Evidence map›Paper›PMID 21683673›Full record

ArticleThe American journal of pathology2011

Visualization of mouse pancreas architecture using MR microscopy.

Paul J Grippo, Palamadai N Venkatasubramanian, Richard H Knop, Daniel M Heiferman, Gheorghe Iordanescu, Laleh G Melstrom, Kevin Adrian, Morgan R Barron, David J Bentrem, Alice M Wyrwicz

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. 3D Virtual Pancreatography.IEEE transactions on visualization and computer graphics · 2022
    Article
  2. Review
  3. 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

10 authors at 2 institutions in 1 country.

Paul J GrippoDepartment of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA. p-grippo@northwestern.edu
Palamadai N Venkatasubramanian
Richard H Knop
Daniel M Heiferman
Gheorghe Iordanescu
Laleh G Melstrom
Kevin Adrian
Morgan R Barron
David J Bentrem
Alice M Wyrwicz
Northwestern University · USNorthShore University HealthSystem · US

Funding

MULTIDISCIPLINARY CLINICAL AND TRANSLATIONAL SCIENCE (MCTS) PROGRAM (UL1)UL1RR025741 · NCRR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GREENLAND, PHILIP · 2008 to 2011
$24.7M
Non Invasive Treatment Response Monitoring and molecular characterization of NSCLC using Cell-free DNA isolated by an AC Electrokinetic DeviceR01CA161283 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GRIPPO, PAUL J · 2012 to 2016
$1.8M
NCI NIH HHS R01 CA161283NCRR NIH HHS UL1 RR025741
6 · The paper itself

Abstract

Pancreatic diseases, which include diabetes, pancreatitis, and pancreatic cancer, are often difficult to detect and/or stage, contributing to a reduced quality of life and lifespan for patients. Thus, there is need for a technology that can visualize tissue changes in the pancreas, improve understanding of disease progression, and facilitate earlier detection in the human population. Because of low spatial resolution, current clinical magnetic resonance imaging (MRI) at low field strength has yet to fully visualize the exocrine, endocrine, vascular, and stromal components of the pancreas. We used high field strength magnetic resonance microscopy (μMRI) to image mouse pancreas ex vivo without contrast agents at high spatial resolution. We analyzed the resulting high-resolution images using volume rendering to resolve components in the pancreas, including acini, islets, blood vessels, and extracellular matrix. Locations and dimensions of pancreatic components as seen in three-dimensional μMRI were compared with histological images, and good correspondence was found. Future longitudinal studies could expand on the use of in vivo μMRI in mouse models of pancreatic diseases. Capturing three-dimensional structural changes through μMRI could help to identify early cellular and tissue changes associated with pancreatic disease, serving as a mode of improved detection in the clinic for endocrine and exocrine pathologies.

Indexed as

AnimalsBlood VesselsContrast MediaImage Processing, Computer-AssistedIslets of LangerhansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMiceMice, Inbred C57BLMicroscopyModels, StatisticalPancreasPancreatic NeoplasmsContrast Media

Identifiers

PMID21683673
PMCPMC3157257
OpenAlexW1976742977

What OpenQuestion holds

Textmetadata
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.