Evidence map›Paper›PMID 28692137›Full record

ArticleMedical physics2017

Portable perfusion phantom for quantitative DCE-MRI of the abdomen.

Harrison Kim, Mina Mousa, Patrick Schexnailder, Robert Hergenrother, Mark Bolding, Bernard Ntsikoussalabongui, Vinoy Thomas, Desiree E Morgan

Open access · bronzeAbstract read
In one paragraph

Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  6. Quantitative Perfusion-Weighted Magnetic Resonance Imaging in Uveal Melanoma.Investigative ophthalmology & visual science · 2024
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  11. Article
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  13. Article
  14. Quantitative imaging for radiotherapy purposes.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020
    Review
  15. Translating preclinical MRI methods to clinical oncology.Journal of magnetic resonance imaging : JMRI · 2019
    Review
  16. Review
  17. Article
  18. Article
  19. 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

8 authors at 2 institutions in 1 country.

Harrison KimDepartment of Radiology, University of Alabama, Birmingham, AL, 35294, USA.
Mina MousaDepartment of Radiology, University of Alabama, Birmingham, AL, 35294, USA.
Patrick SchexnailderAlliance for Innovative Medical Technology, Southern Research, Birmingham, AL, 35205, USA.
Robert HergenrotherAlliance for Innovative Medical Technology, Southern Research, Birmingham, AL, 35205, USA.
Mark BoldingDepartment of Radiology, University of Alabama, Birmingham, AL, 35294, USA.
Bernard NtsikoussalabonguiBioanalytical Sciences, Southern Research, Birmingham, AL, 35205, USA.
Vinoy ThomasDepartment of Materials Science and Engineering, University of Alabama, Birmingham, AL, 35294, USA.
Desiree E MorganDepartment of Radiology, University of Alabama, Birmingham, AL, 35294, USA.
University of Alabama at Birmingham · USSouthern Research Institute · US

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
NCI NIH HHS P30 CA013148
6 · The paper itself

Abstract

purposeThe aim of this study was to develop a portable perfusion phantom and validate its utility in quantitative dynamic contrast-enhanced magnetic resonance imaging of the abdomen.

methodsA portable perfusion phantom yielding a reproducible contrast enhancement curve (CEC) was developed. A phantom package including perfusion and static phantoms were imaged simultaneously with each of three healthy human volunteers in two different 3T MR scanners. Look-up tables correlating reference (known) contrast concentrations with measured ones were created using either the static or perfusion phantom. Contrast maps of image slices showing four organs (liver, spleen, pancreas, and paravertebral muscle) were generated before and after data correction using the look-up tables. The contrast concentrations at 4.5 min after dosing in each of the four organs were averaged for each volunteer. The mean contrast concentrations (4 organs × 3 volunteers = 12) were compared for the two scanners, and the intra-class correlation coefficient (ICC) was calculated. Also, the ICC of the mean K

resultsThe repeatability coefficient of CECs of perfusion phantom was higher than 0.997 in all measurements. The ICC of the tissue contrast concentrations between the two scanners was 0.693 before correction, but increased to 0.974 after correction using the look-up tables (LUTs) of perfusion phantom. However, the ICC was not increased after correction using static phantom (ICC: 0.617). Similarly, the ICC of the K

conclusionsThe perfusion phantom reduced variability in quantitating contrast concentration and K

Indexed as

Contrast MediaPhantoms, ImagingAbdomenAdultFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePerfusionContrast MediaabdomenDCE-MRIperfusion parametersperfusion phantomstatic phantom

Identifiers

PMID28692137
PMCPMC5646228
OpenAlexW2735100622

What OpenQuestion holds

Textmetadata
LicenceTDM
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.