Evidence map›Paper›PMID 41727569›Full record

ArticleResearch square2026

Correlation Between Neuroimaging and Neuropathologic Findings in Pediatric ECMO Patients.

Margherita Tabet, Bill Zhang, Chasity Custer, Michael Craig Morriss, Sumit Singh, Aliya Abioye, Ethan Sanford, Lakshmi Raman, Veena Rajaram, David R Busch

Abstract readPreprint
In one paragraph

Article in Research square, 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Margherita TabetThe University of Texas Southwestern Medical Center.ORCID https://orcid.org/0000-0003-0595-8480
Bill ZhangThe University of Texas Southwestern Medical Center.
Chasity CusterThe University of Texas Southwestern Medical Center.
Michael Craig MorrissThe University of Texas Southwestern Medical Center.
Sumit SinghThe University of Texas Southwestern Medical Center.
Aliya AbioyeThe University of Texas Southwestern Medical Center.
Ethan SanfordThe University of Texas Southwestern Medical Center.
Lakshmi RamanThe University of Texas Southwestern Medical Center.
Veena RajaramThe University of Texas Southwestern Medical Center.
David R BuschThe University of Texas Southwestern Medical Center.

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
Development of quantitative optical tools to continuously monitor cerebral autoregulation, blood flow, oxygenation and inflammation during pediatric extracorporeal life supportR01NS122119 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI David Richard Busch · 2022 to 2026
$3.2M
Predicting ECMO NeuroLogICal Injuries using mAchiNe Learning (PELICAN)R01NS133142 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI Lakshmi Raman · 2023 to 2026
$2.1M
NCATS NIH HHS UL1 TR003163NINDS NIH HHS R01 NS122119NINDS NIH HHS R01 NS133142
6 · The paper itself

Abstract

Objective: Neurologic complications are a leading cause of morbidity and mortality in children supported with extracorporeal membrane oxygenation (ECMO). Antemortem neuroimaging is limited, while postmortem neuropathology provides definitive but rarely available assessment. Correlating imaging with pathology may improve diagnostic accuracy and monitoring strategies. Design: We performed a retrospective, single-center cohort study of neonates and children (0-18 years) supported with ECMO (2009-2024) who underwent cerebral autopsy. Standardized neuropathologic sampling across six brain regions classified injuries as mild, moderate, or severe. Antemortem imaging (CT or head ultrasound [HUS]) within seven days of death was reviewed by a blinded neuroradiologist and scored using a Neurologic Injury Severity (NIS) framework. Imaging-pathology correlation was assessed in subjects with both datasets. Measurements and Main Results: Fifty-four patients underwent neuropathologic evaluation; 26 had qualifying neuroimaging. Neuropathology revealed frequent ischemic and hemorrhagic injuries, most commonly in the frontal lobes, deep grey matter, and temporal lobes. Severe injury was more frequent in venoarterial ECMO and in infants/toddlers. NIS scores strongly correlated with global and regional histopathologic severity, particularly in frontal, temporal, and deep grey regions. Discordance was observed in parieto-occipital, pontine, and cerebellar regions, where immunohistochemistry (GFAP, CD68) detected subtle injuries not visible on H&E. Severe pathology consistently corresponded to NIS ≥10, while mild pathology aligned with low scores and limited involvement. Conclusions: Structured imaging severity scoring, especially with CT, correlates strongly with neuropathology in pediatric ECMO decedents. Findings support NIS scoring as a surrogate for underlying pathology, while underscoring the need for refined histologic methods and adjunctive neuromonitoring to optimize neurologic surveillance.

Indexed as

Brain InjuriesCritical CareExtracorporeal Membrane OxygenationNeurodiagnostic TechniquesNeuroimagingNeuropathologyPediatrics

Identifiers

PMID41727569
PMCPMC12919206

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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.