ArticleAJNR. American journal of neuroradiology2019
Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.
Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05192161 (Computational Medical Imaging), which is not on this map. Cited by 57 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Computational Medical Imaging (Radiomics) and Prediction of Diffusion/FLAIR Mismatch in Stroke Patients
Who cites it
57 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Radiomics and ischemic stroke research: bibliometric insights and visual trends (2004-2024).Frontiers in neurology · 2025Pooled it
- Current status and quality of radiomics studies for predicting outcome in acute ischemic stroke patients: a systematic review and meta-analysis.Frontiers in neurology · 2023Pooled it
- Artificial Intelligence for Large-Vessel Occlusion Stroke: A Systematic Review.World neurosurgery · 2022Pooled it
- Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke.Korean journal of radiology · 2022Trial
- CT-based intrathrombus and perithrombus radiomics for predicting complete recanalization after endovascular thrombectomy in acute ischemic stroke.Frontiers in neurology · 2026Article
- Radiomics-based diagnosis of carotid artery stenosis using non-contrast CT: model development and validation.European journal of medical research · 2025Article
- Dual-Energy CT-Based Thrombus Radiomics Can Predict Functional Outcome of Intravenous Thrombolysis in Acute Ischemic Stroke.Translational stroke research · 2025Article
- Subtype identification of clinical and thrombus imaging features in acute ischemic stroke: using clustering analysis and principal component analysis.Scientific reports · 2025Article
- Acute ischemic stroke patient factors associated with poor outcomes in patients with favorable collaterals and successful thrombectomy.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025Article
- CT-Based Intrathrombus and Perithrombus Radiomics for Prediction of Prognosis after Endovascular Thrombectomy: A Retrospective Study across 2 Centers.AJNR. American journal of neuroradiology · 2025Article
- Thrombus composition in ischaemic stroke: histological and radiological evaluation, and implications for acute clinical management.Journal of thrombosis and thrombolysis · 2025Review
- The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.Frontiers in neurology · 2025Review
- Editorial: AI's transformative role in neuro-intervention: enhancing diagnosis and treatment strategies.Frontiers in neurology · 2025Article
- A Deep Learning Approach to Predict Recanalization First-Pass Effect following Mechanical Thrombectomy in Patients with Acute Ischemic Stroke.AJNR. American journal of neuroradiology · 2024Article
- Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024Article
- Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke.BMC medical imaging · 2024Article
- Application of radiomics in ischemic stroke.The Journal of international medical research · 2024Review
- Computed tomography-based radiomics model to predict adverse clinical outcomes in acute pulmonary embolism.Journal of thrombosis and thrombolysis · 2024Article
- Value of Automatically Derived Full Thrombus Characteristics: An Explorative Study of Their Associations with Outcomes in Ischemic Stroke Patients.Journal of clinical medicine · 2024Article
- The value of radiomics-based hyperdense middle cerebral artery sign in predicting hemorrhagic transformation in acute ischemic stroke patients undergoing endovascular treatment.Frontiers in neurology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
background and purposeThrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radiomics-based features of thrombus on NCCT and CT angiography associated with recanalization with IV alteplase in AIS patients and proximal intracranial thrombi. MATERIALS AND
methodsWith a nested case-control design, 67 patients with ICA/M1 MCA segment thrombus treated with IV alteplase were included in this analysis. Three hundred twenty-six radiomics features were extracted from each thrombus on both NCCT and CTA images. Linear discriminative analysis was applied to select features most strongly associated with early recanalization with IV alteplase. These features were then used to train a linear support vector machine classifier. Ten times 5-fold cross-validation was used to evaluate the accuracy of the trained classifier and the stability of the selected features.
resultsReceiver operating characteristic curves showed that thrombus radiomics features are predictive of early recanalization with IV alteplase. The combination of radiomics features from NCCT, CTA, and radiomics changes is best associated with early recanalization with IV alteplase (area under the curve = 0.85) and was significantly better than any single feature such as thrombus length (
conclusionsThrombus radiomics features derived from NCCT and CTA are more predictive of recanalization with IV alteplase in patients with acute ischemic stroke with proximal occlusion than previously known thrombus imaging features such as length, volume, and permeability.
Indexed as
Identifiers
What 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.