AIMC Topic: Intracranial Thrombosis

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Machine learning-based Cerebral Venous Thrombosis diagnosis with clinical data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 2, 2024
OBJECTIVES: Cerebral Venous Thrombosis (CVT) poses diagnostic challenges due to the variability in disease course and symptoms. The prognosis of CVT relies on early diagnosis. Our study focuses on developing a machine learning-based screening algorit...
Male Middle Aged Diagnosis, Computer-Assisted Aged Adult Registries Iran Intracranial Thrombosis Venous Thrombosis Predictive Value of Tests Support Vector Machine Humans Machine Learning Female Reproducibility of Results Retrospective Studies
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Response to Letter Regarding the Article "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model".

AJNR. American journal of neuroradiology Dec 29, 2023
Humans Ischemic Stroke Stroke Tomography, X-Ray Computed Deep Learning Intracranial Thrombosis
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Regarding "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model".

AJNR. American journal of neuroradiology Aug 17, 2023
Humans Patients Intracranial Thrombosis Deep Learning Ischemic Stroke
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Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model.

AJNR. American journal of neuroradiology May 18, 2023
BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to develop an automated approach to quantify thrombus on NCCT and CTA in ...
Computed Tomography Angiography Intracranial Thrombosis Thrombosis Brain Ischemia Humans Ischemic Stroke Stroke Deep Learning
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Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging.

Stroke Mar 13, 2023
BACKGROUND: Cerebral venous thrombosis (CVT) is a rare cerebrovascular disease. Routine brain magnetic resonance imaging is commonly used to diagnose CVT. This study aimed to develop and evaluate a novel deep learning (DL) algorithm for detecting CVT...
Intracranial Thrombosis Deep Learning Venous Thrombosis Magnetic Resonance Imaging Brain Humans Female Algorithms
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Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences Nov 28, 2022
BACKGROUND AND PURPOSE: Thrombus red blood cell (RBC) content has been shown to be a significant factor influencing the efficacy of acute ischemic stroke treatment. In this study, our objective was to evaluate the ability of convolutional neural netw...
Humans Neural Networks, Computer Aged Male Female Erythrocytes Multiparametric Magnetic Resonance Imaging Ischemic Stroke Intracranial Thrombosis Middle Aged Stroke Deep Learning Thrombosis
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Clot Analog Attenuation in Non-contrast CT Predicts Histology: an Experimental Study Using Machine Learning.

Translational stroke research Jan 14, 2020
Exact histological clot composition remains unknown. The purpose of this study was to identify the best imaging variables to be extrapolated on clot composition and clarify variability in the imaging of thrombi by non-contrast CT. Using a CT-phantom ...
Erythrocytes Thrombectomy Machine Learning Intracranial Thrombosis Stroke Humans Thrombosis Tomography, X-Ray Computed Decision Trees
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Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 20, 2018
BACKGROUND AND PURPOSE: Thrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radio...
Image Interpretation, Computer-Assisted Middle Aged Stroke Neuroimaging Case-Control Studies Humans Female Intracranial Thrombosis Tissue Plasminogen Activator Computed Tomography Angiography Tomography, X-Ray Computed Treatment Outcome ROC Curve Aged Male Support Vector Machine
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