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Schenck H, van Craenenbroeck C, van Kuijk S, Gommer E, Veldeman M, Temel Y, Aries M, Mess W, Haeren R. Systematic review and meta-analysis of transcranial doppler biomarkers for the prediction of delayed cerebral ischemia following subarachnoid hemorrhage. J Cereb Blood Flow Metab 2025:271678X251313746. [PMID: 40110695 PMCID: PMC11926817 DOI: 10.1177/0271678x251313746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/22/2025]
Abstract
Delayed cerebral ischemia (DCI) following an aneurysmal subarachnoid hemorrhage (aSAH) significantly impacts mortality, morbidity, and healthcare costs. This study assessed the diagnostic accuracy of Transcranial Doppler (TCD)-derived biomarkers for predicting DCI via a systematic review and meta-analysis. Included studies had to correctly define DCI and report data on sensitivity, specificity, positive predictive value, and negative predictive value. Univariate or bivariate analyses with a random effects model were used, and risk of bias was evaluated with the Quality Assessment of Diagnostic Accuracy Studies. From 23 eligible articles (n = 2371 patients), three biomarker categories were identified: cerebral blood flow velocities (CBFV), cerebral autoregulation, and microembolic signals (MES). The highest sensitivity (0.86, 95% CI 0.71-0.94) and specificity (0.75, 95% CI 0.52-0.94) for DCI prediction were achieved with a mean CBFV of 120 cm/s combined with a Lindegaard ratio. The transient hyperemic response test showed the best performance among autoregulatory biomarkers with a sensitivity of 0.88, (95% CI 0.54-0.98) and specificity of 0.82 (95% CI 0.52-0.94). MES were less effective predictors. Combining CBFV with autoregulatory biomarkers enhanced TCD's predictive value. High heterogeneity and risk of bias were noted, indicating the need for a standardized TCD approach for improved DCI evaluation.
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Affiliation(s)
- Hanna Schenck
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
- Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands
| | - Céline van Craenenbroeck
- Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Sander van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Erik Gommer
- Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Michael Veldeman
- Department of Neurosurgery, RWTH University Hospital Aachen, Aachen, Germany
| | - Yasin Temel
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
- Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands
| | - Marcel Aries
- Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands
- Department of Intensive Care, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Werner Mess
- Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands
- Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Roel Haeren
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
- Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands
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Intraoperative local hemodynamic quantitative analysis of direct revascularization in patients with moyamoya disease. Neurosurg Rev 2020; 44:2659-2666. [PMID: 33242129 DOI: 10.1007/s10143-020-01442-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 09/19/2020] [Accepted: 11/13/2020] [Indexed: 10/22/2022]
Abstract
Direct bypass surgery improves blood flow in patients with moyamoya disease (MMD) as well as causes local flow relocation and disturbance. This study aimed to describe the characteristics and changes of quantitative blood flow in MMD patients. Sixty-four consecutive MMD patients (67 hemispheres) who underwent STA-MCA anastomosis between August 2013 and September 2017 were included in this study. Intraoperative blood flow of superficial temporal artery and middle cerebral artery was measured with a noninvasive, ultrasound flowprobe, before and after the bypass. All data were collected prospectively. Before the bypass, 67 hemispheres were measured and 45 hemispheres acquired post-bypass measurements. Thirty-three (49.3%) had anterograde flow and 34 (50.7%) had retrograde. Retrograde blood flow was significantly higher than anterograde blood flow in MCA-M4 section (3.71 ± 2.78 ml/min vs 2.39 ± 1.71 ml/min, P = 0.023). Thirty-eight (56.7%) patients had local cerebrovascular reactivity, whereas 29 (43.3%) lost it. After bypass, blood flow was changed into three patterns: anterograde flow (1, 2.2%), retrograde flow (3, 6.7%), and bi-direction flow (41, 91.1%). Flow of M4 was significantly improved in both proximal (13.64 ± 9.16 vs 3.28 ± 2.57, P < 0.001) and distal (7.17 ± 7.21 vs 3.28 ± 2.57, P = 0.002) sides to the bypass. Postoperative infarctions occurred in 4 (8.9%) patients. All postoperative infarctions (n = 4) happened in those patients who did not have change of flow direction in M4 section distal to the bypass (P = 0.040). Direct bypass surgery improves local blood flow after bypass surgery in both sides of the anastomosis. Flow direction was usually changed after the surgery into a bi-direction pattern: anterograde flow in M4 distal to the bypass, and retrograde flow in M4 proximal to the bypass. Proximal side acquired around 5.4 times of flow than the distal side. Patients with change of flow direction in distal M4 were related with lower risks of postoperative infarctions.
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Netto JP, Iliff J, Stanimirovic D, Krohn KA, Hamilton B, Varallyay C, Gahramanov S, Daldrup-Link H, d'Esterre C, Zlokovic B, Sair H, Lee Y, Taheri S, Jain R, Panigrahy A, Reich DS, Drewes LR, Castillo M, Neuwelt EA. Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol. Neurosurgery 2019; 82:770-780. [PMID: 28973554 DOI: 10.1093/neuros/nyx357] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 06/27/2017] [Indexed: 12/11/2022] Open
Abstract
Physiological and pathological processes that increase or decrease the central nervous system's need for nutrients and oxygen via changes in local blood supply act primarily at the level of the neurovascular unit (NVU). The NVU consists of endothelial cells, associated blood-brain barrier tight junctions, basal lamina, pericytes, and parenchymal cells, including astrocytes, neurons, and interneurons. Knowledge of the NVU is essential for interpretation of central nervous system physiology and pathology as revealed by conventional and advanced imaging techniques. This article reviews current strategies for interrogating the NVU, focusing on vascular permeability, blood volume, and functional imaging, as assessed by ferumoxytol an iron oxide nanoparticle.
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Affiliation(s)
- Joao Prola Netto
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon
| | - Jeffrey Iliff
- Department of Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon
| | - Danica Stanimirovic
- Human Health Therapeutics Portfolio, National Research Council of Canada, Ottawa, Ontario, Canada
| | - Kenneth A Krohn
- Department of Radiology, University of Washington, Seattle, Washington.,Department of Radiology, Oregon Health & Science University, Portland, Oregon
| | - Bronwyn Hamilton
- Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon
| | - Csanad Varallyay
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Radiology, Oregon Health & Science University, Portland, Oregon
| | - Seymur Gahramanov
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico
| | | | - Christopher d'Esterre
- Department of Radiology, University of Calgary, Foothills Medical Center, Calgary, Alberta, Canada
| | - Berislav Zlokovic
- Zikha Neurogenetic Institute, University of Southern California, Los Angeles, California
| | - Haris Sair
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Yueh Lee
- Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Saeid Taheri
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Rajan Jain
- Department of Radiology and Neurosurgery, New York University School of Medicine, New York, New York
| | - Ashok Panigrahy
- Department of Radiology, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Daniel S Reich
- Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
| | - Lester R Drewes
- Department of Biomedical Sciences, University of Minnesota, Duluth, Minnesota
| | - Mauricio Castillo
- Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Edward A Neuwelt
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon.,Portland Veterans Affairs Medical Center, Portland, Oregon
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Time Course of Cerebrovascular Reactivity in Patients Treated for Unruptured Intracranial Aneurysms: A One-Year Transcranial Doppler and Acetazolamide Follow-Up Study. BIOMED RESEARCH INTERNATIONAL 2018; 2018:6489276. [PMID: 29854773 PMCID: PMC5944219 DOI: 10.1155/2018/6489276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 03/04/2018] [Accepted: 03/21/2018] [Indexed: 11/18/2022]
Abstract
Background Cerebrovascular reactivity (CVR) is often impaired in the early phase after aneurysmal subarachnoid hemorrhage. There is, however, little knowledge about the time course of CVR in patients treated for unruptured intracranial aneurysms (UIA). Methods CVR, assessed by transcranial Doppler and acetazolamide test, was examined within the first postoperative week after treatment for UIA and reexamined one year later. Results Of 37 patients initially assessed, 34 were reexamined after one year. Bilaterally, baseline and acetazolamide-induced blood flow velocities were higher in the postoperative week compared with one year later (p < 0.001). CVR on the ipsilateral side of treatment was lower in the initial examination compared with follow-up (58.9% versus 66.1%, p = 0.04). There was no difference in CVR over time on the contralateral side (63.4% versus 65.0%, p = 0.65). When mean values of right and left sides were considered there was no difference in CVR between exams. Larger aneurysm size was associated with increased change in CVR (p = 0.04), and treatment with clipping was associated with 13.8%-point increased change in CVR compared with coiling (p = 0.03). Conclusion Patients with UIA may have a temporary reduction in CVR on the ipsilateral side after aneurysm treatment. The change in CVR appears more pronounced for larger-sized aneurysms and in patients treated with clipping. We recommend that ipsilateral and contralateral CVR should be assessed separately, as mean values can conceal side-differences.
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