Evidence map›Paper›PMID 21147931›Full record

ArticleToxicologic pathology2011

Continuing education course #1: non-invasive imaging as a problem-solving tool and translational biomarker strategy in toxicologic pathology.

Richard A Peterson, Kathy L Gabrielson, G Allan Johnson, Martin G Pomper, Robert W Coatney, Christopher T Winkelmann

Abstract read
In one paragraph

Article in Toxicologic pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Richard A PetersonGlaxoSmithKline Safety Assessment, Research Triangle Park, NC 27709, USA. richard.a.peterson@gsk.com
Kathy L Gabrielson
G Allan Johnson
Martin G Pomper
Robert W Coatney
Christopher T Winkelmann

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Small Animal Imaging Resource ProgramU24CA092656 · NCI · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2007 to 2011
$2.2M
NCI NIH HHS U24 CA092656NIBIB NIH HHS P41 EB015897
6 · The paper itself

Abstract

The continuing education course "Non-Invasive Imaging as a Problem-Solving Tool and Translational Biomarker Strategy in Toxicologic Pathology" provided a thorough overview of commonly used imaging modalities and the logistics required for integration of small animal imaging into toxicologic pathology. Non-invasive imaging (NIN) is gaining acceptance as an important modality in toxicologic pathology. This technology allows nonterminal, time-course evaluation of functional and morphologic endpoints and can be used to translate biomarkers between preclinical animal models and human patients. NIN can support drug development as well as basic research in academic or industrial environments. An initial overview of theoretical principles was followed by focused presentations on magnetic resonance imaging (MRI)/magnetic resonance microscopy (MRM), positron emission tomography (PET)/single proton emission computed tomography (SPECT), ultrasonography (US, primarily focused on echocardiography), optical (bioluminescent) imaging, and computed tomography (CT). The choice of imaging modality will depend on the research question and the needed resolution.

Indexed as

BiomarkersEducation, ContinuingAnimalsEchocardiographyHumansMagnetic Resonance ImagingModels, AnimalNervous System DiseasesNeurotoxicity SyndromesPathologyPositron-Emission TomographyTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedToxicologyBiomarkers

Identifiers

PMID21147931
PMCPMC3519422

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.