Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach

Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach

Abstract Cardiac magnetic resonance (CMR) imaging has become an important technique for non-invasive diagnosis of takotsubo syndrome (TTS). The long-term prognostic value of CMR imaging in TTS has not been fully elucidated yet. This study sought to evaluate the prognostic value of texture analysis (...

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Bibliographic Details
Main Authors: Manoj Mannil, Ken Kato, Robert Manka, Jochen von Spiczak, Benjamin Peters, Victoria L. Cammann, Christoph Kaiser, Stefan Osswald, Thanh Ha Nguyen, John D. Horowitz, Hugo A. Katus, Frank Ruschitzka, Jelena R. Ghadri, Hatem Alkadhi, Christian Templin
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/8b9558fcbb414f078925eee1ae9987cc
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https://doaj.org/article/8b9558fcbb414f078925eee1ae9987cc

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