Evidence map›Paper›PMID 36893687›Full record

ArticleJournal of the mechanical behavior of biomedical materials2023

Transversely-isotropic brain in vivo MR elastography with anisotropic damping.

Dhrubo Jyoti, Matthew McGarry, Diego A Caban-Rivera, Elijah Van Houten, Curtis L Johnson, Keith Paulsen

Open access · greenAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2023. 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
1.8field-weighted citation impact, top 15% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Imaging the subcellular viscoelastic properties of mouse oocytes.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

6 authors at 3 institutions in 2 countries.

Dhrubo JyotiThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA. Electronic address: dhrubo.jyoti@dartmouth.edu.
Matthew McGarryThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA. Electronic address: matthew.d.mcgarry@dartmouth.edu.
Diego A Caban-RiveraUniversity of Delaware, Newark, DE, 19716, USA.
Elijah Van HoutenUniversité de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.
Curtis L JohnsonUniversity of Delaware, Newark, DE, 19716, USA.
Keith PaulsenThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA; Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA.
Dartmouth College · USUniversity of Delaware · USUniversité de Sherbrooke · CA

Funding

High-Resolution, Anisotropic MR Elastography of the BrainR01EB027577 · NIBIB · UNIVERSITY OF DELAWARE · PI BAYLY, PHILIP V, JOHNSON, CURTIS L · 2019 to 2022
$2.7M
NIBIB NIH HHS R01 EB027577
6 · The paper itself

Abstract

Measuring tissue parameters from increasingly sophisticated mechanical property models may uncover new contrast mechanisms with clinical utility. Building on previous work on in vivo brain MR elastography (MRE) with a transversely-isotropic with isotropic damping (TI-ID) model, we explore a new transversely-isotropic with anisotropic damping (TI-AD) model that involves six independent parameters describing direction-dependent behavior for both stiffness and damping. The direction of mechanical anisotropy is determined by diffusion tensor imaging and we fit three complex-valued moduli distributions across the full brain volume to minimize differences between measured and modeled displacements. We demonstrate spatially accurate property reconstruction in an idealized shell phantom simulation, as well as an ensemble of 20 realistic, randomly-generated simulated brains. We characterize the simulated precisions of all six parameters across major white matter tracts to be high, suggesting that they can be measured independently with acceptable accuracy from MRE data. Finally, we present in vivo anisotropic damping MRE reconstruction data. We perform t-tests on eight repeated MRE brain exams on a single-subject, and find that the three damping parameters are statistically distinct for most tracts, lobes and the whole brain. We also show that population variations in a 17-subject cohort exceed single-subject measurement repeatability for most tracts, lobes and whole brain, for all six parameters. These results suggest that the TI-AD model offers new information that may support differential diagnosis of brain diseases.

Indexed as

Diffusion Tensor ImagingElasticity Imaging TechniquesAnisotropyBrainHumansMagnetic Resonance Imaging

Identifiers

PMID36893687
PMCPMC10084917
OpenAlexW4322723775

What OpenQuestion holds

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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.