Evidence map›Paper›PMID 40085822›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2025

Towards non-invasive assessment of myocardial work using myocardial stiffness and strain: a human pilot study.

Maelys Venet, Jerome Baranger, Aimen Malik, Minh B Nguyen, Seema Mital, Mark K Friedberg, Mathieu Pernot, Clement Papadacci, Sebastien Salles, Rajiv Chaturvedi and 2 more

Abstract readComparative Study
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2025. 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. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Maelys VenetDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.ORCID 0009-0009-0889-1016
Jerome BarangerDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.
Aimen MalikDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.
Minh B NguyenDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.ORCID 0000-0001-8015-6838
Seema MitalDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.ORCID 0000-0002-7643-4484
Mark K FriedbergDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.
Mathieu PernotPhysics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS FRE, PSL Research University, Paris, France.
Clement PapadacciPhysics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS FRE, PSL Research University, Paris, France.
Sebastien SallesLaboratoire d'Imagerie Biomédicale (LIB), CNRS, INSERM, Sorbonne Université, Paris, France.
Rajiv ChaturvediDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.
Luc MertensDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.
Olivier VillemainDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, 170 Elizabeth St, University of Toronto, Toronto, ON M5G 1E8, Ontario, Canada.

Funding

Canada Foundation for InnovationCIHR 202203PJT-183888Ministry of Research and Innovation, Canada
6 · The paper itself

Abstract

aimsMyocardial work assessment has emerged as a promising tool for left ventricular (LV) performance evaluation. Existing non-invasive methods for assessing it rely on assumptions on LV pressure and geometry. Recently, shear wave elastography allowed to quantify changes in myocardial stiffness throughout the cardiac cycle. Based on Hooke's law, it becomes theoretically possible to calculate myocardial stress and work from myocardial stiffness and strain measurements. The main objective of this study is to demonstrate the feasibility of this comprehensive ultrasound approach and to compare myocardial work values between populations where variations are anticipated. METHODS AND

resultsChildren with hypertrophic cardiomyopathy (HCM), aortic stenosis (AS) and healthy volunteers (HV) were included in this study. Segment dimensions, strain, thickness, and segmental myocardial stiffness were assessed in the basal antero-septal segment throughout the cardiac cycle. One-beat segmental work, the stress-strain loop area, and contributive and dissipative work were compared between groups. Twenty HV (9.8 ± 5.3 years of age), 20 HCM (10.0 ± 6.1 years of age), and 5 AS (5.3 ± 4.3 years of age) subjects were included. One-beat segmental work was significantly higher in AS (272.0 ± 102.9 µJ/mm) and lower in HCM (38.2 ± 106.9 µJ/mm) compared with HV (131.1 ± 83.3 µJ/mm), P = 0.02 and P = 0.01, respectively. Desynchronized work was prevailing in HCM with dissipative work during systole measured at 17.3 ± 28.9 µJ/mm and contributive work during diastole measured at 15.3 ± 18.0 µJ/mm. The stress-strain loop area was higher in AS (95.2 ± 31.1 kPa%) and HV (66.2 ± 35.9 kPa%) than in HCM (5.8 ± 13.0 kPa%), P < 0.01.

conclusionCalculating segmental myocardial work based on myocardial stiffness and strain measurements is technically feasible. This approach overcomes the inherent limitations of current methods by introducing a direct quantitative measure of myocardial stress.

Indexed as

Aortic Valve StenosisCardiomyopathy, HypertrophicElasticity Imaging TechniquesAdolescentCase-Control StudiesChildFeasibility StudiesFemaleHumansMaleMyocardial ContractionPilot Projects

Identifiers

PMID40085822
PMCPMC12123516

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.