Impact of deep Learning-enhanced contrast on diagnostic accuracy in stroke CT angiography.
Journal:
European journal of radiology
PMID:
39520838
Abstract
PURPOSE: To examine the impact of deep learning-augmented contrast enhancement on image quality and diagnostic accuracy of poorly contrasted CT angiography in patients with suspected stroke.
Authors
Keywords
Aged
Cerebral Angiography
Computed Tomography Angiography
Contrast Media
Deep Learning
Female
Humans
Male
Middle Aged
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity
Signal-To-Noise Ratio
Stroke