Electrical impedance measurements can identify red blood cell-rich content in acute ischemic stroke clots ex vivo associated with first-pass successful recanalization.

Autor: Sahin C; Department of Physiology, University of Galway, Galway, Ireland.; Centre for Research in Medical Devices (CÚRAM)- Science Foundation Ireland (SFI), University of Galway, Galway, Ireland., Giraud A; Sensome, Massy, France., Jabrah D; Department of Physiology, University of Galway, Galway, Ireland., Patil S; Department of Physiology, University of Galway, Galway, Ireland.; Centre for Research in Medical Devices (CÚRAM)- Science Foundation Ireland (SFI), University of Galway, Galway, Ireland., Messina P; Sensome, Massy, France., Bozsak F; Sensome, Massy, France., Darcourt J; Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France., Sacchetti F; Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France., Januel AC; Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France., Bellanger G; Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France., Pagola J; Department of Neurology, University Hospital Vall d'Hebron, Barcelona, Spain., Juega J; Department of Neurology, University Hospital Vall d'Hebron, Barcelona, Spain., Imamura H; Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan., Ohta T; Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan., Spelle L; Department of Interventional Neuroradiology, Bicêtre Hospital, Le Kremlin-Bicêtre, France., Chalumeau V; Department of Interventional Neuroradiology, Bicêtre Hospital, Le Kremlin-Bicêtre, France., Mircic U; Department of Neuroradiology, Centre for Radiology and Magnetic Resonance Imaging (MRI), University Clinical Center of Serbia, Belgrade, Serbia., Stanarčević P; Neurology Clinic, University Clinical Center of Serbia, Belgrade, Serbia., Vukašinović I; Department of Neuroradiology, Centre for Radiology and Magnetic Resonance Imaging (MRI), University Clinical Center of Serbia, Belgrade, Serbia., Ribo M; Department of Neurology, University Hospital Vall d'Hebron, Barcelona, Spain., Sakai N; Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Japan., Cognard C; Department of Diagnostic and Therapeutic Neuroradiology, Centre Hospitalier Universitaire (CHU) de Toulouse, Toulouse, France., Doyle K; Department of Physiology, University of Galway, Galway, Ireland.; Centre for Research in Medical Devices (CÚRAM)- Science Foundation Ireland (SFI), University of Galway, Galway, Ireland.
Jazyk: angličtina
Zdroj: Research and practice in thrombosis and haemostasis [Res Pract Thromb Haemost] 2024 Mar 15; Vol. 8 (3), pp. 102373. Date of Electronic Publication: 2024 Mar 15 (Print Publication: 2024).
DOI: 10.1016/j.rpth.2024.102373
Abstrakt: Background: Electrochemical impedance spectroscopy can determine characteristics such as cell density, size, and shape. The development of an electrical impedance-based medical device to estimate acute ischemic stroke (AIS) clot characteristics could improve stroke patient outcomes by informing clinical decision making.
Objectives: To assess how well electrical impedance combined with machine learning identified red blood cell (RBC)-rich composition of AIS clots ex vivo , which is associated with a successfully modified first-pass effect.
Methods: A total of 253 clots from 231 patients who underwent thrombectomy in 5 hospitals in France, Japan, Serbia, and Spain between February 2021 and October 2023 were analyzed in the Clotbase International Registry. Electrical impedance measurements were taken following clot retrieval by thrombectomy, followed by Martius Scarlet Blue staining. The clot components were quantified via Orbit Image Analysis, and RBC percentages were correlated with the RBC estimations made by the electrical impedance machine learning model.
Results: Quantification by Martius Scarlet Blue staining identified RBCs as the major component in clots (RBCs, 37.6%; white blood cells, 5.7%; fibrin, 25.5%; platelets/other, 30.3%; and collagen, 1%). The impedance-based RBC estimation correlated well with the RBC content determined by histology, with a slope of 0.9 and Spearman's correlation of r = 0.7. Clots removed in 1 pass were significantly richer in RBCs and clots with successful recanalization in 1 pass (modified first-pass effect) were richer in RBCs as assessed using histology and impedance signature.
Conclusion: Electrical impedance estimations of RBC content in AIS clots are consistent with histologic findings and may have potential for clinically relevant parameters.
(© 2024 The Author(s).)
Databáze: MEDLINE
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