Quantitative MRI in the very preterm brain: Assessing tissue organization and myelination using magnetization transfer, diffusion tensor and T1 imaging

Nossin-Manor, Revital; Card, Dallas; Morris, Drew; Noormohamed, Salma; Shroff, Manohar; Whyte, Hilary; Taylor, Margot J.; Sled, John G.

doi:10.1016/j.neuroimage.2012.08.086

Cited by 90 publications

(96 citation statements)

References 65 publications

(111 reference statements)

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“…Recently Kersbergen et al 8 provided reference diffusivity values from scans obtained between 30 weeks and TEA. Compared with these studies, our ADC and FA values were similar to those in NossinManor 11 and Partridge et al, 26 and FA values were slightly higher than those reported by other groups. 8,24 The relatively large heterogeneity of FA values in the literature is difficult to explain with certainty.…”

Section: Discussionsupporting

confidence: 88%

“…Miller et al, 7 by using DTI, also showed serial differences in maturation in 23 infants with and without WM injury. Later, Nossin-Manor et al 11 assessed tissue organization longitudinally and were able to show a difference in maturation according to the different ROIs and the different techniques used, such as magnetization transfer, DTI, and T1 imaging. Recently Kersbergen et al 8 provided reference diffusivity values from scans obtained between 30 weeks and TEA.…”

Section: Discussionmentioning

confidence: 99%

“…Concerning T1 relaxometry, only a few studies relate T1 values in infancy, 13 neonates 15 and premature infants, 11,14 albeit it provides reliable quantitative measures and high contrast images. We were able not only to measure T1 relaxometry serially in premature brains but also to show a strong correlation between ADC and T1 values, enhancing its validity toward clinical use.…”

Section: Discussionmentioning

confidence: 99%

“…Several authors have described serial quantitative measures by using apparent diffusion coefficients and fractional anisotropy (FA) in various cohorts. [7][8][9][10][11] These sequences probe tissue microstructure and are used as markers of maturation, especially for axonal and dendritic organization and myelination. Recently, magnetizationprepared dual rapid acquisition of gradient echo (MP2RAGE) emerged as a new technique, which, by obtaining a purely T1-weighted image, allows the extraction of whole-brain T1 tissue relaxation time maps to provide quantitative tissue characterization.…”

mentioning

confidence: 99%

“…Moreover, there is a lack of quantitative T1 values for the assessment of brain development. 11,[13][14][15] In this serial imaging study in very preterm infants with cerebral low risk, we aimed to provide, for the first time, reference values for T1 relaxation time, and we hypothesized that their evolution is comparable with that of ADC and FA values, conferring greater and more precise information about tissue structure.…”

mentioning

confidence: 99%

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Evolution of T1 Relaxation, ADC, and Fractional Anisotropy during Early Brain Maturation: A Serial Imaging Study on Preterm Infants

Schneider¹,

Kober

Graz³

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:The alteration of brain maturation in preterm infants contributes to neurodevelopmental disabilities during childhood. Serial imaging allows understanding of the mechanisms leading to dysmaturation in the preterm brain. The purpose of the present study was to provide reference quantitative MR imaging measures across time in preterm infants, by using ADC, fractional anisotropy, and T1 maps obtained by using the magnetization-prepared dual rapid acquisition of gradient echo technique.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Evolution of T1 Relaxation, ADC, and Fractional Anisotropy during Early Brain Maturation: A Serial Imaging Study on Preterm Infants

Schneider¹,

Kober

Graz³

et al. 2015

AJNR Am J Neuroradiol

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Structural Growth Trajectories and Rates of Change in the First 3 Months of Infant Brain Development

et al. 2014

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IMPORTANCE The very early postnatal period witnesses extraordinary rates of growth, but structural brain development in this period has largely not been explored longitudinally. Such assessment may be key in detecting and treating the earliest signs of neurodevelopmental disorders.OBJECTIVE To assess structural growth trajectories and rates of change in the whole brain and regions of interest in infants during the first 3 months after birth. DESIGN, SETTING, AND PARTICIPANTS Serial structural T1-weighted and/or T2-weighted magnetic resonance images were obtained for 211 time points from 87 healthy term-born or term-equivalent preterm-born infants, aged 2 to 90 days, between October 5, 2007, and June 12, 2013. MAIN OUTCOMES AND MEASURESWe segmented whole-brain and multiple subcortical regions of interest using a novel application of Bayesian-based methods. We modeled growth and rate of growth trajectories nonparametrically and assessed left-right asymmetries and sexual dimorphisms.RESULTS Whole-brain volume at birth was approximately one-third of healthy elderly brain volume, and did not differ significantly between male and female infants (347 388 mm 3 and 335 509 mm 3 , respectively, P = .12). The growth rate was approximately 1%/d, slowing to 0.4%/d by the end of the first 3 months, when the brain reached just more than half of elderly adult brain volume. Overall growth in the first 90 days was 64%. There was a significant age-by-sex effect leading to widening separation in brain sizes with age between male and female infants (with male infants growing faster than females by 200.4 mm 3 /d, SE = 67.2, P = .003). Longer gestation was associated with larger brain size (2215 mm 3 /d, SE = 284, P = 4×10 −13 ). The expected brain size of an infant born one week earlier than average was 5% smaller than average; at 90 days it will not have caught up, being 2% smaller than average. The cerebellum grew at the highest rate, more than doubling in 90 days, and the hippocampus grew at the slowest rate, increasing by 47% in 90 days. There was left-right asymmetry in multiple regions of interest, particularly the lateral ventricles where the left was larger than the right by 462 mm 3 on average (approximately 5% of lateral ventricular volume at 2 months). We calculated volume-by-age percentile plots for assessing individual development. CONCLUSIONS AND RELEVANCENormative trajectories for early postnatal brain structural development can be determined from magnetic resonance imaging and could be used to improve the detection of deviant maturational patterns indicative of neurodevelopmental disorders.

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Near‐infrared light scattering and water diffusion in newborn brains

Iwata

Katayama

Tsuda

et al. 2022

Ann Clin Transl Neurol

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Objective MRI provides useful information regarding brain maturation and injury in newborn infants. However, MRI studies are generally restricted during acute phase, resulting in uncertainty around upstream clinical events responsible for subtle cerebral injuries. Time‐resolved near‐infrared spectroscopy non‐invasively provides the reduced scattering coefficient ( ), which theoretically reflects tissue structural complexity. This study aimed to test whether values of the newborn head reflected MRI findings. Methods Between June 2009 and January 2015, 77 hospitalised newborn infants (31.7 ± 3.8 weeks gestation) were assessed at 38.8 ± 1.3 weeks post‐conceptional age. Associations of values with MRI scores, mean diffusivity and fractional anisotropy were assessed. Results Univariable analysis showed that values were associated with gestational week ( p = 0.035; regression coefficient [ B ], 0.065; 95% confidence interval [CI], 0.005–0.125), fractional anisotropy in the cortical grey matter ( p = 0.020; B , −5.994; 95%CI, −11.032 to −0.957), average diffusivity in the cortical grey matter ( p < 0.001; B , −4.728; 95%CI, −7.063 to −2.394) and subcortical white matter ( p = 0.001; B , −2.071; 95%CI, −3.311 to −0.832), subarachnoid space ( p < 0.001; B , −0.289; 95%CI, −0.376 to −0.201) and absence of brain abnormality ( p = 0.042; B , −0.422; 95%CI, −0.829 to −0.015). The multivariable model to explain values comprised average diffusivity in the subcortical white matter ( p < 0.001; B , −2.066; 95%CI, −3.200 to −0.932), subarachnoid space ( p < 0.001; B , −0.314; 95%CI, −0.412 to −0.216) and absence of brain abnormality ( p = 0.021; B , −0.400; 95%CI, −0.739 to −0.061). Interpretation Light scattering was associated with brain structure indicated by MRI‐assessed brain abnormality and diffusion‐tensor‐imaging‐assessed water diffusivity. When serially assessed in a larger population, values might help identify covert clinical events responsible for subtle cerebral injury.

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Quantitative MRI in the very preterm brain: Assessing tissue organization and myelination using magnetization transfer, diffusion tensor and T1 imaging

Cited by 90 publications

References 65 publications

Evolution of T1 Relaxation, ADC, and Fractional Anisotropy during Early Brain Maturation: A Serial Imaging Study on Preterm Infants

Evolution of T1 Relaxation, ADC, and Fractional Anisotropy during Early Brain Maturation: A Serial Imaging Study on Preterm Infants

Structural Growth Trajectories and Rates of Change in the First 3 Months of Infant Brain Development

Near‐infrared light scattering and water diffusion in newborn brains

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