Use of an automatic application for wall motion classification based on longitudinal strain: is it affected by operator expertise in echocardiography? A multicentre study by the Israeli Echocardiography Research Group | Zendy

David S. Blondheim | Zendy; Zeev Friedman | Zendy; Peter Lysyansky | Zendy; Rafael Kuperstein | Zendy; Ilan Hay | Zendy; Micha S. Feinberg | Zendy; Rоnen Beeri | Zendy; Mordehay Vaturi | Zendy; Alexander Sagie | Zendy; Sarah Shimoni | Zendy; Wolfgang Fehske | Zendy; Lisa Deutsch | Zendy; Marina Leitman | Zendy; Dan Gilon | Zendy; Yoram Agmon | Zendy; Y. Tsadok | Zendy; David Rosenmann | Zendy; Noah LielCohen | Zendy

Open Access

Use of an automatic application for wall motion classification based on longitudinal strain: is it affected by operator expertise in echocardiography? A multicentre study by the Israeli Echocardiography Research Group

Author(s) -

David S. Blondheim,

Zeev Friedman,

Peter Lysyansky,

Rafael Kuperstein,

Ilan Hay,

Micha S. Feinberg,

Rоnen Beeri,

Mordehay Vaturi,

Alexander Sagie,

Sarah Shimoni,

Wolfgang Fehske,

Lisa Deutsch,

Marina Leitman,

Dan Gilon,

Yoram Agmon,

Y. Tsadok,

David Rosenmann,

Noah LielCohen

Publication year - 2011

Publication title -

european heart journal - cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.576

H-Index - 92

eISSN - 2047-2412

pISSN - 2047-2404

DOI - 10.1093/ejechocard/jer182

Subject(s) - medicine , reproducibility , nuclear medicine , radiology , artificial intelligence , statistics , mathematics , computer science

Assessing the quality of wall motion (WM) on echocardiograms remains a challenge. Previously, we validated an automated application used by experienced echocardiographers for WM classification based on longitudinal two-dimensional (2D) strain. The aim of this study was to show that the use of this automatic application was independent of the user's experience.

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