دورية أكاديمية
Thrombus imaging characteristics within acute ischemic stroke: similarities and interdependence
| العنوان: | Thrombus imaging characteristics within acute ischemic stroke: similarities and interdependence |
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| المؤلفون: | Arrarte Terreros, Nerea, Bruggeman, Agnetha AE, Kappelhof, Manon, Tolhuisen, Manon L, Brouwer, Josje, Hoving, Jan W, Konduri, Praneeta R, van Kranendonk, Katinka R, Dutra, Bruna G, Alves, Heitor CBR, Dippel, Diederik WJ, van Zwam, Wim H, Beenen, Ludo FM, Yo, Lonneke SF, van Bavel, Ed, Majoie, Charles BLM, Marquering, Henk A, MR CLEAN Registry Investigators, Dippel, Diederik W, Lugt, Aad van, Roos, Yvo BWEM, Oostenbrugge, Robert J, Zwam, Wim H, Boiten, Jelis, Vos, Jan Albert, Jansen, Ivo GH, Mulder, Maxim JHL, Goldhoorn, Robert Jan, Compagne, Kars CJ, Hartog, Sanne J, Hinsenveld, Wouter H, Roozenbeek, Bob, Es, Adriaan CGM, Emmer, Bart J, Coutinho, Jonathan M, Schonewille, Wouter J, Wermer, Marieke JH, Walderveen, Marianne AA, Staals, Julie, Hofmeijer, Jeannette, Martens, Jasper M, Nijeholt, Geert J, Bruijn, Sebastiaan F, Dijk, Lukas C, Bart Worp, H, Lo, Rob H, Dijk, Ewoud J, Boogaarts, Hieronymus D, de Vries, J, Kort, Paul LM, Tuijl, Julia van, Peluso, Jo P, Fransen, Puck, Berg, Jan SP van, Hasselt, Boudewijn AAM, Aerden, Leo AM, Dallinga, RenéJ, Uyttenboogaart, Maarten, Eschgi, Omid, Bokkers, Reinoud PH, Schreuder, Tobien HCML, Heijboer, Roel JJ, Keizer, Koos, Hertog, Heleen den, Bulut, Tomas, Brouwers, Paul JAM, Nijeholt, Geert Lycklama, Sprengers, Marieke ES, Jenniskens, Sjoerd FM, Berg, Renévan, Yoo, Albert J, Postma, Alida A, Roosendaal, Stefan D, Kallen, Bas FW van, Wijngaard, Ido R, Bot, Joost, Doormaal, Pieter-Jan, Meijer, Anton, Ghariq, Elyas, Proosdij, Marc P, Menno Krietemeijer, G, Lo, Rob, Dinkelaar, Wouter, Appelman, Auke PA, Hammer, Bas, Pegge, Sjoert, Hoorn, Anouk van, Vinke, Saman, Zwenneke Flach, H, Lingsma, Hester F, Ghannouti, Naziha el, Sterrenberg, Martin, Pellikaan, Wilma, Sprengers, Rita, Elfrink, Marjan, Simons, Michelle, Vossers, Marjolein, Meris, Joke de, Vermeulen, Tamara, Geerlings, Annet, Vemde, Gina van, Simons, Tiny, Messchendorp, Gert, Nicolaij, Nynke, Bongenaar, Hester, Bodde, Karin, Kleijn, Sandra, Lodico, Jasmijn, Droste, Hanneke, Wollaert, Maureen, Verheesen, Sabrina, Jeurrissen, D, Bos, Erna, Drabbe, Yvonne, Sandiman, Michelle, Aaldering, Nicoline, Zweedijk, Berber, Vervoort, Jocova, Ponjee, Eva, Romviel, Sharon, Kanselaar, Karin, Barning, Denn, Venema, Esmee, Chalos, Vicky, Geuskens, Ralph R, Straaten, Tim van, Ergezen, Saliha, Harmsma, Roger RM, Muijres, Daan, Jong, Anouk de, Berkhemer, Olvert A, Boers, Anna MM, Huguet, J, Groot, PFC, Mens, Marieke A, Kranendonk, Katinka R van, Treurniet, Kilian M, Alves, Heitor, Weterings, Annick J, Kirkels, Eleonora LF, Voogd, Eva JHF, Schupp, Lieve M, Collette, Sabine L, Groot, Adrien ED, LeCouffe, Natalie E, Prasetya, Haryadi, Terreros, Nerea Arrarte, Ramos, Lucas A |
| بيانات النشر: | BMJ Publishing Group Ltd |
| سنة النشر: | 2023 |
| المجموعة: | HighWire Press (Stanford University) |
| مصطلحات موضوعية: | Ischemic stroke |
| الوصف: | Background The effects of thrombus imaging characteristics on procedural and clinical outcomes after ischemic stroke are increasingly being studied. These thrombus characteristics – for eg, size, location, and density – are commonly analyzed as separate entities. However, it is known that some of these thrombus characteristics are strongly related. Multicollinearity can lead to unreliable prediction models. We aimed to determine the distribution, correlation and clustering of thrombus imaging characteristics based on a large dataset of anterior-circulation acute ischemic stroke patients. Methods We measured thrombus imaging characteristics in the MR CLEAN Registry dataset, which included occlusion location, distance from the intracranial carotid artery to the thrombus (DT), thrombus length, density, perviousness, and clot burden score (CBS). We assessed intercorrelations with Spearman’s coefficient (ρ) and grouped thrombi based on 1) occlusion location and 2) thrombus length, density and perviousness using unsupervised clustering. Results We included 934 patients, of which 22% had an internal carotid artery (ICA) occlusion, 61% M1, 16% M2, and 1% another occlusion location. All thrombus characteristics were significantly correlated. Higher CBS was strongly correlated with longer DT (ρ=0.67, p<0.01), and moderately correlated with shorter thrombus length (ρ=−0.41, p<0.01). In more proximal occlusion locations, thrombi were significantly longer, denser, and less pervious. Unsupervised clustering analysis resulted in four thrombus groups; however, the cohesion within and distinction between the groups were weak. Conclusions Thrombus imaging characteristics are significantly intercorrelated – strong correlations should be considered in future predictive modeling studies. Clustering analysis showed there are no distinct thrombus archetypes – novel treatments should consider this thrombus variability. |
| نوع الوثيقة: | text |
| وصف الملف: | text/html |
| اللغة: | English |
| العلاقة: | http://jnis.bmj.com/cgi/content/short/15/e1/e60Test; http://dx.doi.org/10.1136/jnis-2022-019134Test |
| DOI: | 10.1136/jnis-2022-019134 |
| الإتاحة: | https://doi.org/10.1136/jnis-2022-019134Test http://jnis.bmj.com/cgi/content/short/15/e1/e60Test |
| حقوق: | Copyright (C) 2023, Society of NeuroInterventional Surgery |
| رقم الانضمام: | edsbas.939F2B64 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1136/jnis-2022-019134 |
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