Evidence map›Paper›PMID 37735200›Full record

ArticleScientific reports2023

Abnormal neonatal brain microstructure in gestational diabetes mellitus revealed by MRI texture analysis.

Zhi Feng, Yurong Zheng, Ping Wang, Liang Xue, Mingling Yu, Zhitao Deng, Xiaoping Lei, Guangxiang Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Radiomics in fetal brain MRI: a narrative review.European radiology experimental · 2026
    Review
  3. Article
  4. Review
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

8 authors at 2 institutions in 1 country.

Zhi Feng *Department of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
Yurong Zheng *Department of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
Ping WangDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
Liang XueDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
Mingling YuDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
Zhitao DengDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China.
Xiaoping LeiDivision of Neonatology, Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China. leixiaoping2020@swmu.edu.cn.
Guangxiang ChenDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, No.23 Tai Ping Street, Luzhou, 646000, Sichuan, China. cgx23ly2002@163.com.
Affiliated Hospital of Southwest Medical University · CNSouthwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the value of MRI texture analysis in evaluating the effect of gestational diabetes mellitus (GDM) on neonatal brain microstructure development, we retrospectively collected images of neonates undergoing head MRI scans, including a GDM group (N1 = 37) and a healthy control group (N2 = 34). MaZda texture analysis software was used to extract the texture features from different sequence images and perform dimensionality reduction, and then the texture features selected by the lowest misjudgement rate method were imported into SPSS software for statistical analysis. In our study, we found that GDM affects the development of the microstructure of the neonatal brain, and different combinations of texture features have different recognition performances, such as different sequences and different brain regions. As a consequence, texture analysis combining multiple conventional MRI sequences has a high recognition performance in revealing the abnormal development of the brain microstructure of neonates born of mothers with GDM.

Indexed as

Diabetes, GestationalBrainFemaleHumansInfant, NewbornMagnetic Resonance ImagingPregnancyRecognition, PsychologyRetrospective Studies

Identifiers

PMID37735200
PMCPMC10514262
OpenAlexW4386927193

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.