DEVELOPMENTAL MEDICINE & CHILD NEUROLOGY
ORIGINAL ARTICLE
Ultrasound detection of white matter injury in very preterm neonates:
practical implications
GERDA VAN WEZEL-MEIJLER 1 | FRANCISCA T DE BRU°NE 2 | SYLKE J STEGGERDA 1 | ANNETTE VAN DEN
BERG-HUYSMANS 2 | SIJME ZEILEMAKER 1 | LARA M LEIJSER 1 | JEROEN VAN DER GROND 2
1 Department of Paediatrics, Subdivision of Neonatology, Leiden University Medical Center, Leiden, The Netherlands. 2 Department of Radiology, Subdivision of Neuroradiology,
Leiden University Medical Center, Leiden, The Netherlands.
Correspondence to Dr G van Wezel-Meijler, Department of Paediatrics, Subdivision of Neonatology, J6-S, PO Box 9600, 2300 RC Leiden, the Netherlands. E-mail: G.van_Wezel-Meijler@lumc.nl
PUBLICATION DATA
AIM Diffuse white matter injury is not well detected by cranial ultrasonography (CUS). The aim of
Accepted for publication 28th February 2011.
this study was twofold: (1) to assess in very preterm neonates the predictive values of individual
CUS abnormalities for white matter injury on MRI and neurological outcome; (2) to develop a
strategy optimizing CUS detection of white matter injury.
METHOD Very preterm neonates (n=67; 44 males, 23 females) underwent serial CUS and single
MRI. Predictive values of CUS findings for a white matter classification on MRI, individual MRI
findings, and neurological outcome at 2 years corrected age were calculated. The effects of timing
and frequency of CUS were evaluated.
RESULTS Periventricular echodensities (PVEs) predicted abnormal white matter on MRI, but
absence of PVEs did not predict absence of white matter changes. Peri- and intraventricular haemorrhage (P ⁄ IVH) was highly predictive of abnormal white matter on MRI. Frequency and timing of
CUS did not influence predictive values. P ⁄ IVH and abnormal ventricular size ⁄ shape were reasonably predictive of unfavourable outcome, whereas absence of CUS abnormalities predicted a
favorable outcome.
INTERPRETATION (1) If PVEs are present, there is a significant chance of abnormal white matter on
MRI. (2) Increasing frequency of CUS does not increase its diagnostic performance for white
matter injury. (3) P ⁄ IVH is highly predictive of abnormal white matter on MRI and reasonably
predictive of unfavourable outcome. (4) Absence of PVEs and P ⁄ IVH on CUS does not guarantee
normal white matter, but predicts a favourable outcome.
ABBREVIATIONS
CUS Cranial ultrasonography
DEHSI Diffuse excessive high signal intensity
NPV Negative predictive value
PPV Positive predictive value
PVEs Periventricular echodensities
P ⁄ IVH Peri- and intraventricular haemorrhage
PWMLsPunctate white matter lesions
TEA Term-equivalent age
White matter injury is one of the most frequently occurring
forms of brain injury in infants born very preterm (gestational
age<32wk). During recent decades, the character of white matter injury has shifted from ‘classic periventricular leukomalacia’ to more subtle or diffuse white matter injury. The latter,
occurring in more than 80% of infants born very preterm,
cannot be reliably diagnosed by ultrasonography.1–4 On T2weighted magnetic resonance imaging (MRI), it is assumed to
be represented by areas of altered signal intensity throughout
the white matter, so-called diffuse excessive high signal intensity (DEHSI) (Fig. 1) and by focal signal intensity changes, socalled punctate white matter lesions (PWMLs)4–6. PWMLs
are better visualized on T1-weighted MRI (Fig. 2).
Although MRI is increasingly used in neonates and has
proved safe and reliable to detect various forms of neonatal
brain injury, it is not suitable for repetitive examinations.7,8
Therefore cranial ultrasonography (CUS) is still the preferred
modality for serial neuroimaging during the neonatal period.9
In this perspective it is important to develop a CUS screening
system, enabling optimal detection of white matter injury and
selection of neonates needing MRI. A recent study, considering MRI as the criterion standard, showed a good reliability of
CUS in very preterm infants with severely abnormal white
matter. However, CUS was less reliable in demonstrating mild
and moderate white matter abnormalities.4 In that study, CUS
and MRI classifications of white matter injury were introduced, based on respectively echogenicity- and signal-intensity
changes in the white matter and on loss of white matter volume. However, we did not test the performance of individual
CUS findings for predicting white matter injury and did not
analyse the influence of frequency and timing of CUS examinations on the reliability of CUS.
Early detection of brain injury may be important for timely
intervention in high-risk neonates. With the present study we
aimed to develop a strategy to optimize CUS detection of white
matter injury, focusing on specific CUS findings and on the
number and timing of CUS examinations. We hypothesized
that specific CUS findings, including inhomogeneous and
grade 2 periventricular echodensities (PVEs), are predictive of
white matter injury on MRI.10 In addition we hypothesized,
ª The Authors. Developmental Medicine & Child Neurology ª 2011 Mac Keith Press
DOI: 10.1111/j.1469-8749.2011.04060.x 29
Figure 1: T2-weighted magnetic resonance image in very preterm infant,
Figure 2: T1-weighted magnetic resonance image in very preterm infant,
scanned at term-equivalent age, showing diffuse excessive high signal
scanned around term-equivalent age, showing bilateral, multiple, conflu-
intensity in the frontal and occipital white matter (arrows). The figure also
ent punctate white matter lesions (arrows) in the central white matter.
shows mildly dilated and abnormally shaped lateral ventricles.
based on the results of former studies, that PVEs on CUS predict DEHSI on MRI and that increasing the number of CUS
examinations increases the reliability of CUS for detecting
white matter injury.10,11 The specific aims were to assess the
predictive values of individual CUS findings for (1) the white
matter classification on MRI, (2) individual MRI findings, and
(3) neurological outcome at 2 years corrected age; we also
assessed whether (4) increasing the number of CUS examinations increases the reliability of CUS for detecting white matter
injury, and (5) timing of CUS examinations influences the reliability of CUS for detecting white matter injury.
METHOD
Participants
Between May 2006 and October 2007 eligible infants, born
very preterm and admitted to our tertiary neonatal unit,
were included in a neuroimaging study, comprising serial
CUS, according to the standard of care for these neonates9
and a single MRI, preferably performed around term-equivalent age (TEA). The study was approved by the Medical
Ethics Committee and informed consent was obtained from
the parents. Results on prevalence of CUS and MRI abnormalities and on prediction of white matter injury by CUS,
based on the white matter classification, were published elsewhere.1,4,12
CUS
CUS examinations were performed within 24 hours of birth,
thereafter at least weekly until discharge or transfer to another
30 Developmental Medicine & Child Neurology 2011, 53 (Suppl. 4): 29–34
hospital and again around TEA, on the same day as the MRI,
according to a standard protocol.9
All CUS examinations were assessed by LML and GvW-M
or LML and SJS, focusing on individual CUS findings. The
following echogenicity changes in the white matter were
recorded: non-physiological PVEs, cystic lesions (small and
localized or more extensive), and focal white matter echodensity presenting periventricular hemorrhagic infarction. The
appearance of PVEs (homogeneous, inhomogeneous, and
grades 1 or 2) was noted.11 In addition, peri- and intraventricular haemorrhages (P ⁄ IVH), grades 1 to 3 according to the
classification of Volpe13, and the size and shape of the lateral
ventricles were recorded. The latter were only done for the
CUS examination performed around TEA. The size and
shape of the ventricles were visually scored as normal ⁄ mildly
abnormal, moderately abnormal, and severely abnormal.
MRI
MRI examinations were performed according to a standard
protocol for imaging the newborn infant’s brain, using a 3.0T
magnetic resonance system (Philips Medical Systems, Best,
the Netherlands) as recently described.7 In summary, scans
included at least three-dimensional T1-weighted gradient
echo MRI (repetition time ⁄ echo time 9.7 ⁄ 4.6ms, flip angle 8),
T2-weighted TSE MRI (repetition time ⁄ echo time
6269 ⁄ 120ms, turbofactor 18), diffusion-weighted images in
three directions (repetition time ⁄ echo time 2406 ⁄ 64ms), and
T2* susceptibility-weighted MRI (repetition time ⁄ echo time
735 ⁄ 16ms) in the transverse plane. All MRI examinations were
assessed by LML and FTdB or by SJS and FTB, who were
blinded to the CUS findings. For this part of the study the
T1- and T2-weighted images were assessed. Particular attention was paid to the white matter by using a recently described
classification to score the grade of white matter injury. In summary, the white matter was scored as normal or mildly abnormal if no signal intensity changes or only homogeneous
DEHSI and ⁄ or few (£6) PWMLs were seen and if the shape
and size of the lateral ventricles were normal or only mildly
abnormal. A moderately abnormal white matter score was
applied if multiple (>6) PWMLs, and ⁄ or small localized cystic
lesions, and ⁄ or inhomogeneous DEHSI, and ⁄ or moderately
abnormal lateral ventricles were seen. The white matter
was scored as severely abnormal in the case of more serious
abnormalities.4
Table I: General characteristics and ultrasound findings of the total group
included and group with magnetic resonance imaging (MRI) at postmenstrual age <44wk
General characteristics
Patients included
Males (%)
Mean weight at birth
(g) (range)
Mean GA (wk) (range)
Mean postmenstrual
age at MRI (wk) (range)
MRI findings
Normal ⁄ mildly
abnormal WM (%)
Moderately ⁄ severely
abnormal WM (%)
DEHSI (%)
>6 PWMLs (%)
CUS findings
PVEs (%)
Grade 2 PVEs (%)
Inhomogeneous PVEs (%)
Duration PVEs>14d (%)
P ⁄ IVH grade 1–2 (%)
P ⁄ IVH grade 3 (%)
Abnormal size and ⁄ or
shaped ventricles (%)
Total group
Postmenstrual
age at MRI <44wk
108
67 (62)
1205.7 (585–1960)
67
44 (66)
1228.2 (585–1960)
29.0 (25.6–31.9)
44.9 (39.1–62.1)
28.9 (25.6–31.2)
42.5 (39.1–44.0)
26 (24)
18 (27)
82 (76)
49 (73)
76 (70)
18 (17)
59 (88)
13 (19)
87 (81)
11 (10)
72 (67)
43 (40)
23 (21)
8 (7)
56 (52)
55 (82)
8 (12)
46 (69)
29 (43)
15 (22)
4 (6)
28 (42)
DEHSI, diffuse excessive high signal intensity; PWMLs, punctate white
matter lesions; CUS, cranial ultrasonography; PVEs, periventricular
echodensities; P ⁄ IVH, peri- and intraventricular haemorrhage; WM,
white matter.
Follow-up
Around 2 years of age, the infants were seen by an experienced
neonatologist for clinical follow-up. The children underwent a
standardized neurological examination to assess the presence
of cerebral palsy (CP) or abnormal muscular tone.
Cognitive and psychomotor development was assessed
using the Dutch version of the Bayley Scales of Infant Development. A mental developmental index score and a psychomotor developmental index score were calculated for the
corrected age. A score of ‡1 SD below the normative mean
was defined as a developmental delay.
Statistical methods
First, sensitivity, specificity, positive predictive value (PPV),
and negative predictive value (NPV) of individual CUS findings (presence, aspect, duration and grade of PVEs; focal white
matter echodensity; P ⁄ IVH; and shape and size of the lateral
ventricles on the CUS performed around TEA) for the MRI
white matter classification were calculated. Secondly, predictive values of PVEs on CUS for DEHSI on MRI and of inhomogeneous PVEs on CUS for PWMLs on MRI were
calculated.
In addition, to explore whether increasing the number of
CUS examinations improved the predictive value of CUS for
MRI, the predictive values of PVEs present on the first CUS
examination and also respectively on any CUS performed during the first week, first 2 weeks, or first 4 weeks of life were
Table II: Predictive values of individual ultrasound findings for white matter classification on magnetic resonance imaging (MRI), of periventricular echodensities (PVEs) for diffuse excessive high signal intensity (DEHSI)a, and of inhomogeneous PVEs for punctate white matter lesions (PWMLs)b for the group of
patients with MRI at postmenstrual age <44wk (n=67)
CUS finding
PVEs
Inhomogeneous PVEs
Grade 2 PVEs
Duration>14d
P ⁄ IVH grade 3
P ⁄ IVH grade 1–3
Size and shape of ventricles
White matter classification on MRI
PPV
NPV
Sensitivity
Specificity
82 (71–92)
67 (54–80)
14 (4–24)
47 (33–61)
8 (0–16)
35 (21–48)
55 (41–69)
17 (0–34)
28 (7–48)
94 (84–100)
67 (45–88)
100 (96–100)
89 (74–100)
94 (84–100)
73 (61–85)
72 (59–85)
88 (65–100)
79 (65–94)
100 (82–100)
90 (76–100)
96 (90–100)
25 (1–50)
24 (6–42)
29 (17–40)
32 (17–46)
29 (17–40)
33 (20–47)
44 (28–59)
13 (0–35)
32 (19–44)
87 (78–96)
20 (8–31)
8 (0–24)
81 (64–98)
DEHSI and PWMLs on MRI
a
PVEs
Inhomogeneous PVEsb
81 (71–91)
69 (44–94)
Numbers between brackets indicate the 95% confidence intervals for these indices. CUS, cranial ultrasonography; PPV, positive predictive value;
NPV, negative predictive value; P ⁄ IVH, peri- and intraventricular haemorrhage.
Ultrasound Detection of White Matter Injury in Preterm Neonates Gerda van Wezel-Meijler et al. 31
calculated. Furthermore, to assess the influence of timing of
CUS examinations on the predictive value of CUS, predictive
values of PVEs, seen in a certain period (first, second, third, or
fourth week after birth) were calculated. For statistical analysis, white matter on MRI was divided into two groups: normal
and mildly abnormal versus moderately and severely abnormal
white matter. The aspect of the lateral ventricles on CUS and
MRI was also divided into two groups: normal versus abnormal shape and ⁄ or size of the lateral ventricles.
Finally, the predictive values of individual CUS findings for
unfavourable neurological outcome at 2 years corrected age,
defined as either a developmental delay and ⁄ or CP, were calculated.
RESULTS
Patients
A total of 130 very preterm infants were included in the study
of whom 108 underwent MRI. In 67 of the 108 infants, MRI
was performed before the postmenstrual age of 44 weeks. In
the other 41 infants, MRI was postponed owing to their instable condition. As DEHSI is currently only described in
children scanned around TEA, statistical analysis was confined
to the 67 individuals with MRI around TEA. Table I shows
the general characteristics and CUS findings of the whole
study group and the subgroup of 67 infants scanned around
TEA.
Predictive value of CUS for MRI
The predictive values of the CUS findings for the MRI white
matter classification are listed in Table II. This table shows
that presence of PVEs, regardless of characteristics (aspect,
grade, and duration) is predictive of abnormal white matter on
MRI. However, absence of PVEs does not predict normal
white matter.
In addition, presence of P ⁄ IVH is highly predictive of
abnormal white matter on MRI, but again with a low NPV.
Repeating our analysis for the 48 children without P ⁄ IVH, we
found comparable predictive values of PVEs for abnormal
white matter. Abnormal size and ⁄ or shape of the lateral ventricles, as seen around TEA, was also highly predictive of abnormal white matter, whereas normal size and shape of the
ventricles did not predict normal white matter.
We found no obvious improvement of predictive values,
increasing the number of CUS examinations: if PVEs were
seen in the first week, this predicted abnormal MRI in 73% of
infants, with a sensitivity of 78%, specificity of 31%, and NPV
of 42%. If PVEs were also seen in four consecutive weeks after
the first week, the PPV remained at 73%, and the sensitivity
and NPV increased slightly towards 87% and 50% respectively, but with a specificity decreasing to 25%. In addition,
there was no influence of age at CUS examination on the predictive values of CUS: predictive values of PVEs seen in the
first week were in the same range as those seen at a later age.
Calculating predictive values of individual CUS findings for
individual MRI findings, we found high PPV and sensitivity of
PVEs for DEHSI, the NPV again being low. Inhomogeneous
PVEs did not predict PWMLs, but the NPV was high
(Table II).
Follow-up
Of the 67 infants who underwent MRI before the postmenstrual age of 44 weeks, follow-up was available for 50 (75%).
Recommendations for neuro-imaging in very preterm neonates
Serial CUS in 1st
week
No P/IVH
P/IVH
low frequency serial
cUS for brain growth &
maturation*
serial cUS for
complications P/IVH, brain
growth & maturation*
MRI around
TEA
*Intensify if complications
occur.
Abnormalities
No abnormalities
MRI around
TEA
No MRI
Figure 3: Recommendations for neuroimaging in very preterm neonates.
32 Developmental Medicine & Child Neurology 2011, 53 (Suppl. 4): 29–34
A total of seven children (14%) had an unfavourable outcome
at 2 years corrected age. Two children had a mental developmental index score ‡1 SD below the standard mean, six had a
psychomotor developmental index score ‡1 SD below the
standard mean, and four had CP. All the children with CP had
a psychomotor delay and one also a mental delay.
Predictive value of CUS for outcome
P ⁄ IVH and abnormal size and ⁄ or shape of the ventricles were
predictive of outcome at 2 years corrected age (PPV 34 and
31% respectively, negative predictive values 94%). The PPVs
of the other CUS findings were 14 to 17%, with NPV 88 to
93%, indicating a high chance of a normal outcome when the
CUS finding was absent.
DISCUSSION
White matter injury is probably responsible for most disabilities in very preterm neonates.14 As CUS is the most frequently
used imaging modality for detecting brain injury in neonates
at high-risk, its detection of white matter injury may be useful
in targeting interventional therapy. This study assessed the
predictive values of individual CUS findings for white matter
injury on MRI and the influence of timing and frequency of
CUS, aiming to optimize CUS protocols for detecting white
matter injury. In addition, we assessed the predictive values of
individual CUS findings for neurological outcome at 2 years
corrected age. We found that presence of PVEs on CUS was
predictive of abnormal white matter on MRI. However,
absence of PVEs was not predictive of normal white matter.
In other words, absence of changes in the white matter on
CUS is no guarantee of a normal MRI. In addition, increasing
the number of CUS examinations and varying the timing of
CUS did not influence the reliability of CUS for detecting
white matter injury.
To our surprise, P ⁄ IVH was more predictive of abnormal
white matter on MRI than PVEs. This may be for several reasons. First, P ⁄ IVH is reliably detected by CUS, therefore
false-positive and false-negative diagnoses are rare.1 Second,
P ⁄ IVH originates from and might damage the germinal
matrix. This might have consequences for further development of glial-cell precursors and astrocytes, originating from
the germinal matrix, possibly contributing to white matter
injury.15 In addition, elevated free iron in cerebrospinal fluid
resulting from intraventricular haemorrhage might catalyse
radical formation and white matter injury may ensue. Furthermore, even mild ventricular dilatation may influence white
matter development and P ⁄ IVH may cause microglial activation.16
We additionally found that presence of PVEs on CUS predicted DEHSI on MRI. In recent literature there is doubt
whether DEHSI indeed presents white matter injury.17–19 We
therefore feel it is not justified to conclude that PVEs are the
CUS presentative of diffuse white matter injury. We found no
association between inhomogeneous PVEs and PWMLs. This
seems to be in conflict with results of an older study, in which
a fair association between inhomogeneous PVEs on CUS and
PWMLs on MRI was found. However, the latter study was
retrospective, fewer infants were included, and the MRI was
performed at variable ages, often during the preterm period.10
P ⁄ IVH and abnormal lateral ventricles were reasonably predictive of unfavourable outcome at 2 years corrected age,
whereas all the other individual CUS findings did not predict
unfavourable outcome. This is partly in agreement with
another study, finding a higher incidence of neurological
abnormality during the first year of life in very preterm infants
with prolonged PVEs, P ⁄ IVH grade 2 or 3, and ventricular
dilatation than in infants without these CUS abnormalities.20
Amess et al.21 assessed the predictive value of CUS for neurological outcome at 12 months corrected age and found high
risk CUS findings to be predictive of abnormal neurological
outcome (sensitivity 83%), but their high-risk CUS findings
included more serious abnormalities than the individual CUS
findings we assessed. Rademaker et al.22 found significant differences in motor and mental outcome at school age between
very preterm infants with normal ⁄ mildly abnormal CUS findings and severely abnormal CUS findings. They included
more infants and their follow-up period was much longer. De
Vries et al.23 in a large prospective study among preterm
infants, found major CUS abnormalities to be highly predictive of CP. Again, their major CUS abnormalities were more
severe and differed from the individual CUS findings we
assessed. Comparison of our study with the aforementioned
studies is difficult, because of the changes in the character and
definition of white matter injury over recent years. We found
high negative predictive values of CUS for outcome around
2 years corrected age, indicating a high chance of a normal
outcome when CUS abnormalities were absent. This is in
accordance with the study by de Vries et al.23 showing high
negative predictive values of absence of major CUS abnormalities for CP around 2 years of age.
We acknowledge the limitations of this study. First, MRI
could not be performed around TEA in all patients. We could
therefore only analyse the data in a subgroup of our infants,
implying a limited number of patients per white matter group
and with individual CUS and MRI findings. Therefore the
number of infants with some individual CUS findings, especially P ⁄ IVH grade 3 and PVEs grade 2, was too low to draw
final conclusions about the prediction of these CUS findings
for unfavourable outcome. Secondly, it is uncertain whether
DEHSI represents white matter injury. Finally, our follow-up
period is short. More subtle cognitive deficits, with possible
consequences on school performance, may still develop.
With respect to these limitations, we make the following
conclusions: (1) If PVEs are present on CUS, regardless of
timing, duration, and appearance, there is a significant chance
of abnormal white matter on MRI. (2) If PVEs are seen any
time during the neonatal period, additional CUS examinations
do not increase the diagnostic performance of CUS for detecting white matter abnormality. Therefore, increasing the number of CUS examinations in these cases is of limited clinical
importance. (3) P ⁄ IVH is highly predictive of abnormal white
matter on MRI. (4) Absence of PVEs and P ⁄ IVH on CUS
does not guarantee normal white matter on MRI. (5) P ⁄ IVH
and ventricular dilatation, but not PVEs, seem to be reason-
Ultrasound Detection of White Matter Injury in Preterm Neonates Gerda van Wezel-Meijler et al. 33
ably predictive of abnormal neurological outcome at 2 years
corrected age. (6) Absence of any CUS abnormality in the
white matter or lateral ventricles is highly predictive of a normal outcome at 2 years corrected age.
The practical consequences of these conclusions are as follows (Fig. 3): (1) In very preterm neonates, CUS examinations
in the first week of life are necessary to detect P ⁄ IVH. (2) If
P ⁄ IVH is seen during the first week, frequent follow-up CUS
is indicated for detecting complications that may need inter-
vention.24 (3) If no P ⁄ IVH is seen in the first week, low-frequency CUS examinations throughout the neonatal period are
indicated to follow brain growth and maturation and to detect
changes related to clinical instability. (4) If medical complications or instability occur, CUS examinations should be intensified. (5) For reliable detection of WM injury in very preterm
neonates an MRI examination, performed around TEA is
needed. This is, however, of little clinical relevance in infants
without any CUS abnormality.
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