Evidence map›Paper›PMID 36136874›Full record

ArticleTomography (Ann Arbor, Mich.)2022

Dynamic Contrast-Enhanced MRI in the Abdomen of Mice with High Temporal and Spatial Resolution Using Stack-of-Stars Sampling and KWIC Reconstruction.

Stephen Pickup, Miguel Romanello, Mamta Gupta, Hee Kwon Song, Rong Zhou

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. 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
0.9field-weighted citation impact, top 28% 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, 6 citations in OpenAlex.

  1. Trial
  2. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Review
  4. Article
  5. Review
  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

5 authors at 1 institution in 1 country.

Stephen PickupDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Miguel RomanelloDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-4219-1880
Mamta GuptaDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-0928-1104
Hee Kwon SongDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Rong ZhouDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
University of Pennsylvania · US

Funding

Penn Quantitative MRI Resource for Pancreatic CancerU24CA231858 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ODWYER, PETER J, ROSEN, MARK ALAN · 2018 to 2022
$3.0M
NIH HHS P30-CA-916529NIH HHS U24-CA-231858
6 · The paper itself

Abstract

Application of quantitative dynamic contrast-enhanced (DCE) MRI in mouse models of abdominal cancer is challenging due to the effects of RF inhomogeneity, image corruption from rapid respiratory motion and the need for high spatial and temporal resolutions. Here we demonstrate a DCE protocol optimized for such applications. The method consists of three acquisitions: (1) actual flip-angle

Indexed as

Image EnhancementImage Interpretation, Computer-AssistedAbdomenAnimalsContrast MediaImage Processing, Computer-AssistedMagnetic Resonance ImagingMiceContrast Mediadynamic contrast enhancedperfusionradialrespiratory motionstack of stars

Identifiers

PMID36136874
PMCPMC9498490
OpenAlexW4293225016

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.