ReviewEuropean radiology2021
Dual-energy computed tomography in acute ischemic stroke: state-of-the-art.
Review in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05675774 (Dual Energy CT for Confirming Hemorrhagic Transformation After Thrombectomy for Patients With Acute Ischemic Stroke), which is not on this map. Cited by 19 papers.
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.
Dual Energy CT for Confirming Hemorrhagic Transformation After Thrombectomy for Patients With Acute Ischemic Stroke
Who cites it
19 citing papers in PubMed, 36 citations in OpenAlex.
- From Iodine Maps to Brain Window Images: Quantitative Visibility Thresholds of Iodine Staining Using Photon-Counting CT-A Retrospective Observational Study.Diagnostics (Basel, Switzerland) · 2026Article
- What you don't see matters: dual-energy CT in emergency radiology.Japanese journal of radiology · 2026Review
- Spectral CTA-based quantitative differentiation of infarcted and non-infarcted ASPECTS regions in acute stroke.European radiology experimental · 2026Article
- Cellular Mechanisms Underlying Endothelial and Histopathological Alterations Induced by Cerebral Angiography.Journal of clinical medicine · 2026Review
- Current state and advancements of imaging in acute ischemic stroke: a practical review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- Dual- energy CT versus single-energy CT for estimation of hematocrit and hemoglobin in the brain: an in vivo analysis.Neuroradiology · 2025Article
- Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts.Journal of imaging informatics in medicine · 2025Article
- Deep-Learning Generated Synthetic Material Decomposition Images Based on Single-Energy CT to Differentiate Intracranial Hemorrhage and Contrast Staining Within 24 Hours After Endovascular Thrombectomy.CNS neuroscience & therapeutics · 2025Article
- Multimaterial decomposition in dual-energy CT for characterization of clots from acute ischemic stroke patients.European radiology experimental · 2024Article
- Assessment of post-thrombectomy brain hemorrhage in acute ischemic stroke with dual-energy CT: how reliable is it in clinical practice?La Radiologia medica · 2024Article
- Quantification of ischemic brain edema after mechanical thrombectomy using dual-energy computed tomography in patients with ischemic stroke.Scientific reports · 2024Article
- The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview.Frontiers in medicine · 2024Review
- Innovative applications of advanced nanomaterials in cerebrovascular imaging.Frontiers in bioengineering and biotechnology · 2024Review
- Dual-Energy Computed Tomography in Stroke Imaging : Value of a New Image Acquisition Technique for Ischemia Detection after Mechanical Thrombectomy.Clinical neuroradiology · 2023Article
- Dual Source Photon-Counting Computed Tomography-Part II: Clinical Overview of Neurovascular Applications.Journal of clinical medicine · 2023Review
- Diagnostic value of MRI perfusion-weighted imaging and diffusion-weighted imaging parameters in cerebral apoplexy.American journal of translational research · 2023Article
- Article
- Feasibility study of portable multi-energy computed tomography with photon-counting detector for preclinical and clinical applications.Scientific reports · 2021Article
- Value of Dual-Energy Dual-Layer CT After Mechanical Recanalization for the Quantification of Ischemic Brain Edema.Frontiers in neurology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dual-energy computed tomography (DECT) allows distinguishing between tissues with similar X-ray attenuation but different atomic numbers. Recent studies demonstrated that this technique has several areas of application in patients with ischemic stroke and a potential impact on patient management. After endovascular stroke therapy (EST), hyperdense areas can represent either hemorrhage or contrast staining due to blood-brain barrier disruption, which can be differentiated reliably by DECT. Further applications are improved visualization of early infarctions, compared to single-energy computed tomography, and prediction of transformation into infarction or hemorrhage in contrast-enhancing areas. In addition, DECT allows detection and evaluation of the material composition of intra-arterial clots after EST. This review summarizes the clinical state-of-the-art of DECT in patients with stroke, and features some prospects for future developments. KEY POINTS: • Dual-energy computed tomography (DECT) allows differentiation between tissues with similar X-ray attenuation but differentatomic numbers. • DECT has several areas of application in patients with ischemic stroke and a potential impact on patient management. • Prospects for future developments in DECT may improve treatment decision-making.
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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.