Early detection and accurate assessment of ischemic stroke (IS) are essential for timely treatment and prognosis evaluation. Conventional bedside and imaging-based approaches, including the National Institutes of Health Stroke Scale (NIHSS), computed tomography (CT), and magnetic resonance imaging (MRI), remain central to acute stroke assessment, but they have important limitations in the hyperacute stage, when neurological deficits may be subtle and structural imaging changes may not yet be fully apparent. Among the metabolic alterations triggered by ischemia, tissue acidosis is particularly informative because pH declines rapidly after cerebral hypoperfusion and may reveal ischemic injury before conventional imaging abnormalities become obvious. In this review, we summarize recent advances in pH-based detection of IS, with emphasis on its potential for early diagnosis and physiologically informed stroke grading. We discuss current clinical and imaging assessment methods, the pathophysiological basis of ischemia-associated acidosis, emerging pH-detection technologies, and the major barriers to clinical translation. Finally, we outline a future perspective in which pH-related information is integrated with perfusion imaging, complementary biomarkers, and artificial intelligence to support a more comprehensive framework for ischemic stroke assessment.
Chen et al. (Wed,) studied this question.