Evidence map›Paper›PMID 37341193›Full record

ArticleRadiology and oncology2023

ADC values as a biomarker of fetal brain maturation.

Lucija Kobal, Katarina Surlan Popovic, Jernej Avsenik, Tina Vipotnik Vesnaver

Open access · goldAbstract read
In one paragraph

Article in Radiology and oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 89% 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

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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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Lucija KobalFaculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Katarina Surlan PopovicClinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Jernej AvsenikClinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Tina Vipotnik VesnaverClinical Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Ljubljana University Medical Centre · SIUniversity of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the period of fetal development, myelination plays a key role and follows specific time and spatial sequences. The water content in the brain is inversely proportional to myelination - the more myelinated the brain, the lower the water content in it. The diffusion of water molecules can be quantitatively assessed using the apparent diffusion coefficient (ADC). We were interested in whether, by determining the ADC values, we could quantitatively evaluate the development of the fetal brain. PATIENTS AND

methodsThe study included 42 fetuses with gestational age 25 to 35 weeks. We manually selected 13 regions on diffusion-weighted images. Statistically significant differences between ADC values were checked using one-way analysis of variance and Tukey's post hoc test. The relationship between the ADC values and the gestational age of the fetuses was then assessed using linear regression.

resultsThe average gestational age of the fetuses was 29.8 ± 2.4 weeks. ADC values in the thalami, pons and cerebellum differed significantly among each other and from the ADC values in other brain regions. In the thalami, pons and cerebellum, linear regression showed a significant decrease in ADC values with increasing gestational age.

conclusionsADC values change with the increasing gestational age of the fetus and differ among different brain regions. In the pons, cerebellum and thalami, the ADC coefficient could be used as a biomarker of fetal brain maturation since ADC values decrease linearly with increasing gestational age.

Indexed as

BrainFetusBiomarkersFetal DevelopmentHumansInfantWaterBiomarkersWaterADCbiomarkerdiffusiondiffusion-weighted imagingfetal brain maturationmyelination

Identifiers

PMID37341193
PMCPMC10286892
OpenAlexW4381470730

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.