Deep learning-based temporal muscle quantification on MRI predicts adverse outcomes in acute ischemic stroke

Stroke is the second-leading cause of death and the third most common cause of disability worldwide [1]. Stroke significantly increases the risk of skeletal muscle loss (known as sarcopenia), which exacerbates disability and worsens functional outcomes. Pre-stroke sarcopenia has also been linked to poorer recovery, thereby underscoring the importance of evaluating muscle mass and function in stroke patients [2–5]. Measuring skeletal muscle mass and function is increasingly recognized as a critic…

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