Evidence map›Paper›PMID 25866057›Full record

ArticleJournal of magnetic resonance imaging : JMRI2015

Assessment of tumor response to oxygen challenge using quantitative diffusion MRI in an animal model.

Zhongwei Zhang, Qing Yuan, Heling Zhou, Dawen Zhao, Li Li, Jenifer L Gerberich, Ralph P Mason

Open access · bronzeAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2015. 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
1.6field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Determination of oxygen rMagma (New York, N.Y.) · 2020
    Article
  3. Observational
  4. Article
  5. Article
  6. Review
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 at 2 institutions in 1 country.

Zhongwei ZhangDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Qing YuanDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Heling ZhouDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Dawen ZhaoDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Li LiDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Jenifer L GerberichDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Ralph P MasonDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Southwestern Medical CenterThe University of Texas Southwestern Medical Center · US

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
TR&D 3: Imaging Carbohydrate MetabolismP41EB015908 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI MALLOY, CRAIG R · 2012 to 2021
$10.9M
Hypoxia and Radiotherapy: Evaluation and Mitigation in TumorsR01CA139043 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MASON, RALPH P. · 2010 to 2014
$1.6M
NCI NIH HHS P30 CA142543NCI NIH HHS R01 CA139043NIBIB NIH HHS P41 EB015908NIBIB NIH HHS P41 EB0159808
6 · The paper itself

Abstract

purposeTo assess tumor response to oxygen challenge using quantitative diffusion magnetic resonance imaging (MRI). MATERIALS AND

methodsA well-characterized Dunning R3327-AT1 rat prostate cancer line was implanted subcutaneously in the right thigh of male Copenhagen rats (n = 8). Diffusion-weighted images (DWI) with multiple b values (0, 25, 50, 100, 150, 200, 300, 500, 1000, 1500 s/mm(2) ) in three orthogonal directions were obtained using a multishot FSE-based Stejskal-Tanner DWI sequence (FSE-DWI) at 4.7T, while rats breathed medical air (21% oxygen) and with 100% oxygen challenge. Stretched-exponential and intravoxel incoherent motion (IVIM) models were used to calculate and compare quantitative diffusion parameters: diffusion heterogeneity index (α), intravoxel distribution of diffusion coefficients (DDC), tissue diffusivity (Dt), pseudo-diffusivity (Dp), and perfusion fraction (f) on a voxel-by-voxel basis.

resultsA significant increase of α (73.9 ± 4.7% in air vs. 78.1 ± 4.5% in oxygen, P = 0.0198) and a significant decrease of f (13.4 ± 3.7% in air vs. 10.4 ± 2.7% in oxygen, P = 0.0201) were observed to accompany oxygen challenge. Correlations between f and α during both air and oxygen breathing were found; the correlation coefficients (r) were -0.90 and -0.96, respectively. Positive correlations between Dt and DDC with oxygen breathing (r = 0.95, P = 0.0003), f and DDC with air breathing were also observed (r = 0.95, P = 0.0004).

conclusionQuantitative diffusion MRI demonstrated changes in tumor perfusion in response to oxygen challenge.

Indexed as

Diffusion Magnetic Resonance ImagingAnimalsDisease Models, AnimalHyperoxiaImage Interpretation, Computer-AssistedMaleOxygenProstatic NeoplasmsRatsOxygendiffusion-weighted imaginghyperoxiaintravoxel incoherent motion (IVIM)perfusionstretched-exponential modeltumor oxygenation

Identifiers

PMID25866057
PMCPMC4600409
OpenAlexW1899404244

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.