Evidence map›Paper›PMID 36941736›Full record

ArticleMagnetic resonance in medicine2023

Cardiac q-space trajectory imaging by motion-compensated tensor-valued diffusion encoding in human heart in vivo.

Irvin Teh, David Shelley, Jordan H Boyle, Fenglei Zhou, Ana-Maria Poenar, Noor Sharrack, Richard J Foster, Nadira Y Yuldasheva, Geoff J M Parker, Erica Dall'Armellina and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 11 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

13 authors at 5 institutions in 3 countries.

Irvin TehLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-6705-3129
David ShelleyLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Jordan H BoyleFaculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.ORCID 0000-0002-4219-9383
Fenglei ZhouCenter for Medical Image Computing, Department of Medical Physics & Biomedical Engineering and Department of Neuroinflammation, University College London, London, UK.ORCID 0000-0002-8348-4658
Ana-Maria PoenarLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-9281-5025
Noor SharrackLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0001-5880-1722
Richard J FosterLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-5337-3615
Nadira Y YuldashevaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0001-6213-6358
Geoff J M ParkerCenter for Medical Image Computing, Department of Medical Physics & Biomedical Engineering and Department of Neuroinflammation, University College London, London, UK.ORCID 0000-0003-2934-2234
Erica Dall'ArmellinaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-2165-7154
Sven PleinLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-0997-4384
Jürgen E SchneiderLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-0999-5684
Filip SzczepankiewiczMedical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden.ORCID 0000-0002-5251-587X
University of Leeds · GBAbsynth Biologics (United Kingdom) · GBDelft University of Technology · NLLund University · SEUniversity College London · GB

Funding

British Heart Foundation CH/16/2/32089British Heart Foundation FS/13/71/30378British Heart Foundation PG/17/28/32943British Heart Foundation PG/19/1/34076British Heart Foundation SI/14/1/30718Department of HealthWellcome TrustWellcome Trust 219536/Z/19/Z
6 · The paper itself

Abstract

purposeTensor-valued diffusion encoding can probe more specific features of tissue microstructure than what is available by conventional diffusion weighting. In this work, we investigate the technical feasibility of tensor-valued diffusion encoding at high b-values with q-space trajectory imaging (QTI) analysis, in the human heart in vivo.

methodsTen healthy volunteers were scanned on a 3T scanner. We designed time-optimal gradient waveforms for tensor-valued diffusion encoding (linear and planar) with second-order motion compensation. Data were analyzed with QTI. Normal values and repeatability were investigated for the mean diffusivity (MD), fractional anisotropy (FA), microscopic FA (μFA), isotropic, anisotropic and total mean kurtosis (MKi, MKa, and MKt), and orientation coherence (C

resultsQTI data in the left ventricular myocardium were MD = 1.62 ± 0.07 μm

conclusionWe demonstrated the first tensor-valued diffusion encoding and QTI analysis in the heart in vivo, along with first measurements of myocardial μFA, MKi, MKa, and C

Indexed as

Diffusion Tensor ImagingHeartAnisotropyDiffusion Magnetic Resonance ImagingHeart VentriclesHumansMyocardiumcardiac microstructurediffusion tensor imagingmotion-compensated diffusion encodingq-space trajectory imagingtensor-valued diffusion encodingtissue characterization

Identifiers

PMID36941736
PMCPMC10952623
OpenAlexW4328048507

What OpenQuestion holds

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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.