Evidence map›Paper›PMID 33960501›Full record

ArticleMagnetic resonance in medicine2021

Validating pore size estimates in a complex microfiber environment on a human MRI system.

Chu-Chung Huang, Chih-Chin Heather Hsu, Feng-Lei Zhou, Slawomir Kusmia, Mark Drakesmith, Geoff J M Parker, Ching-Po Lin, Derek K Jones

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Chu-Chung HuangKey Laboratory of Brain Functional Genomics (MOE & STCSM), Affiliated Mental Health Center (ECNU), Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.ORCID 0000-0002-9096-9610
Chih-Chin Heather HsuCenter for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID 0000-0003-1860-1034
Feng-Lei ZhouCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.ORCID 0000-0002-8348-4658
Slawomir KusmiaCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Mark DrakesmithCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.
Geoff J M ParkerCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Ching-Po LinInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.ORCID 0000-0003-4409-8049

Funding

Medical Research Council MR/R025673/1Wellcome Trust 096646Wellcome Trust 096646/Z/11/ZWellcome Trust 104943Wellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

purposeRecent advances in diffusion-weighted MRI provide "restricted diffusion signal fraction" and restricting pore size estimates. Materials based on co-electrospun oriented hollow cylinders have been introduced to provide validation for such methods. This study extends this work, exploring accuracy and repeatability using an extended acquisition on a 300 mT/m gradient human MRI scanner, in substrates closely mimicking tissue, that is, non-circular cross-sections, intra-voxel fiber crossing, intra-voxel distributions of pore-sizes, and smaller pore-sizes overall.

methodsIn a single-blind experiment, diffusion-weighted data were collected from a biomimetic phantom on a 3T Connectom system using multiple gradient directions/diffusion times. Repeated scans established short-term and long-term repeatability. The total scan time (54 min) matched similar protocols used in human studies. The number of distinct fiber populations was estimated using spherical deconvolution, and median pore size estimated through the combination of CHARMED and AxCaliber3D framework. Diffusion-based estimates were compared with measurements derived from scanning electron microscopy.

resultsThe phantom contained substrates with different orientations, fiber configurations, and pore size distributions. Irrespective of one or two populations within the voxel, the pore-size estimates (~5 μm) and orientation-estimates showed excellent agreement with the median values of pore-size derived from scanning electron microscope and phantom configuration. Measurement repeatability depended on substrate complexity, with lower values seen in samples containing crossing-fibers. Sample-level repeatability was found to be good.

conclusionWhile no phantom mimics tissue completely, this study takes a step closer to validating diffusion microstructure measurements for use in vivo by demonstrating the ability to quantify microgeometry in relatively complex configurations.

Indexed as

BiomimeticsDiffusion Magnetic Resonance ImagingBrainHumansMicroscopy, Electron, ScanningPhantoms, ImagingSingle-Blind Methodcrossing fiberdiameterdiffusion MRIelectron microscopymicrostructurephantom

Identifiers

PMID33960501
PMCPMC7613441

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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.