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

43Citations
Citations of this article
82Readers
Mendeley users who have this article in their library.

Abstract

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). 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. 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-1s-1,-46.9=15.0°cm-1s-1, -68.9±32.3°cm-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.

Figures

  • Figure 1. 3 D model of LV rotational displacement. Rotation between time points (angular difference between red and green contours) is computed in each slice, and it is then linearly interpolated between slices. The 3D ventricular model is automatically fitted to the contours [48] and is used here only for illustration purposes, and not for the definition of the location of the most apical and basal points. doi:10.1371/journal.pone.0109164.g001
  • Figure 2. Evaluation of rotation. Rotational displacement (degrees) of 48 voxels was tracked throughout the cardiac cycle (left). Left ventricular torsion (u cm21) was calculated as the difference in counter-clockwise (positive) apical rotation and clockwise (negative) rotation at the base, divided by the inter-slice distance (right). doi:10.1371/journal.pone.0109164.g002
  • Figure 3. Definitions to calculate torsion. CMR feature tracking was performed in all slices of a short-axis stack. Four models (1–4) to calculate torsion were evaluated. Left ventricular (LV) torsion was calculated as the difference in counter-clockwise apical rotation (wapex) and clockwise rotation at the base (wbase), divided by the inter-slice distance (D). The rotation of points at 0% (w0%) and 100% (w100%) distance correspond to the most apical and most basal levels. The rotation of points at 25% (w25%) and 75% (w75%) distance correspond to points that are typically located in between slices (linearly interpolated from adjacent slices). This approach allows generating constant distances (D1-D4) between corresponding apical and basal slices independently of varying cardiac anatomy. doi:10.1371/journal.pone.0109164.g003
  • Table 1. Subject characteristics.
  • Table 2. Volumetric and hemodynamic response to 10 and 20 mg kg21min21 of dobutamine.
  • Table 3. Torsion and recoil rate.
  • Figure 4. Torsion and recoil rate during dobutamine stress. Torsion and recoil rate (blue: subendocardial; red: subepicardial, black: global) as derived using model 1 (25–75%) in comparison between rest and increasing levels of dobutamine. A p-value ,0.05 was considered statistically significant. doi:10.1371/journal.pone.0109164.g004

Cited by Powered by Scopus

Get full text

This article is free to access.

This article is free to access.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kowallick, J. T., Lamata, P., Hussain, S. T., Kutty, S., Steinmetz, M., Sohns, J. M., … Schuster, A. (2014). Quantification of left ventricular torsion and diastolic recoil using cardiovascular magnetic resonance myocardial feature tracking. PLoS ONE, 9(10). https://doi.org/10.1371/journal.pone.0109164

Readers over time

‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘2405101520

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 27

49%

Researcher 20

36%

Professor / Associate Prof. 5

9%

Lecturer / Post doc 3

5%

Readers' Discipline

Tooltip

Medicine and Dentistry 33

62%

Engineering 13

25%

Nursing and Health Professions 4

8%

Agricultural and Biological Sciences 3

6%

Save time finding and organizing research with Mendeley

Sign up for free
0