Keywords
cranial ultrasound - craniosynostosis - infants - computerized tomography - cranial
sutures
Introduction
Craniosynostosis (CS) is one of the most frequent malformations in newborns, affecting
1:2000–1:2500 live births, mainly males [1]. CS is characterized by premature fusion of the cranial sutures, resulting in an
abnormal head shape. CS is often categorized, according to the cause, as primary and
secondary. In the latter case, CS could be due to metabolic disorders or drug use
as phenytoin or valproic acid during pregnancy [2]. CS may be simple, involving only one main cranial suture, or complex, affecting
multiple sutures as part of a syndromic pattern [1]. Cranial sutures are essential for correct brain expansion. If one suture is fused,
the “compensatory” skull growth occurs in parallel planes, resulting in the recognizable
skull and head deformities [3]
[4]. Complex CS is frequently associated with abnormal craniofacial growth, resulting
in hydrocephalus, Chiari malformation, upper airway obstruction, and intracranial
hypertension, negatively impacting neurodevelopment [5]. In contrast, the effects of simple CS are still a matter of debate, ranging from
cosmetic problems to mild neurodevelopmental delay and cerebellar ectopia.
During the last years, the number of evaluations of skull deformities has dramatically
increased, both for improved CS awareness and due to the worldwide application of
the “Back to sleep campaign”, promoted by the American Academy of Pediatrics, in favor
of supine sleep to prevent sudden infant death syndrome [6]. A prolonged supine sleep position can lead to cranial deformations, secondary to
the prolonged stay in the same position. Such deformations are defined as positional
plagiocephaly (PP), which ameliorates with compensatory position changes. On the contrary,
a true CS requires surgical treatment, usually within 12 months of life [1]. Therefore, an early differential diagnosis between PP and CS is advisable.
For a very long time, skull X-rays (sx-r) were the first-line examination to evaluate
an abnormal head shape, followed by 3D-computerized tomography (3D-CT) to confirm
and define the diagnosis. Nowadays, 3D-CT has become the diagnostic imaging method
of first choice [1]. Anamnesis with accurate, repeated clinical evaluation is the stronghold for a correct
suspicion [7], but the increased prevalence of PP and the concerns about the risks of leukemia
and brain tumors related to ionizing radiation exposure [8, 10, 9], caused physicians
to reduce the number of 3D-CT, looking for a radiation-free diagnostic imaging technique
able to differentiate between CS and PP. Several studies suggested that, due to its
characteristics, such as the low cost and the lack of ionizing radiations, cranial
ultrasound (CUS) could represent an optimal first-line examination [8].
Therefore, we aim to analyze and evaluate the accuracy of Superficial Cranial Ultrasound
(SCUS), considered the index exam for the diagnosis of CS, in a prospectively collected
series of consecutive children with cranial deformities.
Materials and methods
We retrospectively reviewed prospectively collected databases including consecutive
infants referred to a multidisciplinary craniofacial team from 2011 to 2019 for abnormal
head shapes. With parental consent, we collected the following data: age, sex, birth
weight, gestational age, conception and birth type, diagnostic suspicion. Moreover,
other adjunctive data were recorded, such as the preferential position while sleeping,
the head shape evolution, maternal uterine fibroids, drug consumption during pregnancy,
or familiarity with CS. All patients underwent SCUS with a complete evaluation of
six major sutures: metopic, sagittal, bicoronal, and lambdoids. All SCUS examinations
were performed by the same operator, a neonatologist with twenty years of experience
performing ultrasound in newborns. The same ultrasound device (LogiQ 5, GE Healthcare,
USA), equipped with an 11 MHz linear transducer, was used for all examinations. The
children were in a supine position in the arm of the parents, held by the shoulders
to expose the whole head to the examiner. To obtain better compliance, we used maternal
breastfeeding or a bottle in newborns up to 6 months of age, while the parents' cooperation
and the use of songs or games were helpful in older children. With these measures,
all exams were able to be performed without sedation.
Imaging evaluation
While performing SCUS, the probe is moved along the whole length of the sutures, with
the transducer lying perpendicular to the skull and to the major suture axis, to obtain
coronal sections on the sutures and cranial bones. The sutures appear as an anechogenic
gap between two hyperechogenic plates represented by the cranial bones. A cranial
suture was considered physiologically patent if no hyperechogenic bridges were found,
with an anechogenic gap measuring at least 0.5 mm. In the case of hyperechoic bridging,
with or without a bone ridge, the suture was defined as synostotic, and the length
of the fusion was measured.
If SCUS showed synostosis (positive) or it was doubtful, children were referred to
the neuroradiologists to obtain further examinations. In such cases, a 3D-CT scan
was performed with children during spontaneous sleeping using a fast scanning and
low radiation protocol. It included axial volumetric acquisition (thickness 0.8 mm;
increment 0.3 mm; pitch 0.688 mm; rotation time 0.75 sec; collimation 16×0.75; mAs/slice
300; KV 120; FOV 250×250; matrix 512×512). A reconstruction algorithm for bone and
soft tissue was then applied. If a 3D-CT scan was necessary, it was performed after
SCUS, except in very few cases. However, in such cases a blinded protocol avoided
a possible influence of the CT results on the SCUS examination. In fact, the neuroradiologists
performing CT were different from the pediatricians that executed SCUS, and the two
examinations were carried out at two different institutions.
If SCUS documented patency of all sutures (and therefore, it was negative), children
were strictly followed up for at least three months to evaluate normalization of the
head shape with positioning and helmet therapy. In cases of no improvement, a second
SCUS was performed, and a 3D-CT scan was suggested. The diagnostic pathway is plotted
in [Fig. 1].
Fig. 1 Diagnostic flowchart applied in the whole series of 350 babies (CUS, 3D-CT, and follow-up
results).
Statistics
SCUS sensitivity and specificity were evaluated in comparison with 3D-CT, which is
considered the gold standard. To analyze the data, we performed a likelihood ratio
test on two different population samples from the same cohort. The first sample includes
all patients with evaluable SCUS in which the final diagnosis was obtained either
by 3D-CT scan or by clinical follow-up. The second sample included only patients who
underwent both SCUS and 3D-CT scans. For both groups, calculations estimate pre-test/post-test
probability and pre-test/post-test odds, likelihood ratios and relative prevalence,
sensitivity, specificity, and the accuracy of the test itself. The likelihood ratio
value is used to define the clinical test results and their conclusiveness for diagnosing
the individual patient (Supplementary Table 1). The results have also been reported in Fagan’s nomograms to provide better visualization
of the pre-test and post-test probabilities and likelihood ratios of diagnostic tests.
Analysis and calculations were obtained using the MATLAB and Statistics Toolbox (The
MathWorks Inc, Natick, MA, US).
Results
Patient characteristics
The whole series comprises 350 infants with an abnormal head shape. In all cases,
SCUS was well tolerated, without any need for sedation or other pharmacological therapies.
The total cohort was composed of 232 males (66.3%) and 118 females (33.7%), ranging
in age between 0 and 18 months at the time of SCUS (average 4.4 months, median 4.2).
56.3% of the children were born via uncomplicated vaginal delivery, while 39.1% were
delivered via cesarean section. In 4.6% of cases, a suction cap was necessary. The
mean gestational age was 38.5 weeks (median 39), and the mean birth weight was 3182.1g
(median 3245g).
The cranial deformities that lead to clinical observation were: posterior plagiocephaly
(right, left, or both) in 159 children (45,4%), dolichocephaly in 84 (24%), brachycephaly
in 26 (7.4%), trigonocephaly in 17 (4.9%), anterior plagiocephaly in 13 (3.7%), microcephaly
in 34 (9.7%), and other deformations in 17 (4.9%). The overall population characteristics
are summarized in Supplementary Table 2.
Superficial Cranial Ultrasound evaluation
SCUS was successfully executed in 341/350 patients. In 4 cases, imaging failed due
to age-related restlessness and failure to see the gap between bones (mean age of
this group 13.8 months, see [Fig. 1]). In 5 children, the result was unclear, so it was not possible to strongly confirm
or exclude a possible CS. This subgroup of nine children was excluded from the analysis
(but the children were strictly monitored to see the clinical evolution). In 48 infants,
SCUS documented partial or complete fusion of one or more sutures (SCUS positive);
in the remaining 293, it was negative ([Fig. 2]). In patients referred for macrocephaly and complex CS, a transfontanellar scan
was performed.
Fig. 2 Entry questions and answers obtained by SCUS and 3D-CT.
The results of SCUS were examined according to the clinical suspicion and to the physicians
that required the examination. 192 infants (54.9%) were referred by neurosurgeons,
132 (37.7%) by pediatricians, 22 (6.3%) by pediatric neurologists, 4 (1.1%) by other
professionals such as osteopaths and physiotherapists. To analyze the concordance
between entry questions and SCUS/CT results, we dichotomized this aspect as all clinicians
(45.7%) versus neurosurgeons (54.3%). As expected, the percentage of CS was higher
in the group referred by neurosurgeons (21.1% vs. 5.8%). More interestingly, in our
series none of the clinical diagnoses of PP, macro- or microcephaly, or early fontanelle
closures, were confirmed by SCUS/CT as being related to CS ([Fig. 2]).
A 3D-CT scan was performed in 48 SCUS-positive cases and 28/293 SCUS-negative cases
if a severe deformity had not improved at follow-up. The remaining 265 SCUS-negative
cases underwent strict clinical follow-up; none of them showed CS. 3D-CT confirmed
SCUS results in 75/76 cases: 47/48 SCUS-positive cases (true positives), with a concordance
of involved suture and length of synostotic tract and 28/28 SCUS-negative cases (true
negatives). One SCUS-positive case was a false positive, since 3D-CT visualized all
sutures physiologically open. CS was primary in 46/48 cases and secondary in 2 cases:
one child with sagittal and bicoronal synostosis was affected by hypophosphatemic
rickets, and another with bitemporal synostosis had congenital hyperthyroidism.
Concordance between SCUS and 3D-CT imaging
The likelihood ratio test was performed on two different population samples: the first
one comprised all cases in which SCUS yielded evaluable results (341 children, Supplementary Table 2), the second one included only the 47 confirmed CS cases ([Table 1]). Concerning the first group, we constructed a 2×2 table composed of true positives,
false positives, true negatives, and false negatives (Supplementary Table 3). We defined healthy patients as those who were negative on 3D-CT (gold standard)
or on clinical follow-up and affected patients as those with positive 3D-CT. Children
showing SCUS signs of premature closure of one or more sutures were considered positive;
the remaining ones were considered negative (341 children). Results from the test
are summarized in [Table 2]. We calculated a pre-test probability of illness of 13.8% (10.3%–17.9%, odds pre-test:
0.16) and a post-test probability of 97.9% (86.9–99.7%, odds post-test: 15.7). A Fagan’s
nomogram reports the results for the first cohort (Supplementary Fig. 1). A second likelihood ratio test was carried out on a restricted patient cohort (Supplementary Table 4). In this case, we analyzed the diagnostic accuracy measurements only in the children
that underwent both SCUS and 3D-CT (gold standard) (Supplementary Table 5). This latter cohort showed a pre-test probability of illness of 61.8% (95% CI: 50.0–72.8%,
odds pre-test: 1.62), and a post-test probability of 97.9% (95% CI: 87.3–99.7%, odds
post-test: 47.0). The results for the restricted cohort are reported as Fagan’s nomogram
(Supplementary Fig. 2).
Table 1 Statistical evaluation of the population sample with craniosynostosis.
|
CS (n=47)
|
|
|
Male
|
35 (74.5%)
|
|
Female
|
12 (25.5%)
|
|
Age (range)
|
1 day – 10 months
|
|
|
3.0 months (± 2.5)
|
|
|
4 months
|
|
Gestational age (gestational weeks)
|
|
|
|
38.6 (± 1.9)
|
|
|
39
|
|
Birth weight (grams)
|
|
|
|
3304.0 (± 567.8)
|
|
|
3407.5
|
|
Kind of delivery
|
|
|
|
25 (53.2%)
|
|
|
19 (40.4%)
|
|
|
3 (6.4%)
|
|
Assisted fertilization
|
3(6.4%)
|
|
Clinical head deformity
|
|
Prevalence M/F
|
|
|
28 (59.6%) 5f 23m
|
4.6:1 (82.1% – 17.9%)
|
|
|
10 (21.3%) 2f 8m
|
4:1 (80.0% – 20.0%)
|
|
|
4 (8.5%)
|
1:1
|
|
|
5 (10.6%) 3f 2m
|
0.7:1 (40.0% – 60.0%)
|
|
First observation
|
|
|
|
38 (80.9%)
|
|
|
8 (17.0%)
|
|
|
1 (2.1%)
|
Table 2 Likelihood ratio test performed on patients with evaluable results (9 children excluded).
|
n. subjects = 341
|
Result (%)
|
Confidence interval 95%
|
|
Prevalence
|
13.8
|
10.3 – 17.9
|
|
Sensitivity
|
100
|
92.5 – 100
|
|
Specificity
|
99.7
|
98.1 – 99.9
|
|
Positive predictive value
|
97.9
|
86.9 – 99.7
|
|
Negative predictive value
|
100
|
|
|
Test accuracy
|
99.7
|
98.4 – 100.0
|
|
Likelihood ratio + (LR+)
|
294
|
41.6 – 2080.3
|
|
Likelihood ratio – (LR–)
|
0
|
0
|
Discussion
The current study confirmed the high efficacy of SCUS for evaluating the skull and
cranial sutures. During the last decades, ultrasound examination has dramatically
improved and it has become a point-of-care technique [9]. It is a quick, repeatable, and fairly inexpensive technique. Furthermore, it is
radiation-free. This last topic became relevant after the alert about correlation
between radiation and leukemia-brain tumors [10]
[11]
[12]. Also, in the field of CS, the widespread application of the ALARA principle (as
low as reasonably achievable) to minimize radiation exposure suggests postponing 3D-CT,
if necessary, until after the third month of life [1]. Different diagnostic dilemmas lead to neuroimaging evaluation in abnormal cranial
shapes, ranging from deformities to micro- or macrocephaly, or simply crests and fontanelle
dimensions. Both high and low cranial volumes with shape deformity are reported to
be associated with CS. The cranial volume and the dimensions of the fontanelle were
often the suspicious findings that led to SCUS in our series, in both referral groups
(clinicians 14.5%, neurosurgeons 15.7%). However, SCUS excluded CS in all cases, determining
the correct diagnostic pathway ([Fig. 2]). If the entry question was, instead, “deformation”, the diagnosis of CS was more
frequent in children referred by neurosurgeons (21%).
Suitability of SCUS for decision making
In this scenario, we evaluated the role of SCUS for the diagnosis of CS in one of
the largest cohorts of infants ever reported [15, 18, 17, 16]. Comparing SCUS and
3D-CT results, the study confirmed the diagnostic accuracy of SCUS in CS. Considering
the whole cohort of performed SCUS examinations (341 children), we found a sensitivity
of 100%, a specificity of 96.6%, with positive and negative predictive values of 97.9%
and 100%, respectively. The negative predictive value allowed us to exclude the disease
in the case of a negative SCUS examination. More interestingly, when performing an
analysis of the highly selected cohort of children who underwent both SCUS and 3D-CT
(76), the pre-test probability of CS is higher than expected, and the post-test probability
is consistent with 97.9% in the case of a positive SCUS examination, while it is 0%
in negative SCUS examinations, thus excluding the presence of CS.
Our results confirmed in a large cohort what was previously reported in smaller series
[13].
Sze et al. showed sensitivity of 100% and specificity of 89% in 41 patients, comparing
CT and CUS results for evaluating the lambdoid suture [14]. Alizadeh compared CUS and CT results in 44 patients, obtaining a sensitivity of
96.9% and a specificity of 100%, with a positive predictive value of 100% and a negative
predictive value of 92.3% [15]. In 2016, Rozovsky et al. analyzed 126 infants with similar results [16]. Hall et al. demonstrated a sensitivity, specificity, and negative predictive value
of 100% for CUS compared to CT or clinical follow-up [17], and similar results were also obtained by Proisy and coauthors [18], always in smaller series compared to the current one. Based on these results, Safran
and coauthors included CUS among the promising innovative diagnostic technologies
able to improve the standard of care for CS [19].
Our study reports complete agreement between SCUS and 3D-CT with respect to affected
suture and fusion length, particularly if the two techniques were performed in close
temporal proximity to one another ([Fig. 3]). Moreover, SCUS was also able to document the compensatory diastasis of the fontanelle
and other sutures ([Fig. 4]) and the presence of Wormian bones ([Fig. 5]).
Fig. 3 Dolichocephaly with partial synostosis of the sagittal suture, associated with a bone
ridge. 1D (3D-CT) confirms CUS results. We can see the agreement between the two methods: the
anterior tract is unfused 1A, the bone bridge corresponds with the ridge 1B, and the posterior tract is also unfused 1C. A: anterior; P: posterior.
Fig. 4 Dolichocephaly with complete synostosis of the sagittal suture and compensating diastasis
of the anterior fontanelle and metopic suture. Images A, B (3D-CT) confirm the CUS results in C of sagittal closure, while D depicts the compensatory metopic diastasis anticipated by SCUS.
Fig. 5 Anterior plagiocephaly due to a right hemicoronal synostosis, causing orbital I and frontal L asymmetry. SCUS documented the right hemicoronal closure A, C, confirmed by 3D-CT B, C, the patent left hemicoronal E, confirmed by 3D-CT F, and the presence of a Wormian bone G also confirmed by CT H. [rerif]
SCUS is particularly relevant in PP, as also suggested by other groups [25, 23, 24,
26]. In our series, none of the PP children were confirmed as CS. This aspect is relevant
because an early diagnosis of PP improves the correction rate with postural and helmet
therapy, whose efficacy is inversely related to age [20]. Another advantage of SCUS is that sedation or nurse assistance is unnecessary.
Parent collaboration significantly contributes to obtaining conclusive results. To
further reduce observation time and limit inhomogeneity between operators, Okamoto
proposed a 2-point method [21], but this technique may fail to identify partial closures.
Our data on clinical evaluation show that even neurosurgical suspicion, despite being
more accurate than the pediatrician’s assessment, may fail. Only SCUS reaches the
same accuracy as 3D-CT, so that it is a candidate for use in selected cases. Finally,
CUS can “have a quick look” inside the brain (depending on the child’s age), especially
in complex CS [21], which often needs multiple examinations in case of multistep treatments.
Limitations
The main SCUS limitation is age. In children about one year old, the technique becomes
less significant because it recognizes the “gap” between two bones that progressively
decreases, as documented by CT on normal children [22]. Contrary to Okamoto [23], who reported some diagnoses after one year using ultrasound, we found the method
problematic in older children due to lower compliance and the presence of thick hair.
We consider the “golden age” for SCUS to be between 3 and 6 months. Consequently,
the high reliability documented in our series could be linked to the selection bias
of the young patient age (4.4 months).
Another limitation is the time relation between SCUS and suture closure: all sutures
are expected to be open at birth and to close during the first and the second year
of life, except for the metopic suture, which may be closed physiologically at term.
Therefore, a closed suture is diagnostic for primary CS. In rare secondary CS cases,
sutures are open at birth and close later on. Consequently, a proper diagnosis may
depend on the timing of the SCUS and 3D-CT examinations. Therefore, clinical follow-up
plays an important role and repeat SCUS is needed in the case of unexpected clinical
worsening. The minor sutures, such as the sphenofrontal and squamosal sutures, are
hard to identify and are variable in appearance. Furthermore, SCUS is operator-dependent.
This limitation is overcome by performing SCUS in a referral center by trained and
experienced operators.
Conclusion
The present study strongly confirms the accuracy of SCUS for the differential diagnosis
between CS and PP. The absence of radiation means that SCUS can be repeated as necessary,
starting on the first day of life. Consequently, SCUS is useful for diagnosis, making
it possible to delay 3D-CT, and also for follow-up. Prospectively, SCUS should be
considered the first-line imaging method in cranial deformity, thereby restricting
the need for 3D-CT only to surgical cases.