Evidence map›Paper›PMID 42009789›Full record

ArticleScientific reports2026

Age-related development of meningeal lymphatic vessels in children assessed by 3D T2 FLAIR MRI.

JianBin Ying, YanYing Rao, XuanJie Chen, Fan Chen, TaoTao Zhang, Jun Li, Shousen Wang, Jinrun Lin, YuYan He, JiaRong Chen and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

JianBin Ying *Department of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
YanYing Rao *Department of Radiology, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
XuanJie Chen *Department of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
Fan ChenDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
TaoTao ZhangDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
Jun LiDepartment of Neurosurgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Shousen WangDepartment of Neurosurgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Jinrun LinDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
YuYan HeDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
JiaRong ChenDepartment of Radiology, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
LiPing ZengDepartment of Radiology, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
XiaoYan WuDepartment of Radiology, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
Yu LiuDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
QingShuang ZhaoDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China.
JunJie JingDepartment of Neurosurgery, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, Fujian, China. jingjunjie@fjsetyy.com.

Funding

Fujian Children's Hospital Talent Excellence Training Programme YCXZ202205Fujian Provincial Health Commission Youth Scientific Research Project 2023QNA063
6 · The paper itself

Abstract

Meningeal lymphatic vessels (mLVs) are closely associated with the development of numerous neurological diseases. While age has been identified as a crucial factor that influences the meningeal lymphatics, their developmental characteristics in children of different ages remain unknown. Therefore, the aim of this study was to analyze the signal intensities and thicknesses of mLVs from three-dimensional T2-fluid-attenuated inversion recovery magnetic resonance imaging (3D T2-FLAIR MRI) sequences in children of different ages in order to ascertain their developmental characteristics. Data were retrospectively collected from 90 children (45 males and 45 females) who underwent MRI for suspected epilepsy between September 2022 and September 2023. The signal intensities and thicknesses of dorsal and ventral mLVs were measured from 3D T2-FLAIR MRI sequences. Participants were subsequently assigned to groups based on age or sex for intergroup comparisons to assess the development of mLVs in children of different ages and to determine whether any changes were sex-specific. This study included 90 children (45 males and 45 females) who met the inclusion criteria. The median age was 4 years (range: 4 months to 12 years).The result shows that the SI and thicknessof the dorsal mLVs in children increased with age and were significantly different (P<0.001). A similar trend was observed for the SI and thickness of the ventral mLVs. The ratio of dorsal to ventral mLVs exhibited statistically significant decreasing trends with respect to age (P < 0.001), as did the SI and thickness. Further analysis revealed statistically significant correlations between the age of the patients and the thickness and SI of both ventraland overall mLVs. There was no statistically significant difference in the SI (P = 0.262) or thickness (P = 0.805) of the mLVs between sexes. Analysis of the 3D T2-FLAIR MRI sequences revealed that the thickness and SI of the mLVs increased over time in children and was significantly correlated with age. Moreover, the ventral mLVs exhibited significantly greater growth compared to that of the dorsal mLVs. There were no differences in the mLV measurements between males and females.

Indexed as

Lymphatic VesselsMagnetic Resonance ImagingMeningesAge FactorsChildChild, PreschoolFemaleHumansImaging, Three-DimensionalInfantMaleRetrospective Studiesage-relatedchildrenmagnetic resonance imagingmeningeal lymphatic vessels

Identifiers

PMID42009789
PMCPMC13365204

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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.