Evidence map›Paper›PMID 37152811›Full record

ArticleNeuro-oncology advances

Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survival.

Bidhan Lamichhane, Patrick H Luckett, Donna Dierker, Ki Yun Park, Harold Burton, Michael Olufawo, Gabriel Trevino, John J Lee, Andy G S Daniel, Carl D Hacker and 3 more

Abstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

13 authors.

Bidhan LamichhaneDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Patrick H LuckettDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Donna DierkerMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Ki Yun ParkDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Harold BurtonDepartment of Neuroscience, Washington University School of Medicine, St. Louis, Missouri, USA.
Michael OlufawoDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Gabriel TrevinoDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
John J LeeMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Andy G S DanielDepartment of Biomedical Engineering, Washington University in Saint Louis, St. Louis, Missouri, USA.
Carl D HackerDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Daniel S MarcusMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Eric C LeuthardtDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.

Funding

Augmented Neurosurgical Navigation Software Using Resting State MRIR01CA203861 · NCI · WASHINGTON UNIVERSITY · PI Eric CLAUDE Leuthardt, JOSHUA S SHIMONY · 2017 to 2026
$5.8M
NCI NIH HHS R01 CA203861
6 · The paper itself

Abstract

Background: Patients with glioblastoma (GBM) and high-grade glioma (HGG, World Health Organization [WHO] grade IV glioma) have a poor prognosis. Consequently, there is an unmet clinical need for accessible and noninvasively acquired predictive biomarkers of overall survival in patients. This study evaluated morphological changes in the brain separated from the tumor invasion site (ie, contralateral hemisphere). Specifically, we examined the prognostic value of widespread alterations of cortical thickness (CT) in GBM/HGG patients. Methods: We used FreeSurfer, applied with high-resolution T1-weighted MRI, to examine CT, evaluated prior to standard treatment with surgery and chemoradiation in patients (GBM/HGG, Results: Compared to HC cases, patients had thinner gray matter in the contralesional hemisphere at the time of tumor diagnosis. patients had significant cortical thinning in parietal, temporal, and occipital lobes. Fourteen cortical parcels showed reduced CT, whereas in 5, it was thicker in patients' cases. Notably, CT in the contralesional hemisphere, various lobes, and parcels was predictive of overall survival. A machine learning classification algorithm showed that CT could differentiate short- and long-term survival patients with an accuracy of 83.3%. Conclusions: These findings identify previously unnoticed structural changes in the cortex located in the hemisphere contralateral to the primary tumor mass. Observed changes in CT may have prognostic value, which could influence care and treatment planning for individual patients.

Indexed as

biomarker of GBM and HGGbrain tumorcortical thicknessglioblastoma and high-grade gliomaoverall survival

Identifiers

PMID37152811
PMCPMC10162111

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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.