Evidence map›Paper›PMID 29154442›Full record

ArticleMagnetic resonance in medicine2018

A biomimetic tumor tissue phantom for validating diffusion-weighted MRI measurements.

Damien J McHugh, Feng-Lei Zhou, Ian Wimpenny, Gowsihan Poologasundarampillai, Josephine H Naish, Penny L Hubbard Cristinacce, Geoffrey J M Parker

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

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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.

Damien J McHughDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-1446-5883
Feng-Lei ZhouDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-8348-4658
Ian WimpennyDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Gowsihan PoologasundarampillaiThe School of Materials, The University of Manchester, Manchester, UK.
Josephine H NaishDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Penny L Hubbard CristinacceDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Geoffrey J M ParkerDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0003-2934-2234
University of Manchester · GBEngineering and Physical Sciences Research Council · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F011350/1Cancer Research UK 16465Cancer Research UK C8742/A18097
6 · The paper itself

Abstract

purposeTo develop a biomimetic tumor tissue phantom which more closely reflects water diffusion in biological tissue than previously used phantoms, and to evaluate the stability of the phantom and its potential as a tool for validating diffusion-weighted (DW) MRI measurements.

methodsCoaxial-electrospraying was used to generate micron-sized hollow polymer spheres, which mimic cells. The bulk structure was immersed in water, providing a DW-MRI phantom whose apparent diffusion coefficient (ADC) and microstructural properties were evaluated over a period of 10 months. Independent characterization of the phantom's microstructure was performed using scanning electron microscopy (SEM). The repeatability of the construction process was investigated by generating a second phantom, which underwent high resolution synchrotron-CT as well as SEM and MR scans.

resultsADC values were stable (coefficients of variation (CoVs) < 5%), and varied with diffusion time, with average values of 1.44 ± 0.03 µm

conclusionA novel biomimetic phantom has been developed and shown to be stable over 10 months. It is envisaged that such phantoms will be used for further investigation of microstructural models relevant to characterizing tumor tissue, and may also find application in evaluating acquisition protocols and comparing DW-MRI-derived biomarkers obtained from different scanners at different sites. Magn Reson Med 80:147-158, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Indexed as

BiomimeticsDiffusion Magnetic Resonance ImagingPhantoms, ImagingAlgorithmsBiomarkersElectrochemistryEquipment DesignHumansLikelihood FunctionsMaterials TestingMicroscopy, Electron, ScanningNeoplasmsPolymersSynchrotronsTomography, X-Ray ComputedWaterBiomarkersPolymersWaterbiomimetic phantomscoaxial electrosprayingdiffusion MRIhollow microspherestumor microstructure

Identifiers

PMID29154442
PMCPMC5900984
OpenAlexW2790041221

What OpenQuestion holds

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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.