Fiber-Optic Intracranial Pressure Monitoring System Using Wi-Fi—An In Vivo Study. Issue 3 (1st March 2023)

• Record Type: Journal Article
• Authors: da Silva Junior, Erasmo Barros; Hamasaki, Eder Eidi; Smaili, Hamzah Youssef; Wozniak, Arthur; Tristão, Enézio Satoru Yoshida; Loureiro, Marcelo de Paula; Milano, Jerônimo Buzetti; de Meneses, Murilo Sousa; de Oliveira, Rafael Martinelli; Ramina, Ricardo
• Is Part Of: Neurosurgery. Volume 92:Issue 3(2023)
• Page Start: 647
• Page End: 656
• Publication Date: 2023-03-01
• Subjects: Fiber-optic -- Intracranial pressure -- Intraparenchymal -- Swine model -- Telemetry -- Wireless monitoring; Nervous system -- Surgery -- Periodicals; 617.48005
• DOI: 10.1227/neu.0000000000002250
• Languages: English
• ISSNs: 0148-396X

Abstract

Abstract : BACKGROUND: Continuous invasive monitoring of intracranial pressure (ICP) is essential in neurocritical care for surveillance and management of raised ICP. Fluid-based systems and strain gauge microsensors remain the current standard. In the past few decades, several studies with wireless monitoring were developed aiming to reduce invasiveness and complications. OBJECTIVE: To describe a novel Wi-Fi fiber-optic device for continuous ICP monitoring using smartphone in a swine model. METHODS: Two ICP sensors (wireless prototype and wire-based reference) were implanted in the cerebral parenchyma of a swine model for a total of 120 minutes of continuous monitoring. Every 5 minutes, jugular veins compression was performed to evaluate ICP changes. The experimentation was divided in 3 phases for comparison and analysis. RESULTS: Phase 1 showed agreement in ICP changes for both sensors during jugular compression and releasing, with a positive and strong Spearman correlation (r = 0.829, P < .001). Phase 2 started after inversion of the sensors in the burr holes; there was a positive and moderately weak Spearman correlation (r = 0.262, P < .001). For phase 3, the sensors were returned to the first burr holes; the prototype behaved similarly to the reference sensor, presenting a positive and moderately strong Spearman correlation (r = 0.669, P < .001). CONCLUSION: A Wi-Fi ICP monitoring system was demonstrated in a comprehensive and feasible way. It was possible to observe, using smartphone, an adequate correlation regarding ICP variations. Further adaptations are already being developed.