Skip to main content
AJNR: American Journal of Neuroradiology logoLink to AJNR: American Journal of Neuroradiology
. 2014 Mar;35(3):599–603. doi: 10.3174/ajnr.A3720

Brain MRI Measurements at a Term-Equivalent Age and Their Relationship to Neurodevelopmental Outcomes

HW Park a, H-K Yoon b, SB Han c, BS Lee e, IY Sung d, KS Kim e, EA Kim e,
PMCID: PMC7964734  PMID: 23988755

Abstract

BACKGROUND AND PURPOSE:

An increased prevalence of disabilities is being observed as more preterm infants survive. This study was conducted to evaluate correlations between brain MR imaging measurements taken at a term-equivalent age and neurodevelopmental outcome at 2 years' corrected age among very low–birth-weight infants.

MATERIALS AND METHODS:

Of the various brain MR imaging measurements obtained at term-equivalent ages, reproducible measurements of the transcerebellar diameter and anteroposterior length of the corpus callosum on sagittal images were compared with neurodevelopmental outcomes evaluated by the Bayley Scales of Infant Development (II) at 2 years' corrected age (mean ± standard deviation, 16.1 ± 6.4 months of age).

RESULTS:

Ninety infants were enrolled. The mean gestational age at birth was 27 weeks and the mean birth weight was 805.5 g. A short corpus callosal length was associated with a Mental Developmental Index <70 (P = .047) and high-risk or diagnosed cerebral palsy (P = .049). A small transcerebellar diameter was associated with a Psychomotor Developmental Index <70 (P = .003), Mental Developmental Index <70 (P = .004), and major neurologic disability (P = .006).

CONCLUSIONS:

A small transcerebellar diameter and short corpus callosal length on brain MR imaging at a term-equivalent age are related to adverse neurodevelopmental outcomes at a corrected age of 2 years and could be a useful adjunctive tool for counseling parents about future developmental outcomes.


The survival rate of preterm infants has increased with the advances in neonatal care in recent decades. However, a higher prevalence of disabilities has also been observed in survivors of preterm birth at infancy and in childhood.1,2 Factors such as intraventricular hemorrhage,3 hypoxia, prematurity,35 and neonatal care3,6 have been reported to affect the developing brain; the mechanism of injury during the development of the cerebellum and corpus callosum in surviving premature infants may be caused by primary destruction or underdevelopment7 and axonal injury,8 respectively. These factors in turn result in an altered brain volume or structure that can be seen as a reduced cerebral and/or cerebellar volume,3,9,10 subarachnoid space widening,3,6,11 corpus callosum thinning,1214 and posthemorrhagic ventricular dilation on brain MR imaging.15 These findings have led to reports of various measurements of MR imaging as potential predictors of neurologic outcomes at infancy or in childhood.10,14,16,17

We conducted a study in a single neonatal intensive care unit (NICU) to evaluate correlations between brain MR imaging measurements taken at term-equivalent age and the neurodevelopmental outcomes at 2 years' corrected age.

Materials and Methods

Patients and Perinatal Data

Infants admitted to the NICU of Asan Medical Center Children's Hospital from January 2001 to December 2010 whose birth weight was <1 kg were included in the study cohort. Patients with a birth weight <1.5 kg who had clinical indications for brain MR imaging, such as a history of seizure or hypoxic events, or suspected periventricular leukomalacia by head sonography were also included. The brain MR imaging was obtained at a term-equivalent age (37+0 to 41+6 weeks). All patients except for 2 (2.2%) underwent brain MR imaging before NICU discharge.

Exclusion criteria included infants who died before discharge and infants who had severe congenital anomalies such as chromosomal abnormalities or brain anomalies. The clinical charts of the subjects were retrospectively reviewed for various demographic and clinical data: antenatal steroids,18 necrotizing enterocolitis defined as modified Bell criteria greater than stage IIa, treatment of symptomatic patent ductus arteriosus19either intravenously with indomethacin or by surgical ligation, laser operation for retinopathy of prematurity,20 Papile classification of intraventricular hemorrhage, bronchopulmonary dysplasia (defined as oxygen dependence at 36 weeks' postmenstrual age), and treatment with antiepileptic drugs (AEDs) for electrographic and clinical seizure.

Oxygen requirement was defined as the supplementation of oxygen during hospitalization to maintain the target range of 88–93% saturation for infants born with a birth weight of ≤1.5 kg with bronchopulmonary dysplasia and ≥90% for other infants.

Brain MR Imaging

The brain MR imaging was obtained with a 3T MR system (3T Achieva Nova Dual; Philips, Best, the Netherlands) around the term-equivalent age before discharge from the NICU. MR images reviewed for this study consisted of spin-echo T1-weighted sagittal, T1-weighted axial, and T2-weighted axial images with parameters of 450/10/2 (TR/TE/excitations), 500/10/2, and 3000/80/2, with a field of view of 15 or 18 cm and a 256 × 256 matrix. Section thickness was 4 mm, with a 1-mm gap. Infants wearing ear protection devices were sedated with choral hydrate (25–50 mg/kg orally) or morphine (0.05 mg/kg intravenously).

Measurements of MR Imaging

Brain MR imaging measurements were taken by 2 different neonatologists under the supervision of 1 certified pediatric radiologist. The axial view of the transcerebellar diameter (TCD) and the anteroposterior length of the corpus callosum on sagittal view were measured (Fig 1) with the use of the entirely digital measuring system of the PACS of Asan Medical Center (PetaVision, version 2.1).21 The TCD was measured as the longest transverse diameter perpendicular to the cerebellar vermis on the axial view that showed both nasal septum and orbital area, and the corpus callosal length was measured as the anteroposterior length on the midline sagittal image in which the pituitary gland was seen (Fig 1).

Fig 1.

Fig 1.

Linear measurements of anteroposterior length of corpus callosum (A and B) and transcerebellar diameter (C and D) and intraclass correlation coefficients (ICCs) for interobserver and intraobserver reliability. A, Short anteroposterior length of corpus callosum (34.1 mm); B, longer anteroposterior length of corpus callosum (44.4 mm); C, short transcerebellar diameter (36.2 mm); D, longer transcerebellar diameter (58.4 mm).

Neurologic Outcomes

The neurodevelopmental outcomes were assessed at 2 years' corrected age with the Bayley Scales of Infant Development II by a certified neonatologist. The Mental Developmental Index (MDI) and the Psychomotor Developmental Index (PDI) were obtained. MDI or PDI scores <70 were defined as significantly abnormal. Cerebral palsy was defined as a nonprogressive central nervous system disorder characterized by abnormal posture and abnormal muscular tone in at least 1 extremity; high-risk cerebral palsy was defined as the abnormal tone of extremities and delayed motor development during the first 2 years diagnosed by a certified medical doctor for pediatric rehabilitation. A major neurologic disability was defined as ≥1 of the following findings: MDI <70, PDI <70, cerebral palsy, sensorineural hearing loss, and/or seizure disorder.

Data Analysis and Statistics

Major neurologic disability was the primary outcome variable. A P value of <.05 was considered significant. Data were analyzed with the Student t test and logistic regression by use of SPSS 17.0 software (IBM, Armonk, New York). The intraclass correlation coefficients (ICC) for measurement consistency were calculated to analyze the intraobserver and interobserver agreement. In the multivariable regression, risk variables weakly associated with the outcomes in the univariate analysis (P < .1) were used as the candidate variables to identify independent predictors of adverse neurologic outcomes.

Results

General Characteristics of Patients

The general characteristics of the 90 infants are shown in Table 1. Of the 90 patients, 80 (88.9%) were extremely low–birth weight infants.

Table 1:

General characteristics of the study population

Variables Total (n = 90)
Gestational age, wk 27+1 ± 2.3
Birth weight, g 805.5 ± 168.2
Sex, male 55.6% (M:F = 50:40)
Prenatal steroids 86 (95.6%)
PROM 18 (20%)
Delivery mode, C-section 67 (74.4%)
Presence of IUGR 36 (40%)
Apgar score, 1 min 4 ± 1.9
Apgar score, 5 min 7 ± 1.4
Duration of ventilator care, d 27 ± 25.3
Presence of BPD, O2 at 36 wk 22 (24.4%)
Postnatal steroids 45 (50%)
History of sepsis, culture-proven 28 (31.1%)
Peak level of CRP, mg/dL 2.83 ± 4.84
NEC 8 (8.9%)
ROP 48 (53.3%)
IVH grade 3–4 9 (10%)
Laser operation for ROP 21 (23.3%)
AED medication 8 (8.9%)

Note:—Data are reported as number (%) or as mean ± standard deviation.

CRP indicates C-reactive protein; IUGR, intrauterine growth restriction; IVH, intraventricular hemorrhage; NEC, necrotizing enterocolitis; PROM, premature rupture of membrane; ROP, retinopathy of prematurity; BPD, bronchopulmonary dysplasia.

Perinatal Factors Associated with Adverse Neurologic Outcomes

In total, 15 of 90 infants (16.7%) and 24 of 90 (26.7%) infants showed MDI and PDI values <70, respectively. Another 8 patients (8.9%) were diagnosed with cerebral palsy, and 33 (36.7%) showed major neurologic disabilities. Risk variables found to be significantly correlated with the outcomes in the univariate analysis were entered into multivariate analysis: AED medication (OR, 7.687; P = .023) and the duration of O2 requirement (OR, 10.014; P = .055) were associated with a PDI <70; the duration of O2 requirement (OR, 10.022; P = .009) and a history of sepsis (OR, 3.723; P = .044) were associated with an MDI <70. The use of prenatal steroids (OR, 0.065; P = .028) showed a protective effect on cognitive function (Table 2). The factors associated with a major neurologic disability included the use of AED medication (OR, 6.958; P = .025) and a history of sepsis (OR, 2.508; P = .058) (Table 2).

Table 2:

Relationship between perinatal factors and adverse neurologic outcomes determined by multivariate logistic regression analysis

Neurologic Outcomes Perinatal Factors OR (95% CI) P Value
PDI <70 Duration of O2 requirement 10.01 (0.999–10.028) .055
AED medication 7.69 (1.329–44.476) .228
MDI <70 Duration of O2 requirement 10.02 (10.005–10.040) .010
Prenatal steroids 0.06 (0.005–0.747) .028
History of sepsis 3.72 (10.0337–13.363) .044
Major neurologic outcomes AED medication 6.96 (1.274–37.988) .025
History of sepsis 2.51 (0.970–6.485) .058

Association between Measurements of MR Imaging and Adverse Neurologic Outcomes

The linear measurement of the TCD and the anteroposterior length of the corpus callosum on MR imaging showed satisfactory ICCs for interobserver and intraobserver reliabilities (Fig 1). A short TCD was associated with poor motor and cognitive function, as indicated by a PDI <70 (OR, 0.780; P = .003), MDI <70 (OR, 0.785; P = .004), and major neurologic disability (OR, 0.815; P = .006). A short anteroposterior length of the corpus callosum was associated with an MDI <70 (OR, 0.876; P = .047) and high-risk or diagnosed cerebral palsy (OR, 0.915; P = .049) (Table 3).

Table 3:

Association between MRI measurements and adverse neurologic outcomes determined by univariate logistic regression analysis

Measurements Outcomes OR (95% CI) P Value
TCD PDI <70 0.780 (0.662–0.919) .003
MDI <70 0.785 (0.665–0.927) .004
Major neurologic disability 0.815 (0.704–0.944) .006
Corpus callosal length MDI <70 0.876 (0.768–0.998) .047
High-risk or diagnosed CP 0.915 (0.838–0.999) .049

Note:—CP indicates cerebral palsy.

Perinatal Factors Associated with TCD and Length of Corpus Callosum on Multivariate Analysis

Among several perinatal factors, birth weight (OR 0.005, P = .043), presence of bronchopulmonary dysplasia (OR, −2.358; P = .007), use of AED medication (OR, −3.347; P = .010), and a history of sepsis (OR, −1.642; P = .034) were associated with a short TCD. The factors associated with corpus callosal length included a small head circumference at the time of the MR imaging (OR, 3.947; P < .001), the use of prenatal steroids (OR, 10.141; P = .002), and AED medication (OR, −8.215; P < .001) (Table 4).

Table 4:

Perinatal factors associated with MRI measurements on multivariate analysis

Measurements Perinatal Factors Estimated Regression Coefficient (95% CI) P Value
TCD Birth weight 0.005 [0.001, 0.010] .028
Presence of BPD −2.358 [−40.025, −0.692] .007
AED medication −3.347 [−5.840, −0.853] .010
History of sepsis −1.642 [−3.137, −0.146] .034
Corpus callosal length HC when MRI was taken 3.947 [1.915, 5.978] <.001
Prenatal steroids 10.141 [40.017, 16.264] .002
AED medication −8.215 [−12.641, −3.790] <.001

Note:—HC indicates head circumference; BPD, bronchopulmonary dysplasia.

Discussion

Many neonatologists counsel parents of very low–birth-weight infants about the long-term prognosis with the use of known antenatal22,23 and postnatal risk factors3,4,24,25 associated with neurodevelopmental outcomes. In-depth studies2628 are in progress to better predict neurodevelopmental outcomes in this vulnerable population. The objective of this study was to evaluate correlations between brain MR imaging measurements taken at term-equivalent age before discharge from the NICU and the neurodevelopmental outcome at 2 years' corrected age among very low–birth-weight infants. We used the PACS system of the Asan Medical Center, which has been described in detail in Im et al21 to measure the different brain parameters. Other reports2931 have shown the usefulness of this system, emphasizing its reproducibility and reliability as well as the convenient access to images. Unlike the other 9 MR imaging parameters that we also measured (data not shown), which included ventricle width, biparietal diameter, bifrontal diameter, subarachnoid space widening (axial and sagittal images), and corpus callosal thickness. Among them, only the TCD and corpus callosal length were found to have acceptable intraclass and interclass correlation coefficients for consistency (Fig 1). The measurement of TCD on the coronal plane was used before by Nguyen The Tich et al,16 but we measured TCD on the axial plane, which also could be applied on an axial CT image.

The rapid growth of the cerebellum that occurs from 28–40 weeks of gestation can be impeded by premature birth.7,32,33 Here, a smaller TCD, indicative of neuronal loss or impaired neuronal differentiation with a reduction in dendritic and axonal development that may be independent of immaturity,3 was associated with poor cognitive and psychomotor function. These results concur with those of the report of Tich et al34 in preterm infants born at a gestational age <30 weeks or a weight of <1.25 kg. The cerebellar injury, mainly occurring in the external granular layer, possibly related to a disturbance of cerebellar growth caused by hemosiderin on the cerebellar surface or postnatal factors such as hypoxia-ischemia, infection, and steroids as well as direct cerebellar destructive injury.7,8 Impaired neuronal connection between cerebrum and cerebellum as a remote effect can also contribute to cerebellar underdevelopment.7,8

We used phenobarbital as a primary medication in neonatal seizure when both clinical and electrical evidence of seizures was evident. Both the seizures and the AED medication may cause cerebellar atrophy—either synergistically35 or independently36—during the development of the cerebellum. Abnormalities of the cerebellum in mice after exposure to phenobarbital, such as a decrease in the number of Purkinje37 and granular cells,33 without an effect on the area of the cerebellum, have been reported. Sepsis, an independent risk factor for a poor neurologic outcome,25,34,38 could have exerted a detrimental effect on the growth of the cerebellum by diffuse white matter injury,24 bacterial products and cytokines,39,40 arterial hypotension, and combined cerebral ischemia.25 Bronchopulmonary dysplasia, a known risk factor for neurodevelopmental impairment, has also been reported to exert an effect on the granular cells of the cerebellum, as shown in a baboon model.33 In the present study, however, bronchopulmonary dysplasia alone was not associated with severe cognitive and motor deficits, though the duration of O2 requirement, which may have included a period of hyperoxia and hypoxia, was associated with poor cognitive and motor outcomes. Reports have shown that the use of either a high oxygen concentration, which affects the inner granular cell and Purkinje cell layer,33 or a hypoxic insult, which affects neuronal migration,41 could influence the growth of the developing human cerebellum.

A premature transition from intrauterine to extrauterine life10 and stress or damage in the neonatal period could affect the development of the corpus callosum. The corpus callosum is known to have an intrinsic vulnerability to hypoxic-ischemic damage and hemorrhage.2,14 A decreased number or diameter of axons and myelin loss was observed in preterm infants with hypoxia or ischemia42 that could be explained with necrosis, apoptosis, astrogliosis, and microgliosis as well as injury of premyelinating oligodendrocytes in white matter, including the corpus callosum.7,43 In the development of the corpus callosum, the corpus callosum expands in the craniocaudal direction: genu first and then body to splenium.12 Thus, the development of the posterior part is an ongoing process that continues through the neonatal period after preterm birth, and an altered development of the corpus callosum such as a shortening and/or thinning persists into childhood.14 We assumed that the underdevelopment of the posterior part of the corpus callosum would result in a shorter length of the corpus callosum as well as a thinning of the splenium. Our attempt to measure the thickness of the corpus callosum was hampered by a poor consistency in the measurements (ICC = 0.133–0.418 in interobserver variability, ICC = 0.003–0.367 in intraobserver variability). Reports have shown a positive relationship between both the corpus callosal size and total white matter volume and a decreased area of the posterior or midposterior region corresponding to the splenium and poor verbal skill in preterm males.14 In our study, a short corpus callosal length was associated in univariate analysis with high-risk or diagnosed cerebral palsy and an MDI <70.

In contrast to the study of Wood et al,44 which reported a relationship between the administration of antenatal steroids and a lower MDI, antenatal steroid showed a protective effect on the growth of the corpus callosum in our study (Table 4), in accordance with the protective effect of antenatal steroids on white matter injury in very low–birth-weight infants reported by Leviton et al23 and Agarwal et al.22 The effect of seizures, as evidenced by the use of AEDs in our study, might have caused the reduction in the corpus callosal volume, especially in the posterior region, as reported by Hermann et al.45

There are limitations that must be addressed regarding the present study. We did not examine the association of the white or gray matter abnormalities, such as hemorrhage or leukomalacia, and other signal changes with brain measurements. The other limitation includes the short-term follow-up period and a lack of control group. Further research is required to determine whether the changes in brain structures in very preterm infants would persist into later life.

Conclusions

In this study, we were able to elucidate the usefulness of the axial measurement of the TCD and the length of the corpus callosum taken from brain MR imaging at term-corrected ages in predicting long-term neurologic outcome. Various perinatal factors, such as a lower birth weight, use of AEDs, sepsis, bronchopulmonary dysplasia, and a smaller head circumference, some of which are independently associated with poor cognitive and motor skills later in life, could affect the development of the cerebellum and corpus callosum during the most vulnerable period in NICU hospitalization.

ABBREVIATIONS:

AED

antiepileptic drug

NICU

neonatal intensive care unit

MDI

Mental Developmental Index

PDI

Psychomotor Developmental Index

TCD

transcerebellar diameter

REFERENCES

  • 1. Inder TE, Warfield SK, Wang H, et al. Abnormal cerebral structure is present at term in premature infants. Pediatrics 2005;115:286–94 [DOI] [PubMed] [Google Scholar]
  • 2. Back SA, Luo NL, Borenstein NS, et al. Late oligodendrocyte progenitors coincide with the developmental window of vulnerability for human perinatal white matter injury. J Neurosci 2001;21:1302–12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Neubauer AP, Voss W, Kattner E. Outcome of extremely low birth weight survivors at school age: the influence of perinatal parameters on neurodevelopment. Eur J Pediatr 2008;167:87–95 [DOI] [PubMed] [Google Scholar]
  • 4. Shah DK, Doyle LW, Anderson PJ, et al. Adverse neurodevelopment in preterm infants with postnatal sepsis or necrotizing enterocolitis is mediated by white matter abnormalities on magnetic resonance imaging at term. J Pediatr 2008;153:170–75.e1 [DOI] [PubMed] [Google Scholar]
  • 5. Wood NS, Marlow N, Costeloe K, et al. Neurologic and developmental disability after extremely preterm birth: EPICure Study Group. N Engl J Med 2000;343:378–84 [DOI] [PubMed] [Google Scholar]
  • 6. Armstrong DL, Bagnall C, Harding JE, et al. Measurement of the subarachnoid space by ultrasound in preterm infants. Arch Dis Child Fetal Neonatal Ed 2002;86:F124–26 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Volpe JJ. Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurol 2009;8:110–24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Volpe JJ. Cerebellum of the premature infant: rapidly developing, vulnerable, clinically important. J Child Neurol 2009;24:1085–104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Sauerwein HC, Lassonde M. Cognitive and sensori-motor functioning in the absence of the corpus callosum: neuropsychological studies in callosal agenesis and callosotomized patients. Behav Brain Res 1994;64:229–40 [DOI] [PubMed] [Google Scholar]
  • 10. Peterson BS, Anderson AW, Ehrenkranz R, et al. Regional brain volumes and their later neurodevelopmental correlates in term and preterm infants. Pediatrics 2003;111:939–48 [DOI] [PubMed] [Google Scholar]
  • 11. Horsch S, Muentjes C, Franz A, et al. Ultrasound diagnosis of brain atrophy is related to neurodevelopmental outcome in preterm infants. Acta Paediatr 2005;94:1815–21 [DOI] [PubMed] [Google Scholar]
  • 12. Rademaker KJ, Lam JN, Van Haastert IC, et al. Larger corpus callosum size with better motor performance in prematurely born children. Semin Perinatol 2004;28:279–87 [DOI] [PubMed] [Google Scholar]
  • 13. Iai M, Tanabe Y, Goto M, et al. A comparative magnetic resonance imaging study of the corpus callosum in neurologically normal children and children with spastic diplegia. Acta Paediatr 1994;83:1086–90 [DOI] [PubMed] [Google Scholar]
  • 14. Nosarti C, Rushe TM, Woodruff PW, et al. Corpus callosum size and very preterm birth: relationship to neuropsychological outcome. Brain 2004;127:2080–89 [DOI] [PubMed] [Google Scholar]
  • 15. Dyet LE, Kennea N, Counsell SJ, et al. Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment. Pediatrics 2006;118:536–48 [DOI] [PubMed] [Google Scholar]
  • 16. Nguyen The Tich S, Anderson PJ, Shimony JS, et al. A novel quantitative simple brain metric using MR imaging for preterm infants. AJNR Am J Neuroradiol 2009;30:125–31 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Lind A, Parkkola R, Lehtonen L, et al. Associations between regional brain volumes at term-equivalent age and development at 2 years of age in preterm children. Pediatr Radiol 2011;41:953–61 [DOI] [PubMed] [Google Scholar]
  • 18. Effect of corticosteroids for fetal maturation on perinatal outcomes. NIH Consensus Statement 1994;12:1–24 [PubMed] [Google Scholar]
  • 19. Hamrick SE, Hansmann G. Patent ductus arteriosus of the preterm infant. Pediatrics 2010;125:1020–30 [DOI] [PubMed] [Google Scholar]
  • 20. Early Treatment for Retinopathy of Prematurity Cooperative Group. Revised indications for the treatment of retinopathy of prematurity: results of the Early Treatment for Retinopathy of Prematurity Randomized Trial. Arch Ophthalmol 2003;121:1684–94 [DOI] [PubMed] [Google Scholar]
  • 21. Im KC, Choi IS, Ryu JS, et al. PET/CT fusion viewing software for use with picture archiving and communication systems. J Digit Imaging 2010;23:732–43 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Agarwal R, Chiswick ML, Rimmer S, et al. Antenatal steroids are associated with a reduction in the incidence of cerebral white matter lesions in very low birthweight infants. Arch Dis Child Fetal Neonatal Ed 2002;86:F96–101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Leviton A, Dammann O, Allred EN, et al. Antenatal corticosteroids and cranial ultrasonographic abnormalities. Am J Obstet Gynecol 1999;181:1007–17 [DOI] [PubMed] [Google Scholar]
  • 24. Stoll BJ, Hansen NI, Adams-Chapman I, et al. Neurodevelopmental and growth impairment among extremely low-birth-weight infants with neonatal infection. JAMA 2004;292:2357–65 [DOI] [PubMed] [Google Scholar]
  • 25. Schlapbach LJ, Aebischer M, Adams M, et al. Impact of sepsis on neurodevelopmental outcome in a Swiss national cohort of extremely premature infants. Pediatrics 2012;128:e348–57 [DOI] [PubMed] [Google Scholar]
  • 26. Hayashi-Kurahashi N, Kidokoro H, Kubota T, et al. EEG for predicting early neurodevelopment in preterm infants: an observational cohort study. Pediatrics 2012;130:e891–97 [DOI] [PubMed] [Google Scholar]
  • 27. Sutton PS, Darmstadt GL. Preterm birth and neurodevelopment: a review of outcomes and recommendations for early identification and cost-effective interventions. J Trop Pediatr 2013;59:258–65 [DOI] [PubMed] [Google Scholar]
  • 28. Harijan P, Beer C, Glazebrook C, et al. Predicting developmental outcomes in very preterm infants: validity of a neonatal neurobehavioral assessment. Acta Paediatrica 2012;101:e275–81 [DOI] [PubMed] [Google Scholar]
  • 29. Singh P, Davies TI. A comparison of cephalometric measurements: a picture archiving and communication system versus the hand-tracing method: a preliminary study. Eur J Orthod 2011;33:350–53 [DOI] [PubMed] [Google Scholar]
  • 30. Monsky WL, Raptopoulos V, Keogan MT, et al. Reproducibility of linear tumor measurements using PACS: comparison of caliper method with edge-tracing method. Eur Radiol 2004;14:519–25 [DOI] [PubMed] [Google Scholar]
  • 31. Khakharia S, Bigman D, Fragomen AT, et al. Comparison of PACS and hard-copy 51-inch radiographs for measuring leg length and deformity. Clin Orthop Relat Res 2011;469:244–50 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Limperopoulos C, Soul JS, Gauvreau K, et al. Late gestation cerebellar growth is rapid and impeded by premature birth. Pediatrics 2005;115:688–95 [DOI] [PubMed] [Google Scholar]
  • 33. Rees SM, Loeliger MM, Munro KM, et al. Cerebellar development in a baboon model of preterm delivery: impact of specific ventilatory regimes. J Neuropathol Exp Neurol 2009;68:605–15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Tich SNT, Anderson PJ, Hunt RW, et al. Neurodevelopmental and perinatal correlates of simple brain metrics in very preterm infants. Arch Pediatr Adolesc Med 2011;165:216–22 [DOI] [PubMed] [Google Scholar]
  • 35. Ney GC, Lantos G, Barr WB, et al. Cerebellar atrophy in patients with long-term phenytoin exposure and epilepsy. Arch Neurol 1994;51:767–71 [DOI] [PubMed] [Google Scholar]
  • 36. De Marcos FA, Ghizoni E, Kobayashi E, et al. Cerebellar volume and long-term use of phenytoin. Seizure 2003;12:312–15 [DOI] [PubMed] [Google Scholar]
  • 37. Hannah RS, Roth SH, Spira AW. Effect of phenobarbital on Purkinje cell growth patterns in the rat cerebellum. Exp Neurol 1988;100:354–64 [DOI] [PubMed] [Google Scholar]
  • 38. Shah DK, Anderson PJ, Carlin JB, et al. Reduction in cerebellar volumes in preterm infants: relationship to white matter injury and neurodevelopment at two years of age. Pediatr Res 2006;60:97–102 [DOI] [PubMed] [Google Scholar]
  • 39. Schlapbach LJ, Aebischer M, Adams M, et al. Impact of sepsis on neurodevelopmental outcome in a Swiss national cohort of extremely premature infants. Pediatrics 2011;128:e348–57 [DOI] [PubMed] [Google Scholar]
  • 40. Wu YW, Colford JM. Chorioamnionitis as a risk factor for cerebral palsy. JAMA 2000;284:1417–24 [DOI] [PubMed] [Google Scholar]
  • 41. Rees S, Stringer M, Just Y, et al. The vulnerability of the fetal sheep brain to hypoxemia at mid-gestation. Dev Brain Res 1997;103:103–18 [DOI] [PubMed] [Google Scholar]
  • 42. Nagy Z, Westerberg H, Skare S, et al. Preterm children have disturbances of white matter at 11 years of age as shown by diffusion tensor imaging. Pediatr Res 2003;54:672–79 [DOI] [PubMed] [Google Scholar]
  • 43. Tekkok SB, Goldberg MP. Ampa/kainate receptor activation mediates hypoxic oligodendrocyte death and axonal injury in cerebral white matter. J Neurosci 2001;21:4237–48 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Wood NS, Costeloe K, Gibson AT, et al. The EPICure study: associations and antecedents of neurological and developmental disability at 30 months of age following extremely preterm birth. Arch Dis Child Fetal Neonatal Ed 2005;90:F134–40 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Hermann B, Hansen R, Seidenberg M, et al. Neurodevelopmental vulnerability of the corpus callosum to childhood onset localization-related epilepsy. NeuroImage 2003;18:284–92 [DOI] [PubMed] [Google Scholar]

Articles from AJNR: American Journal of Neuroradiology are provided here courtesy of American Society of Neuroradiology

RESOURCES