Brain malformations and cognitive performance in spina bifida.

AIM: To systematically characterize radiological features of patients with spina bifida, their relationship to cognitive function, and differences between spina bifida aperta (SBA) and spina bifida occulta (SBO). METHOD: In a retrospective study of 265 patients (117 females, 148 males; median age at imaging 11y, range 1-47y; SBA n=206, SBO n=59), the radiological phenotype was assessed through magnetic resonance imaging (MRI) (SBA n=171, SBO n=59). In 126 patients (SBA n=116, SBO n=10) Kaufman Assessment Battery for Children (KABC) or Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) and Wechsler Adult Intelligence Scale, Fourth Edition (WAIS-IV) were performed. RESULTS: Patients with spina bifida show numerous brain malformations, always present for SBA but rarely for SBO. The most frequent brain malformations in SBA included abnormal corpus callosum (69%), hypoplastic pons (50%), and hypoplastic mesencephalon (20%). Cognitive total IQ scores were below average in 44% (KABC) to 49% (WISC-IV) of children with SBA, while almost all children with SBO scored at least average. Stenogyria (p=0.006), pons (p=0.003), and mesencephalon hypoplasia (p=0.01) correlated with lower total IQ score and verbal comprehension. Various brain malformations correlate significantly with several cognitive domains, while lesion level only correlates with processing speed. INTERPRETATION: IQ scores were significantly lower in patients with SBA than in patients with SBO. Verbal competence, perceptual reasoning, and working memory were significantly impaired for SBA and correlated with stenogyria and abnormalities of the midbrain and corpus callosum. WHAT THIS PAPER ADDS: Brain malformations occur more frequently in spina bifida aperta (SBA) than in spina bifida occulta (SBO). Cognitive impairment is less frequent in SBO. Hydrocephalus, stenogyria, midbrain, and corpus callosum abnormalities are associated with lower cognitive function. Difference in prognosis in SBO versus SBA can alter prenatal counselling.

Age-specific occurrence of pathological fractures in patients with spina bifida.

Pathological fractures (PFs) are common in patients with spina bifida. However, most previous studies refer to the overall fracture rate and largely neglecting putative age-dependent aspects. The aim of this retrospective study was to characterize patterns of fracture occurrence in childhood. In a retrospective study, we identified PF, all in the lower limbs, in 13% of 210 patients with spina bifida aperta. We further identified a bimodal frequency distribution of pathological fractures, with peaks at 1-5 and 10-12 years. We could thereby distinguish two groups of patients: (i) Children with a first fracture before an age of 6 years developed frequently multiple fractures within the following years, but fracture series typically stopped by 6 years-of-age. (ii) Children with a first fracture after the age of 6 years had fewer fractures, but these occurred also in adolescence. PF occurred rarely after the age of 13 years. The age at fracture correlated with the fracture site with 85% of the fractures occurring in the femur in the first five years of life and an increased frequency of tibia and foot fractures later in life. While, overall high lesion levels and preceding immobilizing events were risk factors for PF, femur fractures in children under 6 years-of-age occurred independent of their lesion level, and the age at verticalization did not correlate with PF rates.Conclusion: Based on these findings, standardized and effective preventive physiotherapeutic and/or pharmacological interventions to tackle PF in spina bifida need to consider age-specific differences in occurrence and reoccurrence of fractures.What is Known:• Pathological fractures are common in patients with spina bifida aperta, and associated risk factors include high lesion level, immobilization and low bone density.What is New:• We first report a bimodal frequency distribution of pathological fractures in childhood (first peak 1-5 years, second peak 10-12 years) and link early-onset fracture occurrence with the risk of multiple fractures arise in a short time period but a the chance of self-limitation of fracture series within a few years.• We show that femur fractures in children under 6 years-of-age occurred independent of their lesion level, and the age at verticalization did not correlate with PF rates.• We further link the age-dependent occurrence pattern with the risk of further fractures and with the chance of self-limitation of fracture series. The earlier a first fracture occurs, the more probable multiple fractures arise in a short time period. Nevertheless, early fracture series are often self-limiting within a few years.• Femur fractures in children under 6 years-of-age occurred independent of their lesion level, and the age at verticalization did not correlate with PF rates.• Based on these findings, physiotherapeutic and/or pharmaceutical concepts need to be developed in an age-adapted manner and in consideration of the potential self-limiting nature of fracture series.

Standard values for MRI brain biometry throughout the first year of life.

BACKGROUND: Brain structures in the infant brain are investigated reliably using cranial magnetic resonance imaging. However, the lack of quantitative standard values for various brain regions results in data interpretation that is often subjective or based on small patient cohorts. The aim of this study was to create simple linear measurements to assess brain structures in infancy. METHODS: We assessed cranial magnetic resonance imaging sessions of 131 children without intracerebral pathology retrospectively for size of various brain structures throughout the first year of life. RESULTS: Standard values for the size and the growth rate of 14 brain structures including lateral ventricles, frontal subarachnoid space, pons, medulla oblongata, cerebellar vermis, pituitary gland, optical nerve, corpus callosum and the tegmentovermian angle were defined. CONCLUSION: Our study offers reference values for the biometric assessment of the infant brain. Especially in children with multiple brain malformations, it is essential to know the normal absolute and relative size of brain structures.