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Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

ABSTRACT: Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. Following H&E staining, quantification of clot components was performed by two different methods: a pathologist using a reference standard method (Adobe Photoshop CC) and an experienced researcher using Orbit Image Analysis. Following quantification, the clots were categorized into 3 types: RBC dominant (?60% RBCs), Mixed and Fibrin dominant (?60% Fibrin). Correlations between clot composition and Hounsfield Units density on Computed Tomography (CT) were assessed. There was a significant correlation between the components of clots as quantified by the Orbit Image Analysis algorithm and the reference standard approach (? = 0.944**, p < 0.001, n = 150). A significant relationship was found between clot composition (RBC-Rich, Mixed, Fibrin-Rich) and the presence of a Hyperdense artery sign using the algorithmic method (X2(2) = 6.712, p = 0.035*) but not using the reference standard method (X2(2) = 3.924, p = 0.141). Orbit Image Analysis machine learning software can be used for the histological quantification of AIS clots, reproducibly generating composition analyses similar to current reference standard methods.

SUBMITTER: Fitzgerald S

PROVIDER: S-EPMC6894878 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

Fitzgerald Seán S Wang Shunli S Dai Daying D Murphree Dennis H DH Pandit Abhay A Douglas Andrew A Rizvi Asim A Kadirvel Ramanathan R Gilvarry Michael M McCarthy Ray R Stritt Manuel M Gounis Matthew J MJ Brinjikji Waleed W Kallmes David F DF Doyle Karen M KM

PloS one 20191205 12

Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. Following H&E staining, quantification of clot components was performed by two different methods: a pathologist using a reference standard method (Adobe Photoshop CC) and an experienced researcher using Orbit Image Analysis. Following quantification, ...[more]

PMID: 31805096

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Dataset Information

Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

Publications

Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

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