Literature DB >> 33823621

Per pass analysis of thrombus composition retrieved by mechanical thrombectomy.

Mehdi Abbasi1,2, Peter Kvamme3, Kennith F Layton4, Ricardo A Hanel5, Mohammed A Almekhlafi6, Josser E Delgado7, Vitor M Pereira8, Biraj M Patel9, Babak S Jahromi10, Albert J Yoo11, Raul G Nogueira12, Matthew J Gounis13, Seán Fitzgerald1,14, Oana M Mereuta1,14, Daying Dai1, Ramanathan Kadirvel1, David F Kallmes1,2, Karen M Doyle14, Luis E Savastano1,2, Harry J Cloft1,2, Yang Liu1, Ike C Thacker4, Amin Aghaebrahim5, Eric Sauvageau5, Andrew M Demchuk6, Yasha Kayan7, Alexander Z Copelan7, John Entwistle9, Pouya Nazari10, Donald Robert Cantrell10, Parita Bhuva11, Jazba Soomro11, Diogo C Haussen12, Alhamza Al-Bayati12, Mahmoud Mohammaden12, Leonardo Pisani12, Gabriel Rodrigues12, Ajit S Puri13, Waleed Brinjikji1,2.   

Abstract

BACKGROUND AND AIM: Mechanical thrombectomy (MT) for large vessel occlusion often requires multiple passes to retrieve the entire thrombus load. In this multi-institutional study we sought to examine the composition of thrombus fragments retrieved with each pass during MT.
METHODS: Patients who required multiple passes during thrombectomy were included. Histopathological evaluation of thrombus fragments retrieved from each pass was performed using Martius Scarlet Blue staining and the composition of each thrombus component including RBC, fibrin and platelet was determined using image analysis software.
RESULTS: 154 patients underwent MT and 868 passes was performed which resulted in 263 thrombus fragments retrieval. The analysis of thrombus components per pass showed higher RBC, lower fibrin and platelet composition in the pass 1 and 2 when compared to pass 3 and passes 4 or more combined (P values <0.05). There were no significant differences between thrombus fragments retrieved in pass 1 and pass 2 in terms of RBC, WBC, fibrin, and platelet composition (P values >0.05). Similarly, when each composition of thrombus fragments retrieved in pass 3 and passes 4 or more combined were compared with each other, no significant difference was noted (P values >0.05).
CONCLUSION: Our findings confirm that thrombus fragments retrieved with each pass differed significantly in histological content. Fragments in the first passes were associated with lower fibrin and platelet composition compared to fragments retrieved in passes three and four or higher. Also, thrombus fragments retrieved after failed pass were associated with higher fibrin and platelet components.

Entities:  

Keywords:  Stroke; per pass analysis; thrombectomy; thrombus composition

Mesh:

Substances:

Year:  2021        PMID: 33823621      PMCID: PMC8673903          DOI: 10.1177/15910199211009119

Source DB:  PubMed          Journal:  Interv Neuroradiol        ISSN: 1591-0199            Impact factor:   1.610


  16 in total

1.  The impact of thromboemboli histology on the performance of a mechanical thrombectomy device.

Authors:  I Yuki; I Kan; H V Vinters; R H Kim; A Golshan; F A Vinuela; J W Sayre; Y Murayama; F Vinuela
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-29       Impact factor: 3.825

2.  Analysis of thrombi retrieved from cerebral arteries of patients with acute ischemic stroke.

Authors:  Victor J Marder; Dennis J Chute; Sidney Starkman; Anna M Abolian; Chelsea Kidwell; David Liebeskind; Bruce Ovbiagele; Fernando Vinuela; Gary Duckwiler; Reza Jahan; Paul M Vespa; Scott Selco; Venkatakrishna Rajajee; Doojin Kim; Nerses Sanossian; Jeffrey L Saver
Journal:  Stroke       Date:  2006-06-22       Impact factor: 7.914

3.  Clot friction variation with fibrin content; implications for resistance to thrombectomy.

Authors:  Gillian M Gunning; Kevin McArdle; Mahmood Mirza; Sharon Duffy; Michael Gilvarry; Patrick A Brouwer
Journal:  J Neurointerv Surg       Date:  2017-01-02       Impact factor: 5.836

4.  Ischemic Stroke: Histological Thrombus Composition and Pre-Interventional CT Attenuation Are Associated with Intervention Time and Rate of Secondary Embolism.

Authors:  Peter B Sporns; Uta Hanning; Wolfram Schwindt; Aglae Velasco; Boris Buerke; Christian Cnyrim; Jens Minnerup; Walter Heindel; Astrid Jeibmann; Thomas Niederstadt
Journal:  Cerebrovasc Dis       Date:  2017-10-31       Impact factor: 2.762

5.  Platelet-rich clots as identified by Martius Scarlet Blue staining are isodense on NCCT.

Authors:  Sean T Fitzgerald; Shunli Wang; Daying Dai; Andrew Douglas; Ramanathan Kadirvel; Matthew J Gounis; Juyu Chueh; Ajit S Puri; Kennith F Layton; Ike C Thacker; Ricardo A Hanel; Eric Sauvageau; Amin Aghaebrahim; Mohammed A Almekhlafi; Andrew M Demchuk; Raul G Nogueira; Vitor M Pereira; Peter Kvamme; Yasha Kayan; Josser E Delgado Almandoz; Albert J Yoo; David F Kallmes; Karen M Doyle; Waleed Brinjikji
Journal:  J Neurointerv Surg       Date:  2019-04-05       Impact factor: 5.836

6.  Per-Pass Analysis of Thrombus Composition in Patients With Acute Ischemic Stroke Undergoing Mechanical Thrombectomy.

Authors:  Sharon Duffy; Ray McCarthy; Michael Farrell; Sunitha Thomas; Paul Brennan; Sarah Power; Alan O'Hare; Liam Morris; Eleanor Rainsford; Eugene MacCarthy; John Thornton; Michael Gilvarry
Journal:  Stroke       Date:  2019-05       Impact factor: 7.914

7.  CT and MRI early vessel signs reflect clot composition in acute stroke.

Authors:  David S Liebeskind; Nerses Sanossian; William H Yong; Sidney Starkman; Michael P Tsang; Antonio L Moya; David D Zheng; Anna M Abolian; Doojin Kim; Latisha K Ali; Samir H Shah; Amytis Towfighi; Bruce Ovbiagele; Chelsea S Kidwell; Satoshi Tateshima; Reza Jahan; Gary R Duckwiler; Fernando Viñuela; Noriko Salamon; J Pablo Villablanca; Harry V Vinters; Victor J Marder; Jeffrey L Saver
Journal:  Stroke       Date:  2011-03-10       Impact factor: 7.914

8.  First Pass Effect: A New Measure for Stroke Thrombectomy Devices.

Authors:  Osama O Zaidat; Alicia C Castonguay; Italo Linfante; Rishi Gupta; Coleman O Martin; William E Holloway; Nils Mueller-Kronast; Joey D English; Guilherme Dabus; Tim W Malisch; Franklin A Marden; Hormozd Bozorgchami; Andrew Xavier; Ansaar T Rai; Michael T Froehler; Aamir Badruddin; Thanh N Nguyen; M Asif Taqi; Michael G Abraham; Albert J Yoo; Vallabh Janardhan; Hashem Shaltoni; Roberta Novakovic; Alex Abou-Chebl; Peng R Chen; Gavin W Britz; Chung-Huan J Sun; Vibhav Bansal; Ritesh Kaushal; Ashish Nanda; Raul G Nogueira
Journal:  Stroke       Date:  2018-02-19       Impact factor: 7.914

9.  Impact of Retriever Passes on Efficacy and Safety Outcomes of Acute Ischemic Stroke Treated with Mechanical Thrombectomy.

Authors:  Yongjie Bai; Jie Pu; Huaiming Wang; Dong Yang; Yonggang Hao; Haowen Xu; Meng Zhang; Yu Geng; Yue Wan; Wei Wang; Hao Zhang; Wenjie Zi; Xinfeng Liu; Gelin Xu
Journal:  Cardiovasc Intervent Radiol       Date:  2018-07-11       Impact factor: 2.740

10.  Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

Authors:  Seán Fitzgerald; Shunli Wang; Daying Dai; Dennis H Murphree; Abhay Pandit; Andrew Douglas; Asim Rizvi; Ramanathan Kadirvel; Michael Gilvarry; Ray McCarthy; Manuel Stritt; Matthew J Gounis; Waleed Brinjikji; David F Kallmes; Karen M Doyle
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

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  2 in total

1.  Diverse thrombus composition in thrombectomy stroke patients with longer time to recanalization.

Authors:  Mehdi Abbasi; Jorge Arturo Larco; Madalina Oana Mereuta; Yang Liu; Seán Fitzgerald; Daying Dai; Ramanathan Kadirvel; Luis Savastano; David F Kallmes; Waleed Brinjikji
Journal:  Thromb Res       Date:  2021-11-27       Impact factor: 3.944

2.  Per-pass analysis of recanalization and good neurological outcome in thrombectomy for stroke: Systematic review and meta-analysis.

Authors:  Jorge Arturo Larco; Mehdi Abbasi; Yang Liu; Sarosh Irfan Madhani; Adnan Hussain Shahid; Ramanathan Kadirvel; Waleed Brinjikji; Luis E Savastano
Journal:  Interv Neuroradiol       Date:  2021-07-06       Impact factor: 1.764

  2 in total

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