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Echo Res Pract. 2018 Jun;5(2):63-69. doi: 10.1530/ERP-18-0006. Epub 2018 Mar 21.

Assessment of LVEF using a new 16-segment wall motion score in echocardiography.

Echo research and practice

Real Lebeau, Karim Serri, Maria Di Lorenzo, Claude Sauvé, Van Hoai Viet Le, Vicky Soulières, Malak El-Rayes, Maude Pagé, Chimène Zaïani, Jérôme Garot, Frédéric Poulin

Affiliations

  1. Hôpital du Sacré-Coeur de Montréal, Université de Montréal, Montréal, Canada.
  2. Institut cardiovasculaire Paris Sud, Massy, France.

PMID: 29628446 PMCID: PMC5887066 DOI: 10.1530/ERP-18-0006

Abstract

BACKGROUND: Simpson biplane method and 3D by transthoracic echocardiography (TTE), radionuclide angiography (RNA) and cardiac magnetic resonance imaging (CMR) are the most accepted techniques for left ventricular ejection fraction (LVEF) assessment. Wall motion score index (WMSI) by TTE is an accepted complement. However, the conversion from WMSI to LVEF is obtained through a regression equation, which may limit its use. In this retrospective study, we aimed to validate a new method to derive LVEF from the wall motion score in 95 patients.

METHODS: The new score consisted of attributing a segmental EF to each LV segment based on the wall motion score and averaging all 16 segmental EF into a global LVEF. This segmental EF score was calculated on TTE in 95 patients, and RNA was used as the reference LVEF method. LVEF using the new segmental EF 15-40-65 score on TTE was compared to the reference methods using linear regression and Bland-Altman analyses.

RESULTS: The median LVEF was 45% (interquartile range 32-53%; range from 15 to 65%). Our new segmental EF 15-40-65 score derived on TTE correlated strongly with RNA-LVEF (

CONCLUSION: LVEF assessment using segmental EF derived from the wall motion score applied to each of the 16 LV segments has excellent correlation and agreement with a reference method.

© 2018 The authors.

Keywords: left ventricular ejection fraction; radionuclide angiography; transthoracic echocardiography; wall motion score

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