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马蒂斯染色(Martius Scarlet Blue staining)识别的富血小板性血栓在 NCCT 上呈等密度。

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

机构信息

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

CÚRAM - Centre for Research in Medical Devices, National University of Ireland Galway, Galway, Ireland.

出版信息

J Neurointerv Surg. 2019 Nov;11(11):1145-1149. doi: 10.1136/neurintsurg-2018-014637. Epub 2019 Apr 5.

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.

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 test.

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).

CONCLUSION

Martius Scarlet Blue stain can identify patients who have platelet-rich clots. Platelet-rich clots are isodense on NCCT.

摘要

背景

目前关于急性缺血性脑卒中血栓中纤维蛋白和红细胞成分的研究较多。鲜有研究探讨急性缺血性脑卒中血栓中的血小板成分。本研究采用 Martius Scarlet Blue 染色来描述血栓的组成,并评估血小板密度与 CT 密度之间的相关性。

材料与方法

采用 Martius Scarlet Blue 染色对 STRIP 多中心注册研究中收集的血栓进行组织病理学分析,并使用 Orbit Image Analysis(www.orbit.bio)机器学习软件对血栓的组成进行定量分析。在血管内治疗前,每位患者均接受非增强 CT(NCCT)检查,并测量每个血栓的 CT 密度。采用 χ 检验评估血栓成分与临床资料之间的相关性。

结果

本研究共纳入 85 例患者。血栓中血小板的平均密度为 15.7%(2.5-72.5%)。富含血小板的血栓与 NCCT 上无高密度影之间存在显著相关性(ρ=0.321,p=0.003*,n=85)。同样,血小板百分比与 NCCT 上平均 Hounsfield 单位之间呈显著负相关(ρ=-0.243,p=0.025*,n=85)。

结论

Martius Scarlet Blue 染色可识别富含血小板的血栓。NCCT 上血小板丰富的血栓呈等密度。

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