ArticleScientific reports2021
Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Diagnostic accuracy of dual-energy CT in distinguishing intracerebral hemorrhage from contrast staining: a systematic review and meta-analysis with radiation dose assessment.La Radiologia medica · 2026Pooled it
- Spectral CTA-based quantitative differentiation of infarcted and non-infarcted ASPECTS regions in acute stroke.European radiology experimental · 2026Article
- AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CT.Brain sciences · 2025Article
- Iodine-Based Dual-Energy Computed Tomography After Mechanical Thrombectomy Predicts Secondary Neurologic Decline from Cerebral Edema After Severe Stroke.Neurocritical care · 2025Observational
- Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- A dual-energy computed tomography-based radiomics nomogram for predicting time since stroke onset: a multicenter study.European radiology · 2024Article
- Ischemic core detection threshold of computed tomography perfusion (CTP) in acute stroke.La Radiologia medica · 2024Article
- Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography.Stroke · 2024Article
- Article
- Clinical Applications of Dual-Energy Computed Tomography for Acute Ischemic Stroke.Stroke (Hoboken, N.J.) · 2024Review
- Non-contrast dual-energy CT using X-map for acute ischemic stroke: region-specific comparison with simulated 120-kVp CT and diffusion-weighted MR images.Japanese journal of radiology · 2024Article
- Iodine-based dual-energy CT predicts early neurological decline from cerebral edema after large hemispheric infarction.Research square · 2023Article
- Preliminary experience of CT imaging of the ischaemic brain penumbra through spectral processing of multiphasic CTA datasets.Scientific reports · 2023Article
- Virtual ischaemic map images in acute ischaemic stroke.BMJ case reports · 2022Article
- Editorial: Mechanisms, Measurement, and Management of Vasogenic Edema After Stroke.Frontiers in neurology · 2022Article
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dual-energy CT (DECT) material decomposition techniques may better detect edema within cerebral infarcts than conventional non-contrast CT (NCCT). This study compared if Virtual Ischemia Maps (VIM) derived from non-contrast DECT of patients with acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are superior to NCCT for ischemic core estimation, compared against reference-standard DWI-MRI. Only patients whose baseline ischemic core was most likely to remain stable on follow-up MRI were included, defined as those with excellent post-thrombectomy revascularization or no perfusion mismatch. Twenty-four consecutive AIS-LVO patients with baseline non-contrast DECT, CT perfusion (CTP), and DWI-MRI were analyzed. The primary outcome measure was agreement between volumetric manually segmented VIM, NCCT, and automatically segmented CTP estimates of the ischemic core relative to manually segmented DWI volumes. Volume agreement was assessed using Bland-Altman plots and comparison of CT to DWI volume ratios. DWI volumes were better approximated by VIM than NCCT (VIM/DWI ratio 0.68 ± 0.35 vs. NCCT/DWI ratio 0.34 ± 0.35; P < 0.001) or CTP (CTP/DWI ratio 0.45 ± 0.67; P < 0.001), and VIM best correlated with DWI (r
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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.