ArticleClinical neuroradiology2024
MicroCT and Histological Analysis of Clot Composition in Acute Ischemic Stroke : A Comparative Study of MT-Retrieved Clots and Clot Analogs.
Article in Clinical neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Impact of neutrophil extracellular traps on the mechanical, radiomic, and histological properties of in vitro stroke clots.Acta neurologica Belgica · 2026Article
- Impact of neutrophil extracellular traps on the mechanical, radiomic, and histological properties of in vitro stroke clots.Acta neurologica Belgica · 2026Article
- Experimental Characterisation of Differently Composed Thrombus Entities with Spectral-Detector-CT.Neurology international · 2026Article
- Analysis of a clot-based combined radiomics model for predicting embolic etiology in acute ischemic stroke patients.European journal of radiology open · 2025Article
- The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.Frontiers in neurology · 2025Review
- Radiomics and Clinical Features for Distinguishing Kidney Stone-Associated Urinary Tract Infection: A Comprehensive Analysis of Machine Learning Classification.Open forum infectious diseases · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
purposeAssessing clot composition on prethrombectomy computed tomography (CT) imaging may help in stroke treatment planning. In this study we seek to use microCT imaging of fabricated blood clots to understand the relationship between CT radiographic signals and the biological makeup.
methodsClots (n = 10) retrieved by mechanical thrombectomy (MT) were collected, and 6 clot analogs of varying RBC composition were made. We performed paired microCT and histological image analysis of all 16 clots using a ScanCo microCT 100 (4.9 µm resolution) and standard H&E staining (imaged at 40×). From these data types, first order statistic (FOS) radiomics were computed from microCT, and percent composition of RBCs (%RBC) was computed from histology. Polynomial and linear regression (LR) were used to build statistical models based on retrieved thrombus microCT and %RBC that were evaluated for their ability to predict the %RBC of clot analogs from mean HU. Correlation analyses of microCT FOS with composition were completed for both retrieved clots and analogs.
resultsThe LR model fits relating MT-retrieved clot %RBC with mean (R
conclusionMicroCT can be used to build models that predict AIS clot composition from routine CT parameters and help us to better understand radiomic signatures associated with clot composition and first pass outcomes. In future work, such observations can be used to better infer clot composition and inform thrombectomy prognostics from pretreatment CTs.
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