Evidence map›Paper›PMID 40500243›Full record

ArticlePrenatal diagnosis2025

Diffusion Tensor Imaging of Fetuses With Congenital Diaphragmatic Hernia.

Usha D Nagaraj, Jonathan A Dudley, Kristin Lam, Beth M Kline-Fath, Stephanie L Merhar, Francesco T Mangano, Weihong Yuan

Abstract read
In one paragraph

Article in Prenatal diagnosis, 2025. 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
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.

  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

7 authors.

Usha D NagarajDepartment of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0001-8251-7481
Jonathan A DudleyCincinnati Children's Hospital-Imaging Research Center, Cincinnati, Ohio, USA.
Kristin LamDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Beth M Kline-FathDepartment of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0003-3872-9027
Stephanie L MerharUniversity of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Francesco T ManganoUniversity of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Weihong YuanUniversity of Cincinnati College of Medicine, Cincinnati, Ohio, USA.

Funding

Cincinnati Childrens Department of Radiology Pilot Fund
6 · The paper itself

Abstract

objectiveTo evaluate differences in diffusion tensor imaging (DTI) parameters in the brain between fetuses with congenital diaphragmatic hernia (CDH) and age-matched controls.

methodThis retrospective IRB-approved study included fetal MRIs for CDH and gestational age (GA) matched controls with lung pathology other than CDH with normal fetal brains. Fetal DTI data were acquired in 15 noncollinear diffusion-weighting directions with the b-value at 600 s/mm

resultsTwenty-eight controls (27.3 ± 4.1 weeks GA) and 26 CDH (28.1 ± 4.2 weeks GA) fetuses were included. Fractional anisotropy (FA) values were significantly higher (p < 0.05) in CDH fetuses relative to controls in 12 of 50 white matter (WM) regions examined based on ANCOVA controlling for GA. After controlling for GA, sex, and CDH side, FA values in the CDH fetuses had a significant positive correlation with observed-to-expected lung volumes in 20 of 50 WM regions and with percent predicted lung volumes in 29 of 50 WM regions.

conclusionOur data demonstrate evidence of microstructural differences based on DTI indices in the brain between CDH fetuses and age-matched controls along with correlation with the degree of pulmonary hypoplasia.

Indexed as

BrainDiffusion Tensor ImagingHernias, Diaphragmatic, CongenitalAdultAnisotropyCase-Control StudiesFemaleFetusGestational AgeHumansLungMalePregnancyPrenatal DiagnosisRetrospective Studiescongenital diaphragmatic herniadiffusion tensor imagingfetal MRI

Identifiers

PMID40500243
PMCPMC12254437

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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.