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

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 r...

Full description

Bibliographic Details
Main Authors: Johannes T Kowallick, Pablo Lamata, Shazia T Hussain, Shelby Kutty, Michael Steinmetz, Jan M Sohns, Martin Fasshauer, Wieland Staab, Christina Unterberg-Buchwald, Boris Bigalke, Joachim Lotz, Gerd Hasenfuß, Andreas Schuster
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4186780?pdf=render
id doaj-4fc0f81a78444ef1853bbebd66983933
record_format Article
spelling doaj-4fc0f81a78444ef1853bbebd669839332020-11-25T02:08:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01910e10916410.1371/journal.pone.0109164Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking.Johannes T KowallickPablo LamataShazia T HussainShelby KuttyMichael SteinmetzJan M SohnsMartin FasshauerWieland StaabChristina Unterberg-BuchwaldBoris BigalkeJoachim LotzGerd HasenfußAndreas SchusterCardiovascular 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.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).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.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.http://europepmc.org/articles/PMC4186780?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Johannes T Kowallick
Pablo Lamata
Shazia T Hussain
Shelby Kutty
Michael Steinmetz
Jan M Sohns
Martin Fasshauer
Wieland Staab
Christina Unterberg-Buchwald
Boris Bigalke
Joachim Lotz
Gerd Hasenfuß
Andreas Schuster
spellingShingle Johannes T Kowallick
Pablo Lamata
Shazia T Hussain
Shelby Kutty
Michael Steinmetz
Jan M Sohns
Martin Fasshauer
Wieland Staab
Christina Unterberg-Buchwald
Boris Bigalke
Joachim Lotz
Gerd Hasenfuß
Andreas Schuster
Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking.
PLoS ONE
author_facet Johannes T Kowallick
Pablo Lamata
Shazia T Hussain
Shelby Kutty
Michael Steinmetz
Jan M Sohns
Martin Fasshauer
Wieland Staab
Christina Unterberg-Buchwald
Boris Bigalke
Joachim Lotz
Gerd Hasenfuß
Andreas Schuster
author_sort Johannes T Kowallick
title 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_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_sort quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description 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.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).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.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.
url http://europepmc.org/articles/PMC4186780?pdf=render
work_keys_str_mv AT johannestkowallick quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT pablolamata quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT shaziathussain quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT shelbykutty quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT michaelsteinmetz quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT janmsohns quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT martinfasshauer quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT wielandstaab quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT christinaunterbergbuchwald quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT borisbigalke quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT joachimlotz quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT gerdhasenfuß quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
AT andreasschuster quantificationofleftventriculartorsionanddiastolicrecoilusingcardiovascularmagneticresonancemyocardialfeaturetracking
_version_ 1724927646054219776