Evidence map›Paper›PMID 25285656›Full record

Trial reportPloS one2014

Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking.

Johannes T Kowallick, Pablo Lamata, Shazia T Hussain, Shelby Kutty, Michael Steinmetz, Jan M Sohns, Martin Fasshauer, Wieland Staab, Christina Unterberg-Buchwald, Boris Bigalke and 3 more

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Non-invasively measured myocardial torsional modulus: Comparison to invasive evaluation of diastolic function.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  4. Review
  5. Review
  6. European journal of nuclear medicine and molecular imaging · 2022
    Article
  7. Review
  8. Review
  9. Myocardial mechanics in dilated cardiomyopathy: prognostic value of left ventricular torsion and strain.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
  10. Review
  11. Clinical validation of three cardiovascular magnetic resonance techniques to measure strain and torsion in patients with suspected coronary artery disease.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Article
  12. Article
  13. Cardiovascular magnetic resonance based diagnosis of left ventricular non-compaction cardiomyopathy: impact of cine bSSFP strain analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Left ventricular synchrony, torsion, and recoil mechanics in Ebstein's anomaly: insights from cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Article
  20. 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

13 authors.

Johannes T KowallickInstitute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Pablo LamataDepartment of Computer Science, University of Oxford, Oxford, United Kingdom; Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, King's College London, London, United Kingdom.
Shazia T HussainPapworth Hospital NHS Trust, Papworth Everard, Cambridgeshire, United Kingdom.
Shelby KuttyChildren's Hospital and Medical Center, University of Nebraska College of Medicine, Omaha, Nebraska, United States of America.
Michael SteinmetzDepartment of Pediatric Cardiology and Intensive Care Medicine, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Jan M SohnsInstitute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Martin FasshauerInstitute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Wieland StaabInstitute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Christina Unterberg-BuchwaldDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Boris BigalkeDivision of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, King's College London, London, United Kingdom; Medizinische Klinik III, Kardiologie und Kreislauferkrankungen, Eberhard-Karls-Universität Tübingen, Tübingen, Germany.
Joachim LotzInstitute for Diagnostic and Interventional Radiology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Gerd HasenfußDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.
Andreas SchusterDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, Göttingen, Germany; Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, King's College London, London, United Kingdom; DZHK (German Centre for Cardiovascular Research), partner site Göttingen, Göttingen, Germany.

Funding

Wellcome Trust 099973Wellcome Trust 099973/Z/12/Z
6 · The paper itself

Abstract

objectivesCardiovascular magnetic resonance feature tracking (CMR-FT) offers quantification of myocardial deformation from routine cine images. However, data using CMR-FT to quantify left ventricular (LV) torsion and diastolic recoil are not yet available. We therefore sought to evaluate the feasibility and reproducibility of CMR-FT to quantify LV torsion and peak recoil rate using an optimal anatomical approach.

methodsShort-axis cine stacks were acquired at rest and during dobutamine stimulation (10 and 20 µg · kg(-1) · min(-1)) in 10 healthy volunteers. Rotational displacement was analysed for all slices. A complete 3D-LV rotational model was developed using linear interpolation between adjacent slices. Torsion was defined as the difference between apical and basal rotation, divided by slice distance. Depending on the distance between the most apical (defined as 0% LV distance) and basal (defined as 100% LV distance) slices, four different models for the calculation of torsion were examined: Model-1 (25-75%), Model-2 (0-100%), Model-3 (25-100%) and Model-4 (0-75%). Analysis included subendocardial, subepicardial and global torsion and recoil rate (mean of subendocardial and subepicardial values).

resultsQuantification of torsion and recoil rate was feasible in all subjects. There was no significant difference between the different models at rest. However, only Model-1 (25-75%) discriminated between rest and stress (Global Torsion: 2.7 ± 1.5° cm(-1), 3.6 ± 2.0° cm(-1), 5.1 ± 2.2° cm(-1), p<0.01; Global Recoil Rate: -30.1 ± 11.1° cm(-1) s(-1),-46.9 ± 15.0° cm(-1) s(-1),-68.9 ± 32.3° cm(-1) s(-1), p<0.01; for rest, 10 and 20 µg · kg(-)1 · min(-1) of dobutamine, respectively). Reproducibility was sufficient for all parameters as determined by Bland-Altman analysis, intraclass correlation coefficients and coefficient of variation.

conclusionsCMR-FT based derivation of myocardial torsion and recoil rate is feasible and reproducible at rest and with dobutamine stress. Using an optimal anatomical approach measuring rotation at 25% and 75% apical and basal LV locations allows effective quantification of torsion and recoil dynamics. Application of these new measures of deformation by CMR-FT should next be explored in disease states.

Indexed as

AlgorithmsMagnetic Resonance Imaging, CineTorsion, MechanicalAdultDiastoleDobutamineFemaleHemodynamicsHumansMaleMiddle AgedMyocardiumRotationVentricular Function, LeftYoung AdultDobutamine

Identifiers

PMID25285656
PMCPMC4186780

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.