ArticlePloS one2019
Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 79 citations in OpenAlex.
- Characterizing clot composition and stroke etiology through hounsfield units.Neuroradiology · 2026Article
- A multi-omics approach investigating thrombolysis resistance in acute ischemic stroke thrombi.Journal of thrombosis and thrombolysis · 2026Article
- Impact of neutrophil extracellular traps on the mechanical, radiomic, and histological properties of in vitro stroke clots.Acta neurologica Belgica · 2026Article
- Thrombus composition identifies distinct etiologic phenotypes in embolic stroke of undetermined source.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Electrical impedance spectroscopy signatures of red blood cells and platelets in acute ischemic stroke clots in the Clotbase International Registry: Significance for etiology and first pass effect.Journal of neurointerventional surgery · 2026Article
- Myofibre Density Reveals a Critical Threshold Around Age 6 in Steroid-Naïve Duchenne Muscular Dystrophy: A Retrospective Observational Study.Neuropathology and applied neurobiology · 2026Observational
- Clinical image analysis to build patient-specific models of acute ischemic stroke patients.Physical and engineering sciences in medicine · 2026Article
- Quantitative histopathological analysis of thrombi retrieved by mechanical thrombectomy and their association with stroke aetiology.Stroke and vascular neurology · 2025Article
- Inhibiting Monocyte Migration Reduces Arterial Thrombosis and Facilitates Thrombolysis.Stroke · 2025Article
- Identifying ex vivo acute ischemic stroke thrombus composition using electrochemical impedance spectroscopy.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- Endotheliitis and cytokine storm as a mechanism of clot formation in COVID-19 ischemic stroke patients: A histopathologic study of retrieved clots.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- Clot Composition and Ischemic Stroke Etiology: A Contemporary Narrative Review.Journal of clinical medicine · 2025Review
- Thrombus composition in ischaemic stroke: histological and radiological evaluation, and implications for acute clinical management.Journal of thrombosis and thrombolysis · 2025Review
- Sex-Based Differences in Thrombus Composition in Acute Ischemic Stroke.Stroke (Hoboken, N.J.) · 2025Article
- Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation.Cancer medicine · 2025Review
- Unraveling the Enigma: Correlating Thrombus Histopathology With the Number of Passes in Mechanical Thrombectomy.Cureus · 2025Article
- Quantitative histopathologic profiling of arterial dissection-related thrombi in acute ischemic stroke: etiological comparisons.Frontiers in neurology · 2025Article
- Contribution of Red Blood Cells and Platelets to Blood Clot Computed Tomography Imaging and Compressive Mechanical Characteristics.Annals of biomedical engineering · 2024Article
- BMAL1 sex-specific effects in the neonatal mouse airway exposed to moderate hyperoxia.Physiological reports · 2024Article
- High thrombin-activatable fibrinolysis inhibitor expression in thrombi from stroke patients in elevated estrogen states.BMC neurology · 2024Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 3 countries.
Funding
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 (ρ = 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.
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