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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2204697000

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

About this item

Full title

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

Publisher

England: BMJ Publishing Group LTD

Journal title

Journal of neurointerventional surgery, 2019-11, Vol.11 (11), p.1145-1149

Language

English

Formats

Publication information

Publisher

England: BMJ Publishing Group LTD

More information

Scope and Contents

Contents

BackgroundCurrent 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.Materials and methodHistopathological 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 χ2 test.ResultsEighty-five patients were included in the study. The mean platelet density of the clots was...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2204697000

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2204697000

Other Identifiers

ISSN

1759-8478

E-ISSN

1759-8486

DOI

10.1136/neurintsurg-2018-014637

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