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Abstract #3688

Cardiac MR Feature Tracking Derived Strain Analysis can Predict Return to Training following Exertional Heatstroke.

Wen Jing Zhu1 and Jun Zhang1
1Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China

Synopsis

Keywords: High-Field MRI, Heart, feature tracking

Motivation: Exertional heatstroke is increasing in young athletes, making novel biomarkers crucial for predicting RTT

Goal(s): To assess CMRFT-derived myocardial strain's prognostic value in EHS athletes, we compared myocardial strain between EHS athletes, healthy controls, and those with differing RTT abilities, then analyzed its link to RTT.

Approach: Trained athletes with EHS had cardiac MR cine scans, from which 2D LV strain parameters were derived. Non-RTT was defined by persistent cardiac symptoms at 3 months. Predictive RTT models were evaluated via AUC comparison.

Results: A global longitudinal strain (≤ -15.00%) serves as a CMR biomarker predicting training return in EHS athletes.

Impact: This study emphasized the importance of 2D-GLS function in the prognosis of RTT in patients with EHS, and provides a basis for guiding treatment to improve the clinical outcome of patients.

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