4.1 Article

Repeatability and Agreement of Real Time Three-dimensional Echocardiography Measurements of Left Ventricular Mass and Synchrony in Young Patients

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WILEY
DOI: 10.1111/echo.12672

关键词

left ventricular mass; synchrony; three-dimensional echocardiography

资金

  1. Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre
  2. King's College London and King's College Hospital NHS Foundation Trust

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BackgroundLeft ventricular mass (LVM) and synchrony have prognostic value for many cardiovascular disease states. We report the agreement and repeatability of LVM estimation by three-dimensional (3D) versus M-mode and repeatability of 3D estimation of systolic dyssynchrony. Methods3DLVM was computed by subtraction of endocardial from epicardial volume X1.05 both at end-diastole and end-systole. M-mode measurements were made at end-diastole. This prospective study comprised 40 subjects, 20 patients with chronic kidney disease or treated neuroblastoma and 20 healthy individuals. The median age was 17 (range 6-29years). ResultsIntra- and inter-observer intraclass correlation was excellent for 3D systolic LVM (0.99, 0.87), 3D diastolic LVM (0.99, 0.93), M-mode LVM (0.88, 0.93), moderate for 16-segment SDI (0.77, 062), moderate to low for 12-segment SDI (0.48, 0.73), and 6-segment SDI (0.37, 0.69). The median (range) LVM measurement for 3D diastolic LVM was 125g (50-253), 3D systolic LVM 109g (40-195), and M-mode LVM 115 g (range 40-207). There was a significant bias for diastolic 3DLVM to be higher than systolic 3D or M-mode. Limits of agreement between methods were wide. The median (range) systolic dyssynchrony measurements were 2.0 (0.4-7.0), 1.5 (0.3-4.3), and 1.4 (0.3-4.5) for 16-segment, 12-segment, and 6-segment models, respectively. Conclusion3D and M-mode measurement of LVM are highly repeatable. Measurement bias and wide limits of agreement mean that the same echocardiographic technique should be used during follow-up. Measurement of 3D systolic dyssynchrony is most repeatable using a 16-segment model.

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