Evidence map›Paper›PMID 40119791›Full record

ArticleNeuro-oncology2025

Characterizing long-term neurocognitive outcomes through diffusion tensor imaging in childhood brain tumor survivors.

Ryan T Oglesby, Chathurangi H Pathiravasan, Elizabeth Olatunji, Leslie Chang, Jill Chotiyanonta, Yuto Uchida, Junghoon Lee, Kenichi Oishi, Rachel K Peterson, Sahaja Acharya

Erratum issuedAbstract read
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Ryan T OglesbyRadiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, Maryland.
Chathurangi H PathiravasanDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Elizabeth OlatunjiRadiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, Maryland.
Leslie ChangRadiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, Maryland.ORCID 0000-0001-5963-054X
Jill ChotiyanontaRadiology and Radiological Science, Johns Hopkins Medicine, Baltimore, Maryland.
Yuto UchidaRadiology and Radiological Science, Johns Hopkins Medicine, Baltimore, Maryland.
Junghoon LeeRadiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, Maryland.
Kenichi OishiDepartment of Neurology, Johns Hopkins Medicine, Baltimore, Maryland.
Rachel K PetersonPsychiatry and Behavioral Sciences, Johns Hopkins Medicine Baltimore, Maryland.
Sahaja AcharyaRadiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, Maryland.

Funding

Precision Medicine for Neonatal Hypoxic-Ischemic Encephalopathy: Combined Neuroimaging Clinical Approach to Link Phenotypes to PrognosisR01NS126549 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Kenichi Oishi · 2022 to 2026
$2.0M
NIH HHS R01NS126549United States Department of Defense CA220820
6 · The paper itself

Abstract

backgroundDiffusion tensor imaging (DTI) can probe the longitudinal microstructural integrity and development of the brain. This study characterizes the relationship between long-term neurocognition and changes in fractional anisotropy (FA) and mean diffusivity (MD) of the corpus callosum and hippocampus in childhood brain tumor survivors.

methodsPatients diagnosed with a brain tumor at <18 years of age with ≥2 neurocognitive assessments retrospectively paired with DTI were eligible. Multitrajectory modeling clustered patients into distinct neurocognitive trajectories based on intelligent quotient, Processing Speed Index and working memory. Linear mixed models were used to determine whether patient clusters were associated with change in MD and FA. Patient clusters were compared to healthy subjects.

resultsFrom 2014 to 2022, 68 patients with 464 neurocognitive assessments paired with DTI and 80 healthy subjects were included. Multitrajectory modeling identified two patient clusters: (1) low-performance, with declining scores below the normative mean, and (2) normal performance. Compared to the low-performance group, the normal-performance group demonstrated greater increase in FA and greater decrease in MD within the corpus callosum and hippocampus, respectively. This pattern was consistent across multiple white matter tracts, highlighting global differences between the groups. Directional change of FA and MD observed in healthy subjects mirrored that of the normal-performance group, but was opposite to that of the low-performance group.

conclusionCompared to the normal-performance group, the low-performance group demonstrated reduced white matter microstructural integrity and higher mean diffusivity in the hippocampus over time, opposite to what is observed in normally developing children. This suggests aberrant neurodevelopment may contribute to late-neurocognitive impairment.

Indexed as

Brain NeoplasmsCancer SurvivorsDiffusion Tensor ImagingAdolescentAnisotropyChildChild, PreschoolCorpus CallosumFemaleFollow-Up StudiesHumansMaleNeuropsychological TestsPrognosisRetrospective Studiesbrain tumordiffusion tensor imagingneurocognitive impairment

Identifiers

PMID40119791
PMCPMC12448841

What OpenQuestion holds

Textmetadata
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.