Evidence map›Paper›PMID 28390098›Full record

ArticleCancer medicine2017

Noninvasive characterization of pancreatic tumor mouse models using magnetic resonance imaging.

Navid Farr, Yak-Nam Wang, Samantha D'Andrea, Kayla M Gravelle, Joo Ha Hwang, Donghoon Lee

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  10. Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2018
    Article
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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

6 authors at 2 institutions in 1 country.

Navid FarrDepartment of Bioengineering, University of Washington, Seattle, Washington.
Yak-Nam WangApplied Physics Laboratory, University of Washington, Seattle, Washington.
Samantha D'AndreaDepartment of Medicine, University of Washington, Seattle, Washington.
Kayla M GravelleDepartment of Medicine, University of Washington, Seattle, Washington.
Joo Ha HwangDepartment of Medicine, University of Washington, Seattle, Washington.
Donghoon LeeDepartment of Radiology, University of Washington, Seattle, Washington.ORCID http://orcid.org/0000-0001-5220-3991
University of Washington · USUniversity of Washington Applied Physics Laboratory · US

Funding

Ultrasound enhanced penetration for treatment of pancreatic cancerR01CA154451 · NCI · UNIVERSITY OF WASHINGTON · PI HWANG, JOO HA · 2011 to 2021
$4.3M
MR-HIFU induced drug delivery for pancreatic cancer treatmentR01CA188654 · NCI · UNIVERSITY OF WASHINGTON · PI LEE, DONGHOON · 2015 to 2019
$2.6M
Bruker Avance III 600 MHz (14T) Wide Bore SpectrometerS10RR029021 · NCRR · UNIVERSITY OF WASHINGTON · PI KUSHMERICK, MARTIN J · 2010 to 2010
$1.0M
NCI NIH HHS R01 CA154451NCI NIH HHS R01 CA188654NCRR NIH HHS S10 RR029021
6 · The paper itself

Abstract

The preclinical models of pancreatic adenocarcinoma provide an alternative means for determining the mechanisms of malignancy and possibilities for treatments, thus representing a resource of immense potential for cancer treatment in medicine. To evaluate different tumor models, quantifiable magnetic resonance imaging (MRI) techniques can play a significant role in identifying valuable in vivo biomarkers of tumor characteristics. We characterized three models of pancreatic cancer with multiparametric MRI techniques. Tumor stromal density of each tumor was measured using diffusion-weighted imaging and magnetization transfer (MT-MRI). Histologic measurement showed a similar trend with tumor fibrosis levels. Results indicated that MRI measurements can serve as a valuable tool in identifying and evaluating tumor characteristics.

Indexed as

AnimalsBiomarkers, TumorDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingMiceNeoplasm TransplantationPancreatic NeoplasmsSensitivity and SpecificityBiomarkers, TumorApparent diffusion coefficientfibrosisKPC mouse modelmagnetic resonance imagingmagnetization transfer ratiopancreatic ductal adenocarcinoma

Identifiers

PMID28390098
PMCPMC5430104
OpenAlexW2605097932

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.