Evidence map›Paper›PMID 34428220›Full record

ArticlePloS one2021

Development of a standardized MRI protocol for pancreas assessment in humans.

John Virostko, Richard C Craddock, Jonathan M Williams, Taylor M Triolo, Melissa A Hilmes, Hakmook Kang, Liping Du, Jordan J Wright, Mara Kinney, Jeffrey H Maki and 8 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Toward diffusion MRI in the diagnosis and treatment of pancreatic cancer.Medical oncology (Northwood, London, England) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

18 authors.

John VirostkoDepartment of Diagnostic Medicine, University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0003-3413-8801
Richard C CraddockDepartment of Diagnostic Medicine, University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0002-4950-1303
Jonathan M WilliamsDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Taylor M TrioloBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America.ORCID 0000-0003-4796-6542
Melissa A HilmesDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Hakmook KangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0001-6876-4021
Liping DuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Jordan J WrightDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Mara KinneyBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
Jeffrey H MakiDepartment of Radiology, University of Colorado School of Medicine, Aurora, Colorado, United States of America.ORCID 0000-0003-3789-6210
Milica MedvedDepartment of Radiology, University of Chicago, Chicago, IL, United States of America.ORCID 0000-0003-2945-5511
Michaela WaibelImmunology and Diabetes Unit, St Vincent's Institute, Fitzroy, Victoria, Australia.
Thomas W H KayImmunology and Diabetes Unit, St Vincent's Institute, Fitzroy, Victoria, Australia.
Helen E ThomasImmunology and Diabetes Unit, St Vincent's Institute, Fitzroy, Victoria, Australia.
Siri Atma W GreeleySection of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, United States of America.ORCID 0000-0002-0741-3567
Andrea K SteckBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
Daniel J MooreDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Alvin C PowersDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
K12 Career DevelopmentK12DK094712 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI STECK, ANDREA · 2011 to 2021
$4.5M
NCATS NIH HHS UL1 TR000445NIDDK NIH HHS K12 DK094712NIDDK NIH HHS P30 DK020595
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) has detected changes in pancreas volume and other characteristics in type 1 and type 2 diabetes. However, differences in MRI technology and approaches across locations currently limit the incorporation of pancreas imaging into multisite trials. The purpose of this study was to develop a standardized MRI protocol for pancreas imaging and to define the reproducibility of these measurements. Calibrated phantoms with known MRI properties were imaged at five sites with differing MRI hardware and software to develop a harmonized MRI imaging protocol. Subsequently, five healthy volunteers underwent MRI at four sites using the harmonized protocol to assess pancreas size, shape, apparent diffusion coefficient (ADC), longitudinal relaxation time (T1), magnetization transfer ratio (MTR), and pancreas and hepatic fat fraction. Following harmonization, pancreas size, surface area to volume ratio, diffusion, and longitudinal relaxation time were reproducible, with coefficients of variation less than 10%. In contrast, non-standardized image processing led to greater variation in MRI measurements. By using a standardized MRI image acquisition and processing protocol, quantitative MRI of the pancreas performed at multiple locations can be incorporated into clinical trials comparing pancreas imaging measures and metabolic state in individuals with type 1 or type 2 diabetes.

Indexed as

AdultDiffusion Magnetic Resonance ImagingFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePancreasPhantoms, ImagingProspective StudiesReproducibility of Results

Identifiers

PMID34428220
PMCPMC8384163

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Registered trials

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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.