Evidence map›Paper›PMID 39434924›Full record

ArticleNeuro-oncology advances

Tumor volume features predict survival outcomes for patients diagnosed with diffuse intrinsic pontine glioma.

D'Andre Spencer, Erin R Bonner, Carlos Tor-Díez, Xinyang Liu, Kristen Bougher, Rachna Prasad, Heather Gordish-Dressman, Augustine Eze, Roger J Packer, Javad Nazarian and 2 more

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Article in Neuro-oncology advances. 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

12 authors.

D'Andre SpencerCenter for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA.
Erin R BonnerCenter for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA.
Carlos Tor-DíezSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, District of Columbia, USA.
Xinyang LiuSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, District of Columbia, USA.ORCID https://orcid.org/0000-0002-2474-7622
Kristen BougherSchool of Medicine and Health Sciences, The George Washington University, Washington, District of Columbia, USA.
Rachna PrasadDepartment of Oncology, University Children's Hospital Zürich, Zürich, Switzerland.
Heather Gordish-DressmanDepartment of Biostatistics, Children's National Hospital, Washington, District of Columbia, USA.
Augustine EzeCenter for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA.
Roger J PackerBrain Tumor Institute, Children's National Hospital, Washington, District of Columbia, USA.
Javad NazarianBrain Tumor Institute, Children's National Hospital, Washington, District of Columbia, USA.
Marius George LinguraruSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, District of Columbia, USA.
Miriam BornhorstStanley Manne Children's Research Institute at Lurie Children's, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-7595-7726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diffuse intrinsic pontine glioma (DIPG) is a fatal childhood central nervous system tumor. Diagnosis and monitoring of tumor response to therapy is based on magnetic resonance imaging (MRI). MRI-based analyses of tumor volume and appearance may aid in the prediction of patient overall survival (OS). Methods: Contrast-enhanced T1- and FLAIR/T2-weighted MR images were retrospectively collected from children with classical DIPG diagnosed by imaging ( Results: Features associated with poor OS outcome included the presence of contrast-enhancing tumor at diagnosis, >15% T Conclusions: This study demonstrates that tumor imaging features at diagnosis and within 4 months of RT can predict differential OS outcomes in DIPG. These findings provide a framework for incorporating tumor volume-based predictive analyses into the clinical setting, with the potential for treatment customization based on tumor risk characteristics and future applications of machine-learning-based analysis.

Indexed as

diffuse intrinsic pontine gliomaMRIsurvival outcomesSVM learningtumor volume

Identifiers

PMID39434924
PMCPMC11492488

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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.