ArticlePloS one2016
Automated Entire Thrombus Density Measurements for Robust and Comprehensive Thrombus Characterization in Patients with Acute Ischemic Stroke.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Clot-based time attenuation curve as a novel imaging predictor of mechanical thrombectomy functional outcome in acute ischemia stroke.European radiology · 2024Article
- Association Between MR-Based Thrombus Imaging Characteristics and Endovascular Therapy Outcome in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis.Stroke (Hoboken, N.J.) · 2024Article
- What is a Challenging Clot? : A DELPHI Consensus Statement from the CLOTS 7.0 Summit.Clinical neuroradiology · 2023Article
- Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model.AJNR. American journal of neuroradiology · 2023Article
- Association of thrombus density and endovascular treatment outcomes in patients with acute ischemic stroke due to M1 occlusions.Neuroradiology · 2022Article
- Thrombus Density in Acute Basilar Artery Occlusion Depends on Slice Thickness and the Method of Manual Thrombus Delineation.Life (Basel, Switzerland) · 2022Article
- Fully Automated Thrombus Segmentation on CT Images of Patients with Acute Ischemic Stroke.Diagnostics (Basel, Switzerland) · 2022Article
- Identifying Thrombus on Non-Contrast CT in Patients with Acute Ischemic Stroke.Diagnostics (Basel, Switzerland) · 2021Article
- Angiographic Baseline Proximal Thrombus Appearance of M1/M2 Occlusions in Mechanical Thrombectomy.Clinical neuroradiology · 2021Article
- Manual Thrombus Density Measurement Depends on the Method of Thrombus Delineation.Journal of stroke · 2018Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeIn acute ischemic stroke (AIS) management, CT-based thrombus density has been associated with treatment success. However, currently used thrombus measurements are prone to inter-observer variability and oversimplify the heterogeneous thrombus composition. Our aim was first to introduce an automated method to assess the entire thrombus density and then to compare the measured entire thrombus density with respect to current standard manual measurements. MATERIALS AND
methodIn 135 AIS patients, the density distribution of the entire thrombus was determined. Density distributions were described using medians, interquartile ranges (IQR), kurtosis, and skewedness. Differences between the median of entire thrombus measurements and commonly applied manual measurements using 3 regions of interest were determined using linear regression.
resultsDensity distributions varied considerably with medians ranging from 20.0 to 62.8 HU and IQRs ranging from 9.3 to 55.8 HU. The average median of the thrombus density distributions (43.5 ± 10.2 HU) was lower than the manual assessment (49.6 ± 8.0 HU) (p<0.05). The difference between manual measurements and median density of entire thrombus decreased with increasing density (r = 0.64; p<0.05), revealing relatively higher manual measurements for low density thrombi such that manual density measurement tend overestimates the real thrombus density.
conclusionsAutomatic measurements of the full thrombus expose a wide variety of thrombi density distribution, which is not grasped with currently used manual measurement. Furthermore, discrimination of low and high density thrombi is improved with the automated method.
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