Prognostic Value of Global Longitudinal Strain using Automated Measurement in Cardiac MRI

Elena Sofia Canuti; Solenn Toupin; Thomas Hovasse; Francesca Sanguineti; Thierry Unterseeh; Philippe Garot; Stéphane Champagne; Suzanne Duhamel; Mariama Akodad; Antoinette Neylon; Teodora Chițiboi; Puneet Sharma; Trecy Gonçalves; R. Mirailles; Alexandre Unger; Viviana Maestrini; Théo Pezel; Jérôme Garot

doi:10.1148/radiol.241147

Key Points

Automated measurement of global longitudinal strain is associated with major adverse cardiovascular events.
In a cohort of 2,887 patients, GLS reliably indicated risk of MACE related to heart conditions.
This analysis used an AI-based approach to enhance the accuracy of the measurement during cardiac MRI.
The findings suggest that GLS can help improve cardiovascular risk assessment in clinical practice.

Implication

Automated measurement of global longitudinal strain predicts MACE in 2,887 cardiac MRI patients, suggesting its usefulness.

Abstract

The AI-based automated GLS measured in 2,887 consecutive patients undergoing stress cardiac MRI was independently associated with the occurrence of MACE.

Discussion

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Cite This Study

Canuti et al. (2025) studied this question.

synapsesocial.com/papers/68a363510a429f797332a449 https://doi.org/10.1148/radiol.241147

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Prognostic Value of Global Longitudinal Strain using Automated Measurement in Cardiac MRI

Key Points

Implication

Abstract

Discussion

Cite This Study

Prognostic Value of Global Longitudinal Strain using Automated Measurement in Cardiac MRI

Key Points

Implication

Abstract

Discussion

Cite This Study

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