Crainio Non-invasive ICP Monitor for TBI

Traumatic Brain Injury Clinical Trial

Official title:

Crainio Non-invasive Intracranial Pressure Monitor for Traumatic Brain Injury: Product Development

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT06453733
• Other study ID #: 341050
• Status: Not yet recruiting
• Phase: N/A
• Start date: September 15, 2024
• Est. completion date: September 14, 2025

Study information

• Verified date: June 2024
• Source: Crainio Ltda
• Contact: Jeremy Holland, Dr
• Phone: 0779 626 5994
• Email: Jeremy.Holland[@]crainio.com
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

The clinical investigation aims to advance the Crainio device, designed for non-invasive intracranial pressure (ICP) monitoring. This feasibility study involves 54 participants over a 12-month period and seeks to collect cerebral photoplethysmogram signals alongside concurrent invasive ICP measurements in patients with traumatic brain injury. The primary objective is to establish the diagnostic accuracy of the Crainio device, aiming for at least 90% sensitivity and specificity in detecting raised ICP (above 20 mmHg). Secondary objectives include evaluating patient-related factors such as skin tone, skull thickness, and skull density, as well as the tolerability and acceptance of the device by both patients and healthcare professionals.

Description:

Intracranial pressure (ICP) is routinely monitored in patients suffering from traumatic brain injury (TBI). Raised ICP can result in compression of the cerebral vasculature and subsequent reduction in oxygen and nutrient delivery to the brain leading to significant morbidity and mortality. In fact, raised ICP is the most common cause of death in patients with severe TBI. Standard ICP monitoring requires insertion of a cranial bolt into the skull through which an electrical transducer is inserted. Alternatively, an intra-ventricular catheter is inserted through a burr hole. Both of these monitoring methods are associated with risks including haemorrhage and infection, as well as delay in establishing emergency monitoring and limiting it to hospitals that have neurosurgery. There has been much research in recent years to find a method for measuring intracranial pressure noninvasively (nICP), including measurement of pressure in the retinal veins, measurement of eardrum displacement, transcranial Doppler ultrasonography and imaging-based solutions. These methods all require considerable user intervention and are non-continuous. This project aims to collect cerebral photoplethysmogram signals and concurrent invasive ICP measurements from patients with traumatic brain injury to develop Crainio machine learning (ML) algorithms. The core intellectual property (IP) of this continuous external monitoring ICP system was originally developed by academics in the lab of Professor Kyriacou at City, University of London. Crainio is a spin-out company that was created to industrialise and commercialise this research on an exclusive basis. The device comprises a forehead-mounted sensor containing infrared light sources that can illuminate the deep brain tissue of the frontal lobe. Photodetectors in the sensor detect the backscattered light, which is modulated by pulsation of the cerebral arteries. A control unit processes the backscattered light (called the photoplethysmogram, PPG) and transmits it to a computer device to train ML models that estimate an absolute value of ICP. The basic science behind this method for measuring ICP is that changes in the extramural arterial pressure affect the morphology of the recorded optical pulse, so analysis of the acquired signal using an appropriate algorithm will enable calculation of nICP. The reported nICP will provide screening at the triage stage, indicating the need for imaging or rapid intervention (such as haematoma evacuation) and guide head injury management, notably ICP-targeted treatment regimes. Ultimately this could lead to significant improvements in secondary injury-related mortality, length of hospital stay and reduced post-trauma disability. This feasibility study aims to collect the clinical data with which to train the nICP algorithms to the point that they can detect raised intracranial pressure (ICP>20 mmHg) with sufficient sensitivity and specificity that Crainio device can be regulated for clinical use.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 54
• Est. completion date: September 14, 2025
• Est. primary completion date: March 15, 2025
• Accepts healthy volunteers: No
• Gender: All
• Age group: 16 Years to 99 Years

Eligibility

Inclusion Criteria:

• Clinical diagnosis of traumatic brain injury.
• Adults (aged between 16 and 99, male and female)
• TBI patients admitted to the Royal London Hospital.
• Patients having invasive ICP monitoring as part of their normal medical treatment.

Exclusion Criteria:

• Forehead skin is not intact.
• Decompressive craniectomy patients.
• Open external ventricular drainage (EVD) treatment.
• Patients who will unlikely survive the following twelve hours.

Related Conditions & MeSH terms

• Brain Injuries
• Brain Injuries, Traumatic
• Traumatic Brain Injury

Intervention

Device:
• Crainio
Crainio device comprises a forehead-mounted sensor containing infrared light sources that can illuminate the deep brain tissue of the frontal lobe. Photodetectors in the sensor detect the backscattered light, which is modulated by pulsation of the cerebral arteries. A control unit processes the backscattered light (called the photoplethysmogram, PPG) and transmits it to a computer device to train ML models that will estimate ICP offline.

Locations

Country	Name	City	State
United Kingdom	Royal London Hospital	London	England

Sponsors (4)

Lead Sponsor	Collaborator
Crainio Ltda	Barts & The London NHS Trust, City, University of London, Innovate UK

Country where clinical trial is conducted

United Kingdom, 

References & Publications (9)

M. Roldan and P. A. Kyriacou, "A non-Invasive Optical Multimodal Photoplethysmography-Near Infrared Spectroscopy Sensor for Measuring Intracranial Pressure and Cerebral Oxygenation in Traumatic Brain Injury," Appl. Sci., 2023

M. Roldan and P. A. Kyriacou, Head Phantom for the Acquisition of Pulsatile Optical Signals for Traumatic Brain Injury Monitoring, Photonics, vol. 10, no. 5, 2023

Roldan M, Abay TY, Kyriacou PA. Non-Invasive Techniques for Multimodal Monitoring in Traumatic Brain Injury: Systematic Review and Meta-Analysis. J Neurotrauma. 2020 Dec 1;37(23):2445-2453. doi: 10.1089/neu.2020.7266. Epub 2020 Sep 24. — View Citation

Roldan M, Abay TY, Uff C, Kyriacou PA. A pilot clinical study to estimate intracranial pressure utilising cerebral photoplethysmograms in traumatic brain injury patients. Acta Neurochir (Wien). 2024 Feb 27;166(1):109. doi: 10.1007/s00701-024-06002-4. — View Citation

Roldan M, Bradley GRE, Mejia-Mejia E, Abay TY, Kyriacou PA. Non-invasive monitoring of intracranial pressure changes: healthy volunteers study. Front Physiol. 2023 Aug 8;14:1208010. doi: 10.3389/fphys.2023.1208010. eCollection 2023. — View Citation

Roldan M, Chatterjee S, Kyriacou PA. Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:1292-1296. doi: 10.1109/EMBC46164.2021.9630909. — View Citation

Roldan M, Kyriacou PA. Head Phantom Optical Properties Validation for Near-Infrared Measurements: A Comparison with Animal Tissue. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:641-644. doi: 10.1109/EMBC48229.2022.9871103. — View Citation

Roldan M, Kyriacou PA. Near-Infrared Spectroscopy (NIRS) in Traumatic Brain Injury (TBI). Sensors (Basel). 2021 Feb 24;21(5):1586. doi: 10.3390/s21051586. — View Citation

T. Y. Abay, J. P. Phillips, C. Uff, M. Roldan, and P. A. Kyriacou, In Vitro Evaluation of a Non-Invasive Photoplethysmography Based Intracranial Pressure Sensor, Appl. Sci., vol. 13, no. 1, p. 534, Dec. 2022

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Sensitivity	Generate a nICP model offline with a sensitivity above 90% to discriminate ICP values over 20 mmHg.	12 hours record per patient
Primary	Specificity	Generate a nICP model offline with a specificity above 90% to discriminateICP values over 20 mmHg.	12 hours record per patient
Secondary	Skin tone through Fitzpatrick scale	Evaluating the effect on the nICP model of patient-related factors such as the skin tone.	1 classification per patient (3 minutes)
Secondary	Skull thickness through CT scan	Evaluating the effect on the nICP model of patient-related factors such as the skull thickness.	1 measurement per patient (3 minutes)
Secondary	Skull density through Age stratification analysis	Evaluating the effect on the nICP model of patient-related factors such as the skull density.	1 classification per patient (1 minute)
Secondary	Device usability	Customised form to assess the acceptance of the device by the healthcare proffesionals.	1 form per patient (5 minutes)
Secondary	Advers effects and events	Evaluate the device safety by monitoring the development of possible advers effects or events in the patients while data is acquired	12 hours record per patient