Clinical translation of intracranial pressure sensing with diffuse correlation spectroscopy

Current standard-of-care methods for measuring intracranial pressure (ICP) are highly invasive. To overcome this limitation, we recently demonstrated non-invasive quantification of ICP in an animal model using morphological analysis of the pulsatile cerebral blood flow (CBF) measured with Diffuse Correlation Spectroscopy. Here, we present results from a pilot study in pediatric patients admitted to an intensive care unit. We show that the CBF pulsatile waveform changes with ICP. Using a regression forest-based machine learning algorithm on a cohort of patients (n>15) we demonstrate that ICP extraction in humans can be possible, suggesting the potential for successful clinical translation in future.