Evidence map›Paper›PMID 41437220›Full record

ArticleBMC medical imaging2025

Neuroimaging patterns of brain injury in children following near-drowning.

Livja Mertiri, Maarten Lequin, Stephen F Kralik, Nilesh K Desai, Thierry A G M Huisman

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. 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

5 authors.

Livja MertiriEdward B. Singleton Department of Radiology, Texas Children's Hospital, Baylor College of Medicine, 6701 Fannin Street, Suite 470, Houston, TX, 77030, USA. lxmertir@texaschildrens.org.
Maarten LequinEdward B. Singleton Department of Radiology, Texas Children's Hospital, Baylor College of Medicine, 6701 Fannin Street, Suite 470, Houston, TX, 77030, USA.
Stephen F KralikEdward B. Singleton Department of Radiology, Texas Children's Hospital, Baylor College of Medicine, 6701 Fannin Street, Suite 470, Houston, TX, 77030, USA.
Nilesh K DesaiEdward B. Singleton Department of Radiology, Texas Children's Hospital, Baylor College of Medicine, 6701 Fannin Street, Suite 470, Houston, TX, 77030, USA.
Thierry A G M HuismanEdward B. Singleton Department of Radiology, Texas Children's Hospital, Baylor College of Medicine, 6701 Fannin Street, Suite 470, Houston, TX, 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNear-drowning is a prevalent cause of hypoxic ischemic injury in children and young adults. Despite its clinical significance, there is a lack of studies examining the brain magnetic resonance imaging (MRI) findings associated with near-drowning incidents. PURPOSE: The aim of this study is to identify patterns of imaging findings on brain MRI scans of children who have experienced near-drowning.

methodsThis retrospective study included children who experienced near-drowning incidents and had brain MRI scans available for review between November 2000 and September 2023. Abnormal MRI findings were categorized into three patterns: (1) gray matter injury, (2) white matter injury, and (3) combined gray matter and white matter injury. For each category, we distinguished those with MRI scans obtained in the acute setting and those with MRI studies performed in the non-acute setting. When available in the electronic medical records (EMR), collected parameters for patients with acute MRI scans included: sex, age, best estimate of the water temperature, water type, duration of submersion, and whether cardio pulmonary resuscitation (CPR) was performed.

resultsThe study included 50 patients (32 males, 18 females) with a median age of 32.9 (interquartile range, 19.9-69.2) months. Of these patients, 28 had acute MRI scans available, while 22 had only non-acute MR imaging. Among the 28 patients with acute MRI, 12 (42%) had primarily cortical and/or deep gray matter injury without visible white matter injury, 8 (29%) had both cortical and/or deep gray and white matter injury, and 8 (29%) were normal. The median age was 26.7 (interquartile range, 16.6-43.6) months in the acute MRI group and 42.9 (interquartile range, 27-130.3) months in the non-acute MRI group. Water temperature information was available in 25/50 cases, all occurring in warm water (9 in a bathtub and 16 in a pool). In patients with isolated gray matter injury, the submersion duration was < 3 min in 7/12 patients, while 5/12 did not have data on submersion duration. CPR was performed in 8 patients, with data unavailable for 4 cases. In patients with gray and white matter injury, submersion duration was < 3 min in 1/8 cases, with data not available for 7 patients. CPR was performed in 5 patients, with data unavailable for 3 cases. In patients with normal findings the submersion duration was < 3 min in 2/8 patients, and CPR was performed in all 8 patients.

conclusionOur study suggests that children who suffer near-drowning are likely to have gray matter injury on MRI obtained within the first 7 days after injury. In contrast, delayed white matter lesions, may develop weeks after the initial hypoxic-ischemic event and may be observed in chronic imaging either alone or in combination with gray matter lesions. These imaging patterns appear to resemble those described in neonatal hypoxic-ischemic injuries, although further studies are needed to confirm these associations.

Indexed as

Brain InjuriesMagnetic Resonance ImagingNear DrowningNeuroimagingAdolescentBrainChildChild, PreschoolFemaleGray MatterHumansInfantMaleRetrospective StudiesWhite MatterChildrenHypoxic ischemic injuryMRINear drowning

Identifiers

PMID41437220
PMCPMC12729136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.