Evidence map›Paper›PMID 30318760›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

Longitudinal evaluation of tumor microenvironment in rat focal brainstem glioma using diffusion and perfusion MRI.

Kulam Najmudeen Magdoom, Francisco Delgado, Ana C Bohórquez, Alec C Brown, Paul R Carney, Carlos Rinaldi, Thomas H Mareci, James R Ewing, Malisa Sarntinoranont

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 83% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 3 institutions in 1 country.

Kulam Najmudeen MagdoomDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida, USA.
Francisco DelgadoJ. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, Florida, USA.
Ana C BohórquezJ. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, Florida, USA.
Alec C BrownDepartment of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida, USA.
Paul R CarneyDepartment of Neurology and Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Carlos RinaldiJ. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, Florida, USA.
Thomas H MareciJ. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, Florida, USA.
James R EwingDepartment of Neurology, Henry Ford Hospital, Detroit, Michigan, USA.
Malisa SarntinoranontDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida, USA.
University of Florida · USHenry Ford Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

MRI Biomarkers of Response in Cerebral TumorsR01CA135329 · NCI · HENRY FORD HEALTH SYSTEM · PI EWING, JAMES R · 2009 to 2013
$1.5M
Computational Transport Models for Convection-Enhanced CNS DeliveryR01NS063360 · NINDS · UNIVERSITY OF FLORIDA · PI SARNTINORANONT, MALISA · 2008 to 2012
$1.5M
NCI NIH HHS R01 CA135329NINDS NIH HHS R01 NS063360
6 · The paper itself

Abstract

backgroundBrainstem gliomas are aggressive and difficult to treat. Growth of these tumors may be characterized with MRI methods. PURPOSE: To visualize longitudinal changes in tumor volume, vascular leakiness, and tissue microstructure in an animal model of brainstem glioma. STUDY TYPE: Prospective animal model. ANIMAL MODEL: Male Sprague-Dawley rats (n = 9) were imaged with 9L gliosarcoma cells infused into the pontine reticular formation of the brainstem. The MRI tumor microenvironment was studied at 3 and 10 days postimplantation of tumor cells. FIELD STRENGTH/SEQUENCE: Diffusion tensor imaging (DTI) and dynamic contrast-enhanced (DCE)-MRI were performed at 4.7T using spin-echo multislice echo planar imaging and gradient echo multislice imaging, respectively. ASSESSMENT: Tumor leakiness was assessed by the forward volumetric transfer constant, K STATISTICAL TESTS: Changes in the assessed parameters within and across the groups (ie, rats 3 and 10 days post tumor cell implantation) were evaluated with Wilcoxon rank-sum tests.

resultsDay 3 tumors were visible mainly on contrast-enhanced images, while day 10 tumors were visible in both contrast-enhanced and diffusion-weighted images. Mean K DATA

conclusionContrast-enhanced MRI was found to be more sensitive in detecting early-stage tumor boundaries than other contrasts. Areas of the tumor outlined by DCE-MRI and DTI were significantly different. Over the observed period of tumor growth, average vessel leakiness decreased with tumor progression. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:1322-1332.

Indexed as

Tumor MicroenvironmentAnimalsBrain NeoplasmsBrain StemDiffusion Tensor ImagingDisease Models, AnimalGliomaMagnetic Resonance AngiographyMaleRatsRats, Sprague-Dawleybrainstem gliomadiffusion imagingdynamic contrast-enhanced MRItumor leakinesstumor volume

Identifiers

PMID30318760
PMCPMC8968635
OpenAlexW2897025548

What OpenQuestion holds

Textmetadata
LicenceTDM
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.