular risk factor or a known vascular disease. Duplex sonography of the common carotid (CCA) and internal carotid artery (ICA) was then performed, with determination of IMT and RI.
ResultsThe mean risk score of all patients was 8.8±3.5 (range 1 to 17), the mean IMT value in the CCA was 0.727±0.161 mm, the mean RI in CCA was 0.79±0.066, and the mean RI in ICA was 0.661±0.082. Highly significant correlations were found between the score and IMT CCA and the score and RI ICA (r=0.62, P<0.0001 and r=0.55, P<0.0001). The scoreRI CCA correlation was much less marked (r=0.354, P<0.0001). The intraobserver and interobserver agreement was less for IMT than for RI CCA and ICA. The areas under the curve of the receiver operating curves to distinguish between low-risk and high-risk patients resulted in values of 0.86, 0.81, and 0.69 for IMT, RI ICA, and RI CCA, respectively.
ConclusionsAlthough RI reflects the atherosclerotic process in an indirect manner, the correlation between the RI ICA and the SMART atherosclerosis score as well as the ability to distinguish between low- and high-risk patients are comparable to those of the well-known IMT.
Key Words: atherosclerosis carotid arteries ultrasonography
| Introduction |
|---|
|
|
|---|
Assessment of arterial distensibility requires a relatively arduous procedure and is subject to interobserver and intraobserver variability of up to 19%,7 8 the IMT up to 12%.8 The validity of total wall thickness has not yet been established in this context. Furthermore, the measurement of morphological wall parameters requires the use of high-resolution ultrasound probes.
In contrast, the resistive index (RI) according to Pourcelot is a hemodynamic parameter that is easily determined by Doppler sonography and basically reflects vascular resistance.9 10 In the renal arteries, the RI has been studied thoroughly as a surrogate marker of atherosclerotic alterations. Age, vascular risk factors, and clinically demonstrated vascular diseases are associated with an increase in RI.11 12 13 However, no study has yet addressed the possible correlation between carotid RI and the degree of atherosclerosis, even though the CCA and internal carotid artery (ICA) are more accessible to sonographic examination than are the renal arteries. Ishimura et al12 previously demonstrated a (moderate) correlation between the IMT of the CCA and the RI in the renal parenchyma. This relationship could indicate that the RI ICA could be used to assess atherosclerosis.
Accordingly, it was the purpose of this study to investigate the relationship between atherosclerosis and the RI in CCA and ICA in a group of patients with vascular risk factors or documented manifestations of atherosclerosis and to compare this parameter with the established IMT.
| Subjects and Methods |
|---|
|
|
|---|
Risk Score
The enrolled patients completed a questionnaire with
a risk score based on the SMART study (see Reference 33 for details). A
score of 1 point was attributed for each of the following risk factors
or vascular diseases: age >30 years, age >40 years, up to age >70 (1
point for each decade); male gender; smoker or ex-smoker; hyperlipemia
or medication for hyperlipemia; diabetes mellitus or medication for
diabetes; hypertension or medication for hypertension; body mass index
>30 kg/m2 ;
peripheral arterial occlusive disease
(ankle-arm index 0.9 or plaques or stenoses detected by
angiography or duplex sonography); previous interventions on the leg
vessels; TIA or stroke; ICA stenosis
50% (detected by
angiography or duplex sonography); and previous carotid
thromboendarterectomy, angina pectoris, myocardial
infarction, aortic or renal artery stenosis (detected by
angiography or duplex sonography) or impaired kidney function. As in
the SMART study, the questionnaire was valid when <3 items were
unknown or not filled in. Missing items in valid questionnaires were
scored as 0. The sum of scores was calculated for each patient. Five
patients were excluded because of incomplete questionnaires. After
definitive enrollment, all patients underwent duplex sonography of the
carotid bed. For this imaging, the investigator had no knowledge of the
atherosclerosis score.
Duplex Sonography Measurements
After patients rested for 5 minutes in a supine
position, their pulse and BP measurements were recorded with a
wrist cuff oscillometric blood pressure measurement device (OMRON
R3)14 and duplex sonographic
measurements were performed. The investigation was done with an Acuson
Sequoia device with a 10-MHz linear-array probe for the IMT
measurement (minimal axial and lateral resolution 0.1 mm) and a
5-MHz linear-array probe for the RI measurements. Plaques or other
findings in the B-mode image were recorded.
Pulsed-Doppler investigation was included at sites of color duplex
sonographic findings, and any stenosis was graded according to
the Washington
criteria.15
Measurement of Resistive Index RI
The wall filter setting was 50 Hz and the Doppler
frequency 5 MHz. The pulsed-Doppler volume was carried out in the
middle/distal CCA region with a maximum Doppler angle of 60° with
a sampling volume of approximately three quarters of the vascular
diameter. Using the cine-loop function, a scope length of perfect
quality was recorded, and the maximum systolic and minimum
diastolic flow rates were determined automatically in a
cycle by means of inbuilt software. The measurement was then repeated
twice and performed on the contralateral side in the same way. In the
ICA region, the section immediately distal to the dilatation of the
carotid bulb was chosen as the measurement site or, if the bulb was not
detectable, 2 cm cranial to the start of the bifurcation. The same
measurement method was applied to the CCA. The investigation was
repeated on the left side, and the average of 6 measurements was again
used for the further calculations.
Figure 1A
shows an RI ICA measurement.
|
When stenosis (
16% Washington
criteria15 ) was found at the
measurement site, or a stroke signal was seen or the ICA could not be
imaged, the measurements for the ICA and for the CCA on the same side
were not used. Measurements in patients with aortic stenosis
were not used further for RI calculations on both sides. The RI was
calculated
according to Pourcelot9 as
follows:
![]() | (1) |
Only 7% of the pulse measurements were <50 or >90 bpm. Because the trial use of the Mostbeck correction formula for the RI values did not show any change in mean value or correlation, the formula was not further applied.16 The values from patients with atrial fibrillation (11%) were included.
Of the 157 patients, bilateral ICA and CCA measurements
could be primarily included in 131 cases. One or both sides were
excluded in 26 cases: 5 bilateral due to aortic stenosis, 13
due to unilateral ICA stenosis
16% (including 7
50%), 4
due to unilateral stroke signals (suspected intracranial occlusion or
ICA stenosis), and 4 due to inability to image the ICA on one
side. Of the 21 cases in which measurements on one side could
theoretically be used, 2 more were excluded from the ICA and CCA
calculations because of massive ventricular extrasystoles
with tachycardial phases, and another was excluded from the
ICA calculation because of incomplete documentation. Consequently, 18
unilateral ICA measurements and 19 unilateral CCA measurements could be
added to 131 bilateral ICA and CCA measurements. The curves and graphs
of the RI calculations are thus based on unilateral or bilateral
measurements of the CCA in 150 patients and of the ICA in 149
patients.
IMT Measurement in the CCA
The intima-media thickness was measured 1 cm proximal
to the start of the carotid bulb dilatation on the CCA in the far wall.
Using the cine-loop function, an optimal longitudinal freeze-frame
image in the end-diastolic state was measured manually. On
the basis of previous descriptions, the sonographic vascular
lumen-intima transition was selected as the internal measurement site
and the media-adventitia transition as the external
limit.1 The measurement was
repeated twice at the same site and then performed in the same way 3
times at the corresponding left site. The mean of 6 measurements was
used for the further calculations (a total of 942 IMT measurements).
There were no exclusions with regard to the IMT measurements. On the
other hand, because of plaques, the planned measurement site had to be
shifted proximally to a plaque-free site in the right CCA in 16 and in
the left CCA in 18 cases.
Figure 1B
shows an example of an IMT
measurement.
Laboratory Tests
Glucose, triglycerides,
cholesterol, LDL, and creatinine were
determined by enzymatic methods with the Hitachi Model 910 Automatic
Analyzer. Microalbuminuria (>20 mg/L) was
investigated with the Turbiquant (Behring Diagnostics
GmbH).
Statistical Evaluation
The Statistical Package for the Social Sciences (SPSS
Inc) was used for the statistics. The Q-Q plot analysis showed
normal distribution for the scores and for the IMT, RI CCA, and RI ICA
values. Correlation calculations were performed with the Pearson test.
Differences between the right and left sides were analyzed with
the unpaired t test. To test
the discriminative power with regard to the atherosclerotic risk, the
area under the curve (AUC) of the receiver operating curves were
calculated. An AUC of 1.0 signifies perfect and 0.5 no discrimination.
The null hypothesis was tested at a level of
P<0.05.
| Results |
|---|
|
|
|---|
|
Summary of Duplex Sonographic
Parameters
The summary of the results of IMT, RI CCA, and RI ICA
measurements is shown in
Table 2
. In this, the left column shows the results for 157
patients. For comparison, the values for 13 much younger, healthy
volunteers, used to calculate intraobserver and interobserver
agreement, are shown on the right.
|
Correlation Between
Atherosclerosis Score and IMT or RI
A highly significant correlation with the SMART score
was found for all 3 parameters; that for RI CCA was least
clear.
Figure 2
illustrates the relationship for all 3
parameters.
|
Correlation Between Morphological and
Hemodynamic Parameters
Both RI ICA and RI CCA were significantly correlated
with the IMT. Again, the correlation between IMT and RI ICA was much
greater than that between IMT and RI CCA
(r=0.57 and
r=0.38;
P<0.0001 and
P<0.001, respectively). The
correlation between IMT and RI ICA is shown in
Figure 3
.
|
Discrimination of Low- and High-Risk
Patients
The patients were divided into 4 roughly equal groups
on the basis of their atherosclerosis scores. Group 1
comprised scores of 1 to 6, group 2 scores of 7 to 8, group 3 scores of
9 to 11, and group 4 scores of 12 to 17. Group 1 was considered the
low-risk group for cardiovascular events and group 4
the high-risk group. The AUC in the high-risk group was 0.75 (CI 0.69
to 0.84) for IMT, 0.67 (CI 0.57 to 0.77) for RI CCA, and 0.72 (CI 0.64
to 0.81) for RI ICA. For the low-risk group discrimination, the AUC was
0.86 (CI 0.78 to 0.93) for IMT, 0.69 (0.59 to 0.78) for RI CCA, and
0.81 (CI 0.73 to 0.89) for RI ICA.
Figure 4
shows the AUC values for the discrimination of
low-risk patients relative to IMT, RI CCA, and RI
ICA.
|
Precision of Measurements
To establish the precision of our measurements,
interobserver and intraobserver agreement was determined by a modified
method described by Bland and
Altman17 and Montauban van
Swijndregt18 in 13
volunteers (mean age 38 years, range 28 to 56; 6 women and 7 men). Two
blinded investigators performed the IMT and RI measurements in the CCA
and ICA, respectively, at an interval of 7 days. The mean intraobserver
differences for paired measurements were 11.4%/8.0% for IMT,
4.5%/4.2% for RI CCA, and 5.3%/7.8% for RI ICA. For interobserver
differences, the values were 9.5%/8.3% for IMT, 3.3%/5.3% for RI
CCA, and 6.4%/6.7% for RI ICA. The scatter for the differences
between left and right was also examined. In the case of IMT, there
were significantly greater left-right differences for means above the
median than for values below the median
(P<0.02). RI CCA showed the
opposite: with higher mean values, the differences between the sides
were slightly smaller
(P<0.04); with RI ICA there
were no significant differences.
| Discussion |
|---|
|
|
|---|
The suitability of the ICA for such examinations might be due to Doppler sonographic properties similar to those of the renal arteries: like the latter, the ICA shows the properties of a low-resistance bed with a highly constant resistive index. This could be explained by the self-regulating intracranial flow.19 The extensibility of elastic vessels (such as the CCA and ICA), and thus the windkessel function, decreases with age, as does the diastolic flow fraction, and the vascular resistance increases.20 21 22 The correlation we find between RI and IMT of the ICA is much greater than that reported by Ishimura et al12 for IMT of the CCA and the RI of the renal arteries in diabetics, which clearly indicates that structural vascular wall alterations directly influence the RI.
The RI CCA provides a poorer cutoff than does the RI ICA. This may be due to the fact that the CCA precedes 2 different resistive beds, namely, the intracranial and the extracranial. The resistance in the ECA bed can thus undergo greater variations.23
IMT is thus far the best-studied sonographic parameter.1 3 24 It is defined as the section between the blood-intima and media-adventitia interfaces seen in the B-mode image procedure. An increase in IMT in relation to vascular risk factors or manifest atherosclerosis has been demonstrated many times.3 25 26 A direct correlation between IMT and the risk of myocardial infarction and stroke in a population of patients without a prior history of vascular diseases has recently been shown.27 The correlation between IMT and the atherosclerosis score in our study (r=0.62) is comparable to that of Geroulakos et al25 (r=0.55), whereby the latter used the score of the British Regional Heart Study. Drawbacks of the IMT determination are the need for high-resolution ultrasound probes, greater intraobserver and interobserver variability (compared with RI), and the marked side differences that increase with higher values.8 24 Although some authors27 28 29 have found an even better correlation with the degree of atherosclerosis when using IMT values for the ICA or a combination of ICA and CCA values, we have restricted ourselves to the determination of IMT in the CCA. IMT measurements in the ICA have a massive scatter.30 IMT CCA measurements are easier to obtain, are more reliable ,and have been proved in many studies.3 31 32
When RI and IMT measurements are compared, the essential advantages of the former are the easier data acquisition by the use of simple duplex apparatuses, the tendency to have less interobserver and intraobserver variability, and the smaller side difference. The basic dependency on heart rate and rhythm and the effects of stenosis before and after the measurement site are disadvantages. Because we analyzed the possible validity of RI measurements in large populations, eg, in epidemiological studies, we did not take heart rate and frequency into account and deliberately did not exclude patients with atrial fibrillation but did exclude those with detectable stenosis. Unilateral or bilateral RI measurements could nevertheless be used in 95% of all patients.
In summary, we conclude that the RI of the ICA can be assessed as a surrogate marker of generalized atherosclerosis, complementary to IMT. Although the RI as a hemodynamic value reflects the atherosclerotic process in an indirect manner, the correlation in our patient population is comparable to that of the former established IMT. Further studies will be needed to investigate the value of the resistive index as a direct predictor of cardiovascular morbidity and mortality. Compared with other indirect measurements of atherosclerosis, eg, distensibility, the ease with which RI data are obtained is striking.
| Acknowledgments |
|---|
Received October 5, 2000; revision received October 20, 2000; accepted December 21, 2000.
| References |
|---|
|
|
|---|
2.
Ebrahim S,
Papacosta O, Whincup P, Wannamethee G, Walker M, Nicolaides AN, Dhanjil
S, Griffin M, Belcaro G, Rumley A, Lowe GD. Carotid plaque, intima
media thickness, cardiovascular risk factors, and
prevalent cardiovascular disease in men and women: the
British Regional Heart Study.
Stroke. 1999;30:841850.
3.
Simons PC, Algra A,
Bots ML, Grobbee DE, van der Graaf Y. Common carotid intima-media
thickness and arterial stiffness: indicators of
cardiovascular risk in high-risk patients. The SMART
Study (Second Manifestations of ARTerial disease).
Circulation. 1999;100:951957.
4.
Hirai T, Sasayama
S, Kawasaki T, Yagi S. Stiffness of systemic arteries in patients with
myocardial infarction; a non-invasive method to predict severity of
coronary atherosclerosis.
Circulation. 1989;80:7886.
5. Alva F, Samaniego V, Gonzales V, Moguel R, Meaney E. Structural and dynamic changes in the elastic arteries due to arterial hypertension and hypercholesterolemia. Clin Cardiol. 1993;16:614618.[Medline] [Order article via Infotrieve]
6. Hodges TC, Detmer PR, Dawson DL, Bergelin RO, Beach KW, Hatsukami TS, Zierler BK, Isaacson JA, Strandness DE Jr. Ultrasound determination of total arterial wall thickness. J Vasc Surg. 1994;19:745753.[Medline] [Order article via Infotrieve]
7. Hoeks AP, Brands PJ, Smeets FA, Reneman RS. Assessment of the distensibility of superficial arteries. Ultrasound Med Biol. 1990;16:121128.[Medline] [Order article via Infotrieve]
8. Kanters SD, Elgersma OE, Banga JD, van Leeuwen MS, Algra A. Reproducibility of measurements of intima-media thickness and distensibility in the common carotid artery. Eur J Vasc Endovasc Surg. 1998;16:2835.[Medline] [Order article via Infotrieve]
9. Pourcelot L. Applications cliniques de l'examen Doppler transcutan. In: Peronneau P, ed. Velocimetrie Ultrasonore Doppler. Paris, France: INSERM; 1975:213240.
10.
Frauchiger B,
Bock A, Eichlisberger R, Landmann J, Thiel G, Mihatsch MJ, Jager K. The
value of different resistance parameters in distinguishing
biopsy-proved dysfunction of renal allografts.
Nephrol Dial Transplant. 1995;10:527532.
11.
Pontremoli R,
Viazzi F, Martinoli C, Ravera M, Nicolella C, Berruti V, Leoncini G,
Ruello N, Zagami P, Bezante GP, Derchi LE, Deferrari G. Increased renal
resistive index in patients with essential hypertension: a marker of
target organ damage. Nephrol Dial
Transplant. 1999;14:360365.
12. Ishimura E, Nishizawa Y, Kawagishi T, Okuno Y, Kogawa K, Fukumoto S, Maekawa K, Hosoi M, Inaba M, Emoto M, Morii H. Intrarenal hemodynamic abnormalities in diabetic nephropathy measured by duplex Doppler sonography. Kidney Int. 1997;51:19201927.[Medline] [Order article via Infotrieve]
13.
Frauchiger B,
Nussbaumer P, Hugentobler, Staub D. Duplex sonographic registration of
age and diabetes-related loss of renal vasodilatory response to
nitroglycerine. Nephrol
Dial Transplant. 2000;15:827832.
14.
OBrien E,
Atkins N, Staessen J. State of the market: a review of ambulatory blood
pressure monitoring devices.
Hypertension. 1995;26:835842.
15. Roederer GO, Langlois YE, Chan ATW, Strandness DE, Ultrasonic duplex scanning of the extracranial carotid arteries: improved accuracy using new features from the common carotid artery. J Cardiovasc Ultrasonography. 1982;1:373380.
16.
Mostbeck GH,
Gossinger HD, Mallek R, Siostrzonek P, Schneider B, Tscholakoff D.
Effect of heart rate on Doppler measurements of resistive index in
renal arteries. Radiology. 1990;175:511513.
17. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307310.[Medline] [Order article via Infotrieve]
18. Montauban van Swijndregt AD, De Lange EE, De Groot E, Ackerstaff RG. An in vivo evaluation of the reproducibility of intima-media thickness measurements of the carotid artery segments using B-mode ultrasound. Ultrasound Med Biol. 1999;25:323330.[Medline] [Order article via Infotrieve]
19. Leftheriotis G, Geraud JM, Preckel MP, Saumet JL. Cerebral blood flow and resistances during hypotensive haemorrhage in the rabbit: transcranial Doppler and laser-Doppler flowmetry. Clin Physiol. 1995;15:537545.[Medline] [Order article via Infotrieve]
20. Reneman RS, van Merode T, Hick P, Muytjens AM, Hoeks AP. Age-related changes in carotid artery wall properties in men. Ultrasound Med Biol. 1986;12:465471.[Medline] [Order article via Infotrieve]
21. Nagai Y, Helwegen J, Fleg JL, Kemper MK, Earley CJ, Rywik TM, Wijn P, Metter EJ. Decay Index: a new carotid Doppler waveform measure associated with the Windkessel function of elastic arteries. Ultrasound Med Biol. 1999;25:13711376.[Medline] [Order article via Infotrieve]
22. Jungquist G, Arborelius M, Lindell SE. Features of carotid artery flow velocity in healthy subjects and consequences for evaluating stenosis in the internal carotid artery. Ultrasound Med Biol. 1989;15:305310.[Medline] [Order article via Infotrieve]
23. Barry R, Pienaar A, Pienaar C, Browning NG, Nel CJ. Duplex Doppler investigation of suspected vascular lesions at the carotid bifurcation. Ann Vasc Surg. 1993;7:140144.[Medline] [Order article via Infotrieve]
24.
Stensland-Bugge
E, Bonaa KH, Joakimsen O. Reproducibility of ultrasonographically
determined intima-media thickness is dependent on arterial
wall thickness. The Tromso Study.
Stroke. 1997;28:19721980.
25. Geroulakos G, OGorman D, Nicolaides A, Sheridan D, Elkeles R, Shaper AG. Carotid intima-media thickness: correlation with the British Regional Heart Study risk score. J Intern Med. 1994;235:431433.[Medline] [Order article via Infotrieve]
26. Gnasso A, Irace C, Mattioli PL, Pujia A. Carotid intima-media thickness and coronary heart disease risk factors. Atherosclerosis. 1996;119:715.[Medline] [Order article via Infotrieve]
27.
OLeary D, Polak
J, Kronmal R, Manolio TA, Burke GL, Wolfson SK Jr. Carotid-artery
intima and media thickness as a risk factor for myocardial infarction
and stroke in older adults. N Engl
J Med. 1999;340:1422.
28. Wagenknecht LE, DAgostino RB Jr, Haffner SM, Savage PJ, Rewers M. Impaired glucose tolerance, type 2 diabetes, and carotid wall thickness: the Insulin Resistance Atherosclerosis Study. Diabetes Care. 1998;21:18121818.[Abstract]
29.
OLeary DH,
Polak JF, Kronmal RA, Savage PJ, Borhani NO, Kittner SJ, Tracy R,
Gardin JM, Price TR, Furberg CD. Thickening of the carotid wall: a
marker for atherosclerosis in the elderly?
Cardiovascular Health Study Collaborative Research
Group Stroke. 1996;27:224231.
30.
OLeary DH,
Polak JF, Wolfson SK Jr, Bond MG, Bommer W, Sheth S, Psaty BM, Sharrett
AR, Manolio TA. Use of sonography to evaluate carotid
atherosclerosis in the elderly. The
Cardiovascular Health Study CHS Collaborative Research
Group. Stroke. 1991;22:11551163.
31.
Mykkanen L,
Zaccaro DJ, OLeary DH, Howard G, Robbins DC, Haffner SM.
Microalbuminuria and carotid artery intima-media thickness
in nondiabetic and NIDDM subjects. The Insulin Resistance
Atherosclerosis Study (IRAS).
Stroke. 1997;28:17101716.
32.
Haffner SM,
DAgostino R, Mykkanen L, Hales CN, Savage PJ, Bergman RN, OLeary D,
Rewers M, Selby J, Tracy R, Saad MF. Proinsulin and insulin
concentrations in relation to carotid wall thickness: Insulin
Resistance Atherosclerosis Study.
Stroke. 1998;29:14981503.
This article has been cited by other articles:
![]() |
M. A. Abbas and F. Corea Surrogate Sonographic Markers of Atherosclerosis Stroke, July 1, 2006; 37(7): 1644 - 1644. [Full Text] [PDF] |
||||
![]() |
D. Staub, A. Meyerhans, B. Bundi, H. P. Schmid, and B. Frauchiger Prediction of Cardiovascular Morbidity and Mortality: Comparison of the Internal Carotid Artery Resistive Index With the Common Carotid Artery Intima-Media Thickness Stroke, March 1, 2006; 37(3): 800 - 805. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Unal, S. Bagcier, I. Simsir, Y. Bilgili, and S. Kara Evaluation of Differences Between Observers and Automatic-Manual Measurements in Calculation of Doppler Parameters J. Ultrasound Med., August 1, 2004; 23(8): 1041 - 1048. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2001 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |