Punctate White Matter Lesions Associated With Altered Brain Development And Adverse Motor Outcome In Preterm Infants

Nora Tusor, Manon J Benders, Serena J Counsell, Phumza Nongena, Moegamad A Ederies, Shona Falconer, Andrew Chew, Nuria Gonzalez-Cinca, Joseph V Hajnal, Sunay Gangadharan, Vasiliki Chatzi, Karina J Kersbergen, Nigel Kennea, Denis V Azzopardi, A David Edwards, Nora Tusor, Manon J Benders, Serena J Counsell, Phumza Nongena, Moegamad A Ederies, Shona Falconer, Andrew Chew, Nuria Gonzalez-Cinca, Joseph V Hajnal, Sunay Gangadharan, Vasiliki Chatzi, Karina J Kersbergen, Nigel Kennea, Denis V Azzopardi, A David Edwards

Abstract

Preterm infants who develop neurodevelopmental impairment do not always have recognized abnormalities on cerebral ultrasound, a modality routinely used to assess prognosis. In a high proportion of infants, MRI detects punctate white matter lesions that are not seen on ultrasonography. To determine the relation of punctate lesions to brain development and early neurodevelopmental outcome we used multimodal brain MRI to study a large cohort of preterm infants. Punctate lesions without other focal cerebral or cerebellar lesions were detected at term equivalent age in 123 (24.3%) (59 male) of the 506 infants, predominantly in the centrum semiovale and corona radiata. Infants with lesions had higher gestational age, birth weight, and less chronic lung disease. Punctate lesions showed a dose dependent relation to abnormalities in white matter microstructure, assessed with tract-based spatial statistics, and reduced thalamic volume (p < 0.0001), and predicted unfavourable motor outcome at a median (range) corrected age of 20.2 (18.4-26.3) months with sensitivity (95% confidence intervals) 71 (43-88) and specificity 72 (69-77). Punctate white matter lesions without associated cerebral lesions are common in preterm infants currently not regarded as at highest risk for cerebral injury, and are associated with widespread neuroanatomical abnormalities and adverse early neurodevelopmental outcome.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
CONSORT diagram. PWML, punctate white matter lesion.
Figure 2
Figure 2
STARD diagram. GMFCS, Gross Motor Classification System; PWML, punctate white matter lesion.
Figure 3
Figure 3
Typical location and distribution of punctate white matter lesions. (A) Punctate white matter lesions apparent as high signal focal lesions on magnetization-prepared rapid gradient echo image in a single infant. (B) Group-level probabilistic lesion map (yellow-red) in relation to the corticospinal tracts (blue) overlaid on a 40-week T2-weighted template. Images are displayed in sagittal, coronal and transverse views.
Figure 4
Figure 4
Punctate white matter lesions are associated with altered white matter microstructure. Mean fractional anisotropy maps in sagittal, coronal, and transverse views showing white matter regions where infants with punctate lesions had significantly (A). higher radial diffusivity (blue) and (B). lower fractional anisotropy (green) as assessed with tract-based spatial statistics.

References

    1. Ancel PY, et al. Cerebral palsy among very preterm children in relation to gestational age and neonatal ultrasound abnormalities: the EPIPAGE cohort study. Pediatrics. 2006;117:828–835. doi: 10.1542/peds.2005-0091.
    1. Hintz SR, et al. Neuroimaging and neurodevelopmental outcome in extremely preterm infants. Pediatrics. 2015;135:e32–42. doi: 10.1542/peds.2014-0898.
    1. Wagenaar N, et al. Clinical Risk Factors for Punctate White Matter Lesions on Early Magnetic Resonance Imaging in Preterm Newborns. The Journal of pediatrics. 2017;182:34–40 e31. doi: 10.1016/j.jpeds.2016.11.073.
    1. Leijser LM, et al. Brain imaging findings in very preterm infants throughout the neonatal period: part I. Incidences and evolution of lesions, comparison between ultrasound and MRI. Early human development. 2009;85:101–109. doi: 10.1016/j.earlhumdev.2008.11.010.
    1. Miller SP, et al. Comparing the diagnosis of white matter injury in premature newborns with serial MR imaging and transfontanel ultrasonography findings. AJNR. American journal of neuroradiology. 2003;24:1661–1669.
    1. Rademaker KJ, et al. Neonatal cranial ultrasound versus MRI and neurodevelopmental outcome at school age in children born preterm. Archives of disease in childhood. Fetal and neonatal edition. 2005;90:F489–493. doi: 10.1136/adc.2005.073908.
    1. Dyet LE, et al. Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment. Pediatrics. 2006;118:536–548. doi: 10.1542/peds.2005-1866.
    1. Ramenghi LA, et al. Magnetic resonance imaging assessment of brain maturation in preterm neonates with punctate white matter lesions. Neuroradiology. 2007;49:161–167. doi: 10.1007/s00234-006-0176-y.
    1. Bassi L, et al. Diffusion tensor imaging in preterm infants with punctate white matter lesions. Pediatric research. 2011;69:561–566. doi: 10.1203/PDR.0b013e3182182836.
    1. Chau V, et al. Abnormal brain maturation in preterm neonates associated with adverse developmental outcomes. Neurology. 2013;81:2082–2089. doi: 10.1212/01.wnl.0000437298.43688.b9.
    1. Wisnowski JL, et al. Reduced thalamic volume in preterm infants is associated with abnormal white matter metabolism independent of injury. Neuroradiology. 2015;57:515–525. doi: 10.1007/s00234-015-1495-7.
    1. Smyser CD, et al. Effects of white matter injury on resting state fMRI measures in prematurely born infants. PloS one. 2013;8:e68098. doi: 10.1371/journal.pone.0068098.
    1. Cornette LG, et al. Magnetic resonance imaging of the infant brain: anatomical characteristics and clinical significance of punctate lesions. Archives of disease in childhood. Fetal and neonatal edition. 2002;86:F171–177. doi: 10.1136/fn.86.3.F171.
    1. de Bruine FT, et al. Clinical implications of MR imaging findings in the white matter in very preterm infants: a 2-year follow-up study. Radiology. 2011;261:899–906. doi: 10.1148/radiol.11110797.
    1. Jeon TY, et al. Neurodevelopmental outcomes in preterm infants: comparison of infants with and without diffuse excessive high signal intensity on MR images at near-term-equivalent age. Radiology. 2012;263:518–526. doi: 10.1148/radiol.12111615.
    1. Miller SP, et al. Early brain injury in premature newborns detected with magnetic resonance imaging is associated with adverse early neurodevelopmental outcome. The Journal of pediatrics. 2005;147:609–616. doi: 10.1016/j.jpeds.2005.06.033.
    1. Nanba Y, et al. Magnetic resonance imaging regional T1 abnormalities at term accurately predict motor outcome in preterm infants. Pediatrics. 2007;120:e10–19. doi: 10.1542/peds.2006-1844.
    1. Guo T, et al. Quantitative assessment of white matter injury in preterm neonates: Association with outcomes. Neurology. 2017;88:614–622. doi: 10.1212/WNL.0000000000003606.
    1. Palisano R, et al. Development and reliability of a system to classify gross motor function in children with cerebral palsy. Developmental medicine and child neurology. 1997;39:214–223. doi: 10.1111/j.1469-8749.1997.tb07414.x.
    1. Gorter JW, Verschuren O, van Riel L, Ketelaar M. The relationship between spasticity in young children (18 months of age) with cerebral palsy and their gross motor function development. BMC musculoskeletal disorders. 2009;10:108–116. doi: 10.1186/1471-2474-10-108.
    1. Bayley, N. Bayley scales of infant development. Third edn, (The Psychological Corporation, 2006).
    1. Van’t Hooft J, et al. Predicting developmental outcomes in premature infants by term equivalent MRI: systematic review and meta-analysis. Systematic reviews. 2015;4:71–80. doi: 10.1186/s13643-015-0058-7.
    1. Hoon AH, Jr, et al. Sensory and motor deficits in children with cerebral palsy born preterm correlate with diffusion tensor imaging abnormalities in thalamocortical pathways. Developmental medicine and child neurology. 2009;51:697–704. doi: 10.1111/j.1469-8749.2009.03306.x.
    1. Moore T, et al. Neurological and developmental outcome in extremely preterm children born in England in 1995 and 2006: the EPICure studies. Bmj. 2012;345:e7961. doi: 10.1136/bmj.e7961.
    1. Wood NS, Marlow N, Costeloe K, Gibson AT, Wilkinson AR. Neurologic and developmental disability after extremely preterm birth. EPICure Study Group. The New England journal of medicine. 2000;343:378–384. doi: 10.1056/NEJM200008103430601.
    1. Spittle AJ, et al. Does the Bayley-III Motor Scale at 2 years predict motor outcome at 4 years in very preterm children? Developmental medicine and child neurology. 2013;55:448–452. doi: 10.1111/dmcn.12049.
    1. Kersbergen KJ, et al. Different patterns of punctate white matter lesions in serially scanned preterm infants. PloS one. 2014;9:e108904. doi: 10.1371/journal.pone.0108904.
    1. Department of communities and local government. English indices of deprivation, 2015. . Date of access: 09/07/2016.
    1. Woolrich MW, et al. Bayesian analysis of neuroimaging data in FSL. NeuroImage. 2009;45:S173–186. doi: 10.1016/j.neuroimage.2008.10.055.
    1. Rueckert D, et al. Nonrigid registration using free-form deformations: application to breast MR images. IEEE transactions on medical imaging. 1999;18:712–721. doi: 10.1109/42.796284.
    1. Makropoulos A, et al. Automatic whole brain MRI segmentation of the developing neonatal brain. IEEE transactions on medical imaging. 2014;33:1818–1831. doi: 10.1109/TMI.2014.2322280.
    1. Behrens TE, et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic resonance in medicine. 2003;50:1077–1088. doi: 10.1002/mrm.10609.
    1. Ball G, et al. An optimised tract-based spatial statistics protocol for neonates: applications to prematurity and chronic lung disease. NeuroImage. 2010;53:94–102. doi: 10.1016/j.neuroimage.2010.05.055.
    1. Winkler AM, Ridgway GR, Webster MA, Smith SM, Nichols TE. Permutation inference for the general linear model. NeuroImage. 2014;92:381–397. doi: 10.1016/j.neuroimage.2014.01.060.

Source: PubMed

3
Abonneren