Cerebral Magnetic Resonance Imaging Findings in Children Born Extremely Preterm, Very Preterm, and at Term

Griffiths, Silja Torvik; Elgen, Irene Bircow; Chong, W.K.; Odberg, Morten Duus; Markestad, Trond; Neto, Emanuel; Aukland, Stein Magnus

doi:10.1016/j.pediatrneurol.2013.03.006

Cited by 12 publications

(10 citation statements)

References 87 publications

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“…The absence of a specific preterm MRI pattern was previously suggested [47], when comparing extremely preterm born children and very preterm 19-year olds with age matched controls. Like the present study, they found ventricular dilatation, white matter affection and thinning of the corpus callosum in the preterm born groups but all three groups shared the same morphological pathology, albeit with higher frequencies in premature cohorts [47].…”

Section: Discussionmentioning

confidence: 74%

Automated quantitative evaluation of brain MRI may be more accurate for discriminating preterm born adults

et al. 2019

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Objective To investigate the structural brain abnormalities and their diagnostic accuracy through qualitative and quantitative analysis in term born and very preterm birth or with very low birthweight (VP/VLBW) adults. Methods: We analyzed 3T MRIs acquired 2011-2013 from 67 adults (27 term born controls, mean age 26.4 years, 8 females; 40 VP/VLBWs, mean age 26.6 years, 16 females). We compared automatic segmentations of white matter, deep grey matter and cortical grey matter, manual corpus callosum measurements and visual ratings of the ventricles and white matter with t-tests, logistic regression and receiver operator characteristic (ROC) curves. Results: Automatic segmentation correctly classified 84% of cases; visual ratings correctly classified 63%. Quantitative volumetry based on automatic segmentation revealed higher ventricular volume, lower posterior corpus callosum and deep grey matter volumes in VP/VLBW subjects compared to controls (P<0.01). Visual rating and manual measurement revealed a thinner corpus callosum in VP/VLBW adults (P=0.04), deformed lateral ventricles (P=0.03) and tendency towards more "dirty" white matter (P=0.06). Automatic/manual measures combined with visual ratings correctly classified 87% of cases. Stepwise logistic regression identified three independent features that correctly classify 81% of cases: ventricular volume, deep grey matter volume and white matter aspect. Conclusion: Enlarged and deformed lateral ventricles, thinner corpus callosum and "dirty" white matter are prevalent in preterm born adults. Their visual evaluation has low diagnostic accuracy. Automatic volume quantification is more accurate but time consuming. It may be useful to ask for prematurity before initiating further diagnostics in subjects with these alterations.

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Section: Discussionmentioning

confidence: 74%

Automated quantitative evaluation of brain MRI may be more accurate for discriminating preterm born adults

et al. 2019

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“…This difference is mainly related to the fact that the prenatal and perinatal conditions that are associated with a shorter gestation are generally more unfavorable, compared with those that are associated with a longer gestation. Numerous previous studies have shown evidence that neurological impairment and developmental disabilities are related to gestation, and are generally more common and more severe in children born extremely premature than in those born late or very premature (16)(17)(18)(19)(20).…”

Section: Discussionmentioning

confidence: 99%

Brainstem auditory abnormality in extremely premature babies and the impact of neonatal bronchopulmonary dysplasia

Wang

Jiang

2018

Acta Obstet Gynecol Scand

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“…Meta-analyses reveal reductions of total brain volume, white and gray matter, cerebellum, hippocampus, caudate and corpus callosum, 2,3 and these changes seem to persist into adolescence. [4][5][6][7][8][9][10] Alterations in brain structures correlate with intellectual and motor abilities in preterm infants. [11][12][13][14] The neuropathology of brain development in premature infants reflects multiple factors.…”

Section: What This Study Addsmentioning

confidence: 99%

Long-Chain Polyunsaturated Fatty Acids and Cognition in VLBW Infants at 8 years: an RCT

et al. 2015

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OBJECTIVE: To test the hypothesis that supplementation with the long chain polyunsaturated fatty acids docosahexaenoic acid (DHA) and arachidonic acid (AA) to very low birth weight (VLBW) infants would improve long-term cognitive functions and influence neuroanatomical volumes and cerebral cortex measured by MRI. METHODS:The current study is a follow-up of a randomized, double-blinded, placebo-controlled study of supplementation with high-dose DHA (0.86%) and AA (0.91%) to 129 VLBW infants fed human milk. Ninety-eight children participated at 8 years follow-up and completed a broad battery of cognitive tests. Eighty-one children had cerebral MRI scans of acceptable quality.RESULTS: There were no significant differences between the intervention group and the control group on any of the cognitive measures. Equally, MRI data on segmental brain volumes and cerebral cortex volume, area, and thickness suggested no overall group effect.CONCLUSIONS: This study is the first long-term follow-up of a randomized controlled trial with supplementation of DHA and AA to human milk fed VLBW infants investigating both cognitive functions and brain macrostructure measured by MRI. No cognitive or neuroanatomical effects of the supplementation were detected at 8 years of age.

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Cerebral Magnetic Resonance Imaging Findings in Children Born Extremely Preterm, Very Preterm, and at Term

Cited by 12 publications

References 87 publications

Automated quantitative evaluation of brain MRI may be more accurate for discriminating preterm born adults

Automated quantitative evaluation of brain MRI may be more accurate for discriminating preterm born adults

Brainstem auditory abnormality in extremely premature babies and the impact of neonatal bronchopulmonary dysplasia

Long-Chain Polyunsaturated Fatty Acids and Cognition in VLBW Infants at 8 years: an RCT

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