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Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking

OBJECTIVES: Cardiovascular 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 feasi...

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Autores principales: Kowallick, Johannes T., Lamata, Pablo, Hussain, Shazia T., Kutty, Shelby, Steinmetz, Michael, Sohns, Jan M., Fasshauer, Martin, Staab, Wieland, Unterberg-Buchwald, Christina, Bigalke, Boris, Lotz, Joachim, Hasenfuß, Gerd, Schuster, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4186780/
https://www.ncbi.nlm.nih.gov/pubmed/25285656
http://dx.doi.org/10.1371/journal.pone.0109164
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author Kowallick, Johannes T.
Lamata, Pablo
Hussain, Shazia T.
Kutty, Shelby
Steinmetz, Michael
Sohns, Jan M.
Fasshauer, Martin
Staab, Wieland
Unterberg-Buchwald, Christina
Bigalke, Boris
Lotz, Joachim
Hasenfuß, Gerd
Schuster, Andreas
author_facet Kowallick, Johannes T.
Lamata, Pablo
Hussain, Shazia T.
Kutty, Shelby
Steinmetz, Michael
Sohns, Jan M.
Fasshauer, Martin
Staab, Wieland
Unterberg-Buchwald, Christina
Bigalke, Boris
Lotz, Joachim
Hasenfuß, Gerd
Schuster, Andreas
author_sort Kowallick, Johannes T.
collection PubMed
description OBJECTIVES: Cardiovascular 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. METHODS: Short-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). RESULTS: Quantification 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. CONCLUSIONS: CMR-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.
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spelling pubmed-41867802014-10-16 Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking Kowallick, Johannes T. Lamata, Pablo Hussain, Shazia T. Kutty, Shelby Steinmetz, Michael Sohns, Jan M. Fasshauer, Martin Staab, Wieland Unterberg-Buchwald, Christina Bigalke, Boris Lotz, Joachim Hasenfuß, Gerd Schuster, Andreas PLoS One Research Article OBJECTIVES: Cardiovascular 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. METHODS: Short-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). RESULTS: Quantification 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. CONCLUSIONS: CMR-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. Public Library of Science 2014-10-06 /pmc/articles/PMC4186780/ /pubmed/25285656 http://dx.doi.org/10.1371/journal.pone.0109164 Text en © 2014 Kowallick et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kowallick, Johannes T.
Lamata, Pablo
Hussain, Shazia T.
Kutty, Shelby
Steinmetz, Michael
Sohns, Jan M.
Fasshauer, Martin
Staab, Wieland
Unterberg-Buchwald, Christina
Bigalke, Boris
Lotz, Joachim
Hasenfuß, Gerd
Schuster, Andreas
Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking
title Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking
title_full Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking
title_fullStr Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking
title_full_unstemmed Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking
title_short Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking
title_sort quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4186780/
https://www.ncbi.nlm.nih.gov/pubmed/25285656
http://dx.doi.org/10.1371/journal.pone.0109164
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