Longitudinal cerebellar growth following very preterm birth.


PURPOSE To measure cerebellar growth in a longitudinal cohort of very preterm infants to identify early predictors of subsequent brain growth. Although the cerebellum grows rapidly during late gestation, the rate and variability of growth following premature birth, and the effects of associated injury, are largely unknown. MATERIALS AND METHODS In all, 105 very-preterm born infants (24-32 weeks GA) were imaged using magnetic resonance imaging (MRI) at birth, term-equivalent, 2, and 4 years of age. Cerebellar and total cerebral volumes were estimated from 1 mm isotropic T1 -weighted scans acquired at 1.5T and 3T, using an atlas-based approach. Linear models were used to analyze cerebellar volume as cross-sectional and longitudinal functions of age, clinical, and radiological correlates. Linear models were also used to test for associations between volume and cognitive outcome. RESULTS Cerebellar volume increased rapidly with age-at-scan during both the preterm (0.7 mL/wk, P < 0.001) and term periods (1.8 mL/wk, P < 0.001). Infants with grade 3 or 4 germinal matrix hemorrhage (GMH) had smaller cerebellar volumes as a percentage of total brain volume starting at birth and continuing to 4 years of age (-0.43%, -0.57%, -1.09% at preterm, term, and 4 years, respectively, P < 0.01). Irrespective of age-at-scan, early cerebellar volume was predictive of volume at 4 years of age (slope = 1.3, P < 0.001). Cerebellar volumes were not found to predict cognitive outcome at 4 years of age; P < 0.2. CONCLUSION High-grade GMH and small perinatal cerebellar size is predictive of cerebellar development up to 4 years of age. These findings suggest that it is possible to identify individuals at high risk of reduced cerebellar volumes at an early age. J. Magn. Reson. Imaging 2016;43:1462-1473.

DOI: 10.1002/jmri.25098

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@article{Lee2016LongitudinalCG, title={Longitudinal cerebellar growth following very preterm birth.}, author={Wayne Lee and Hisham Al-Dossary and Charles Raybaud and Julia M. Young and Benjamin R. Morgan and Hilary E. Whyte and John G. Sled and Margot J. Taylor and Manohar M. Shroff}, journal={Journal of magnetic resonance imaging : JMRI}, year={2016}, volume={43 6}, pages={1462-73} }