Evidence map›Paper›PMID 29434275›Full record

ArticleScientific reports2018

Quantification of glioblastoma mass effect by lateral ventricle displacement.

Tyler C Steed, Jeffrey M Treiber, Michael G Brandel, Kunal S Patel, Anders M Dale, Bob S Carter, Clark C Chen

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Ensemble Inversion for Brain Tumor Growth Models With Mass Effect.IEEE transactions on medical imaging · 2023
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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

7 authors.

Tyler C SteedDepartment of Neurosurgery, Emory University, Atlanta, GA, USA.
Jeffrey M TreiberDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
Michael G BrandelDepartment of Neurosurgery, University of California San Diego, La Jolla, CA, USA.
Kunal S PatelDepartment of Neurosurgery, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
Anders M DaleMultimodal Imaging Laboratory, University of California San Diego, La Jolla, CA, USA.
Bob S CarterDepartment of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
Clark C ChenDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, USA. ccchen@umn.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
Targeting Mechanisms of Acquired Temozolomide Resistance in GlioblastomaR01NS097649 · NINDS · UNIVERSITY OF MINNESOTA · PI CHEN, CLARK CHIN-CHUNG · 2016 to 2021
$1.7M
NIGMS NIH HHS T32 GM007198NINDS NIH HHS R01 NS097649
6 · The paper itself

Abstract

Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacement from the center of mass of the lateral ventricle volume in glioblastoma patients relative to that a normal reference brain. Pre-operative MR images from 214 glioblastoma patients from The Cancer Imaging Archive (TCIA) were segmented using iterative probabilistic voxel labeling (IPVL). LVd, contrast enhancing volumes (CEV) and FLAIR hyper-intensity volumes (FHV) were determined. Associations with patient survival and tumor genomics were investigated using data from The Cancer Genome Atlas (TCGA). Glioblastoma patients had significantly higher LVd relative to patients without brain tumors. The variance of LVd was not explained by tumor volume, as defined by CEV or FLAIR. LVd was robustly associated with glioblastoma survival in Cox models which accounted for both age and Karnofsky's Performance Scale (KPS) (p = 0.006). Glioblastomas with higher LVd demonstrated increased expression of genes associated with tumor proliferation and decreased expression of genes associated with tumor invasion. Our results suggest LVd is a quantitative measure of glioblastoma mass effect and a prognostic imaging biomarker.

Indexed as

AdultAgedBrainBrain NeoplasmsCohort StudiesFemaleGlioblastomaHeart VentriclesHumansImage Processing, Computer-AssistedLateral VentriclesMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingPrognosis

Identifiers

PMID29434275
PMCPMC5809591

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Registered trials

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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.