(Stroke. 1997;28:2174-2179.)
© 1997 American Heart Association, Inc.
Articles |
From the Third Division of Internal Medicine, Shimane Medical University, Izumo (T.A.), and Department of Neurology, Tokyo Saiseikai Central Hospital (M.T., H.H., T.I.) (Japan).
| Abstract |
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Methods We studied PVH and ECAS in 323 subjects between 1991 and 1994. Using 1.5-T MRI scan images, we measured PVH quantitatively at eight points and evaluated cerebral infarction. Duplex carotid sonography was performed on the carotid arteries bilaterally and used to divide the severity of ECAS into five grades. Risk factors for cerebrovascular diseases and atherosclerotic complications were assessed from the clinical history.
Results Age was significantly correlated with the size of frontal and whole PVH (P<.01). Frontal PVH was significantly more severe in subjects with hypertension (P<.05). Frontal, occipital, and whole PVH were significantly more severe in subjects with a history of cerebrovascular accident (P<.01). Other risk factors and atherosclerotic complications were not correlated with PVH. There were no significant differences in the severity of PVH among the five groups of ECAS. The severity of PVH in each region was not related to ECAS. There was no significant difference in the age of patients in relation to the five grades of ECAS. However, PVH was significantly more severe in subjects with lacunar infarction or infarction of the deep border zone (P<.05). There was no relationship between PVH and cortical infarction or infarction of the cortical border zone.
Conclusions PVH correlated with age, hypertension, and past history of cerebrovascular disease but not with ECAS. PVH was significantly more severe in lacunar infarction and infarction of the deep border zone. These results suggest that small-vessel disease may underlie the pathogenesis and development of PVH.
Key Words: carotid stenosis small-vessel disease leukoaraiosis white matter
| Introduction |
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| Subjects and Methods |
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Brain MRI was performed with a 1.5-T superconducting unit (Signa
Advantage, GE). Fast spin-echo sequences were performed with TR of 3500
ms and TE of 20 ms to produce proton densityweighted images.
Transaxial images of the brain were obtained with 5-mm thickness and
2-mm gap. Two-dimensional Fourier transformation of the images and a
256x256 data acquisition matrix were used. We evaluated the severity
of PVH using the modified method reported by Fukuda et
al.5 They reported that interrater reliability of
measurement of the severity of PVH was excellent5 ; they
used the same laboratory with which the first author was affiliated.
High signal intensity lesions adjacent to the lateral ventricles on
proton densityweighted images were defined as PVH. PVH size was
measured from the margin of the lateral ventricle to the end point of
the high-intensity lesion on axial images. Axial images were angled so
that they were parallel to the anterior commissure/posterior commissure
line. We measured PVH at eight points: bilaterally in the frontal
region on the slice that included basal ganglia and thalamus, and
bilaterally in frontal, middle, and occipital regions on the slice that
included the corona radiata (Fig 1
). The
individual values were summed for further analysis. Frontal PVH
was the sum in millimeters of numbers 1 through 4 in.
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Fig 1
. Similarly, lateral PVH was the sum of numbers 5 and 6, occipital
PVH was the sum of numbers 7and 8, and whole PVH was the sum of numbers
1 through 8. We did not measure a PVH when it was difficult to
differentiate the margin of the PVH from other white matter lesions or
cortical infarctions. All MRI images were reviewed by one observer who
had no knowledge of the clinical background of the subjects except for
age and sex so that the results were not influenced.
We also obtained T2-weighted images (TR, 3500 ms; TE, 120 ms) and T1-weighted images (TR, 350 ms; TE, 14 ms) to investigate cerebral infarction. Axial images were used to evaluate cerebral infarction. Cerebral infarctions was divided into four types based on their location: (1) lacunar infarction in the area of the penetrating artery; (2) territorial infarction in the cortex; (3) border zone infarction in the cortex; and (4) infarction of the deep white matter, including the border zone with the deep white matter.
The history of the subject was assessed for the presence of
cerebrovascular risk factors: age, sex, history of TIA, hypertension,
diabetes mellitus, hypercholesterolemia (total
cholesterol
220 mg/dL), hypo-HDL
cholesterolemia (HDL cholesterol <35
mg/dL), smoking, and atrial fibrillation. Complications of
arteriosclerosis, such as
arteriosclerosis obliterans, coronary
artery disease, and past history of CVA, were also assessed. We
obtained these data from a retrospective chart review.
The degree of ECAS was evaluated with duplex carotid sonography with the use of 7.5- or 5-MHz probes (Quantam 2000, Siemens) at the carotid bifurcation and origin of the internal carotid artery bilaterally and was quantified with the use of the ratios of the diameter of the internal lumen to that of the vessel. The degree of ECAS was divided into five grades: grade 1, no lesions; grade 2, stenosis <30%; grade 3, stenosis between 30% and 75%; grade 4, stenosis >75%; and grade 5, total occlusion. Grade 1 was defined as no carotid lesion contralateral to the affected side. Subjects who had normal carotid arteries bilaterally were excluded from the study because our main interest was in the relationship between severity of ECAS and PVH. We compared the degree of PVH and ECAS on each side. To investigate the effect of bilateral ECAS on the degree of PVH, the subjects were divided into four groups on the basis of the grade of their ECAS: group 1, unilateral ECAS grade 2 or lower; group 2, bilateral grade 2 or unilateral grade 3; group 3, bilateral grade 3 or unilateral grade 4; and group 4, bilateral grade 4 or above or unilateral grade 5.32 Lesions of the large intracranial vessels were evaluated by MR angiography and rated as severe stenosis or occlusion of the middle cerebral artery. MR angiography was performed in all subjects for routine MRI studies at the same time. We defined severe stenosis as partial disappearance of the flow signal and occlusion as an interruption of the flow signal.
Statistical analyses were performed with the use of nonparametric methods because the sampled data were not normally distributed and were unbalanced. The influences of risk factors for cerebrovascular disease, complications of arteriosclerosis, extracranial carotid lesions, and intracranial vascular lesions on PVH were analyzed with the Wilcoxon rank sum test and Kruskal-Wallis ANOVA. The correlation between PVH and age was determined by the Spearman's r test. A commercial software package (Statview, version 4.1.1) was used for the statistical analyses.
| Results |
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| Discussion |
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With respect to the relationship between PVH and the type of ischemic stroke, PVH was significantly more severe in patients with lacunar infarction and infarction of the deep border zone. Hijdra et al18 reported that leukoaraiosis on brain CT was significantly more severe in patients with lacunar infarction but less common in patients with cortical infarction. They suggested that leukoaraiosis was associated with small-vessel disease in cerebrovascular disorders. Although infarction of the deep border zone is generally associated with lesions of the large vessels, lacunar infarctions and deep white matter infarctions are associated with arteriosclerosis of deep penetrating arteries. Pathological studies of the white matter showed that arteriosclerotic changes in the long penetrating arteries in the deep white matter were more severe in patients with leukoaraiosis.4 6 25 27 31 34 35 36 37 38 39 Small-vessel disease is generally thought to be caused by arteriosclerosis that results from aging and hypertension. There are also many reports that PVH represents ischemic changes in the white matter that result from arteriosclerosis of the long penetrating arteries.6 25 27 31 34 35 36 37 38 39 Our results support the observation that PVH strongly correlates with arteriosclerosis of deep penetrating arteries.
ECAS is a well-known risk factor for cerebral infarction and TIA. It is thought that severe stenosis or occlusion of the carotid artery leads to decreased cerebral blood flow.26 It is conceivable that the alteration of cerebral blood flow resulting from ECAS leads to the development of PVH,23 24 32 34 36 but the relationship between ECAS and the degree of PVH is still uncertain. Several studies reported contradictory findings concerning this relationship between the degree of PVH and ECAS.9 15 29 31 32 37 Leukoaraiosis on CT was not associated with severe carotid artery stenosis in the North American Symptomatic Carotid Endarterectomy Trial.9 Bogousslavsky et al29 also reported that leukoencephalopathy was not observed in patients with >50% stenosis or occlusion of the extracranial internal carotid arteries. While PVH was evaluated with a grading method in previous studies, we quantified PVH by measuring the distance it extended from the wall of the lateral ventricle. This enabled us to evaluate PVH in detail. Our quantitative analysis also demonstrated that there was no statistical difference between the severity of PVH and ECAS as shown in the previous studies. Therefore, we concluded that there is no relationship between the severity of PVH and carotid stenosis but rather that PVH is linked to small-vessel disease. Generally, it is thought that factors that accelerate the growth of carotid lesions are the same as risk factors for cerebrovascular disease, eg, age, hypertension, diabetes mellitus, and hyperlipidemia.40 41 42 43 44 45 46 However, our results suggest that these risk factors for cerebrovascular disease produce distinct effects on carotid lesions and deep white matter lesions.
We demonstrated that ECAS was not related to severity of PVH in this study, but several points regarding the interpretation of these results should be noted. First, there was a bias in terms of the patient population. Most subjects had CVA or risk factors of CVA such as diabetes and ischemic heart disease, while the number of healthy subjects was small. This type of study should be conducted on healthy subjects in the future. Second, we used the modified method reported by Fukuda et al5 for quantifying PVH They reported that the interrater reliability of measurement of the severity of PVH was excellent, and therefore we believed that the validity of the method was constant. However, we cannot exclude the possibility that measurement of PVH varies according to the condition of obtained images. Third, our sampled data were unbalanced. We therefore used nonparametric methods for statistical analysis. It may be necessary to add subjects to resolve the problem of an unbalanced number of subjects.
In conclusion, the severity of PVH was correlated with age, hypertension, and history of cerebrovascular complications. ECAS was not significantly related to severity of PVH. PVH was significantly greater in cases with lacunar infarction and infarction of the deep border zone. These results suggest that lesions in small vessels rather than large vessels underlie the pathogenesis and development of PVH.
| Selected Abbreviations and Acronyms |
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| Acknowledgments |
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| Footnotes |
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References 2, 5, 8, 11-13, 22, 23, 29, 33, 34.
Received May 2, 1997; revision received July 11, 1997; accepted August 6, 1997.
| References |
|---|
|
|
|---|
2.
Gerard G, Weisberg LA. MRI
periventricular lesions in adults.
Neurology. 1986;36:998-1001.
3.
Pantoni L, Garcia JH. The significance of
cerebral white matter abnormalities 100 years after Binswanger's
report: a review. Stroke. 1995;26:1293-1301.
4.
Awad IA, Johnson P, Spetzler RF, Hodak JA.
Incidental subcortical lesions identified on magnetic resonance imaging
in the elderly, II: postmortem pathological correlations.
Stroke. 1986;17:1090-1097.
5.
Fukuda H, Kobayashi S, Okada K, Tsunematsu T.
Frontal white matter lesions and dementia in lacunar
infarction. Stroke. 1990;21:1143-1149.
6.
Rom
n GC. From UBOs to Binswanger's disease:
Impact of magnetic resonance imaging on vascular dementia
research. Stroke. 1996;27:1269-1273.
7. George AE, de Leon MJ, Gentes CI, Miller J, London E, Budzilovich GN, Ferris S, Chase N. Leukoencephalopathy in normal and pathologic aging, I: CT of brain lucencies. AJNR Am J Neuroradiol. 1986;7:561-566.[Abstract]
8.
Longstreth WT Jr, Manolio TA, Arnold A, Burke GL,
Bryan N, Jungreis CA, Enright PL, O'Leary D, Fried L, for the
Cardiovascular Health Study Collaborative Research
Group. Clinical correlates of white matter findings on cranial magnetic
resonance imaging of 3301 elderly people: the
Cardiovascular Health Study. Stroke. 1996;27:1274-1282.
9.
Streifler JY, Eliasziw M, Benavente OR, Hachinski VC,
Fox AJ, Barnett HJM, for the North American Symptomatic
Carotid Endarterectomy Trial. Lack of relationship
between leukoaraiosis and carotid artery disease. Arch
Neurol. 1995;52:21-24.
10.
Sarpel G, Chaudry F, Hindo W. Magnetic resonance
imaging of periventricular hyperintensity in a Veterans
Administration Hospital population. Arch Neurol. 1987;44:725-728.
11.
Kinkel WR, Jacob L, Polachini I, Bates V, Heffiner
RR. Subcortical arteriosclerotic
encephalopathy (Binswanger's disease). Arch Neurol. 1985;42:951-959.
12. van Swieten JC, Geyskes GG, Derix MMA, Peeck BM, Ramos LMP, van Latum JC, van Gijn J. Hypertension in the elderly is associated with white matter lesions and cognitive decline. Ann Neurol. 1991;30:825-830.[Medline] [Order article via Infotrieve]
13.
Almkvist O, Wahlund LO, Lundman GA, Basun H, Backman
L. White-matter hyperintensity and neuropsychological functions
in dementia and healthy aging. Arch Neurol. 1992;49:626-632.
14.
Awad IA, Spetzler RF, Hodak JA, Awad CA, Carey
R. Incidental subcortical lesions identified on magnetic
resonance imaging in the elderly, I: correlation with cerebrovascular
risk factors. Stroke. 1986;17:1084-1089.
15. Lindgren A, Roijer RF, Rudling O, Norrving B, Larsson EM, Eskilsson J, Wallin L, Olsson B, Johansson BB. Cerebral lesions on magnetic resonance imaging, heart disease, and vascular risk factors in subjects without stroke: a population-based study. Stroke. 1994;25:929-934.[Abstract]
16. Manolio TA, Kronmal RA, Burke GL, Poirier V, O'Leary DH, Gardin JM, Fried LP, Steinberg EP, Bryan N. Magnetic resonance abnormalities and cardiovascular disease in older adults: the Cardiovascular Health Study. Stroke. 1994;25:318-327.[Abstract]
17.
Kertesz A, Black SE, Tokar G, Benke T, Carr T,
Nicholson L. Periventricular and subcortical
hyperintensities on magnetic resonance imaging: "rims, caps, and
unidentified bright objects.' Arch Neurol. 1988;45:404-408.
18.
Hijdra A, Verbeeten B Jr, Verhulst JAPM.
Relation of leukoaraiosis to lesion type in stroke patients.
Stroke. 1990;21:890-894.
19.
Schmidt R, Fazekas F, Kleinert G, Offenbacher H, Gindl
K, Payer F, Freidl W, Niederkorn K, Lechner H. Magnetic
resonance imaging signal hyperintensities in the deep and subcortical
white matter: a comparative study between stroke patients and normal
volunteers. Arch Neurol. 1992;49:825-827.
20.
Sullivan P, Pary R, Telang F, Rifari AH, Zubenko
GS. Risk factors for white matter changes detected by magnetic
resonance imaging in the elderly. Stroke. 1990;21:1424-1428.
21.
Fukuda H, Kitani M. Differences between treated
and untreated hypertensive subjects in the extent of
periventricular hyperintensities observed on brain
MRI. Stroke. 1995;26:1593-1597.
22.
Inzitari D, Diaz F, Fox A, Hachinski VC, Steingart A,
Lau C, Donald A, Wada J, Mulic H, Merskey H. Vascular risk
factors and leukoaraiosis. Arch Neurol. 1987;44:42-47.
23.
Kobari M, Meyer JS, Ichijo M. Leuko-araiosis,
cerebral atrophy, and cerebral perfusion in normal aging.
Arch Neurol. 1990;47:161-165.
24.
Hijdra A, Verbeeten B Jr. Leukoaraiosis and
ventricular enlargement in patients with ischemic
stroke. Stroke. 1991;22:447-450.
25.
Furuta A, Ishii N, Nishihara Y, Horie A.
Medullary arteries in aging and dementia. Stroke. 1991;22:442-446.
26. Leblanc R, Yamamoto YL, Tyler JL, Diksic M, Hakim A. Borderzone ischemia. Ann Neurol. 1987;22:707-713.[Medline] [Order article via Infotrieve]
27.
Gupta SR, Naheedy MH, Young JC, Ghobrial M, Rubino FA,
Hindo W. Periventricular white matter changes and
dementia: clinical, neuropsychological, radiological, and pathological
correlation. Arch Neurol. 1988;45:637-641.
28.
McQuinn BA, O'Leary DH. White matter lucencies
on computed tomography, subacute
arteriosclerotic encephalopathy (Binswanger's
disease), and blood pressure. Stroke. 1987;18:896-899.
29. Bogousslavsky J, Regli F, Uske A. Leukoencephalopathy in patients with ischemic stroke. Stroke. 1987;18:896-899.
30.
Schmidt R, Fazekas F, Offenbacher H, Lytwin H, Blematl
B, Niederkorn K, Horner S, Payer F, Freidl W. Magnetic resonance
imaging white matter lesions and cognitive impairment in hypertensive
individuals. Arch Neurol. 1991;48:417-420.
31. Isaka Y, Okamoto M, Ashida K, Imaizumi M. Decreased cerebrovascular dilatory capacity in subjects with asymptomatic periventricular hyperintensities. Stroke. 1994;25:375-381.[Abstract]
32. Fazekas F, Niederkorn K, Schmidt R, Offenbacher H, Horner S, Bertha G, Lechner H. White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. Stroke. 1988;19;1285-1288.
33. Kobari M, Meyer JS, Ichijo M, Oravez WT. Leukoaraiosis: correlation of MR and CT findings with blood flow, atrophy, and cognition. AJNR Am J Neuroradiol. 1990;11:273-281.[Abstract]
34. Brun A, Englund E. A white matter disorder in dementia of the Alzheimer type: a pathoanatomical study. Ann Neurol. 1985;19:253-262.
35.
DeReuck J, Schaumburg HH.
Periventricular atherosclerotic
leukoencephalopathy. Neurology. 1972;22:1094-1097.
36.
Kawamura J, Meyer JS, Terayama Y, Weathers S.
Leukoaraiosis correlates with cerebral hypoperfusion in vascular
dementia. Stroke. 1991;22:609-614.
37.
De Reuck J, Crevits L, De Coster W, Sieben G, Eecken
HV. Pathogenesis of Binswanger chronic progressive subcortical
encephalopathy. Neurology. 1980;30:920-928.
38.
Baloh RW, Vinters HV. White matter lesions and
disequilibrium in older people, II: clinicopathologic
correlation. Arch Neurol. 1995;52:975-981.
39.
Scheltens P, Barkhof F, Leys D, Wolters EC, Ravid R,
Kamphorst W. Histopathologic correlates of white matter changes
on MRI in Alzheimer's disease and normal aging.
Neurology. 1995;45:883-888.
40.
Handa N, Matsumoto M, Maeda H, Hougaku H, Ogawa S,
Fukunaga R, Yoneda S, Kimura K, Kameda T. Ultrasonic evaluation
of early carotid atherosclerosis.
Stroke. 1990;21:1567-1572.
41. R Salonen, JT Salonen. Determinants of carotid intima-media thickness: a population-based ultrasonography study in Eastern Finnish men. J Intern Med. 1991;229:225-231.[Medline] [Order article via Infotrieve]
42. O'Leary DH, Polak JF, Kronmal RA, Kittner SJ, Bond MG, Worfson FK Jr, Bommer W, Price TR, Gardin JM, Savage PJ, for the Cardiovascular Health Study, Collaborative Research Group. Distribution and correlates of sonographically detected carotid artery disease in the cardiovascular health study. Stroke. 1992;23:1752-1760.
43.
Crouse JR, Toole JF, McKinney WM, Dignan MB, Howard G,
Kahl FR, McMahan MR, Harpold GH. Risk factors for extracranial
carotid artery atherosclerosis.
Stroke. 1987;18:990-996.
44.
Duncan GW, Lees RS, Ojemann RG, David SS.
Concomitant of atherosclerotic carotid artery stenosis.
Stroke. 1977;8:665-669.
45.
Candelise L, Bianchi F, Galligoni F, Albanese V,
Bonelli G, Bozzao L, Inzitari D, Mariani F, Rasura M, Rognoni F,
Sangiovanni G, Fieschi C. Italian multicenter study on
reversible cerebral ischemic attacks, III: influence of age
risk factors on cerebrovascular
atherosclerosis. Stroke. 1984;15:379-382.
46.
Tell GS, Crouse JR, Furberg CD. Relation between
blood lipids, lipoproteins, and cerebrovascular
atherosclerosis: a review. Stroke. 1988;19:423-430.
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