Evidence map›Paper›PMID 30409175›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2018

Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.

Ravneet Vohra, Joshua Park, Yak-Nam Wang, Kayla Gravelle, Stella Whang, Joo-Ha Hwang, Donghoon Lee

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Modeling pancreatic cancer in mice for experimental therapeutics.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 1 country.

Ravneet VohraDepartment of Radiology, University of Washington, Seattle, USA.
Joshua ParkDepartment of Radiology, University of Washington, Seattle, USA.
Yak-Nam WangApplied Physics Laboratory, University of Washington, Seattle, USA.
Kayla GravelleApplied Physics Laboratory, University of Washington, Seattle, USA.
Stella WhangApplied Physics Laboratory, University of Washington, Seattle, USA.
Joo-Ha HwangDepartment of Medicine, University of Washington, Seattle, USA.
Donghoon LeeDepartment of Radiology, University of Washington, Seattle, USA. dhoonlee@uw.edu.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
National Cancer Institute R01CA154451National Cancer Institute R01CA188654NCI NIH HHS R01 CA154451NCI NIH HHS R01 CA188654
6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDA) is a fatal disease with very poor prognosis. Development of sensitive and noninvasive methods to monitor tumor progression in PDA is a critical and unmet need. Magnetic resonance imaging (MRI) can noninvasively provide information regarding underlying pathophysiological processes such as necrosis, inflammatory changes and fibrotic tissue deposition.

methodsA genetically engineered KPC mouse model that recapitulates human PDA was used to characterize disease progression. MR measures of T

resultsThere was a negative correlation between amide proton transfer signal intensity and tumor volume (r = - 0.63, p = 0.003) in the slow growth phase of the tumor development. In the terminal stage of rapid growth phase of the tumor development MTR was strongly correlated with tumor volume (r = 0.62, p = 0.008). Finally, MTR was significantly correlated with % fibrosis (r = 0.87; p < 0.01), followed by moderate correlation between tumor volume (r = 0.42); T

conclusionsHere we demonstrated, using multi-parametric MRI (mp-MRI), that MRI parameters changed with tumor progression in a mouse model of PDA. Use of mp-MRI may have the potential to monitor the dynamic changes of tumor microenvironment with increase in tumor size in the transgenic KPC mouse model of pancreatic tumor.

Indexed as

AnimalsCarcinoma, Pancreatic DuctalMagnetic Resonance ImagingMicePancreatic NeoplasmsKPCMulti-parametric MRIPancreatic ductal adenocarcinomaTumor microenvironment

Identifiers

PMID30409175
PMCPMC6225661
OpenAlexW2899635582

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.