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

Authors :
Fitzgerald ST
Wang S
Dai D
Douglas A
Kadirvel R
Gounis MJ
Chueh J
Puri AS
Layton KF
Thacker IC
Hanel RA
Sauvageau E
Aghaebrahim A
Almekhlafi MA
Demchuk AM
Nogueira RG
Pereira VM
Kvamme P
Kayan Y
Delgado Almandoz JE
Yoo AJ
Kallmes DF
Doyle KM
Brinjikji W
Source :
Journal of neurointerventional surgery [J Neurointerv Surg] 2019 Nov; Vol. 11 (11), pp. 1145-1149. Date of Electronic Publication: 2019 Apr 05.
Publication Year :
2019

Abstract

Background: Current studies on clot characterization in acute ischemic stroke focus on fibrin and red blood cell composition. Few studies have examined platelet composition in acute ischemic stroke clots. We characterize clot composition using the Martius Scarlet Blue stain and assess associations between platelet density and CT density.<br />Materials and Method: Histopathological analysis of the clots collected as part of the multi-institutional STRIP registry was performed using Martius Scarlet Blue stain and the composition of the clots was quantified using Orbit Image Analysis (www.orbit.bio) machine learning software. Prior to endovascular treatment, each patient underwent non-contrast CT (NCCT) and the CT density of each clot was measured. Correlations between clot components and clinical information were assessed using the χ <superscript>2</superscript> test.<br />Results: Eighty-five patients were included in the study. The mean platelet density of the clots was 15.7% (2.5-72.5%). There was a significant correlation between platelet-rich clots and the absence of hyperdensity on NCCT, (ρ=0.321, p=0.003*, n=85). Similarly, there was a significant inverse correlation between the percentage of platelets and the mean Hounsfield Units on NCCT (ρ=-0.243, p=0.025*, n=85).<br />Conclusion: Martius Scarlet Blue stain can identify patients who have platelet-rich clots. Platelet-rich clots are isodense on NCCT.<br />Competing Interests: Competing interests: None declared.<br /> (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Details

Language :
English
ISSN :
1759-8486
Volume :
11
Issue :
11
Database :
MEDLINE
Journal :
Journal of neurointerventional surgery
Publication Type :
Academic Journal
Accession number :
30952688
Full Text :
https://doi.org/10.1136/neurintsurg-2018-014637