ReviewClinical neuroradiology2020
Imaging Clot Characteristics in Stroke and its Possible Implication on Treatment.
Review in Clinical neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic capacity of hyperdense middle cerebral artery sign in anterior circulation acute ischaemic stroke patients receiving reperfusion therapy: a systematic review and meta-analysis.Acta neurologica Belgica · 2022Pooled it
- Can CTA-Based Machine Learning Identify Patients for Whom Successful Endovascular Stroke Therapy Is Insufficient?AJNR. American journal of neuroradiology · 2025Article
- Incidental aneurysm rupture during endovascular thrombectomy for acute ischaemic stroke.BMJ case reports · 2025Article
- Multimaterial decomposition in dual-energy CT for characterization of clots from acute ischemic stroke patients.European radiology experimental · 2024Article
- Impedance-based sensors discriminate among different types of blood thrombi with very high specificity and sensitivity.Journal of neurointerventional surgery · 2023Article
- Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism.Angiology · 2023Article
- Radiomics-based intracranial thrombus features on preoperative noncontrast CT predicts successful recanalization of mechanical thrombectomy in acute ischemic stroke.Quantitative imaging in medicine and surgery · 2023Article
- Quantification of clot spatial heterogeneity and its impact on thrombectomy.Journal of neurointerventional surgery · 2022Article
- Clot-based radiomics features predict first pass effect in acute ischemic stroke.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2022Article
- Fully Automated Thrombus Segmentation on CT Images of Patients with Acute Ischemic Stroke.Diagnostics (Basel, Switzerland) · 2022Article
- Non contrast enhanced volumetric histology of blood clots through high resolution propagation-based X-ray microtomography.Scientific reports · 2022Article
- Traumatic Brain Magnetic Resonance Imaging Feature Extraction Based on Variable Model Algorithm in Stroke Examination.Contrast media & molecular imaging · 2022Article
- Article
- Letter to the editor about the paper by Gensicke et al. on the measurement of intracranial thrombus permeability in acute stroke.Neuroradiology · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ischemic cerebral stroke is an increasingly treatable entity due to the recent developments in intravascular clot extraction, with recent research indicating that the efficacy of the chosen thrombectomy device may be affected by the composition of the occluding clot. This literature review summarizes the results from analytical clot imaging studies, and in vitro and in vivo thrombectomies, to assess whether the choice of thrombectomy device can be optimized to the composition of the occluding clot. The literature has shown that the composition of the clot impacts its mechanical properties and interactions with the device. The existing literature with respect to imaging and current results is discussed.
Indexed as
Identifiers
31602486What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.