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| Name | Class |
|---|---|
| City, University of London | OTHER |
| Barts & The London NHS Trust | OTHER |
| National Institute for Health Research, United Kingdom | OTHER_GOV |
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Researchers have developed a probe that contains infrared light sources that can illuminate the deep brain tissue of the frontal lobe. Photodetectors in the probe detect the backscattered light, which is modulated by pulsation of the cerebral arteries. Changes in the extramural arterial pressure affect the morphology of the recorded optical pulse, so analysis of the acquired signal using an appropriate algorithm could enable the calculation of the intracranial pressure noninvasively (nICP), which would be displayed to clinicians continuously.
This pilot study is the first evaluation of the device in patients in who the gold standard comparator of invasive ICP was available. The acquisition of pulsatile optical signals was performed for up to 48 hours in each of the 40 patients who were undergoing invasive ICP monitoring as part of their normal medical treatment.
Features of the optical signals would be analysed offline. A machine vector support algorithm would be implemented, with the aim of estimating ICP noninvasively and compared to the gold standard of synchronously acquired invasive ICP data.
Traumatic brain injury (TBI) is the most common cause of death and disability in the under 40 age group both in the United Kingdom and worldwide, and prevalence is increasing. The mainstay of severe TBI management is intracranial pressure (ICP) measurement. ICP is defined as the pressure within the skull and brain. TBI often causes a rise in ICP as the brain swells within the rigid skull and therapy is directed at keeping this pressure at an acceptable level with medications or surgery. Very high ICP may lead to further brain damage resulting in increased disability or death.
Existing techniques to measure ICP involve placing an electrical sensor into the brain tissue through a small hole drilled in the skull. This procedure risks infection and bleeding into the brain and can only be performed by a neurosurgeon. Therefore, there is a vital demand to develop non-invasive technologies that will allow measuring the ICP without inserting a sensor in the brain. This technology will decrease the risks, permit monitoring outside the hospital (eg in an ambulance) and reduce the costs. It will also increase the indication for ICP monitoring to include other conditions (e.g. stroke or brain tumours) which are not currently monitored.
The proposed non-invasive ICP (nICP) monitor works by shining a harmless light into the brain through the skull. The developed sensor was attached to the skin of the forehead and recorded optical signals (known as photoplethysmography (PPG)) from the brain, which are related to changes in the ICP. This pilot aims to build the first clinical database of nICP signals in intensive care patients. The acquisition of an extensive set of signals would allow the generation of advanced algorithms and Machine Learning (ML) models utilising optical signal feature extraction techniques. The resulting model will be implemented in translating the optical signals into absolute measurements of ICP.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| TBI-ICP monitoring | Experimental | Optical signals acquisition from the nICP probe stuck to the patient's forehead |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| nICP | Device | The nICP probe contains infrared light sources that illuminate the deep brain tissue of the frontal lobe. Photodetectors in the probe detect the backscattered light, which is modulated by pulsation of the cerebral arteries. |
| Measure | Description | Time Frame |
|---|---|---|
| Machine learning model agreement | Bland-Altman limits of agreement between the offline estimation of nICP and the invasive ICP measurements | 48 hours record per patient |
| Measure | Description | Time Frame |
|---|---|---|
| Machine learning model diagnostic accuracy | Sensitivity and specificity of the offline nICP estimation to identify ICP values over 20 mmHg | 48 hours record per patient |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Christopher Uff, FRCS | Consultant Neurosurgeon (Royal London Hosptial) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal London Hospital | London | England | E1 1BB | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31944644 | Background | Head injury: assessment and early management. London: National Institute for Health and Care Excellence (NICE); 2019 Sep. Available from http://www.ncbi.nlm.nih.gov/books/NBK552670/ | |
| 27884843 | Background | Lawrence T, Helmy A, Bouamra O, Woodford M, Lecky F, Hutchinson PJ. Traumatic brain injury in England and Wales: prospective audit of epidemiology, complications and standardised mortality. BMJ Open. 2016 Nov 24;6(11):e012197. doi: 10.1136/bmjopen-2016-012197. |
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Only the final results of the nICP safety and accuracy would be published. Any individual participant data would be available to other researchers.
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| ID | Term |
|---|---|
| D000070642 | Brain Injuries, Traumatic |
| D019586 | Intracranial Hypertension |
| ID | Term |
|---|---|
| D001930 | Brain Injuries |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| 22720148 | Background | Raboel PH, Bartek J Jr, Andresen M, Bellander BM, Romner B. Intracranial Pressure Monitoring: Invasive versus Non-Invasive Methods-A Review. Crit Care Res Pract. 2012;2012:950393. doi: 10.1155/2012/950393. Epub 2012 Jun 8. |
| 26690122 | Background | Kawoos U, McCarron RM, Auker CR, Chavko M. Advances in Intracranial Pressure Monitoring and Its Significance in Managing Traumatic Brain Injury. Int J Mol Sci. 2015 Dec 4;16(12):28979-97. doi: 10.3390/ijms161226146. |
| 31367614 | Background | Nag DS, Sahu S, Swain A, Kant S. Intracranial pressure monitoring: Gold standard and recent innovations. World J Clin Cases. 2019 Jul 6;7(13):1535-1553. doi: 10.12998/wjcc.v7.i13.1535. |
| 34891522 | Background | 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. |
| 33668311 | Background | 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. |
| 32821023 | Background | 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. |
| 38409283 | Derived | 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. |
| D006259 |
| Craniocerebral Trauma |
| D020196 | Trauma, Nervous System |
| D014947 | Wounds and Injuries |