Neuroradiology Lars-Olof Wahlund, Lars Forssell, MD2
MD #{149} Jan
The Brain MR Imaging’
#{149}
Ingrid
terms: Aging MR studies,
Radiology
1990;
#{149} Brain, 10.1214
anatomy,
PhD
#{149} Ove
10.92.
174:675-679
Almqvist, BA #{149} Hans Wetterberg, MD
#{149} Lennart
in Healthy
Twenty-four healthy aged individuals with above-average intellectual function were studied with use of a low-field-strength (0.02-T) magnetic resonance (MR) imager. The group was carefully selected so as not to include persons with signs of arteriosclerotic diseases, major somatic disease, or a history of brain disease or dementia in the family. The width of the subarachnoid spaces and lateral ventricles, as well as the frequency and degree of brain white-matter lesions, were described with the use of a visual rating scale. White matter lesions were found in less than 9% of the subjects. The lateral brain ventricles were enlarged in 8% of all individuals and the cortical cerebrospinal fluid (CSF) spaces in more than 40% of all individuals. Moreover, Ti and T2 were estimated in different brain areas, and a positive correlation between Ti in the frontal white matter and age was found. A computer-assisted classification procedure was used to estimate brain tissue and CSF areas. The results of this procedure strongly correlated with the visually estimated ventricular size. Index Brain,
MD
Agartz,
S#{227}#{227}f, Dr Mcd,
Aged
M
resonance (MR) imagallows for an excellent visualization of brain anatomy and has been widely used in the study of both the pathologically altered, as well as the normal, brain. Morphologic changes of the aging brain indude widening of the sulci and enlargernent of the ventricles (1). These changes are easily monitored with MR imaging. The technique is also sensitive in detection of lesions in the white matter. The prevalence of these lesions is high in the elderly (1). In many studies with MR imaging of different brain pathologic conditions, the examined control subjects have exhibited white-matter lesions (WMLs) in 30%-80% (1-3). The variation among the studies might be explained by differences in the criteria of the selection of the control subjects. Individuals with diseases that affect the morphology of the brain may have been included in some of the studies. As a part of a larger study on demented patients, we have examined a group of healthy aged individuals. Aged control subjects with a minimal AGNETIC
for
dementia
in an
early
stage,
as
well as a minimal risk for cemebmovasculam changes, were selected. In the pmesent study, we describe the momphology of the brain seen at MR imaging, as well as MR relaxation times, in the selected group of healthy aged individuals. MATERIALS
AND
METHODS
Subjects From the Karolinska Institute, Department of Psychiatry, St G#{244}ran’sHospital, Box 12500, 5-11281 Stockholm, Sweden. Received June 16, 1989; revision requested August 1; revision received October 16; accepted October 26. Supported in part by Claes Groschinsky and the Karolinska Institute. Address reprint requests to LOW. 2 Current address: Department of Geriatrics, Huddinge, Hospital, Huddinge, Sweden. I
e
RSNA,
1990
Twenty-four individuals (16 women and eight men) participated in the study. The mean age was 79 years (range, 75-85 years). An original sample of iOO persons who considered themselves as having an intact memory recruited from
and being healthy were the community. They
were interviewed by one of the authors (H.B. or L.F.) and examined according to the
six items
in Table
MD
.
Individuals:
ing
risk
Basun,
i.
were excluded according to the exclusion criteria: (a) Individuals with a positive family history of dementia or a history of brain trauma, brain disease, or psychiatric disease. (b) Individuals with a history or signs of arteriosclerosin or persons who were receiving any kind of medication. (c) Individuals who did not have normal clinical examination and functional test results, as described in Table i. A final sample of 24 persons remained in the study. The investigation was approved by the local ethics committee. Blood pressure and serum glucose, tnglyceride, and cholesterol levels of the healthy individuals are presented in Table 2. There were no significant differences between the sexes concerning these Persons
following
results.
MR
Imaging
A low-field-strength MR imager operating at 0.02 T (Acutscan hO; Instrumentarium, Helsinki) was used. To obtain a high contrast between brain tissue and cerebrospinal fluid (CSF) and between brain tissue and WMLS, a T2-weighted spin-echo (SE) sequence was used with a repetition time (TR) of 2,000 msec and an echo time (TE) of i50 msec (TR/TE = 2,000/i50). The brains were examined with 12 contiguous transaxial sections. The section thickness was 10 mm. Rating
of CSF
Spaces
The degree of brain atrophy was estimated by rating the width of the different CSF spaces around the brain hemispheres and the size of the lateral ventricles with the use of a visual rating scale (Agartz et al, unpublished data, 1989). The rating scale is presented in Table 3. The CSF spaces rated are presented in Table 4. To describe larger anatomic brain areas, the following clustered items were used: (a) The size of the CSF space around the
Abbreviations: CSF cerebrospinal fluid, IR = inversion recovery, ROI region of interest, SD = standard deviation, SE spin echo, TE echo time, TI = inversion time, TR repetition time, WAIS-R Wechsler Adult Intelligence Scale-revised, WML white-matter lesion.
675
frontal lobes was estimated by items 2 and 5 (Table 4). (b) The size of the total cortical
CSF
space
was
estimated
by
system
items
2, 3, 4, 5, and 6 (Table 4) clustered together. WMLS are demonstrated with MR imaging as focal or confluent areas of high signal intensity on T2-weighted images, often in the deep white matter. These signal intensity changes might be adjacent to the lateral ventricles and are, in these cases, named periventricular hyperintensity. In the present study, these two findings (WMLS and periventricular hyperintensity) are lumped together and called WMLS. The degree of WMLS in the brains was visually estimated as described in Table 5. All images were viewed by two of the authors (L.O.W., l.A.). The ratings were independently and blindly assessed. The raters’ intemreliability was, in the present study, 80%.
Relaxation
Time
inversion
recovery
(IR)
im-
an image
processor
(GOP-
300; Teragon-Context, Linkoping, Sweden). The regions of interest (ROIs) were drawn as irregular forms or marked pixelwise by using the computer (GOP-300). The ROIs were drawn in the image that exhibited
an optimal
white
matter-gray
matter contrast, usually an SE 2,000/100 image (Fig i). Measurements were made from the following areas: left and right frontal white matter, left and right head of caudate nucleus, and left and right thalamus
(the
medioposterior
part).
of estimations
from
right posterior white matter, clustered together and called white matter. Area
the
left
676
Radiology
#{149}
delineation
classifica-
in a previous report an image-processing
based on used, and telligence
system
of CSF and The number of tissue and CSF)
three
Psychometric
were
State
tested
with
Examination,
mean
tamed
indicated
Scale-revised
formation,
Digit
Design, stitution)
(Associative
Statistical The Student
well
t test
Learning
the
rank
and
Serum
as
test, were
tests:
calcium, creatinine,
used
glucose,
sodium,
potassium,
phosphate, ASAT,
triglyceride
RESULTS
Tests
The results of the psychometric tests are presented in Table 6. Three indexes have been calculated from the subtests of the WAIS-R: The FullScale Intelligence Quotient is based
iron, ALAT,
thyroid
mones, vitamin B32, folic Urinalysis: glucose, protein, scopic examination Routine ECG and EEC Chest radiography Psychometric tests (MMSE, WMS)
used, the Quotient
of
Procedures
chloride, albumin,
cholesterol,
on all the six subtests bal Scale Intelligence
Spaces
Physical examination, including neurologic status Blood tests: blood hemoglobin, sedimentation rate, erythrocyte indexes (MCHC, MCV), complete blood cell count
for correlations.
Psychometric
memory
and
Mann-Whit-
for differences, coefficient,
as the Spearman
of CSF
Examination
and
and
Table 1 Procedures Used in Examination 24 Participating Individuals
(7).
were used correlation
of gen-
(InBlock
Analyses
ney U test the Pearson
ob-
level
2.
Object Assembly, and Digit Sub(6) and two subtests of Wechsler Scale
function
The
were
The results of the ratings of the different CSF spaces are presented in Table 7. A representative image from an investigation is shown in Figure
also tested (O.A.) Adult
Similarities,
Reproduction)
that a high
cognitive
Estimation
Mini
(WAIS-R)
Span,
subtests.
values
function.
as described
by Folstein et al (5). They were by an experienced psychologist with six subtests of the Wechsler
Intelligence
the
performance
era!
Tests
All subjects
Mental
the three verbal subtests the Performance Scale InQuotient is based on the
group
class (brain tissue or CSF) was divided by the number of pixels in the whole brain (brain tissue and CSF).
Table 2 Blood Pressure and Healthy Individuals
hor-
acid, syphilis pH, micro-
WAIS-R,
and
Note.-MCHC mean corpuscular hemoglobin concentration, MCV mean corpuscular volume, ASAT aspartate aminotransferase, ALAT alanine aminotransferase, ECG = electrocardiogram, EEC electroencephalogram, MMSE = Mini Mental State Examination, WAIS-R Wechsler Adult Intelligence Scale-Revised, WMS Wechsler Memory Scale.
Veris
Levels
of Glucose,
Triglycerides,
and Cholesterol
Table Visual
are given
in 24
Level
Systolic blood pressure Diastolic blood pressure Glucose (mmol/L) Triglycerides (mmol/L) Cholesterol (mmol/L) as mean
(mm Hg) (mm Hg)
± standard
157 85 5.4 1.2 6.1 deviation
(SD),
with
ranges
± ± ± ± ±
25 (120-190) 1 1 (70-100) 0.9 (3.4 ± 5.5) 0.4 (0.6-2.4) 0.2(4.2-8.2) in parentheses.
3 Rating
Ventricular
Scale
Used
for
Size in Healthy
Estimation of Size Aged Individuals
Alteration Normal Normal
Width
Width
(4).
Serum
Parameter
Note-Values
of computer-assisted
The
was assessed. To standardize the calculated areas, the number of pixels in each
these were posterior
To assess the accuracy of the visual rating scale, a method for planimetric measurements of the CSF spaces and brain tissue was invented. A transaxial section through the basal ganglia was selected, and two different pulse sequences were obtained, one T2-weighted (SE 2,000/200) and one Ti-weighted (IR 1,500/40/600). These images were then used as a basis for tissue classification according to the tion, as described For this purpose,
objective
and
Measurements
method
used.
CSF
from the subarachnoid space or lateral ventricles was not included when delineating the ROIs, and if this was not possible, these regions were not included in the statistical analysis. Due to the limited number
was
to recognize two classes, and CSF. In this way, an auto-
tissue was obtained. in each class (brain
Visual
ages with different inversion times (TIs) were used for Ti calculations (IR 1,500/ 40/50, 300, 600 [TRITE/TI]). The relaxation time calculations were made with least-squares nonlinear regression analysis by using
matic, brain pixels
Memory
Estimations
One transaxial section through the basa! ganglia was selected, and in this section, three T2-weighted images with a different TE (single-section and singleecho technique) were obtained to calculate T2 (SE 2,000/100, 150, and 200). Three Ti-weighted
(GOP-300)
was trained brain tissue
Width
width width or size
or size or size, slightly enlarged larger than normal or size considerably larger than normal or size extremely larger than normal
of Subarachnoid
Spaces
and
Score 1 1.5 2 2.5 3
March
1990
The
male
subjects
larger ventricles female subjects sex differences concerned the
persons
had
(score, space ened
2). In three cases, the CSF of the temporal lobes was wid(score, 2). When the size of the
space
Table 4 Visually
Rated
Brain
1 2 3 4 5
Frontal
sulci
6
Parietal
sulci
Note-Numbers
ence
correspond
to those
in
total
cortex moderately
(score, (score,
Relaxation
ventricles
had
were
changes changes
No
considered
Time
between
8. Ti and
have a normal total cortical CSF space (score, 1). Two individuals hibited multiple, discrete lesions (score, 2) (Fig 3), and all the other
cantly frontal right
longer white frontal
Area
Measurements
Table
of Psychometric Persons
of 24
Tests
Test
Mean
MMSE FSIQ VSIQ PSIQ AL VR
28 111 113 105 15 8
Range 27-30 96-146 95-150 81-132 8-21 4-13
Note.-MMSE Mini Mental State Examination, FSIQ = Full-Scale Intelligence Quotient from WAIS-R, VSIQ Verbal Scale Intelligence Quotient from WAIS-R, PSIQ Performance Scale Intelligence Quotient from WAIS-R, AL Associative Learning from Wechsler Memorefer-
ry
2.
Scale,
Wechsler
VR
Visual
Memory
Reproduction
sexes
T2 did
not
dif-
when estimated in side. The T2 in the matter was signifi-
than the T2 in the left matter, as well as in the white matter (P < .003).
The computer-assisted area measurements of the lateral ventricles in one selected section correlated significantly (r5 = .82, P < .0009) with the rating scores of the size of the lateral ventricles (item 1) (Fig 4). The ratio of the area of the ventricles to that of the whole brain was 0.053 ± 0.014 (mean ± SD) for those individuals, with the estimated ventricle size (item 6) rated as 1.0 and 0.094 ± 0.027 if the size of the ventricles was rated
6
Results Healthy
the
The mean and 1 SD of Ti and T2 times from brain areas are present-
ed in Table
ex-
no
solitary
Values
differences
were found. the estimated the different
was
to have
)
1 or small 1.5).
fer significantly the left or right posterior white
Structure
Lateral ventricles Interhemispheric fissure anterior to the corpus callosum Left and right sylvian fissures Occipital sulci
the
23 persons
persons
large or larger spaces, and one mdividual had a considerably enlarged CSF space; none was considered to
CSF Spaces
Item
enlarged
around
estimated,
1. ROIs, marked in an SE 2,000/100 image, used for estimation of the relaxation times in different brain areas (left and right frontal white matter, left and right head of caudate nucleus, left and right dorsomedial thalamus, and posterior white matter).
significantly
Two
CSF
Figure
had
compared with the (P < .02). No other were detected that remaining CSF spaces.
Table
from
Scale.
7
Visually
Estimated
Degree
of WMLS
CSF Spac es and Score
Table Visual
5
Brain
Rating
Scale
Used
for Describing
Degree
Alteration No
white
matter
1
changes
matter changes changes
:
1
1.5
2
2.5
3
13 15 22 0 13
9 6 2 12 9
2 3 0 11 2
0 0 0 1 0
0 0 0 0 0
1.5 2 2.5 3
changes
WMLS
Note-Values with the respective
of
individuals
are numbers score.
T
.p,-
,,
Ventricles Temporal lobes Frontal lobes Totalcortex
Score
Small solitary white matter changes Multiple discrete or large solitary white Multiple, partly confluent white matter Multiple, large confluent white matter
Structure
of WMLS
.
I
A
-t
,-‘: 0
-4
A p
7’
.
.
Figure tion were
2.
Transaxial
of the size considered
Volume
174
sections
of the CSF spaces normal (score,
Number
#{149}
3
of the brain in the 1).
V
of an 80-year-old
brain.
Four
sections
healthy are
shown,
volunteer. and
These both
the
T2-weighted lateral
ventricles
images and
(2,000/150) the
different
were used for estimasubarachnoid
Radiology
spaces
677
#{149}
as 1.5. Moreover, subjects
the
(0.105
ratio
± 0.034)
cantly
larger
(0.063
± 0.023)
in male
was
signifi-
women, a finding that the findings of Creasey
subjects
Two
than in female (P < .005).
individuals
nificant
sults Correlations Theme were no correlations between the size of either of the CSF spaces and the clinical parameters. There were no correlations between the results of the Mini Mental State Examination and any of the CSF spaces. Age did not correlate with the size of the CSF spaces, the degree of the WMLs, or the clinical and psychometnic tests findings. Concerning
Ti
and
T2 in the
were
exhibited
(score,
indicated
the
re-
frequency
WMLs is not dependent alone. Other factors (eg, rotic risk factors, family
dementia, previous brain diseases) may also play a role in the development of these changes. This emphasizes the importance of the selection of and the description of an agematched control group when compared with elderly demented patients.
sig-
2). These
that
of
on age arteniosciehistory of
in-
vestigated areas, only the frontal white matter (both left and right) correlated significantly with age (r .64,P