Literature DB >> 30908160

Better Collaterals Are Independently Associated With Post-Thrombolysis Recanalization Before Thrombectomy.

Pierre Seners1, Pauline Roca2, Laurence Legrand2, Guillaume Turc1, Jean-Philippe Cottier3, Tae-Hee Cho4, Caroline Arquizan5, Serge Bracard6, Canan Ozsancak7, Wagih Ben Hassen2, Olivier Naggara2, Stéphanie Lion2, Séverine Debiais8, Yves Berthezene9, Vincent Costalat10, Sébastien Richard11, Christophe Magni12, Jean-Louis Mas1, Jean-Claude Baron1, Catherine Oppenheim2.   

Abstract

Background and Purpose- In acute stroke patients with large vessel occlusion, the goal of intravenous thrombolysis (IVT) is to achieve early recanalization (ER). Apart from occlusion site and thrombus length, predictors of early post-IVT recanalization are poorly known. Better collaterals might also facilitate ER, for instance, by improving delivery of the thrombolytic agent to both ends of the thrombus. In this proof-of-concept study, we tested the hypothesis that good collaterals independently predict post-IVT recanalization before thrombectomy. Methods- Patients from the registries of 6 French stroke centers with the following criteria were included: (1) acute stroke with large vessel occlusion treated with IVT and referred for thrombectomy between May 2015 and March 2017; (2) pre-IVT brain magnetic resonance imaging, including diffusion-weighted imaging, T2*, MR angiography, and dynamic susceptibility contrast perfusion-weighted imaging; and (3) ER evaluated ≤3 hours from IVT start on either first angiographic run or noninvasive imaging. A collateral flow map derived from perfusion-weighted imaging source data was automatically generated, replicating a previously validated method. Thrombus length was measured on T2*-based susceptibility vessel sign. Results- Of 224 eligible patients, 37 (16%) experienced ER. ER occurred in 10 of 83 (12%), 17 of 116 (15%), and 10 of 25 (40%) patients with poor/moderate, good, and excellent collaterals, respectively. In multivariable analysis, better collaterals were independently associated with ER ( P=0.029), together with shorter thrombus ( P<0.001) and more distal occlusion site ( P=0.010). Conclusions- In our sample of patients with stroke imaged with perfusion-weighted imaging before IVT and intended for thrombectomy, better collaterals were independently associated with post-IVT recanalization, supporting our hypothesis. These findings strengthen the idea that advanced imaging may play a key role for personalized medicine in identifying patients with large vessel occlusion most likely to benefit from IVT in the thrombectomy era.

Entities:  

Keywords:  collateral circulation; magnetic resonance imaging; perfusion imaging; stroke; thrombectomy

Mesh:

Substances:

Year:  2019        PMID: 30908160     DOI: 10.1161/STROKEAHA.118.022815

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  10 in total

1.  Biomechanics and hemodynamics of stent-retrievers.

Authors:  Anna Luisa Kühn; Zeynep Vardar; Afif Kraitem; Robert M King; Vania Anagnostakou; Ajit S Puri; Matthew J Gounis
Journal:  J Cereb Blood Flow Metab       Date:  2020-05-19       Impact factor: 6.200

2.  Prediction of mTICI 3 recanalization and clinical outcomes in endovascular thrombectomy for acute ischemic stroke: a retrospective study in the Taiwan registry.

Authors:  Ching-Chung Ko; Hon-Man Liu; Tai-Yuan Chen; Te-Chang Wu; Li-Kai Tsai; Sung-Chun Tang; Yu-Kun Tsui; Jiann-Shing Jeng
Journal:  Neurol Sci       Date:  2020-10-10       Impact factor: 3.307

3.  A Deep Learning-Based Automatic Collateral Assessment in Patients with Acute Ischemic Stroke.

Authors:  Yoon-Chul Kim; Jong-Won Chung; Oh Young Bang; Mihee Hong; Woo-Keun Seo; Gyeong-Moon Kim; Eung Yeop Kim; Jin Soo Lee; Ji Man Hong; David S Liebeskind; Jeffrey L Saver
Journal:  Transl Stroke Res       Date:  2022-05-21       Impact factor: 6.829

Review 4.  Collateral Status and Outcomes after Thrombectomy.

Authors:  Jin Soo Lee; Oh Young Bang
Journal:  Transl Stroke Res       Date:  2022-06-10       Impact factor: 6.829

Review 5.  Endovascular Treatment for Posterior Circulation Stroke: Ways to Maximize Therapeutic Efficacy.

Authors:  Seong-Joon Lee; Ji Man Hong; Jong S Kim; Jin Soo Lee
Journal:  J Stroke       Date:  2022-05-31       Impact factor: 8.632

6.  Clot Burden Score and Collateral Status and Their Impact on Functional Outcome in Acute Ischemic Stroke.

Authors:  I Derraz; M Pou; J Labreuche; L Legrand; S Soize; M Tisserand; C Rosso; M Piotin; G Boulouis; C Oppenheim; O Naggara; S Bracard; F Clarençon; B Lapergue; R Bourcier
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-12       Impact factor: 3.825

7.  Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion.

Authors:  Young Dae Kim; Hyo Suk Nam; Joonsang Yoo; Hyungjong Park; Sung-Il Sohn; Jeong-Ho Hong; Byung Moon Kim; Dong Joon Kim; Oh Young Bang; Woo-Keun Seo; Jong-Won Chung; Kyung-Yul Lee; Yo Han Jung; Hye Sun Lee; Seong Hwan Ahn; Dong Hoon Shin; Hye-Yeon Choi; Han-Jin Cho; Jang-Hyun Baek; Gyu Sik Kim; Kwon-Duk Seo; Seo Hyun Kim; Tae-Jin Song; Jinkwon Kim; Sang Won Han; Joong Hyun Park; Sung Ik Lee; JoonNyung Heo; Jin Kyo Choi; Ji Hoe Heo
Journal:  J Stroke       Date:  2021-05-31       Impact factor: 6.967

8.  Selection of Candidates for Endovascular Treatment: Characteristics According to Three Different Selection Methods.

Authors:  Jong-Won Chung; Beom Joon Kim; Han-Gil Jeong; Woo-Keun Seo; Gyeong-Moon Kim; Cheolkyu Jung; Moon-Ku Han; Hee-Joon Bae; Oh Young Bang
Journal:  J Stroke       Date:  2019-09-30       Impact factor: 6.967

9.  Determining Clinically-Viable Biomarkers for Ischaemic Stroke Through a Mechanistic and Machine Learning Approach.

Authors:  Ivan Benemerito; Ana Paula Narata; Andrew Narracott; Alberto Marzo
Journal:  Ann Biomed Eng       Date:  2022-04-01       Impact factor: 4.219

10.  Contrast enhancement by location and volume is associated with long-term outcome after thrombectomy in acute ischemic stroke.

Authors:  Guo-Can Chang; Dai-Chao Ma; Wei Li; Jin Qiu; Xian-Hui Sun; Yong-Gang Zhao; Xin Liu; Zi-Ai Zhao; Liang Liu; Thanh N Nguyen; Hui-Sheng Chen
Journal:  Sci Rep       Date:  2022-10-10       Impact factor: 4.996

  10 in total

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