| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Stroke. 2000;31:695.)
© 2000 American Heart Association, Inc.
Original Contributions |
From the Departments of Radiology (R.M., O.S., H.J.A., C.-G.S.-N.) and Clinical Neurosciences, Memory Research (T.P., R.V., T.E.) and Stroke (M.K.) Units, Helsinki University Central Hospital, Helsinki, Finland; and the Department of Clinical Radiology (H.J.A.), Kuopio University Hospital, Kuopio, Finland.
Correspondence to Dr R. Mäntylä, Department of Radiology, University of Helsinki, Haartmaninkatu 4, FIN-00290 Helsinki, Finland. E-mail riitta.mantyla{at}helsinki.fi
| Abstract |
|---|
|
|
|---|
MethodsThree hundred nineteen patients were studied 3 months after supratentorial ischemic stroke with the use of 1.0-T MRI. Brain infarcts, atrophy, white matter hyperintensities, and PHI were registered. The clinical outcome was assessed 3 and 15 months after the stroke.
ResultsOf the patients, 152 (47.6%) had PHI. The risk factors
for stroke did not differ in patients without or with PHI. PHI was
related to a higher frequency (P=0.002) and larger
volume (P<0.001) of supratentorial
brain infarcts, to parietal (P=0.020) and temporal
(P=0.002) atrophy, to central atrophy
(P
0.040), and to white matter hyperintensity grade
(P<0.001). Brain infarcts that affected the corpus
striatum (putamen, caudate, and pallidum) (P
0.011) or
pyramidal tract (P<0.001) were more
frequent in patients with PHI. The 3- and 15-month outcomes were worse
in patients with PHI (P
0.004). The total volume of
brain infarcts (OR 1.22), mean atrophy (OR 3.59), and PHI (OR 3.76)
were independent correlates of a poor 15-month outcome.
ConclusionsPHI after supratentorial ischemic stroke deserves attention because it relates to poor clinical outcome.
Key Words: brain stem magnetic resonance imaging stroke, ischemic wallerian degeneration white matter
| Introduction |
|---|
|
|
|---|
|
We performed the present study to examine the frequency, risk factors, and radiological and clinical correlates of PHI in patients with ischemic supratentorial stroke.
| Subjects and Methods |
|---|
|
|
|---|
Risk Factors
In each patient, the case history was obtained regarding the
presence of arterial hypertension, myocardial infarction,
heart failure, atrial fibrillation, carotid
atherosclerosis, and diabetes; previous or current
smoking; and daily or weekly use of alcohol. A history of hypertension
was defined as a systolic blood pressure of
160 mm Hg
or a diastolic blood pressure of
95 mm Hg. Diabetes
was defined as a previously documented diagnosis, the current use of
insulin or oral hypoglycemic medication, or a fasting blood glucose
level of >7.0 mmol/L. Carotid atherosclerosis was
considered to be present if there was an occlusion or a clear
stenosis or other atherosclerotic plaque, including an
ulceration of a major extracranial or intracranial artery as seen on a
carotid sonogram or angiogram. Education was divided into 2 categories:
low (0 to 6 years of formal education) and high (>6 years of formal
education).
MRI Examinations
MRI was performed 3 months after stroke at 1.0 T (Magnetom;
Siemens). The imaging protocol included transaxial T2-weighted
(repetition time [TR] 3000 ms, echo time [TE] 90 ms, number of
excitations [NEX] 1), PD- (TR 3000 ms, TE 15 ms, NEX 1), and T1- (TR
400 ms, TE 15 ms, NEX 2) weighted images with conventional spin-echo
technique. The angulation of slices was bicommissural, with slice
thickness of 5 mm, gap of 0, field of view of 230 mm, matrix
size of 256x256 pixels, and 26 slices on every pulse sequence. A
3-dimensional gradient-echo (TR 30, TE 5,
40, NEX 1) sequence that
yielded 64 coronal sections (3 mm thick) was also used.
Brain Infarcts
All MR images were reviewed by the same neuroradiologist (R.M.),
who was blinded to the clinical data. The number, size, site, and type
of focal lesions were recorded. Lesions that were equal to the
signal characteristics of cerebrospinal fluid on T1-weighted images and
measured >3 mm in diameter, as well as wedge-shaped
corticosubcortical lesions, were regarded as brain infarcts. The size
of the lesion was classified into 4 groups according to the diameter: 3
to 9, 10 to 29, 30 to 59, and
60 mm. The radii used for brain
infarct volume calculations were 3, 10, 20, and 30 mm,
respectively (formula for calculating the volume of ball).
The sites included lobes (corticosubcortical lesions in frontal, parietal, temporal, and occipital lobes), vascular territories (deep and superficial anterior cerebral artery [ACA], middle cerebral artery [MCA], and posterior cerebral artery [PCA] areas, as well as internal carotid artery [ICA] and border zone areas), and specific locations (putamen, caudate, pallidum, thalamus, genu of internal capsule, anterior and posterior capsules, anterior and posterior corona radiata, and anterior and posterior centrum semiovale).8 9 10 11
The histories of the patients previous and present strokes were reviewed together with the board-certified neurologist (T.P.) and neuroradiologist (R.M.), and the infarcts compatible with the patients present symptoms were defined as related infarcts.
White Matter Hyperintensities
White matter (WM) hyperintensities (WMHIs) were rated on
PD-weighted images in 6 WM areas: around the frontal and posterior
horns, along the bodies of lateral ventricles, and in deep, watershed,
and subcortical WM areas.7
Periventricular hyperintensities (PVHIs) around the frontal
and posterior horns were classified on the basis of size and shape into
small cap (
5 mm), large cap (6 to 10 mm), and extending cap
(>10 mm). PVHIs along the bodies of lateral ventricles were
classified on the basis of thickness and shape into thin lining
(
5 mm), smooth halo (6 to 10 mm), and irregular halo
(>10 mm).
WMHIs in the subcortical, deep, and watershed areas were classified on
the basis of size (greatest diameter) and shape into small focal
(
5 mm), large focal (6 to 10 mm), focal confluent (11 to
25 mm), diffusely confluent (>25 mm), and extensive WM
change (diffuse hyperintensity without distinct focal lesions affecting
the majority of WM area). The number of each type of WMHIs was counted,
and extensive WM change was rated as absent or
present.6 7
The extent of WMHIs was graded with the 4-point scale proposed by Fazekas et al,6 12 13 and the mean WMHI score was the mean of WMHI grades in different WM regions.
Pontine Hyperintensity
PHI was defined as hyperintensity without distinct borders on
T2-weighted images, without or with only minor corresponding
hypointensity on T1-weighted images (Figure 1
). Well-demarcated
hyperintense lesions in the pons on T2-weighted images with a
corresponding T1-weighted hypointensity that approached the signal
characteristics of cerebrospinal fluid were regarded as
infarcts1 (Figure 2
),
and patients with these lesions were not included in the first
analysis.
|
Brain Atrophy
Brain atrophy was rated visually from 0 to 3 (none, mild,
moderate, or severe) through a comparison with standard images.
Cortical and central brain atrophy were rated separately: cortical
atrophy in frontal, parietal, and occipital lobes, in temporal
neocortex; and entorhinal cortex (parahippocampal gyrus) and
hippocampal formation as well as in cerebellum and vermis; and central
atrophy in temporal, frontal, and occipital horns of the lateral
ventricles, as well as the bodies, and in the third and fourth
ventricles. Temporal atrophy was evaluated on 3 coronal slices (the
slice showing the interpeduncular cistern and ±1
slice).14 15 The mean of the atrophy scores (central,
cortical, and temporal) was regarded as the mean cerebral atrophy
value.
The intraobserver and interobserver reliabilities for the rating of
PHI, WMHIs, and atrophy were tested through an independent review of 60
MRI scans by the same rater (R.M.) and by a board-certified
neuroradiologist (O.S.) and a general radiologist (H.J.A.). Assessments
were made in different sessions, and for the intraobserver reliability,
the time interval between first and second ratings was
4 weeks. The
intraobserver and interobserver agreements for PHI were very good
(intraobserver
=0.97, interobserver
=0.93; R.M. and O.S.). The
weighted
values for intraobserver agreement were 0.90 to 0.95 for
WMHIs and 0.75 to 0.82 for atrophy. The corresponding
values for
interobserver agreement were 0.72 to 0.84 for WMHIs and 0.61 to 0.74
for atrophy (R.M., O.S., and H.J.A.).6 7
Outcome
The clinical outcome was assessed by a board-certified neurologist
(T.P. or R.V.). Social functioning was assessed on the basis of
patients ability to work, the patients ability to perform the
instrumental activities of daily living (IADL) and activities of daily
living (ADL) on the basis of an interview with the patient and with a
knowledgeable informant, and the neurologists examination.
Assessments were used that reflected functions before and 3 months
after the index stroke. Scales that were used included the Index of ADL
(rating from 1 to 7),16 the IADL Scale (maximum
8),17 the Functional Activities Questionnaire (maximum
30),18 and the Blessed Functional Activity Scale
(maximum 17).19 20 In addition, the neurologist completed
the Barthel Index (maximum 100).21 Stroke-related
impairment was also assessed with the National Institutes of Health
Stroke Scale,22 the Scandinavian Stroke Scale (maximum
58),23 and the Rankin scale (maximum 5).24
The clinical outcome at 15 months after stroke was assessed in 289
patients (25 patients had died and 5 patients could not be reached).
The outcome was assessed by an interview (R.V.) with the patient, and
the scales included the Barthel Index and Rankin scale.
Statistical Analysis
We compared patients without and with PHI. The
2 test was used for categorical data, and the
t test was used for continuous data. Differences in WMHI
grades and in atrophy in patients without and with PHI were assessed
with the Mann-Whitney U test.
Statistical tests were performed with BMDP New System 1.1, BMDP Classic,25 and SPSS for Windows 7.0.26 A level of P<0.05 was regarded as statistically significant.
| Results |
|---|
|
|
|---|
The mean age, sex, level of education, and risk factors for stroke did
not differ between patients without or with PHI (Table 1
).
|
Of the PHI-positive patients, 61.6% had
1 cortical infarct, and
78.8% had
1 subcortical infarct. The corresponding values for
PHI-negative patients were 59.3% and 70.1%. The difference in the
prevalence of cortical (P=0.674) or subcortical
(P=0.075) infarcts between PHI-positive and PHI-negative
patients was not significant.
Patients with PHI had a higher frequency and volume of both all and related ipsilateral brain infarcts. Higher frequencies of infarcts were found in the frontal (P<0.001), parietal (P<0.001) and temporal (P=0.017) lobes, as well as in the vascular territories of the superficial branches of ACA (P=0.018) and MCA (P=0.002) and the deep branches of MCA (P=0.002) and ICA (P<0.001). Lesions that affected the corpus striatum (putamen P<0.001, caudate P=0.011, pallidum P<0.001), as well as structures related to the pyramidal tract (posterior capsule P<0.001, corona radiata P<0.001), were more common in patients with PHI.
Patients with PHI had more severe cortical atrophy in parietal (P=0.020) and temporal (P=0.002) lobes, as well as in entorhinal (P=0.006) and hippocampal (P=0.011) areas. The lateral ventricles (P=0.001 to 0.040), temporal horns (P<0.001), and third ventricle (P=0.008) were larger in patients with PHI, reflecting more severe central atrophy. The extent of supratentorial white matter changes was more severe (P<0.001) in all WM areas in patients with PHI.
The prestroke ADL assessed with the ADL, IADL, Blessed Functional
Activity Scale, and Barthel index scales did not differ between the 2
patient groups (Table 2
). However, the
3-month outcome assessed with all 8 outcome scales and the 15-month
outcome assessed with the Rankin scale and Barthel Index were worse in
patients with PHI (P
0.004). There was no difference in
mortality rates between patients with and without PHI
(P=0.661).
|
To determine whether PHI has an independent impact on a poor clinical
outcome, we used a multivariate logistic regression
analysis (Table 3
). The patients
were divided into 2 groups according to disability as measured with the
Rankin scale (Rankin 1 to 2 and 3 to 5), and the variables in the
model were age, mean cerebral atrophy, mean WMHI score, total volume of
all and related brain infarcts, and PHI. The independent predictors for
a poor 15-month outcome (Rankin 3 to 5) were the total volume of brain
infarcts (OR 1.22, 95% CI 1.139 to 1.315), mean cerebral atrophy (OR
3.59, 95% CI 2.252 to 5.729), and PHI (OR 3.76, 95% CI 2.004 to
7.074).
|
After the first analysis, we included patients with pontine infarcts in the PHI-positive group (n=77); this did not change the results. The 3-month outcome assessed with all 8 outcome scales and the 15-month outcome assessed with the Rankin scale and the Barthel Index were worse in patients with PHI.
| Discussion |
|---|
|
|
|---|
The concept of "pontine ischemic rarefaction" was introduced in 1995 by Pullicino et al28 in a series of 85 elderly patients. Of these patients, 16 had PHI, and 2 patients were examined histopathologically. The pathological changes in the pons were consistent with a subcortical arteriosclerotic encephalopathylike pathology, characterized with myelin pallor and reactive astrocytosis compatible with ischemic damage. A small portion of the PHI represented WD of the crossing fibers.
The term "wallerian degeneration" refers to a process of anterograde degeneration of an axon and its myelin sheath after connection with the cell body has been disrupted.32 In the central nervous system, WD is most often detected in the corticospinal tract after brain infarction, but it can also occur in association with WM diseases, such as multiple sclerosis or progressive multifocal leukoencephalopathy, central nervous system neoplasm, surgery, arteriovenous malformation, and hemorrhage, or it can involve other WM tracts.33
The chronological changes of WD on MRI have been well documented.30 31 Approximately 4 weeks after ictus, decreased signal intensity on T2-30 or PD-weighted31 images can be observed in the ipsilateral brain stem. This hypointensity approaches an isointense stage during 70 to 80 days on all pulse sequences.31 After 81 days, WD can be detected as hyperintensity on T2-weighted images, with or without decreased signal intensity on T1-weighted images.30 31 This bright signal intensity on T2-weighted images is said to persist and can be seen as late as 29 years after brain infarction.29 30
Although the diagnostic problem of PHI has been recognized,34 the studies reporting the frequency and radiological and clinical correlates of PHI are still quite few. In a Japanese study,35 bilateral PHI was found in 29 of 211 (12.9%) poststroke patients. Kwa et al36 reported a frequency of 23% in a series of 229 patients with symptomatic atherosclerosis, and in the series of Pullicino et al,28 the frequency of PHI was 19%. A recent series of 68 patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy reported the corresponding frequency to be 45%.37
In our poststroke cohort, the frequency of unilateral PHI was 14.7%, the frequency of bilateral PHI was 32.9%, and the frequency of any PHI was 47.6%. The high frequency of PHI in our poststroke population suggests that a portion of the changes in the pons represented WD. This impression was also supported by the greater frequency of pyramidal tract lesions in patients with PHI. In this elderly poststroke cohort, even the presence of bilateral PHI could not rule out the possibility of WD, because 63.8% of the patients with bilateral PHI also had bilateral brain infarcts of varying ages. However, a clear, slice-to-slice continuous pyramidal tract hyperintensity, suggesting classic pyramidal tract WD, could be detected in only 37.5% of the patients with PHI.
The mean age and sex and risk factors for stroke did not differ in patients without or with PHI. Instead, PHI was clearly associated with a larger supratentorial infarct load, more advanced WM changes, and more severe parietal and temporal cortical atrophy and supratentorial central atrophy. Similar results in regard to risk factors35 and WM changes35 36 38 have been reported in previous studies.
Ever since the recognition of PHI, a continuous effort has been made to find clinical correlates. In atherosclerotic patients, PHI has been related to problems with equilibrium.38 39 However, it has been admitted that the clinical significance of PHI is difficult to estimate, because PHI usually relates to advanced supratentorial ischemic damage and seldom occurs as an isolated phenomenon.37
High signal intensity along the pyramidal tract after supratentorial hemorrhage or ischemic stroke has been connected with poor prognosis in some studies40 41 but not in all.42 Most of the outcome studies have contained only patients presenting with a classic WD of the corticospinal tract,40 42 a limited number of subjects,40 41 or a short follow-up after stroke.40 42 Our study of 319 poststroke patients is thus far the largest well-defined consecutive series that examined the MRI and clinical correlates of PHI as such and its prognostic value on clinical outcome.
In our study, the total volume of brain infarcts (OR 1.22), mean cerebral atrophy (OR 3.59), and PHI (OR 3.76) were independent correlates of poor clinical outcome measured with the Rankin scale. PHI was also associated with poor clinical outcome regardless of corresponding hypointensity on T1-weighted images. For a patient whose medical treatment has reached its limits, the quality of life probably can be improved only by reducing handicap.43 This can be done best by making realistic plans for the future of the patient with families and caregivers, who constitute an integral part of the poststroke rehabilitation and adaptation process.
In this elderly poststroke cohort, PHI was independently associated with poor clinical outcome. Although nonspecific, poststroke PHI deserves attention, because it clearly prognosticates persistent clinical disability.
| Acknowledgments |
|---|
Received October 7, 1999; revision received December 13, 1999; accepted December 13, 1999.
| References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
P. G. Lindberg, P. H. B. Skejo, E. Rounis, Z. Nagy, C. Schmitz, H. Wernegren, A. Bring, M. Engardt, H. Forssberg, and J. Borg Wallerian Degeneration of the Corticofugal Tracts in Chronic Stroke: A Pilot Study Relating Diffusion Tensor Imaging, Transcranial Magnetic Stimulation, and Hand Function Neurorehabil Neural Repair, December 1, 2007; 21(6): 551 - 560. [Abstract] [PDF] |
||||
![]() |
S. K. Schiemanck, G. Kwakkel, M. W. M. Post, and A. J. H. Prevo Predictive Value of Ischemic Lesion Volume Assessed With Magnetic Resonance Imaging for Neurological Deficits and Functional Outcome Poststroke: A Critical Review of the Literature. Neurorehabil Neural Repair, December 1, 2006; 20(4): 492 - 502. [Abstract] [PDF] |
||||
![]() |
M. C. Kruit, L. J. Launer, M. D. Ferrari, and M. A. van Buchem Brain Stem and Cerebellar Hyperintense Lesions in Migraine Stroke, April 1, 2006; 37(4): 1109 - 1112. [Abstract] [Full Text] [PDF] |
||||
![]() |
H Jokinen, H Kalska, R Mantyla, T Pohjasvaara, R Ylikoski, M Hietanen, O Salonen, M Kaste, and T Erkinjuntti Cognitive profile of subcortical ischaemic vascular disease J. Neurol. Neurosurg. Psychiatry, January 1, 2006; 77(1): 28 - 33. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Vataja, T. Pohjasvaara, R. Mantyla, R. Ylikoski, M. Leskela, H. Kalska, M. Hietanen, H. Juhani Aronen, O. Salonen, M. Kaste, et al. Depression-Executive Dysfunction Syndrome in Stroke Patients Am J Geriatr Psychiatry, February 1, 2005; 13(2): 99 - 107. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Vataja, A. Leppavuori, T. Pohjasvaara, R. Mantyla, H. J. Aronen, O. Salonen, M. Kaste, and T. Erkinjuntti Poststroke Depression and Lesion Location Revisited J Neuropsychiatry Clin Neurosci, May 1, 2004; 16(2): 156 - 162. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2000 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |