Left ventricular contraction pattern changes with age in normal adults☆☆☆★

Wandt, Birger; Bojö, Leif; Hatle, Liv; Wranne, Bengt

doi:10.1016/s0894-7317(98)70005-7

Cited by 52 publications

(33 citation statements)

References 29 publications

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“…Long-axis function of the heart has not previously been analyzed with CMR. There have been reports based on the assessment of mitral annular and regional myocardial velocities using Doppler tissue imaging and M-mode echocardiography which suggest impairment of longitudinal component of LV systolic function with age [6,21,22,36] consistent with our CMR-based findings. Sex does not seem to play a role in these age-associated functional adjustments.…”

Section: Global and Longitudinal Left Ventricular Functionsupporting

confidence: 90%

Left ventricular morphology, global and longitudinal function in normal older individuals: A cardiac magnetic resonance study

Nikitin

Loh

Silva

et al. 2006

International Journal of Cardiology

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Section: Global and Longitudinal Left Ventricular Functionsupporting

confidence: 90%

Left ventricular morphology, global and longitudinal function in normal older individuals: A cardiac magnetic resonance study

Nikitin

Loh

Silva

et al. 2006

International Journal of Cardiology

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“…Previous studies have shown that LVEF at rest in adults is unchanged or increased slightly with advancing age [30][31][32]. However, the long axis, as reflected by mitral ring motion, decreases by up to 20 %, whereas the short axis increases by up to 18 %, with increasing age in normal adults [33]. These changes are independent of systolic blood pressure, LV wall thickness, heart rate or sex.…”

Section: Discussionmentioning

confidence: 83%

Left ventricular long-axis changes in early diastole and systole: impact of systolic function on diastole

et al. 2002

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Impaired long-axis motion is a sensitive marker of systolic myocardial dysfunction, but no data are available that relate long-axis changes in systole with those in diastole, particularly in subjects with diastolic dysfunction and a 'normal' left ventricular (LV) ejection fraction. A total of 311 subjects (including 105 normal healthy volunteers) aged 20-89 years with variable degrees of systolic function (LV ejection fraction range 0.15-0.84) and diastolic function were studied using tissue Doppler echocardiography and M-mode echocardiography to determine mean mitral annular amplitude and peak velocity in systole and early and late diastole. The LV systolic mitral annular amplitude (S(LAX), where LAX is long-axis amplitude) and peak velocity (S(m)) correlated well with the respective early diastolic components (E(LAX) and E(m)) and late diastolic (atrial) components (A(LAX) and A(m)). A non-linear equation fitted better than a linear relationship (non-linear model: S(LAX) against E(LAX), r(2)=0.67; S(m) against E(m), r(2)=0.60; S(LAX) against A(LAX) and S(m) against A(m), r(2)=0.42). After adjusting for age, sex and heart rate, linear relationships of early diastolic (E(LAX), r(2)=0.70; E(m), r(2)=0.60) and late diastolic (A(LAX), r(2)=0.61; A(m), r(2)=0.64) long-axis amplitudes and velocities with the respective values for S(LAX) and S(m) were found, even in those subjects with apparently 'isolated' diastolic dysfunction. Long-axis changes in systole or diastole did not correlate with Doppler mitral velocities. We conclude that ventricular long-axis changes in early diastole are closely related to systolic function, even in subjects with diastolic dysfunction. 'Pure' or isolated diastolic dysfunction is uncommon.

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“…Acquiring images from a physical phantom, we reduce acquisition artifacts hence providing a higher quality ground-truth. Acquiring images from young volunteers, we increase the realism of the datasets while representing healthy cardiac deformation (Wandt et al, 1998;Sutherland et al, 2006). Once we can assure that healthy deformation can be correctly quantified by the algorithms, researchers can move further towards identification of pathological deformation from a new set of unseen data.…”

Section: Databasementioning

confidence: 99%

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Tobon-Gómez

Craene

McLeod

et al. 2013

Medical Image Analysis

152

163

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In this paper we present a benchmarking framework for the validation of cardiac motion analysis algorithms. The reported methods are the response to an open challenge that was put to the medical imaging community through a MICCAI workshop. The database included magnetic resonance (MR) and 3D ultrasound (3DUS) datasets from a dynamic phantom and 15 healthy volunteers. Participants processed 3D tagged MR datasets (3DTAG), cine steady state free precession MR datasets (SSFP) and 3DUS datasets, amounting to 1158 image volumes. Ground-truth for motion tracking was based on 12 landmarks (4 walls at 3 ventricular levels). They were manually tracked by two observers in the 3DTAG data over the whole cardiac cycle, using an in-house application with 4D visualization capabilities. The median of the inter-observer variability was computed for the phantom dataset (0.77mm) and for the volunteer datasets (0.84mm). The ground-truth was registered to 3DUS coordinates using a point based similarity transform. Four institutions responded to the challenge by providing motion estimates for the data: Fraunhofer MEVIS (MEVIS), Bremen, Germany; Imperial College London -University College London (IUCL), UK; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Inria-Asclepios project (INRIA), France. Details on the implementation and evaluation of the four methodologies are presented in this manuscript. The manually tracked landmarks were used to evaluate tracking accuracy of all methodologies. For 3DTAG, median values were computed over all time frames for the phantom dataset (MEVIS=1.20mm, IUCL=0.73mm, UPF=1.10mm, INRIA=1.09mm) and for the volunteer datasets (MEVIS=1.33mm, IUCL=1.52mm, UPF=1.09mm, INRIA=1.32mm). For 3DUS, median values were computed at end diastole and end systole for the phantom dataset (MEVIS=4.40mm, UPF=3.48mm, INRIA=4.78mm) and for the volunteer datasets (MEVIS=3.51mm, UPF=3.71mm, INRIA=4.07mm). For SSFP, median values were computed at end diastole and end systole for the phantom dataset (UPF=6.18mm, INRIA=3.93mm) and for the volunteer datasets (UPF=3.09mm, INRIA=4.78mm). Finally, strain curves were generated and qualitatively compared. Good agreement was found between the different modalities and methodologies, except for radial strain that showed a high variability in cases of lower image quality.

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Left ventricular contraction pattern changes with age in normal adults☆☆☆★

Cited by 52 publications

References 29 publications

Left ventricular morphology, global and longitudinal function in normal older individuals: A cardiac magnetic resonance study

Left ventricular morphology, global and longitudinal function in normal older individuals: A cardiac magnetic resonance study

Left ventricular long-axis changes in early diastole and systole: impact of systolic function on diastole

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

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