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Fattorello Salimbeni A, Kulyk C, Favruzzo F, De Rosa L, Viaro F, Pieroni A, Mozzetta S, Vosko MR, Baracchini C. Robotic Assisted Transcranial Doppler Monitoring in Acute Neurovascular Care: A Feasibility and Safety Study. Neurocrit Care 2024:10.1007/s12028-024-02121-z. [PMID: 39300038 DOI: 10.1007/s12028-024-02121-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 08/28/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Transcranial color Doppler (TCD) is currently the only noninvasive bedside tool capable of providing real-time information on cerebral hemodynamics. However, being operator dependent, TCD monitoring is not feasible in many institutions. Robotic assisted TCD (ra-TCD) was recently developed to overcome these constraints. The aim of this study was to evaluate the safety and feasibility of cerebral monitoring with a novel ra-TCD in acute neurovascular care. METHODS This is a two-center prospective study conducted between August 2021 and February 2022 at Padua University Hospital (Padua, Italy) and Kepler University Hospital (Linz, Austria). Adult patients with conditions impacting cerebral hemodynamics or patients undergoing invasive procedures affecting cerebral hemodynamics were recruited for prolonged monitoring (> 30 min) of the middle cerebral artery with a novel ra-TCD (NovaGuide Intelligent Ultrasound, NeuraSignal, Los Angeles, CA). Manual TCD was also performed for comparison by an experienced operator. Feasibility and safety rates were recorded. RESULTS A total of 92 patients (age: mean 68.5 years, range 36-91; sex: male 57 [62%]) were enrolled in the two centers: 54 in Padua, 38 in Linz. The examination was feasible in the majority of patients (85.9%); the head cradle design and its radiopacity hindered its use during carotid endarterectomy and mechanical thrombectomy. Regarding safety, only one patient (1.1%) reported a minor local edema due to prolonged probe pressure. Velocity values were similar between ra-TCD and manual TCD. CONCLUSIONS This novel ra-TCD showed an excellent safety and feasibility and proved to be as reliable as manual TCD in detecting blood flow velocities. These findings support its wider use for cerebral hemodynamics monitoring in acute neurovascular care. However, further technical improvements are needed to expand the range of applicable settings.
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Affiliation(s)
- Alvise Fattorello Salimbeni
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy.
| | - Caterina Kulyk
- Stroke Unit and Neurosonology Laboratory, Department of Neurology, Kepler University Hospital GmbH, Johannes Kepler University, Linz, Austria
| | - Francesco Favruzzo
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy
| | - Ludovica De Rosa
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy
| | - Federica Viaro
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy
| | - Alessio Pieroni
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy
| | - Stefano Mozzetta
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy
| | - Milan R Vosko
- Stroke Unit and Neurosonology Laboratory, Department of Neurology, Kepler University Hospital GmbH, Johannes Kepler University, Linz, Austria
| | - Claudio Baracchini
- Stroke Unit and Neurosonology Laboratory, Department of Neuroscience, University of Padua School of Medicine, Via Giustiniani 2, Padua, Italy
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Zoerle T, Beqiri E, Åkerlund CAI, Gao G, Heldt T, Hawryluk GWJ, Stocchetti N. Intracranial pressure monitoring in adult patients with traumatic brain injury: challenges and innovations. Lancet Neurol 2024; 23:938-950. [PMID: 39152029 DOI: 10.1016/s1474-4422(24)00235-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 05/15/2024] [Accepted: 05/28/2024] [Indexed: 08/19/2024]
Abstract
Intracranial pressure monitoring enables the detection and treatment of intracranial hypertension, a potentially lethal insult after traumatic brain injury. Despite its widespread use, robust evidence supporting intracranial pressure monitoring and treatment remains sparse. International studies have shown large variations between centres regarding the indications for intracranial pressure monitoring and treatment of intracranial hypertension. Experts have reviewed these two aspects and, by consensus, provided practical approaches for monitoring and treatment. Advances have occurred in methods for non-invasive estimation of intracranial pressure although, for now, a reliable way to non-invasively and continuously measure intracranial pressure remains aspirational. Analysis of the intracranial pressure signal can provide information on brain compliance (ie, the ability of the cranium to tolerate volume changes) and on cerebral autoregulation (ie, the ability of cerebral blood vessels to react to changes in blood pressure). The information derived from the intracranial pressure signal might allow for more individualised patient management. Machine learning and artificial intelligence approaches are being increasingly applied to intracranial pressure monitoring, but many obstacles need to be overcome before their use in clinical practice could be attempted. Robust clinical trials are needed to support indications for intracranial pressure monitoring and treatment. Progress in non-invasive assessment of intracranial pressure and in signal analysis (for targeted treatment) will also be crucial.
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Affiliation(s)
- Tommaso Zoerle
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Cecilia A I Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden; Function Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - Guoyi Gao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Thomas Heldt
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Gregory W J Hawryluk
- Cleveland Clinic Akron General Hospital, Uniformed Services University, Cleveland, OH, USA
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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Röhrs KJ, Audebert H. Pre-Hospital Stroke Care beyond the MSU. Curr Neurol Neurosci Rep 2024; 24:315-322. [PMID: 38907812 PMCID: PMC11258185 DOI: 10.1007/s11910-024-01351-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2024] [Indexed: 06/24/2024]
Abstract
PURPOSE OF REVIEW Mobile stroke units (MSU) have established a new, evidence-based treatment in prehospital stroke care, endorsed by current international guidelines and can facilitate pre-hospital research efforts. In addition, other novel pre-hospital modalities beyond the MSU are emerging. In this review, we will summarize existing evidence and outline future trajectories of prehospital stroke care & research on and off MSUs. RECENT FINDINGS The proof of MSUs' positive effect on patient outcomes is leading to their increased adoption in emergency medical services of many countries. Nevertheless, prehospital stroke care worldwide largely consists of regular ambulances. Advancements in portable technology for detecting neurocardiovascular diseases, telemedicine, AI and large-scale ultra-early biobanking have the potential to transform prehospital stroke care also beyond the MSU concept. The increasing implementation of telemedicine in emergency medical services is demonstrating beneficial effects in the pre-hospital setting. In synergy with telemedicine the exponential growth of AI-technology is already changing and will likely further transform pre-hospital stroke care in the future. Other promising areas include the development and validation of miniaturized portable devices for the pre-hospital detection of acute stroke. MSUs are enabling large-scale screening for ultra-early blood-based biomarkers, facilitating the differentiation between ischemia, hemorrhage, and stroke mimics. The development of suitable point-of-care tests for such biomarkers holds the potential to advance pre-hospital stroke care outside the MSU-concept. A multimodal approach of AI-supported telemedicine, portable devices and blood-based biomarkers appears to be an increasingly realistic scenario for improving prehospital stroke care in regular ambulances in the future.
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Affiliation(s)
- Kian J Röhrs
- Department of Neurology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Heinrich Audebert
- Department of Neurology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
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Favilla CG, Baird GL, Grama K, Konecky S, Carter S, Smith W, Gitlevich R, Lebron-Cruz A, Yodh AG, McTaggart RA. Portable cerebral blood flow monitor to detect large vessel occlusion in patients with suspected stroke. J Neurointerv Surg 2024:jnis-2024-021536. [PMID: 38514189 DOI: 10.1136/jnis-2024-021536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Early detection of large vessel occlusion (LVO) facilitates triage to an appropriate stroke center to reduce treatment times and improve outcomes. Prehospital stroke scales are not sufficiently sensitive, so we investigated the ability of the portable Openwater optical blood flow monitor to detect LVO. METHODS Patients were prospectively enrolled at two comprehensive stroke centers during stroke alert evaluation within 24 hours of onset with National Institutes of Health Stroke Scale (NIHSS) score ≥2. A 70 s bedside optical blood flow scan generated cerebral blood flow waveforms based on relative changes in speckle contrast. Anterior circulation LVO was determined by CT angiography. A deep learning model trained on all patient data using fivefold cross-validation and learned discriminative representations from the raw speckle contrast waveform data. Receiver operating characteristic (ROC) analysis compared the Openwater diagnostic performance (ie, LVO detection) with prehospital stroke scales. RESULTS Among 135 patients, 52 (39%) had an anterior circulation LVO. The median NIHSS score was 8 (IQR 4-14). The Openwater instrument had 79% sensitivity and 84% specificity for the detection of LVO. The rapid arterial occlusion evaluation (RACE) scale had 60% sensitivity and 81% specificity and the Los Angeles motor scale (LAMS) had 50% sensitivity and 81% specificity. The binary Openwater classification (high-likelihood vs low-likelihood) had an area under the ROC (AUROC) of 0.82 (95% CI 0.75 to 0.88), which outperformed RACE (AUC 0.70; 95% CI 0.62 to 0.78; P=0.04) and LAMS (AUC 0.65; 95% CI 0.57 to 0.73; P=0.002). CONCLUSIONS The Openwater optical blood flow monitor outperformed prehospital stroke scales for the detection of LVO in patients undergoing acute stroke evaluation in the emergency department. These encouraging findings need to be validated in an independent test set and the prehospital environment.
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Affiliation(s)
- Christopher G Favilla
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Grayson L Baird
- Department of Interventional Radiology, Brown University, Providence, Rhode Island, USA
| | | | | | - Sarah Carter
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Wendy Smith
- Department of Diagnostic Imaging, Lifespan Health System, Providence, Rhode Island, USA
| | - Rebecca Gitlevich
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alexa Lebron-Cruz
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Arjun G Yodh
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ryan A McTaggart
- Department of Interventional Radiology, Brown University, Providence, Rhode Island, USA
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Thilak S, Brown P, Whitehouse T, Gautam N, Lawrence E, Ahmed Z, Veenith T. Diagnosis and management of subarachnoid haemorrhage. Nat Commun 2024; 15:1850. [PMID: 38424037 PMCID: PMC10904840 DOI: 10.1038/s41467-024-46015-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
Aneurysmal subarachnoid haemorrhage (aSAH) presents a challenge to clinicians because of its multisystem effects. Advancements in computed tomography (CT), endovascular treatments, and neurocritical care have contributed to declining mortality rates. The critical care of aSAH prioritises cerebral perfusion, early aneurysm securement, and the prevention of secondary brain injury and systemic complications. Early interventions to mitigate cardiopulmonary complications, dyselectrolytemia and treatment of culprit aneurysm require a multidisciplinary approach. Standardised neurological assessments, transcranial doppler (TCD), and advanced imaging, along with hypertensive and invasive therapies, are vital in reducing delayed cerebral ischemia and poor outcomes. Health care disparities, particularly in the resource allocation for SAH treatment, affect outcomes significantly, with telemedicine and novel technologies proposed to address this health inequalities. This article underscores the necessity for comprehensive multidisciplinary care and the urgent need for large-scale studies to validate standardised treatment protocols for improved SAH outcomes.
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Affiliation(s)
- Suneesh Thilak
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Poppy Brown
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Tony Whitehouse
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK
| | - Nandan Gautam
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Errin Lawrence
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK
| | - Zubair Ahmed
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK
- Centre for Trauma Sciences Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Tonny Veenith
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.
- Centre for Trauma Sciences Research, University of Birmingham, Birmingham, B15 2TT, UK.
- Department of Critical Care Medicine and Anaesthesia, The Royal Wolverhampton NHS Foundation Trust, New Cross Hospital, Wolverhampton, WV10 0QP, UK.
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Ryalino C, Sahinovic MM, Drost G, Absalom AR. Intraoperative monitoring of the central and peripheral nervous systems: a narrative review. Br J Anaesth 2024; 132:285-299. [PMID: 38114354 DOI: 10.1016/j.bja.2023.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 11/03/2023] [Accepted: 11/03/2023] [Indexed: 12/21/2023] Open
Abstract
The central and peripheral nervous systems are the primary target organs during anaesthesia. At the time of the inception of the British Journal of Anaesthesia, monitoring of the central nervous system comprised clinical observation, which provided only limited information. During the 100 yr since then, and particularly in the past few decades, significant progress has been made, providing anaesthetists with tools to obtain real-time assessments of cerebral neurophysiology during surgical procedures. In this narrative review article, we discuss the rationale and uses of electroencephalography, evoked potentials, near-infrared spectroscopy, and transcranial Doppler ultrasonography for intraoperative monitoring of the central and peripheral nervous systems.
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Affiliation(s)
- Christopher Ryalino
- Department of Anaesthesiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Marko M Sahinovic
- Department of Anaesthesiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Gea Drost
- Department of Neurology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands; Department of Neurosurgery, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Anthony R Absalom
- Department of Anaesthesiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
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Rubin MN, Shah R, Devlin T, Youn TS, Waters MF, Volpi JJ, Stayman A, Douville CM, Lowenkopf T, Tsivgoulis G, Alexandrov AV. Robot-Assisted Transcranial Doppler Versus Transthoracic Echocardiography for Right to Left Shunt Detection. Stroke 2023; 54:2842-2850. [PMID: 37795589 PMCID: PMC10589435 DOI: 10.1161/strokeaha.123.043380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/14/2023] [Accepted: 08/10/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Right to left shunt (RLS), including patent foramen ovale, is a recognized risk factor for stroke. RLS/patent foramen ovale diagnosis is made by transthoracic echocardiography (TTE), which is insensitive, transesophageal echocardiography, which is invasive, and transcranial Doppler (TCD), which is noninvasive and accurate but scarce. METHODS We conducted a prospective, single-arm device clinical trial of robot-assisted TCD (raTCD) versus TTE for RLS diagnosis at 6 clinical sites in patients who presented with an event suspicious for embolic cerebrovascular ischemia from October 6, 2020 to October 20, 2021. raTCD was performed with standard TCD bubble study technique. TTE bubble study was performed per local standards. The primary outcome was rate of RLS detection by raTCD versus TTE. RESULTS A total of 154 patients were enrolled, 129 evaluable (intent to scan) and 121 subjects had complete data per protocol. In the intent to scan cohort, mean age was 60±15 years, 47% were women, and all qualifying events were diagnosed as ischemic stroke or transient ischemic attack. raTCD was positive for RLS in 82 subjects (64%) and TTE was positive in 26 (20%; absolute difference 43.4% [95% CI, 35.2%-52.0%]; P<0.001). On prespecified secondary analysis, large RLS was detected by raTCD in 35 subjects (27%) versus 13 (10%) by TTE (absolute difference 17.0% [95% CI, 11.5%-24.5%]; P<0.001). There were no serious adverse events. CONCLUSIONS raTCD was safe and ≈3 times more likely to diagnose RLS than TTE. TTE completely missed or underdiagnosed two thirds of large shunts diagnosed by raTCD. The raTCD device, used by health professionals with no prior TCD training, may allow providers to achieve the known sensitivity of TCD for RLS and patent foramen ovale detection without the need for an experienced operator to perform the test. Pending confirmatory studies, TCD appears to be the superior screen for RLS compared with TTE (funded by NeuraSignal). REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT04604015.
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Affiliation(s)
- Mark N. Rubin
- Edward Hines, Jr. Veterans Affairs Medical Center, IL (M.N.R.)
| | - Ruchir Shah
- CHI Memorial Hospital, Chattanooga, TN (R.S., T.D.)
| | | | - Teddy S. Youn
- Barrow Neurological Institute, Phoenix, AZ (T.S.Y., M.F.W.)
| | | | | | | | | | - Ted Lowenkopf
- Providence Brain and Spine Institute, Portland, OR (T.L.)
| | - Georgios Tsivgoulis
- Second Department of Neurology, National and Kapodistrian University of Athens, “Attikon” University Hospital, Greece (G.T.)
| | - Andrei V. Alexandrov
- Department of Neurology, Banner University Hospital, University of Arizona College of Medicine, Phoenix (A.V.A.)
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Petersen NH, Sheth KN, Jha RM. Precision Medicine in Neurocritical Care for Cerebrovascular Disease Cases. Stroke 2023; 54:1392-1402. [PMID: 36789774 PMCID: PMC10348371 DOI: 10.1161/strokeaha.122.036402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 12/22/2022] [Indexed: 02/16/2023]
Abstract
Scientific advances have informed many aspects of acute stroke care but have also highlighted the complexity and heterogeneity of cerebrovascular diseases. While practice guidelines are essential in supporting the clinical decision-making process, they may not capture the nuances of individual cases. Personalized stroke care in ICU has traditionally relied on integrating clinical examinations, neuroimaging studies, and physiologic monitoring to develop a treatment plan tailored to the individual patient. However, to realize the potential of precision medicine in stroke, we need advances and evidence in several critical areas, including data capture, clinical phenotyping, serum biomarker development, neuromonitoring, and physiology-based treatment targets. Mathematical tools are being developed to analyze the multitude of data and provide clinicians with real-time information and personalized treatment targets for the critical care management of patients with cerebrovascular diseases. This review summarizes research advances in these areas and outlines principles for translating precision medicine into clinical practice.
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Affiliation(s)
- Nils H Petersen
- Departments of Neurology (N.H.P., K.N.S., R.M.J.), Yale University School of Medicine, New Haven, CT
| | - Kevin N Sheth
- Departments of Neurology (N.H.P., K.N.S., R.M.J.), Yale University School of Medicine, New Haven, CT
- Neurosurgery (K.N.S., R.M.J.), Yale University School of Medicine, New Haven, CT
- Departments of Neurology, Neurosurgery and Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ (K.N.S., R.M.J.)
| | - Ruchira M Jha
- Departments of Neurology (N.H.P., K.N.S., R.M.J.), Yale University School of Medicine, New Haven, CT
- Neurosurgery (K.N.S., R.M.J.), Yale University School of Medicine, New Haven, CT
- Departments of Neurology, Neurosurgery and Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ (K.N.S., R.M.J.)
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Abstract
OBJECTIVES Critically ill patients are at high risk of acute brain injury. Bedside multimodality neuromonitoring techniques can provide a direct assessment of physiologic interactions between systemic derangements and intracranial processes and offer the potential for early detection of neurologic deterioration before clinically manifest signs occur. Neuromonitoring provides measurable parameters of new or evolving brain injury that can be used as a target for investigating various therapeutic interventions, monitoring treatment responses, and testing clinical paradigms that could reduce secondary brain injury and improve clinical outcomes. Further investigations may also reveal neuromonitoring markers that can assist in neuroprognostication. We provide an up-to-date summary of clinical applications, risks, benefits, and challenges of various invasive and noninvasive neuromonitoring modalities. DATA SOURCES English articles were retrieved using pertinent search terms related to invasive and noninvasive neuromonitoring techniques in PubMed and CINAHL. STUDY SELECTION Original research, review articles, commentaries, and guidelines. DATA EXTRACTION Syntheses of data retrieved from relevant publications are summarized into a narrative review. DATA SYNTHESIS A cascade of cerebral and systemic pathophysiological processes can compound neuronal damage in critically ill patients. Numerous neuromonitoring modalities and their clinical applications have been investigated in critically ill patients that monitor a range of neurologic physiologic processes, including clinical neurologic assessments, electrophysiology tests, cerebral blood flow, substrate delivery, substrate utilization, and cellular metabolism. Most studies in neuromonitoring have focused on traumatic brain injury, with a paucity of data on other clinical types of acute brain injury. We provide a concise summary of the most commonly used invasive and noninvasive neuromonitoring techniques, their associated risks, their bedside clinical application, and the implications of common findings to guide evaluation and management of critically ill patients. CONCLUSIONS Neuromonitoring techniques provide an essential tool to facilitate early detection and treatment of acute brain injury in critical care. Awareness of the nuances of their use and clinical applications can empower the intensive care team with tools to potentially reduce the burden of neurologic morbidity in critically ill patients.
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Affiliation(s)
- Swarna Rajagopalan
- Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ
| | - Aarti Sarwal
- Department of Neurology, Atrium Wake Forest School of Medicine, Winston-Salem, NC
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Agrawal D, Dhillon P, Siow I, Lee KS, Spooner O, Yeo L, Bhogal P. Prehospital technologies for early stroke detection - A review. Interv Neuroradiol 2023:15910199231152372. [PMID: 36654460 DOI: 10.1177/15910199231152372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
The rate of neural circuitry loss in a typical large vessel occlusion well emphasizes that 'Time is Brain'. Every untreated minute in a large vessel ischaemic stroke results in loss of 1.9 million neurons and 13.8 billion synapses. As such, it is essential to optimize the flow-limiting steps in delivering the current standard of care. The current diagnostic model involves recognition of symptoms by patients, followed by access to Emergency Medical Services and subsequent physical examination and neuroimaging in the Emergency Department. With more than 50% of stroke patients using Emergency Medical Services as the first point of care contact, it can be deduced that the outcome of the 'stroke chain of survival' can be improved by addressing the bottleneck of prehospital stroke diagnosis. Here we present a review of the existing technologies.
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Affiliation(s)
- Deepsha Agrawal
- Department of Radiology, 6397Oxford University Hospitals NHS Trust, Oxford, UK
| | - Permesh Dhillon
- Department of Interventional Neuroradiology, 105590Queens Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Isabel Siow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Oliver Spooner
- Department of Stroke Medicine, 112001The Royal London Hospital, Barts NHS Trust, London, UK
| | - Leonard Yeo
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Pervinder Bhogal
- Department of Interventional Neuroradiology, 112001The Royal London Hospital, Barts NHS Trust, London, UK
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Gan L, Yin X, Huang J, Jia B. Transcranial Doppler analysis based on computer and artificial intelligence for acute cerebrovascular disease. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:1695-1715. [PMID: 36899504 DOI: 10.3934/mbe.2023077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Cerebrovascular disease refers to damage to brain tissue caused by impaired intracranial blood circulation. It usually presents clinically as an acute nonfatal event and is characterized by high morbidity, disability, and mortality. Transcranial Doppler (TCD) ultrasonography is a non-invasive method for the diagnosis of cerebrovascular disease that uses the Doppler effect to detect the hemodynamic and physiological parameters of the major intracranial basilar arteries. It can provide important hemodynamic information that cannot be measured by other diagnostic imaging techniques for cerebrovascular disease. And the result parameters of TCD ultrasonography such as blood flow velocity and beat index can reflect the type of cerebrovascular disease and serve as a basis to assist physicians in the treatment of cerebrovascular diseases. Artificial intelligence (AI) is a branch of computer science which is used in a wide range of applications in agriculture, communications, medicine, finance, and other fields. In recent years, there are much research devoted to the application of AI to TCD. The review and summary of related technologies is an important work to promote the development of this field, which can provide an intuitive technical summary for future researchers. In this paper, we first review the development, principles, and applications of TCD ultrasonography and other related knowledge, and briefly introduce the development of AI in the field of medicine and emergency medicine. Finally, we summarize in detail the applications and advantages of AI technology in TCD ultrasonography including the establishment of an examination system combining brain computer interface (BCI) and TCD ultrasonography, the classification and noise cancellation of TCD ultrasonography signals using AI algorithms, and the use of intelligent robots to assist physicians in TCD ultrasonography and discuss the prospects for the development of AI in TCD ultrasonography.
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Affiliation(s)
- Lingli Gan
- Department of Neurology, Chongqing General Hospital, Chongqing 401147, China
| | - Xiaoling Yin
- Department of Neurosurgery, Chongqing General Hospital, Chongqing 401147, China
| | - Jiating Huang
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
| | - Bin Jia
- Department of Neurosurgery, Chongqing General Hospital, Chongqing 401147, China
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Gravino G. The pioneering past and cutting-edge future of interventional neuroradiology. Interv Neuroradiol 2022:15910199221130234. [PMID: 36214159 DOI: 10.1177/15910199221130234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024] Open
Abstract
This review provides a thorough understanding of the developments in the field of interventional neuroradiology (INR). A concise overview of the pioneering past and current state of this field is presented first, followed by a greater emphasis on its future. Five main aspects predicted to undergo significant developments are identified and discussed. These include changes in 'education and training', 'clinical practice and logistics', 'devices and equipment', 'techniques and procedures', and 'relevant diagnostic imaging'. INR is at the crossroads of neuroradiology, neurosurgery, neurology, and the neurosciences. To progress we must value the uniqueness and vitality of this multidisciplinary aspect. While minimal access techniques offer very good anatomical accessibility to treat multiple pathologies of the central nervous system, it is also important to recognise its limitations. Medical, surgical, and radiosurgery modalities retain an important role in the management of some complex neuropathology. This review is certainly not exhaustive of all ongoing and predicted developments, but it is an important update for INR specialists and other interested professionals.
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Affiliation(s)
- Gilbert Gravino
- 195157Neuroradiology Department, The Walton Centre for Neurology and Neurosurgery, Liverpool, L9 7LJ, UK
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Mainali S, Cardim D, Sarwal A, Merck LH, Yeatts SD, Czosnyka M, Shutter L. Prolonged Automated Robotic TCD Monitoring in Acute Severe TBI: Study Design and Rationale. Neurocrit Care 2022; 37:267-275. [PMID: 35381966 DOI: 10.1007/s12028-022-01483-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/01/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Transcranial Doppler ultrasonography (TCD) is a portable, bedside, noninvasive diagnostic tool used for the real-time assessment of cerebral hemodynamics. Despite the evident utility of TCD and the ability of this technique to function as a stethoscope to the brain, its use has been limited to specialized centers because of the dearth of technical and clinical expertise required to acquire and interpret the cerebrovascular parameters. Additionally, the conventional pragmatic episodic TCD monitoring protocols lack dynamic real-time feedback to guide time-critical clinical interventions. Fortunately, with the recent advent of automated robotic TCD technology in conjunction with the automated software for TCD data processing, we now have the technology to automatically acquire TCD data and obtain clinically relevant information in real-time. By obviating the need for highly trained clinical personnel, this technology shows great promise toward a future of widespread noninvasive monitoring to guide clinical care in patients with acute brain injury. METHODS Here, we describe a proposal for a prospective observational multicenter clinical trial to evaluate the safety and feasibility of prolonged automated robotic TCD monitoring in patients with severe acute traumatic brain injury (TBI). We will enroll patients with severe non-penetrating TBI with concomitant invasive multimodal monitoring including, intracranial pressure, brain tissue oxygenation, and brain temperature monitoring as part of standard of care in centers with varying degrees of TCD availability and experience. Additionally, we propose to evaluate the correlation of pertinent TCD-based cerebral autoregulation indices such as the critical closing pressure, and the pressure reactivity index with the brain tissue oxygenation values obtained invasively. CONCLUSIONS The overarching goal of this study is to establish safety and feasibility of prolonged automated TCD monitoring for patients with TBI in the intensive care unit and identify clinically meaningful and pragmatic noninvasive targets for future interventions.
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Affiliation(s)
- Shraddha Mainali
- Department of Neurology, Virginial Commonwealth University, Richmond, VA, USA.
| | - Danilo Cardim
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Aarti Sarwal
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Lisa H Merck
- Departments of Emergency Medicine and Neurology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Sharon D Yeatts
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Marek Czosnyka
- Brain Physics Laboratory, Neurosurgical Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Lori Shutter
- Department of Critical Care Medicine, Neurology, and Neurosurgery, University of Pittsburgh, Pittsburgh, PA, USA
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