Evidence map›Paper›PMID 39048699›Full record

ArticleAnnals of biomedical engineering2024

Heterogeneous Mechanical Stress and Interstitial Fluid Flow Predictions Derived from DCE-MRI for Rat U251N Orthotopic Gliomas.

Julian A Rey, Katelynn G Spanick, Glauber Cabral, Isabel N Rivera-Santiago, Tavarekere N Nagaraja, Stephen L Brown, James R Ewing, Malisa Sarntinoranont

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Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Julian A ReyDepartment of Mechanical and Aerospace Engineering, University of Florida, 497 Wertheim, PO Box 116250, Gainesville, FL, 32611, USA.
Katelynn G SpanickDepartment of Neurology, Henry Ford Hospital, Detroit, MI, USA.
Glauber CabralDepartment of Neurology, Henry Ford Hospital, Detroit, MI, USA.
Isabel N Rivera-SantiagoDepartment of Mechanical and Aerospace Engineering, University of Florida, 497 Wertheim, PO Box 116250, Gainesville, FL, 32611, USA.
Tavarekere N NagarajaDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
Stephen L BrownDepartment of Radiology, Michigan State University, East Lansing, MI, USA.
James R EwingDepartment of Neurology, Henry Ford Hospital, Detroit, MI, USA.
Malisa SarntinoranontDepartment of Mechanical and Aerospace Engineering, University of Florida, 497 Wertheim, PO Box 116250, Gainesville, FL, 32611, USA. msarnt@ufl.edu.

Funding

MRI Signatures of Response to High-Dose Radiotherapy in Rat Models of Cerebral TumorR01CA218596 · NCI · HENRY FORD HEALTH SYSTEM · PI BROWN, STEPHEN L, EWING, JAMES R · 2018 to 2022
$2.4M
MRI Biomarkers of Response in Cerebral TumorsR01CA135329 · NCI · HENRY FORD HEALTH SYSTEM · PI EWING, JAMES R · 2009 to 2013
$1.5M
NCI NIH HHS R01 CA218596NIH HHS R01CA135329NIH HHS R01CA218596
6 · The paper itself

Abstract

Mechanical stress and fluid flow influence glioma cell phenotype in vitro, but measuring these quantities in vivo continues to be challenging. The purpose of this study was to predict these quantities in vivo, thus providing insight into glioma physiology and potential mechanical biomarkers that may improve glioma detection, diagnosis, and treatment. Image-based finite element models of human U251N orthotopic glioma in athymic rats were developed to predict structural stress and interstitial flow in and around each animal's tumor. In addition to accounting for structural stress caused by tumor growth, our approach has the advantage of capturing fluid pressure-induced structural stress, which was informed by in vivo interstitial fluid pressure (IFP) measurements. Because gliomas and the brain are soft, elevated IFP contributed substantially to tumor structural stress, even inverting this stress from compressive to tensile in the most compliant cases. The combination of tumor growth and elevated IFP resulted in a concentration of structural stress near the tumor boundary where it has the greatest potential to influence cell proliferation and invasion. MRI-derived anatomical geometries and tissue property distributions resulted in heterogeneous interstitial fluid flow with local maxima near cerebrospinal fluid spaces, which may promote tumor invasion and hinder drug delivery. In addition, predicted structural stress and interstitial flow varied markedly between irradiated and radiation-naïve animals. Our modeling suggests that relative to tumors in stiffer tissues, gliomas experience unusual mechanical conditions with potentially important biological (e.g., proliferation and invasion) and clinical consequences (e.g., drug delivery and treatment monitoring).

Indexed as

Brain NeoplasmsExtracellular FluidGliomaMagnetic Resonance ImagingRats, NudeStress, MechanicalAnimalsCell Line, TumorFinite Element AnalysisHumansModels, BiologicalRatsComputational modelDCE-MRIGlioblastomaPoroelasticityTissue mechanics

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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.