Evidence map›Paper›PMID 31473545›Full record

ArticleNeuroImage. Clinical2019

Advanced MRI analysis to detect white matter brain injury in growth restricted newborn lambs.

Atul Malhotra, Tara Sepehrizadeh, Thijs Dhollander, David Wright, Margie Castillo-Melendez, Amy E Sutherland, Yen Pham, Michael Ditchfield, Graeme R Polglase, Michael de Veer and 4 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Methodological comparison of fetal brainExperimental physiology · 2026
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  10. Anemia of prematurity: how low is too low?Journal of perinatology : official journal of the California Perinatal Association · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 1 country.

Atul MalhotraMonash Newborn, Monash Children's Hospital, Melbourne, Australia; Department of Paediatrics, Monash University, Melbourne, Australia; The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia. Electronic address: atul.malhotra@monash.edu.
Tara SepehrizadehMonash Biomedical Imaging, Monash University, Melbourne, Australia.
Thijs DhollanderThe Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; The Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia.
David WrightThe Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Department of Neuroscience, Central Clinical School, Monash University, Australia.
Margie Castillo-MelendezThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia; Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
Amy E SutherlandThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia.
Yen PhamThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia.
Michael DitchfieldDiagnostic Imaging, Monash Health, Melbourne, Australia.
Graeme R PolglaseThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia; Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
Michael de VeerMonash Biomedical Imaging, Monash University, Melbourne, Australia.
Graham JenkinThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia; Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
Kerstin PannekCommonwealth Scientific and Industrial Research Organisation, Brisbane, Australia.
Rosita ShishegarMonash Biomedical Imaging, Monash University, Melbourne, Australia; The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; CSIRO Health and Biosecurity, Parkville, Victoria, Australia.
Suzanne L MillerThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia; Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
Hudson Institute of Medical Research · AUMonash Health · AUMonash University · AUCommonwealth Scientific and Industrial Research Organisation · AUFlorey Institute of Neuroscience and Mental Health · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFetal growth restriction (FGR) is a serious pregnancy complication associated with increased risk of adverse neurodevelopment and neuromorbidity. Current imaging techniques, including conventional magnetic resonance imaging (MRI), are not sensitive enough to detect subtle structural abnormalities in the FGR brain. We examined whether advanced MRI analysis techniques have the capacity to detect brain injury (particularly white matter injury) caused by chronic hypoxia-induced fetal growth restriction in newborn preterm lambs.

methodsSurgery was undertaken in twin bearing pregnant ewes at 88-90 days gestation (term = 150 days) to induce FGR in one fetus. At 127 days gestation (~32 weeks human brain development), FGR and control (appropriate for gestational age, AGA) lambs were delivered by caesarean section, intubated and ventilated. Conventional and advanced brain imaging was conducted within the first two hours of life using a 3T MRI scanner. T1-weighted (T1w) and T2-weighted (T2w) structural imaging, magnetic resonance spectroscopy (MRS), and diffusion MRI (dMRI) data were acquired. Diffusion tensor imaging (DTI) modelling and analysis of dMRI data included the following regions of interest (ROIs): subcortical white matter, periventricular white matter, cerebellum, hippocampus, corpus callosum and thalamus. Fixel-based analysis of 3-tissue constrained spherical deconvolution (CSD) of the dMRI data was performed and compared between FGR and AGA lambs. Lambs were euthanised immediately after the scans and brain histology performed in the regions of interest to correlate with imaging.

resultsFGR and AGA lamb (body weight, mean (SD): 2.2(0.5) vs. 3.3(0.3) kg, p = .002) MRI brain scans were analysed. There were no statistically significant differences observed between the groups in conventional T1w, T2w or MRS brain data. Mean, axial and radial diffusivity, and fractional anisotropy indices obtained from DTI modelling also did not show any statistically significant differences between groups in the ROIs. Fixel-based analysis of 3-tissue CSD, however, did reveal a decrease in fibre cross-section (FC, p < .05) but not in fibre density (FD) or combined fibre density and cross-section (FDC) in FGR vs. AGA lamb brains. The specific tracts that showed a decrease in FC were in the regions of the periventricular white matter, hippocampus and cerebellar white matter, and were supported by histological evidence of white matter hypomyelination and disorganisation in corresponding FGR lamb brain regions.

conclusionsThe neuropathology associated with FGR in neonatal preterm lambs is subtle and imaging detection may require advanced MRI and tract-based analysis techniques. Fixel-based analysis of 3-tissue CSD demonstrates that the preterm neonatal FGR brain shows evidence of macrostructural (cross-sectional) deficits in white matter subsequent to altered antenatal development. These findings can inform analysis of similar brain pathology in neonatal infants.

Indexed as

AnimalsAnimals, NewbornBrain InjuriesDiffusion Tensor ImagingDisease Models, AnimalFetal Growth RetardationMagnetic Resonance ImagingNeuroimagingSheepWhite MatterFibreFixel-based analysisMyelinationStructureTractography

Identifiers

PMID31473545
PMCPMC6728876
OpenAlexW2969927898

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.