ArticleScientific reports2022
Non contrast enhanced volumetric histology of blood clots through high resolution propagation-based X-ray microtomography.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clot Composition Profiling in Large Vessel Occlusion Stroke Via Radiomics.Annals of neurology · 2026Article
- Toward improved thrombolysis in ischemic stroke: targeting nonfibrin components.Research and practice in thrombosis and haemostasis · 2026Review
- Multimodal characterization of flow-induced thrombus initiation and growth in extracorporeal membrane oxygenation.Scientific reports · 2026Article
- Aortic thrombi microstructure through contrast-enhanced X-ray microtomography.Scientific reports · 2025Article
- Article
- Article
- Black hole sign migration in short-term brain CT scans: A possible link with clot evolution and histology.Radiology case reports · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have demonstrated the capability of laboratory propagation-based microtomography (miroCT) in non-destructive 3D virtual histopathology of human blood clots without any contrast agent. The volumetric information are valuable to understand the mechanical properties of clots which are crucial in selecting the most efficient mechanical thrombectomy method for clot extraction. Different clot types retrieved by mechanical thrombectomy from patient victims of acute ischemic stroke were evaluated through propagation-based microCT. The results were correlated with high-resolution scanning electron microscopy (SEM) images, confirming detected cellular and fibrillary structures. Calcifications appeared as glassy opacity areas with relatively intense signal on microCT images, also proved by energy-dispersive spectroscopy and X-ray diffraction. Hyperintense regions on the microCT corresponded to individual or compact aggregates of red blood cells, whereas fibrin dominated volumes appeared at consistently moderate to low normalized microCT values. Red blood cell shapes and sizes are consistent with the SEM observations. Together with other potential parameters, 3D porosity distribution and volume fraction of structures can be easily measured by microCT data. Further development of automated post-processing techniques for X-ray propagation-based micro/nanoCT, also based on machine learning algorithms, can enable high throughput analysis of blood clot composition and their 3D histological features on large sample cohorts.
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