Back to search

Article

AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CT

2025-07-28

Abstract excerpt

<h4>Objective: </h4> This study aimed to evaluate whether modifying the post-processing algorithm of twin-spiral dual-energy computed tomography (DECT) improves infarct detection compared to conventional dual-energy or single-energy CT (DECT/SECT) following endovascular therapy (EVT) for large vessel occlusion (LVO). <h4>Methods:</h4> We retrospectively analyzed 52 patients who underwent twin-spiral DECT after end...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7d545121-9a4b-553b-9378-940894b27172
DOI
10.20944/preprints202507.2213.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CTDOI 10.20944/preprints202507.2213.v1
From Time to Tissue: AI-Driven Net Water Uptake Mapping Enables Early Detection of Reversible Ischemia on Non-Contrast CT ScansSemantic proximity
Automated Prediction of Ischemic Brain Tissue Fate from Multi-Phase CT-Angiography in Patients with Acute Ischemic Stroke Using Machine LearningSemantic proximity
Redefining Hemodynamic Imaging in Stroke: Perfusion Parameter Map Generation from TOF-MRA using Artificial IntelligenceSemantic proximity
Evaluation of Advanced Artificial Intelligence Algorithms' Diagnostic Efficacy in Acute Ischemic Stroke: A Comparative Analysis of ChatGPT-4o and Claude 3.5 Sonnet ModelsSemantic proximity
Threshold-based Identification of Persistent Infarction after Successful Endovascular Treatment: Re-evaluating the “Core”Semantic proximity
Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.Semantic proximity
Proposing a New Standard for Collateral Status Assessment in Acute Ischemic Stroke using Cerebrovascular RadiomicsSemantic proximity
Clinically Scalable Deep Learning for Stroke Multicenter Validation of an Ultra-Efficient NCCT-Based Diagnostic FrameworkSemantic proximity
Automated Intracranial Thrombus Segmentation from CT Images of Patients with Acute Ischemic Stroke: A Dual-Channel nnU-Net Approach with Uncertainty QuantificationSemantic proximity
SAHVAI-3D and 4D: A New, Automated Subarachnoid Hemorrhage Volumetric Artificial Intelligence (SAHVAI) Measurement Approach Using Non-Contrast Head CT ScansSemantic proximity
Performance of RAPID noncontrast CT stroke platform in large vessel occlusion and intracranial hemorrhage detectionSemantic proximity
Early Prediction of Ischaemic Stroke Outcomes: A Novel Computational ApproachSemantic proximity
Select a neighboring publication to make it the new centre.