MRI at term equivalent age for predicting long-term neurodevelopmental outcome in preterm infants – a cohort study

Balakrishnan, Umamaheswari; Amboiram, Prakash; Ninan, Binu; Chandrasekharan, Anupama; Rangaswamy, Rajeswaran; Subramanian, Lalitha

doi:10.1080/14767058.2018.1532498

Cited by 11 publications

(7 citation statements)

References 29 publications

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“…1 Identifying children at risk is essential for adequate parental counseling and may also facilitate early intervention strategies. 2 Numerous studies have shown that structural MR imaging results at term-equivalent age are predictive of future motor and cognitive outcomes, [3][4][5] and multiple volumetric MR imaging studies have identified associations between reduced brain volume and impaired neurodevelopment. [6][7][8] Notably however, quantifying brain volumes in neonates is challenging.…”

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confidence: 99%

Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation

Vanderhasselt

Naeyaert

Watté

et al. 2020

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: Neonatal MR imaging brain volume measurements can be used as biomarkers for long-term neurodevelopmental outcome, but quantitative volumetric MR imaging data are not usually available during routine radiologic evaluation. In the current study, the feasibility of automated quantitative brain volumetry and image reconstruction via synthetic MR imaging in very preterm infants was investigated. MATERIALS AND METHODS:Conventional and synthetic T1WIs and T2WIs from 111 very preterm infants were acquired at termequivalent age. Overall image quality and artifacts of the conventional and synthetic images were rated on a 4-point scale.Legibility of anatomic structures and lesion conspicuity were assessed on a binary scale. Synthetic MR volumetry was compared with that generated via MANTiS, which is a neonatal tissue segmentation toolbox based on T2WI.RESULTS: Image quality was good or excellent for most conventional and synthetic images. The 2 methods did not differ significantly regarding image quality or diagnostic performance for focal and cystic WM lesions. Dice similarity coefficients had excellent overlap for intracranial volume (97.3%) and brain parenchymal volume (94.3%), and moderate overlap for CSF (75.6%). Bland-Altman plots demonstrated a small systematic bias in all cases (1.7%-5.9%) CONCLUSIONS: Synthetic T1WI and T2WI sequences may complement or replace conventional images in neonatal imaging, and robust synthetic volumetric results are accessible from a clinical workstation in less than 1 minute. Via the above-described methods, volume assessments could be routinely used in daily clinical practice.

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mentioning

confidence: 99%

Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation

Vanderhasselt

Naeyaert

Watté

et al. 2020

AJNR Am J Neuroradiol

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“…As neonatal brains mature, WM myelination and other processes, such as fiber organization, restrict water movement along WM tracts, leading to an increase in FA values and a decrease in diffusivity metrics, such as MD and RD 15,22,23 . Several studies indicate that DTI metrics in term and preterm infants are associated with motor and cognitive outcomes at 1‐2 years 24,25 . Long‐term studies of preterm children also show an association between term‐equivalent DTI metrics in the corticospinal tract with Gross Motor Functional scale at 4 years of age 26 ; and low FA values of internal capsule with visual motor and visual perceptual deficits at 15 years of age 27 .…”

Section: Discussionmentioning

confidence: 99%

“…15,22,23 Several studies indicate that DTI metrics in term and preterm infants are associated with motor and cognitive outcomes at 1-2 years. 24,25 Long-term studies of preterm children also show an association between term-equivalent DTI metrics in the corticospinal tract with Gross Motor Functional scale at 4 years of age 26 ; and low FA values of internal capsule with visual motor and visual perceptual deficits at 15 years of age. 27 Although neuroimaging information alone cannot account for the complex nature of VPIs' brain development, they can still provide an early indicator of longterm outcome-especially in neonates with unremarkable neurological exam and routine MRI.…”

Section: Impact Of Postnatal Weight Changes On Wm Microstructurementioning

confidence: 94%

Impact of postnatal weight gain on brain white matter maturation in very preterm infants

Bobba

Weber

Higaki

et al. 2023

Journal of Neuroimaging

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Background and PurposeVery preterm infants (VPIs, <32 weeks gestational age at birth) are prone to long‐term neurological deficits. While the effects of birth weight and postnatal growth on VPIs’ neurological outcome are well established, the neurobiological mechanism behind these associations remains elusive. In this study, we utilized diffusion tensor imaging (DTI) to characterize how birth weight and postnatal weight gain influence VPIs’ white matter (WM) maturation.MethodsWe included VPIs with complete birth and postnatal weight data in their health record, and DTI scan as part of their predischarge Magnetic Resonance Imaging (MRI). We conducted voxel‐wise general linear model and tract‐based regression analyses to explore the impact of birth weight and postnatal weight gain on WM maturation.ResultsWe included 91 VPIs in our analysis. After controlling for gestational age at birth and time between birth and scan, higher birth weight Z‐scores were associated with DTI markers of more mature WM tracts, most prominently in the corpus callosum and sagittal striatum. The postnatal weight Z‐score changes over the first 4 weeks of life were also associated with increased maturity in these WM tracts, when controlling for gestational age at birth, birth weight Z‐score, and time between birth and scan.ConclusionsIn VPIs, birth weight and post‐natal weight gain are associated with markers of brain WM maturation, particularly in the corpus callosum, which can be captured on discharge MRI. These neuroimaging metrics can serve as potential biomarkers for the early effects of nutritional interventions on VPIs’ brain development.

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“…In the United States alone, approximately 500,000 infants are born preterm each year, representing about 10% of all live births ( Frey and Klebanoff, 2016 ). Importantly, despite advances in neonatal care, a wide range of motor outcomes, including lifelong disability, still occur in surviving very preterm (VPT, ≤32 weeks’ gestation) children ( Balakrishnan et al, 2020 , Dewan et al, 2019 , Evensen et al, 2020 , Johnson and Marlow, 2017 ), with high rates of cerebral palsy (CP, ∼5–15%) and other forms of motor impairment (up to 70%) ( Evensen et al, 2020 ). Further, children with motor disability, even when that disability is mild, experience increased rates of obesity, mental health problems, and decreased health-related quality of life that persist into adulthood ( Cairney et al, 2010 , Karras et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Neonatal motor functional connectivity and motor outcomes at age two years in very preterm children with and without high-grade brain injury

Cyr¹,

Lean²,

Kenley³

et al. 2022

NeuroImage: Clinical

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MRI at term equivalent age for predicting long-term neurodevelopmental outcome in preterm infants – a cohort study

Cited by 11 publications

References 29 publications

Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation

Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation

Impact of postnatal weight gain on brain white matter maturation in very preterm infants

Neonatal motor functional connectivity and motor outcomes at age two years in very preterm children with and without high-grade brain injury

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