Evidence map›Paper›PMID 37345727›Full record

ArticleMagnetic resonance in medicine2023

Measuring cardiomyocyte cellular characteristics in cardiac hypertrophy using diffusion-weighted MRI.

Mohsen Farzi, Sam Coveney, Maryam Afzali, Marie-Christine Zdora, Craig A Lygate, Christoph Rau, Alejandro F Frangi, Erica Dall'Armellina, Irvin Teh, Jürgen E Schneider

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 2 countries.

Mohsen FarziBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-4663-2110
Sam CoveneyBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-7134-3196
Maryam AfzaliBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-3378-0878
Marie-Christine ZdoraDiamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot, UK.
Craig A LygateDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0001-6079-0284
Christoph RauDiamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot, UK.
Alejandro F FrangiCentre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK.ORCID 0000-0002-2675-528X
Erica Dall'ArmellinaBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-2165-7154
Irvin TehBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-6705-3129
Jürgen E SchneiderBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-0999-5684
University of Leeds · GBDiamond Light Source · GBUniversity of Oxford · GB

Funding

British Heart Foundation FS/13/71/30378British Heart Foundation PG/17/28/32943British Heart Foundation PG/19/1/34076British Heart Foundation RG/18/12/34040Wellcome TrustWellcome Trust 219536/Z/19/Z
6 · The paper itself

Abstract

purposeThis paper presents a hierarchical modeling approach for estimating cardiomyocyte major and minor diameters and intracellular volume fraction (ICV) using diffusion-weighted MRI (DWI) data in ex vivo mouse hearts.

methodsDWI data were acquired on two healthy controls and two hearts 3 weeks post transverse aortic constriction (TAC) using a bespoke diffusion scheme with multiple diffusion times (

resultsEstimated parameters using DWI data were (control 1/control 2 vs. TAC 1/TAC 2): major diameter-17.4

conclusionThe proposed method allowed for accurate estimation of biophysical parameters suggesting cardiomyocyte diameters as sensitive biomarkers of hypertrophy in the heart.

Indexed as

Aortic Valve StenosisMyocytes, CardiacAnimalsCardiomegalyDiffusion Magnetic Resonance ImagingImaging, Three-DimensionalMicebiophysical modelscardiac microstructure mappingdiffusion-weighted MRIsynchrotron X-ray imaging

Identifiers

PMID37345727
PMCPMC10962572
OpenAlexW4381597997

What OpenQuestion holds

Textmetadata
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.