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Among patients with CMR-confirmed MINOCA, higher EATVi was associated with an increased long-term risk of MACE, and the potential influence of metabolic factors and residual confounding requires validation in larger external cohorts.
A fully automatic, multi-task learning framework for LA strain quantification, validated in multi-center two-vendor data, enhances tracking accuracy and speed over prior methods, enabling rapid, scalable atrial function assessment in routine care.
This document addresses the needs for an "ideal" post-processing software for 4D flow in patients with CHD and provides information on general requirements, velocity encoding, offset and aliasing correction, visualization, segmentation and reconstruction as well as output data.
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