Dataset Information

Eye growth in term- and preterm-born eyes modeled from magnetic resonance images.

ABSTRACT: We generated a model of eye growth and tested it against an eye known to develop abnormally, one with a history of retinopathy of prematurity (ROP).We reviewed extant magnetic resonance images (MRIs) from term and preterm-born patients for suitable images (n = 129). We binned subjects for analysis based upon postmenstrual age at birth (in weeks) and ROP history ("Term" ? 37, "Premature" ? 32 with no ROP, "ROP" ? 32 with ROP). We measured the axial positions and curvatures of the cornea, anterior and posterior lens, and inner retinal surface. We fit anterior chamber depth (ACD), posterior segment depth (PSD), axial length (AL), and corneal and lenticular curvatures with logistic growth curves that we then evaluated for significant differences. We also measured the length of rays from the centroid to the surface of the eye at 5° intervals, and described the length versus age relationship of each ray, L(ray)(x), using the same logistic growth curve. We determined the rate of ray elongation, E(ray)(x), from L(ray)dy/dx. Then, we estimated the scleral growth that accounted for E(ray)(x), G(x), at every age and position.Relative to Term, development of ACD, PSD, AL, and corneal and lenticular curvatures was delayed in ROP eyes, but not Premature eyes. In Term infants, G(x) was fast and predominantly equatorial; in age-matched ROP eyes, maximal G(x) was offset by approximately 90°.We produced a model of normal eye growth in term-born subjects. Relative to normal, the ROP eye is characterized by delayed, abnormal growth.

SUBMITTER: Munro RJ

PROVIDER: S-EPMC5963310 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Eye growth in term- and preterm-born eyes modeled from magnetic resonance images.

Munro Robert J RJ Fulton Anne B AB Chui Toco Y P TY Moskowitz Anne A Ramamirtham Ramkumar R Hansen Ronald M RM Prabhu Sanjay P SP Akula James D JD

Investigative ophthalmology & visual science 20150501 5

<h4>Purpose</h4>We generated a model of eye growth and tested it against an eye known to develop abnormally, one with a history of retinopathy of prematurity (ROP).<h4>Methods</h4>We reviewed extant magnetic resonance images (MRIs) from term and preterm-born patients for suitable images (n = 129). We binned subjects for analysis based upon postmenstrual age at birth (in weeks) and ROP history ("Term" ≥ 37, "Premature" ≤ 32 with no ROP, "ROP" ≤ 32 with ROP). We measured the axial positions and cu ...[more]

PMID: 26024095

Similar Datasets

Project description:Early life experiences can exert a significant influence on cortical and cognitive development. Very preterm birth exposes infants to several adverse environmental factors during hospital admission, which affect cortical architecture. However, the subsequent consequence of very preterm birth on cortical growth from infancy to adolescence has never been defined; despite knowledge of critical periods during childhood for establishment of cortical networks. Our aims were to: chart typical longitudinal cortical development and sex differences in cortical development from birth to adolescence in healthy term-born children; estimate differences in cortical development between children born at term and very preterm; and estimate differences in cortical development between children with normal and impaired cognition in adolescence. This longitudinal cohort study included children born at term (≥37 weeks' gestation) and very preterm (<30 weeks' gestation) with MRI scans at ages 0, 7 and 13 years (n = 66 term-born participants comprising 34 with one scan, 18 with two scans and 14 with three scans; n = 201 very preterm participants comprising 56 with one scan, 88 with two scans and 57 with three scans). Cognitive assessments were performed at age 13 years. Cortical surface reconstruction and parcellation were performed with state-of-the-art, equivalent MRI analysis pipelines for all time points, resulting in longitudinal cortical volume, surface area and thickness measurements for 62 cortical regions. Developmental trajectories for each region were modelled in term-born children, contrasted between children born at term and very preterm, and contrasted between all children with normal and impaired cognition. In typically developing term-born children, we documented anticipated patterns of rapidly increasing cortical volume, area and thickness in early childhood, followed by more subtle changes in later childhood, with smaller cortical size in females than males. In contrast, children born very preterm exhibited increasingly reduced cortical volumes, relative to term-born children, particularly during ages 0-7 years in temporal cortical regions. This reduction in cortical volume in children born very preterm was largely driven by increasingly reduced cortical thickness rather than area. This resulted in amplified cortical volume and thickness reductions by age 13 years in individuals born very preterm. Alterations in cortical thickness development were found in children with impaired language and memory. This study shows that the neurobiological impact of very preterm birth on cortical growth is amplified from infancy to adolescence. These data further inform the long-lasting impact on cortical development from very preterm birth, providing broader insights into neurodevelopmental consequences of early life experiences.

Project description:BackgroundDietary DHA intake among US toddlers is low. Healthy physical growth is an important objective for the clinical care of children born preterm.ObjectivesThe aim of the trial was to examine the effects of supplementing toddlers born preterm with DHA and arachidonic acid (AA) for 180 d on growth and adiposity.MethodsOmega Tots, a randomized placebo-controlled trial, was conducted between April 2012 and March 2017. Children born at <35 wk gestation who were 10-16 mo in corrected age were assigned to receive daily oral supplements of DHA and AA (200 mg each, "DHA + AA") or corn oil (placebo) for 180 d. Prespecified secondary outcomes included weight, length, head circumference, mid-upper arm circumference, triceps and subscapular skinfolds, BMI, and their respective z scores, and body fat percentage, which were measured at baseline and trial completion. Mixed-effects regression was used to compare the change in outcomes between the DHA + AA and placebo groups, controlling for baseline values.ResultsAmong 377 children included in the analysis (median corrected age = 15.7 mo, 48.3% female), 348 (92.3%) had growth or adiposity data at baseline and trial end. No statistically significant differences between the DHA + AA and placebo groups in growth or adiposity outcomes were observed. For instance, the change in weight-for-age z scores was 0.1 for the DHA + AA group and 0.0 for the placebo group (effect size = 0.01, P = 0.99). However, post-hoc subgroup analyses revealed a statistically significant interaction between treatment group and sex, suggesting somewhat slower linear growth for females assigned to the DHA + AA group compared with the placebo group.ConclusionsAmong toddlers born preterm, daily supplementation with DHA + AA for 180 d resulted in no short-term differences in growth or adiposity compared with placebo. If DHA supplementation is implemented after the first year of life, it can be expected to have no effect on short-term growth or adiposity. This trial is registered with clinicaltrials.gov as NCT02199808.

Project description:Quantitative analysis of craniofacial morphology is of interest to scholars working in a wide variety of disciplines, such as anthropology, developmental biology, and medicine. T1-weighted (anatomical) magnetic resonance images (MRI) provide excellent contrast between soft tissues. Given its three-dimensional nature, MRI represents an ideal imaging modality for the analysis of craniofacial structure in living individuals. Here we describe how T1-weighted MR images, acquired to examine brain anatomy, can also be used to analyze facial features. Using a sample of typically developing adolescents from the Saguenay Youth Study (N?=?597; 292 male, 305 female, ages: 12 to 18 years), we quantified inter-individual variations in craniofacial structure in two ways. First, we adapted existing nonlinear registration-based morphological techniques to generate iteratively a group-wise population average of craniofacial features. The nonlinear transformations were used to map the craniofacial structure of each individual to the population average. Using voxel-wise measures of expansion and contraction, we then examined the effects of sex and age on inter-individual variations in facial features. Second, we employed a landmark-based approach to quantify variations in face surfaces. This approach involves: (a) placing 56 landmarks (forehead, nose, lips, jaw-line, cheekbones, and eyes) on a surface representation of the MRI-based group average; (b) warping the landmarks to the individual faces using the inverse nonlinear transformation estimated for each person; and (3) using a principal components analysis (PCA) of the warped landmarks to identify facial features (i.e. clusters of landmarks) that vary in our sample in a correlated fashion. As with the voxel-wise analysis of the deformation fields, we examined the effects of sex and age on the PCA-derived spatial relationships between facial features. Both methods demonstrated significant sexual dimorphism in craniofacial structure in areas such as the chin, mandible, lips, and nose.

Dataset Information

Eye growth in term- and preterm-born eyes modeled from magnetic resonance images.

Publications

Eye growth in term- and preterm-born eyes modeled from magnetic resonance images.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets