Electrical impedance spectroscopy signatures of red blood cells and platelets in acute ischemic stroke clots in the Clotbase International Registry: Significance for etiology and first pass effect
BackgroundClot composition plays a key role in the pathophysiology of Acute Ischemic Stroke (AIS) and impacts the effectiveness of treatments such as thrombolysis and mechanical thrombectomy (MT). Developing an electrochemical impedance spectroscopy (EIS) based device to identify clot characteristic...
Saved in:
Published in | Journal of neurointerventional surgery |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
BMA House, Tavistock Square, London, WC1H 9JR
BMJ Publishing Group Ltd
15.07.2025
|
Subjects | |
Online Access | Get full text |
ISSN | 1759-8478 1759-8486 |
DOI | 10.1136/jnis-2025-023658 |
Cover
Abstract | BackgroundClot composition plays a key role in the pathophysiology of Acute Ischemic Stroke (AIS) and impacts the effectiveness of treatments such as thrombolysis and mechanical thrombectomy (MT). Developing an electrochemical impedance spectroscopy (EIS) based device to identify clot characteristics could improve stroke treatment outcomes. This study aims to estimate the red blood cell (RBC) and platelet content in extracted AIS clots and explore EIS’s relevance to clinically important parameters, including stroke etiology and First Pass Effect (FPE).MethodsA total of 508 clots from 426 MT patients at five stroke centers in France, Japan, Serbia, and Spain (February 2021–2024) were analyzed in the Clotbase International Registry. EIS was performed on retrieved clots, followed by Martius Scarlet Blue staining and CD42b immunohistochemistry. EIS based models to quantify RBCs and platelets were designed using a development dataset (n=309), validated on a blinded dataset (n=199), and combined in a full dataset (n=508). Components (median interquartile range (IQR)) were quantified, correlating RBC and platelet percentages with impedance and clinical parameters.ResultsCorrelations between content as determined by EIS and histology were validated in a blind dataset for RBCs (r=0.7, P<0.0001) and platelets (r=0.5, P<0.0001). Similar correlations were observed in the full dataset. Large-artery atherosclerosis clots had significantly higher RBC (46.0% (25.7–67.7)) and lower platelet content (31.7% (22.4–42.7)) compared with cardioembolic (RBCs: 34.9% (14.0–56.2); platelets: 36.5% (26.7–51.0)) and cryptogenic (RBCs: 31.5% (17.4–63.6); platelets: 37.8% (28.4–50.8)). FPE was associated with significantly higher RBC (40.0% (25.6–55.4) vs non-FPE: 31.2% (6.6–50.2)) and lower platelet content (42.0% (32.0–54.0) vs non-FPE: 47.7% (30.6–65.0)), confirmed by histology.ConclusionEIS of RBCs and platelets provide an accurate assessment of clot composition, correlating strongly with histology. EIS holds the potential to deliver clinically relevant information on clot characteristics at the point of care. |
---|---|
AbstractList | BackgroundClot composition plays a key role in the pathophysiology of Acute Ischemic Stroke (AIS) and impacts the effectiveness of treatments such as thrombolysis and mechanical thrombectomy (MT). Developing an electrochemical impedance spectroscopy (EIS) based device to identify clot characteristics could improve stroke treatment outcomes. This study aims to estimate the red blood cell (RBC) and platelet content in extracted AIS clots and explore EIS’s relevance to clinically important parameters, including stroke etiology and First Pass Effect (FPE).MethodsA total of 508 clots from 426 MT patients at five stroke centers in France, Japan, Serbia, and Spain (February 2021–2024) were analyzed in the Clotbase International Registry. EIS was performed on retrieved clots, followed by Martius Scarlet Blue staining and CD42b immunohistochemistry. EIS based models to quantify RBCs and platelets were designed using a development dataset (n=309), validated on a blinded dataset (n=199), and combined in a full dataset (n=508). Components (median interquartile range (IQR)) were quantified, correlating RBC and platelet percentages with impedance and clinical parameters.ResultsCorrelations between content as determined by EIS and histology were validated in a blind dataset for RBCs (r=0.7, P<0.0001) and platelets (r=0.5, P<0.0001). Similar correlations were observed in the full dataset. Large-artery atherosclerosis clots had significantly higher RBC (46.0% (25.7–67.7)) and lower platelet content (31.7% (22.4–42.7)) compared with cardioembolic (RBCs: 34.9% (14.0–56.2); platelets: 36.5% (26.7–51.0)) and cryptogenic (RBCs: 31.5% (17.4–63.6); platelets: 37.8% (28.4–50.8)). FPE was associated with significantly higher RBC (40.0% (25.6–55.4) vs non-FPE: 31.2% (6.6–50.2)) and lower platelet content (42.0% (32.0–54.0) vs non-FPE: 47.7% (30.6–65.0)), confirmed by histology.ConclusionEIS of RBCs and platelets provide an accurate assessment of clot composition, correlating strongly with histology. EIS holds the potential to deliver clinically relevant information on clot characteristics at the point of care. Clot composition plays a key role in the pathophysiology of Acute Ischemic Stroke (AIS) and impacts the effectiveness of treatments such as thrombolysis and mechanical thrombectomy (MT). Developing an electrochemical impedance spectroscopy (EIS) based device to identify clot characteristics could improve stroke treatment outcomes. This study aims to estimate the red blood cell (RBC) and platelet content in extracted AIS clots and explore EIS's relevance to clinically important parameters, including stroke etiology and First Pass Effect (FPE). A total of 508 clots from 426 MT patients at five stroke centers in France, Japan, Serbia, and Spain (February 2021-2024) were analyzed in the Clotbase International Registry. EIS was performed on retrieved clots, followed by Martius Scarlet Blue staining and CD42b immunohistochemistry. EIS based models to quantify RBCs and platelets were designed using a development dataset (n=309), validated on a blinded dataset (n=199), and combined in a full dataset (n=508). Components (median interquartile range (IQR)) were quantified, correlating RBC and platelet percentages with impedance and clinical parameters. Correlations between content as determined by EIS and histology were validated in a blind dataset for RBCs (r=0.7, P<0.0001) and platelets (r=0.5, P<0.0001). Similar correlations were observed in the full dataset. Large-artery atherosclerosis clots had significantly higher RBC (46.0% (25.7-67.7)) and lower platelet content (31.7% (22.4-42.7)) compared with cardioembolic (RBCs: 34.9% (14.0-56.2); platelets: 36.5% (26.7-51.0)) and cryptogenic (RBCs: 31.5% (17.4-63.6); platelets: 37.8% (28.4-50.8)). FPE was associated with significantly higher RBC (40.0% (25.6-55.4) vs non-FPE: 31.2% (6.6-50.2)) and lower platelet content (42.0% (32.0-54.0) vs non-FPE: 47.7% (30.6-65.0)), confirmed by histology. EIS of RBCs and platelets provide an accurate assessment of clot composition, correlating strongly with histology. EIS holds the potential to deliver clinically relevant information on clot characteristics at the point of care. |
Author | Januel, Anne-Christine Giraud, Alice Ribo, Marc Vukasinovic, Ivan Sakai, Nobuyuki Sahin, Cansu Liu, Wenyi Pagola, Jorge Doyle, Karen Juega, Jesus Bozsak, Franz Stanarcevic, Predrag D Cognard, Christophe Mircic, Uros Imamura, Hirotoshi Ohta, Tsuyoshi Sak, Nazan Güner Messina, Pierluca Bellanger, Guillaume Spelle, Laurent Chalumeau, Vanessa Darcourt, Jean Sacchetti, Federico |
Author_xml | – sequence: 1 givenname: Cansu orcidid: 0000-0001-5201-6619 surname: Sahin fullname: Sahin, Cansu organization: Department of Physiology, University of Galway, Galway, County Galway, Ireland – sequence: 2 givenname: Alice surname: Giraud fullname: Giraud, Alice organization: Sensome SAS, Massy, France – sequence: 3 givenname: Nazan Güner surname: Sak fullname: Sak, Nazan Güner organization: Department of Physiology, University of Galway, Galway, County Galway, Ireland – sequence: 4 givenname: Wenyi orcidid: 0009-0003-1808-4708 surname: Liu fullname: Liu, Wenyi organization: Department of Physiology, University of Galway, Galway, County Galway, Ireland – sequence: 5 givenname: Pierluca orcidid: 0000-0003-0624-9926 surname: Messina fullname: Messina, Pierluca organization: Sensome SAS, Massy, France – sequence: 6 givenname: Franz surname: Bozsak fullname: Bozsak, Franz organization: Sensome SAS, Massy, France – sequence: 7 givenname: Jean surname: Darcourt fullname: Darcourt, Jean organization: Radiology Department, Ramsay Santé Clinique des Cèdres, Cornebarrieu, France – sequence: 8 givenname: Federico surname: Sacchetti fullname: Sacchetti, Federico organization: Neuroradiology, CHU Toulouse, Toulouse, Occitanie, France – sequence: 9 givenname: Anne-Christine surname: Januel fullname: Januel, Anne-Christine organization: Neuroradiology, University Hospital of Purpan, Toulouse, France – sequence: 10 givenname: Guillaume surname: Bellanger fullname: Bellanger, Guillaume organization: Toulouse 2 University, Toulouse, Occitanie, France – sequence: 11 givenname: Jorge surname: Pagola fullname: Pagola, Jorge organization: Paris-Saclay University Faculty of Medicine, Le Kremlin-Bicetre, France – sequence: 12 givenname: Jesus orcidid: 0000-0003-1309-0730 surname: Juega fullname: Juega, Jesus organization: Department of Neurology, Hospital Germans Trias i Pujol, Badalona, Spain – sequence: 13 givenname: Hirotoshi orcidid: 0000-0001-8923-7861 surname: Imamura fullname: Imamura, Hirotoshi organization: Stroke Unit, Neurology, Hospital Vall d’Hebron, Barcelona, Spain – sequence: 14 givenname: Tsuyoshi surname: Ohta fullname: Ohta, Tsuyoshi organization: Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain – sequence: 15 givenname: Laurent orcidid: 0000-0002-6748-8528 surname: Spelle fullname: Spelle, Laurent organization: Paris-Saclay University Faculty of Medicine, Le Kremlin-Bicetre, France – sequence: 16 givenname: Vanessa surname: Chalumeau fullname: Chalumeau, Vanessa organization: Department of Physiology, University of Galway, Galway, Ireland – sequence: 17 givenname: Uros surname: Mircic fullname: Mircic, Uros organization: Stroke Unit, Neurology, Hospital Vall d’Hebron, Barcelona, Spain – sequence: 18 givenname: Predrag D surname: Stanarcevic fullname: Stanarcevic, Predrag D organization: Stroke Unit, Neurology, Hospital Vall d’Hebron, Barcelona, Spain – sequence: 19 givenname: Ivan surname: Vukasinovic fullname: Vukasinovic, Ivan organization: Department of Neuroradiology, Klinicki centar Srbije, Beograd, Serbia – sequence: 20 givenname: Marc orcidid: 0000-0001-9242-043X surname: Ribo fullname: Ribo, Marc organization: Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain – sequence: 21 givenname: Nobuyuki orcidid: 0000-0002-3289-1210 surname: Sakai fullname: Sakai, Nobuyuki organization: Neurosurgery, Kobe City Medical Center General Hospital, Kobe-city, Hyogo, Japan – sequence: 22 givenname: Christophe orcidid: 0000-0003-4287-2627 surname: Cognard fullname: Cognard, Christophe organization: Diagnostic and Therapeutic Neuroradiology, Hôpital Purpan, Toulouse, France – sequence: 23 givenname: Karen surname: Doyle fullname: Doyle, Karen email: karen.doyle@universityofgalway.ie organization: Department of Physiology, University of Galway, Galway, Ireland |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40664428$$D View this record in MEDLINE/PubMed |
BookMark | eNo9UclOHDEUtCKisCT3nND7ABrsXuzu3NCIBCQkJJKcW16eBw9uu9X2HOb_-LC4Mwmnt5Wqyq5zchJiQEK-MnrNWMNvdsGlqqZ1V9G64V3_gZwx0Q1V3_b85L0X_Sk5T2lHKRed6D6R05Zy3rZ1f0be7jzqvDgtPbhpRiODRkjzuoxJx_kAyW2DzPsFE0QLCxpQPkYDGr1PIIOB2cuMHnMCF0DqfUZwSb_g5DSkwvOKoH08nvMLwqYMSiaEh5BxKeQuhqL_jFtX4Idv8LNIOltMrWZsXAALxMft4a-cdUvKMMuUAK0tTj-Tj1b6hF_-1Qvy-_vdr8199fj042Fz-1iphg25UporZpjSehC6H4S1FKmghlNDO-SiRpRcG1n3wra1ZNgNDaLolGmN7E3TXJDLI--8VxOacV7cJJfD-P87C-DqCFDTbtzFfXmbTyOj45rWuKY1rmmNx7SaP0L0jo4 |
Cites_doi | 10.1161/STROKEAHA.118.023419 10.1136/jnis-2024-021654 10.3324/haematol.2019.219881 10.1016/j.rpth.2024.102373 10.1136/neurintsurg-2018-014637 10.1161/STROKEAHA.116.013105 10.1371/journal.pone.0197492 10.7326/M14-0697 10.1016/j.jocn.2024.05.024 10.1177/23969873221108740 10.1136/neurintsurg-2021-018631 10.1136/neurintsurg-2020-017167 10.1161/STROKEAHA.117.016590 10.1016/j.thromres.2012.04.008 10.1007/s00415-021-10758-5 10.1371/journal.pone.0225841 10.1007/s10439-024-03515-y 10.1136/neurintsurg-2020-016966 10.3389/fimmu.2022.995911 10.1136/svn-2021-001038 10.3389/fneur.2022.870331 10.1007/s00062-020-00964-5 10.1177/15910199231175377 10.3390/biomedicines10081833 10.1371/journal.pcbi.1007313 10.3174/ajnr.A4402 10.1177/1747493016641965 10.1111/ene.12233 10.1161/STROKEAHA.118.024543 10.1371/journal.pone.0088882 10.3390/ijms232012373 10.1111/jth.14788 10.1161/STROKEAHA.124.047324 |
ContentType | Journal Article |
Copyright | Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group. |
Copyright_xml | – notice: Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group. |
DBID | 9YT ACMMV NPM |
DOI | 10.1136/jnis-2025-023658 |
DatabaseName | BMJ Open Access Journals BMJ Journals:Open Access PubMed |
DatabaseTitle | PubMed |
DatabaseTitleList | PubMed |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: ACMMV name: BMJ Journals:Open Access url: https://journals.bmj.com/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
EISSN | 1759-8486 |
ExternalDocumentID | 40664428 neurintsurg |
Genre | Journal Article |
GrantInformation_xml | – fundername: Research Ireland and the European Regional Development Fund grantid: Grant Number 13/RC/2073 & 13/RC/2073_P2 – fundername: SENSOME grantid: N/A |
GroupedDBID | --- .VT 0R~ 29L 7~S 9YT AAHLL AAOJX AAUVZ AAWJN AAWTL ABJNI ABKDF ABMQD ABTFR ABVAJ ACGFS ACGTL ACHTP ACMFJ ACMMV ACOFX ACQHZ ACTZY ADBBV ADUGQ AEKJL AENEX AERUA AFWFF AHMBA AHNKE AHQMW AJYBZ AKKEP ALIPV ALMA_UNASSIGNED_HOLDINGS BENPR BLJBA BTHHO CXRWF DU5 EBS F5P HAJ HZ~ NXWIF O9- OVD RHI RMJ RV8 TEORI UYXKK V24 NPM |
ID | FETCH-LOGICAL-b319t-bc6b1d1bcc97c897ff0e070d60d05e672eea6cda287f42a1e593ee75bd4da8d33 |
IEDL.DBID | 9YT |
ISSN | 1759-8478 |
IngestDate | Thu Jul 17 02:09:44 EDT 2025 Wed Jul 16 14:27:30 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Stroke Thrombectomy |
Language | English |
License | This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-b319t-bc6b1d1bcc97c897ff0e070d60d05e672eea6cda287f42a1e593ee75bd4da8d33 |
Notes | Original research |
ORCID | 0000-0003-1309-0730 0000-0001-5201-6619 0000-0001-8923-7861 0000-0002-6748-8528 0000-0003-4287-2627 0000-0001-9242-043X 0000-0003-0624-9926 0009-0003-1808-4708 0000-0002-3289-1210 |
OpenAccessLink | https://jnis.bmj.com/content/early/2025/07/15/jnis-2025-023658.full |
PMID | 40664428 |
ParticipantIDs | pubmed_primary_40664428 bmj_journals_10_1136_jnis_2025_023658 |
PublicationCentury | 2000 |
PublicationDate | 2025-07-15 |
PublicationDateYYYYMMDD | 2025-07-15 |
PublicationDate_xml | – month: 07 year: 2025 text: 2025-07-15 day: 15 |
PublicationDecade | 2020 |
PublicationPlace | BMA House, Tavistock Square, London, WC1H 9JR |
PublicationPlace_xml | – name: BMA House, Tavistock Square, London, WC1H 9JR – name: England |
PublicationTitle | Journal of neurointerventional surgery |
PublicationTitleAbbrev | J NeuroIntervent Surg |
PublicationTitleAlternate | J Neurointerv Surg |
PublicationYear | 2025 |
Publisher | BMJ Publishing Group Ltd |
Publisher_xml | – name: BMJ Publishing Group Ltd |
References | Kim, Yoon, Kim (R4) 2015; 36 Stritt, Stalder, Vezzali (R23) 2020; 16 Delvoye, Di Meglio, Consoli (R14) 2022; 7 Patil, Darcourt, Messina (R15) 2022; 7 Fitzgerald, Rossi, Mereuta (R6) 2021; 13 Sahin, Giraud, Jabrah (R18) 2024; 8 Niesten, van der Schaaf, van Dam (R11) 2014; 9 Zhang, Fu, Ren (R33) 2024; 126 Collins, Reitsma, Altman (R19) 2015; 162 Boeckh-Behrens, Kleine, Zimmer (R9) 2016; 47 Cahalane, Cruts, van Beusekom (R2) 2024; 52 Messina, Garcia, Rambeau (R16) 2023; 15 Fitzgerald, Wang, Dai (R20) 2019; 11 Fitzgerald, Wang, Dai (R22) 2019; 14 Weng, Gao, Zhao (R31) 2022; 13 Staessens, Denorme, Francois (R21) 2020; 105 Ahn, Hong, Choo (R10) 2016; 11 D’Ambrogio, Zahhaf, Le (R25) 2022; 10 Fitzgerald, Dai, Wang (R5) 2019; 50 Handtke, Thiele (R24) 2020; 18 Rossi, Molina, Mereuta (R1) 2022; 269 Darcourt, Brinjikji, François (R17) 2023 Huang, Bhaskar (R27) 2022; 23 Berndt, Poppert, Steiger (R29) 2021; 31 Juega, Requena, Piñana (R30) 2025; 17 Furlan, Vergouwen, Fang (R32) 2014; 21 Sato, Ishibashi-Ueda, Iwakiri (R3) 2012; 130 Nogueira, Andersson, Haussen (R28) 2024; 55 Duffy, McCarthy, Farrell (R13) 2019; 50 Sporns, Hanning, Schwindt (R8) 2017; 48 Shin, Jeong, Kwon (R12) 2018; 13 Desilles, Di Meglio, Delvoye (R26) 2022; 13 Brinjikji, Nogueira, Kvamme (R7) 2021; 13 |
References_xml | – volume: 50 start-page: 1156 year: 2019 ident: R13 article-title: Per-Pass Analysis of Thrombus Composition in Patients With Acute Ischemic Stroke Undergoing Mechanical Thrombectomy publication-title: Stroke doi: 10.1161/STROKEAHA.118.023419 – volume: 17 start-page: 525 year: 2025 ident: R30 article-title: Intracranial thrombus composition is associated with occlusion location and endovascular treatment outcomes: results from ITACAT multicenter study publication-title: J NeuroIntervent Surg doi: 10.1136/jnis-2024-021654 – volume: 105 start-page: 498 year: 2020 ident: R21 article-title: Structural analysis of ischemic stroke thrombi: histological indications for therapy resistance publication-title: Haematologica doi: 10.3324/haematol.2019.219881 – volume: 8 year: 2024 ident: R18 article-title: Electrical impedance measurements can identify red blood cell-rich content in acute ischemic stroke clots ex vivo associated with first-pass successful recanalization publication-title: Res Pract Thromb Haemost doi: 10.1016/j.rpth.2024.102373 – volume: 11 start-page: 1145 year: 2019 ident: R20 article-title: Platelet-rich clots as identified by Martius Scarlet Blue staining are isodense on NCCT publication-title: J Neurointerv Surg doi: 10.1136/neurintsurg-2018-014637 – volume: 47 start-page: 1864 year: 2016 ident: R9 article-title: Thrombus Histology Suggests Cardioembolic Cause in Cryptogenic Stroke publication-title: Stroke doi: 10.1161/STROKEAHA.116.013105 – volume: 13 year: 2018 ident: R12 article-title: High red blood cell composition in clots is associated with successful recanalization during intra-arterial thrombectomy publication-title: PLoS ONE doi: 10.1371/journal.pone.0197492 – volume: 162 start-page: 55 year: 2015 ident: R19 article-title: Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement publication-title: Ann Intern Med doi: 10.7326/M14-0697 – volume: 126 start-page: 46 year: 2024 ident: R33 article-title: Relationship between thrombus composition and prognosis in patients with acute ischemic stroke undergoing mechanical thrombectomy publication-title: J Clin Neurosci doi: 10.1016/j.jocn.2024.05.024 – volume: 7 start-page: 376 year: 2022 ident: R14 article-title: High thrombus platelet content is associated with a lower rate of first pass effect in stroke treated by endovascular therapy publication-title: Eur Stroke J doi: 10.1177/23969873221108740 – volume: 15 start-page: 526 year: 2023 ident: R16 article-title: Impedance-based sensors discriminate among different types of blood thrombi with very high specificity and sensitivity publication-title: J Neurointerv Surg doi: 10.1136/neurintsurg-2021-018631 – volume: 13 start-page: 594 year: 2021 ident: R7 article-title: Association between clot composition and stroke origin in mechanical thrombectomy patients: analysis of the Stroke Thromboembolism Registry of Imaging and Pathology publication-title: J NeuroIntervent Surg doi: 10.1136/neurintsurg-2020-017167 – volume: 48 start-page: 2206 year: 2017 ident: R8 article-title: Ischemic Stroke: What Does the Histological Composition Tell Us About the Origin of the Thrombus? publication-title: Stroke doi: 10.1161/STROKEAHA.117.016590 – volume: 130 start-page: 278 year: 2012 ident: R3 article-title: Thrombus components in cardioembolic and atherothrombotic strokes publication-title: Thromb Res doi: 10.1016/j.thromres.2012.04.008 – volume: 269 start-page: 1913 year: 2022 ident: R1 article-title: Does prior administration of rtPA influence acute ischemic stroke clot composition? Findings from the analysis of clots retrieved with mechanical thrombectomy from the RESTORE registry publication-title: J Neurol doi: 10.1007/s00415-021-10758-5 – volume: 14 year: 2019 ident: R22 article-title: Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots publication-title: PLoS ONE doi: 10.1371/journal.pone.0225841 – volume: 52 start-page: 2151 year: 2024 ident: R2 article-title: Contribution of Red Blood Cells and Platelets to Blood Clot Computed Tomography Imaging and Compressive Mechanical Characteristics publication-title: Ann Biomed Eng doi: 10.1007/s10439-024-03515-y – volume: 13 start-page: 1111 year: 2021 ident: R6 article-title: Per-pass analysis of acute ischemic stroke clots: impact of stroke etiology on extracted clot area and histological composition publication-title: J Neurointerv Surg doi: 10.1136/neurintsurg-2020-016966 – volume: 13 year: 2022 ident: R31 article-title: The white blood cell count to mean platelet volume ratio for ischemic stroke patients after intravenous thrombolysis publication-title: Front Immunol doi: 10.3389/fimmu.2022.995911 – volume: 7 start-page: 353 year: 2022 ident: R15 article-title: Characterising acute ischaemic stroke thrombi: insights from histology, imaging and emerging impedance-based technologies publication-title: Stroke Vasc Neurol doi: 10.1136/svn-2021-001038 – volume: 13 year: 2022 ident: R26 article-title: Composition and Organization of Acute Ischemic Stroke Thrombus: A Wealth of Information for Future Thrombolytic Strategies publication-title: Front Neurol doi: 10.3389/fneur.2022.870331 – volume: 31 start-page: 753 year: 2021 ident: R29 article-title: Thrombus Histology of Basilar Artery Occlusions : Are There Differences to the Anterior Circulation? publication-title: Clin Neuroradiol doi: 10.1007/s00062-020-00964-5 – year: 2023 ident: R17 article-title: Identifying ex vivo acute ischemic stroke thrombus composition using electrochemical impedance spectroscopy publication-title: Interv Neuroradiol doi: 10.1177/15910199231175377 – volume: 10 year: 2022 ident: R25 article-title: Investigation of Blood Coagulation Using Impedance Spectroscopy: Toward Innovative Biomarkers to Assess Fibrinogenesis and Clot Retraction publication-title: Biomedicines doi: 10.3390/biomedicines10081833 – volume: 16 year: 2020 ident: R23 article-title: Orbit Image Analysis: An open-source whole slide image analysis tool publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1007313 – volume: 36 start-page: 1756 year: 2015 ident: R4 article-title: Histologic Analysis of Retrieved Clots in Acute Ischemic Stroke: Correlation with Stroke Etiology and Gradient-Echo MRI publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A4402 – volume: 11 start-page: 1036 year: 2016 ident: R10 article-title: Histologic features of acute thrombi retrieved from stroke patients during mechanical reperfusion therapy publication-title: Int J Stroke doi: 10.1177/1747493016641965 – volume: 21 start-page: 215 year: 2014 ident: R32 article-title: White blood cell count is an independent predictor of outcomes after acute ischaemic stroke publication-title: Eur J Neurol doi: 10.1111/ene.12233 – volume: 50 start-page: 1907 year: 2019 ident: R5 article-title: Platelet-Rich Emboli in Cerebral Large Vessel Occlusion Are Associated With a Large Artery Atherosclerosis Source publication-title: Stroke doi: 10.1161/STROKEAHA.118.024543 – volume: 9 year: 2014 ident: R11 article-title: Histopathologic composition of cerebral thrombi of acute stroke patients is correlated with stroke subtype and thrombus attenuation publication-title: PLoS One doi: 10.1371/journal.pone.0088882 – volume: 23 year: 2022 ident: R27 article-title: Clot Morphology in Acute Ischemic Stroke Decision Making publication-title: Int J Mol Sci doi: 10.3390/ijms232012373 – volume: 18 start-page: 1256 year: 2020 ident: R24 article-title: Large and small platelets-(When) do they differ? publication-title: J Thromb Haemost doi: 10.1111/jth.14788 – volume: 55 start-page: 2804 year: 2024 ident: R28 article-title: EXCELLENT Registry: A Prospective, Multicenter, Global Registry of Endovascular Stroke Treatment With the EMBOTRAP Device publication-title: Stroke doi: 10.1161/STROKEAHA.124.047324 |
SSID | ssj0067575 |
Score | 2.3598692 |
SecondaryResourceType | online_first |
Snippet | BackgroundClot composition plays a key role in the pathophysiology of Acute Ischemic Stroke (AIS) and impacts the effectiveness of treatments such as... Clot composition plays a key role in the pathophysiology of Acute Ischemic Stroke (AIS) and impacts the effectiveness of treatments such as thrombolysis and... |
SourceID | pubmed bmj |
SourceType | Index Database Publisher |
SubjectTerms | Ischemic stroke Stroke Thrombectomy |
Title | Electrical impedance spectroscopy signatures of red blood cells and platelets in acute ischemic stroke clots in the Clotbase International Registry: Significance for etiology and first pass effect |
URI | https://jnis.bmj.com/content/early/2025/07/15/jnis-2025-023658.full https://www.ncbi.nlm.nih.gov/pubmed/40664428 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT9wwELZ4SBWXqlVLoQ80h_ZoNtnEjtMbWoFQpUVVCwhOkR8TFB7ZFQmH_r_-sM7YuwfaS49WItvKZ3u-cWa-EeKzrYyd6oAyd7mXJbWkbbNS1kUog9GGFk2M8j3Tpxfltyt1tSFm61yY274bDt3DbUpnYIGmfpwga_2ym64mWTXJVXxLcluyALoyh3xXvSm2WZyL4_rq6_P1cUyEOKrtkpmsJR3FZv2vstD_dLMjXpB9I4bAtdk3aRZ_cc1oc05eiZcrsghHCd3XYgP7N-L3caxcwx8XOiK9gXGDmDHJypSL5S_goIwo2DnAooVHDBDj04Fv6QewfYDlPXFMgmyArgfrn0aEjvxcjpSHgfq5Q_D3i_SYKCLMqMEGD57dIMIPvInV4r7CTxqSo47iZIgIA44pESYO13ZEMmFJRB1SAMlbcXFyfD47lataDNLRJh2l89rlIXfe15U3ddW2GdJpEXQWMoW6miJa7YMlB6wtpzZHVReIlXIEuTWhKHbFVr_ocU8AkbwisKyY8bq0XllVh8yEmnVpPOZuX3yhT9-s9tLQRDel0A2j1TBaTUJrX7xL4DTLJMzRrMF7_589fBA7Cf1K5uqj2Bofn_ATcYzRHcQ1dCC2j2bz-SW1zr7P_wCtqtG1 |
linkProvider | BMJ Publishing Group Ltd |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELbaIkEvCMSrpcAc4Ohusokf4VatWi1QeoCtVE6RY09Q-siumvTQ_8cPY8bePQAXjlYi28o3tr9xZr4R4r0z1k11QJk3uZcltaRrs1JWRSiD1ZaMJkb5nun5efn5Ql1sidkmF-ay74bD5uYypTOwQFM_TpC1ftlNV5PMTHIV35LcliyAruwh31VviwfGkHvOZv5jsdmOiRBHtV06JitJW7Hd_Kss9D_d7IqHdL4RQ-Da7Ns0i7-4ZjxzTp6Ix2uyCEcJ3adiC_tn4tdxrFzDHxc6Ir2BcYOYMcnKlMvVPXBQRhTsHGDZwi0GiPHpwLf0A7g-wOqaOCZBNkDXg_N3I0JHfi5HysNA_Vwh-OtlekwUEWbU4AMP_rhBhG_4M1aL-wjfaUiOOoqTISIMOKZEmDhc2xHJhBURdUgBJM_F-cnxYjaX61oMsqFFOsrG6yYPeeN9ZbytTNtmSLtF0FnIFGozRXTaB0cOWFtOXY6qKhCNaghyZ0NRvBA7_bLHVwKI5BWBZcWs16XzyqkqZDZUrEvjMW_2xAf69PV6LQ11dFMKXTNaNaNVJ7T2xMsETr1Kwhz1Brz9_-zhnXg0X3w9rU8_nX15LXaTJRiZqwOxM97e4RviG2PzNtrTbxmU0fo |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELbaIlW9VCBeLa85wNG7ySZ-hBsqXcpDFYJWKqfIsSdVSslGTXrg__HDmLF3D8CFo5XItvKNPZ-dmW-EeOmMdQsdUOZN7mVJLenarJRVEcpgtSWjiVG-p_rkvPxwoS62xLtNLsxV342z5sdVSmdggaZ-miNr_fIxXc0zM89VfEtyW7IAurIzvqueDaHdFneMKVQ09W9nmy2ZSHFU3CVXWUnaju3mf2Wh_-lqT-ySjyOWwPXZt2kmf_HN6HeWd8X-mjDCm4TwPbGF_X3x6zhWr-EPDB0R38DYQcyaZHXK1fATODAjinaOsGrhBgPEGHXgm_oRXB9guCaeSbCN0PXg_O2E0NFZl6PlYaR-viP461V6TDQRjqjBTg_-uEWEL3gZK8a9hq80JEcexckQGQacUjJMHK7tiGjCQGQdUhDJA3G-PD47OpHregyyoYU6ycbrJg95431lvK1M22ZIO0bQWcgUarNAdNoHR4ewtly4HFVVIBrVEOzOhqJ4KHb6VY-PBRDRKwJLi1mvS-eVU1XIbKhYm8Zj3hyIV_Tp6_V6Gut4VCl0zWjVjFad0DoQjxI49ZDEOeoNeIf_2cMLsfv57bL-9P704xOxlwzByFw9FTvTzS0-I8oxNc-jOf0GPBDTEg |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Electrical+impedance+spectroscopy+signatures+of+red+blood+cells+and+platelets+in+acute+ischemic+stroke+clots+in+the+Clotbase+International+Registry%3A+Significance+for+etiology+and+first+pass+effect&rft.jtitle=Journal+of+neurointerventional+surgery&rft.au=Sahin%2C+Cansu&rft.au=Giraud%2C+Alice&rft.au=Sak%2C+Nazan+G%C3%BCner&rft.au=Liu%2C+Wenyi&rft.date=2025-07-15&rft.pub=BMJ+Publishing+Group+Ltd&rft.issn=1759-8478&rft.eissn=1759-8486&rft_id=info:doi/10.1136%2Fjnis-2025-023658&rft_id=info%3Apmid%2F40664428&rft.externalDBID=jnis&rft.externalDocID=neurintsurg |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1759-8478&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1759-8478&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1759-8478&client=summon |