AIMC Topic: Brain Ischemia
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Usefulness of deep learning-assisted identification of hyperdense MCA sign in acute ischemic stroke: comparison with readers' performance.
Japanese journal of radiology
May 12, 2020
PURPOSE: To evaluate the usefulness of deep learning-assisted diagnosis for identifying hyperdense middle cerebral artery sign (HMCAS) on non-contrast computed tomography in comparison with the diagnostic performance of neuroradiologists.
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.
JAMA network open
Mar 2, 2020
IMPORTANCE: Predicting infarct size and location is important for decision-making and prognosis in patients with acute stroke.
Machine Learning Approach to Identify Stroke Within 4.5 Hours.
Stroke
Jan 28, 2020
Background and Purpose- We aimed to investigate the ability of machine learning (ML) techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging to identify patients within the reco...
Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.
Stroke
Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Brain Stem
Internal Capsule
Deglutition Disorders
White Matter
Enteral Nutrition
Basal Ganglia
Reproducibility of Results
Machine Learning
Aged
Brain Ischemia
Algorithms
Male
Proportional Hazards Models
Prognosis
Fluoroscopy
Middle Aged
Magnetic Resonance Imaging
Humans
Multivariate Analysis
Female
Stroke
Recovery of Function
Cerebral Cortex
Sex Factors
Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke.
Stroke
Dec 30, 2019
Background and Purpose- Selection of patients with acute ischemic stroke for endovascular treatment generally relies on dynamic susceptibility contrast magnetic resonance imaging or computed tomography perfusion. Dynamic susceptibility contrast magne...
Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks.
Journal of neurointerventional surgery
Dec 23, 2019
BACKGROUND AND PURPOSE: Infarct volume is a valuable outcome measure in treatment trials of acute ischemic stroke and is strongly associated with functional outcome. Its manual volumetric assessment is, however, too demanding to be implemented in cli...
Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.
PloS one
Dec 5, 2019
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. ...
Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.
Journal of neurointerventional surgery
Nov 4, 2019
BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thus are likely key components of acute ischemic stroke (AIS) emboli. We aimed to characterize platelet and vWF levels in AIS emboli and to assess associ...
Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke.
Japanese journal of radiology
Oct 31, 2019
PURPOSE: The aim of this study was to develop an interactive deep learning-assisted identification of the hyperdense middle cerebral artery (MCA) sign (HMCAS) on non-contrast computed tomography (CT) among patients with acute ischemic stroke.
Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
International journal of computer assisted radiology and surgery
Oct 31, 2019
PURPOSE: Acute ischemic stroke is one of the most causes of death all over the world. Onset to treatment time is critical in stroke diagnosis and treatment. Considering the time consumption and high price of MR imaging, CT perfusion (CTP) imaging is ...
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