AIMC Topic: Moyamoya Disease
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Development and validation of machine learning models to predict postoperative infarction in moyamoya disease.
Journal of neurosurgery
Apr 5, 2024
OBJECTIVE: Cerebral infarction is a common complication in patients undergoing revascularization surgery for moyamoya disease (MMD). Although previous statistical evaluations have identified several risk factors for postoperative brain ischemia, the ...
Screening of Moyamoya Disease From Retinal Photographs: Development and Validation of Deep Learning Algorithms.
Stroke
Jan 23, 2024
BACKGROUND: Moyamoya disease (MMD) is a rare and complex pathological condition characterized by an abnormal collateral circulation network in the basal brain. The diagnosis of MMD and its progression is unpredictable and influenced by many factors. ...
EPI phase error correction with deep learning (PEC-DL) at 7 T.
Magnetic resonance in medicine
Jun 13, 2022
PURPOSE: The phase mismatch between odd and even echoes in EPI causes Nyquist ghost artifacts. Existing ghost correction methods often suffer from severe residual artifacts and are ineffective with k-space undersampling data. This study proposed a de...
Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction.
European journal of radiology
Apr 9, 2022
PURPOSE: The aim of this study was to examine the evaluation of ultra-high-resolution computed tomography angiography (UHR CTA) images in moyamoya disease (MMD) reconstructed with hybrid iterative reconstruction (Hybrid-IR), model-based iterative rec...
Deep Learning in the Management of Intracranial Aneurysms and Cerebrovascular Diseases: A Review of the Current Literature.
World neurosurgery
Feb 5, 2022
Intracranial aneurysms are a common asymptomatic vascular pathology, the rupture of which is a devastating event with a significant risk of morbidity and mortality. Aneurysm detection and risk stratification before rupture events are, therefore, impe...
Machine learning models of ischemia/hemorrhage in moyamoya disease and analysis of its risk factors.
Clinical neurology and neurosurgery
Aug 30, 2021
OBJECT: This study aimed to determine the risk factors of ischemic/hemorrhagic stroke in patients suffering moyamoya disease (MMD), as well as to compare the effects of six analysis methods.
Multi-band MR fingerprinting (MRF) ASL imaging using artificial-neural-network trained with high-fidelity experimental data.
Magnetic resonance in medicine
Oct 26, 2020
PURPOSE: We aim to leverage the power of deep-learning with high-fidelity training data to improve the reliability and processing speed of hemodynamic mapping with MR fingerprinting (MRF) arterial spin labeling (ASL).
Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 25, 2020
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic bilateral stenosis of the internal carotid arteries and by the formation of an abnormal vascular network called moyamoya vessels. In this stury, the au...
Moyamoya Disease
Intracranial Arteriosclerosis
Humans
Magnetic Resonance Imaging
Diagnosis, Differential
Young Adult
Predictive Value of Tests
Adult
Retrospective Studies
Image Interpretation, Computer-Assisted
Male
Female
Diagnosis, Computer-Assisted
Middle Aged
Reproducibility of Results
Deep Learning
Adolescent
Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test.
Radiology
Jul 14, 2020
Background Cerebrovascular reserve (CVR) may be measured by using an acetazolamide test to clinically evaluate patients with cerebrovascular disease. However, acetazolamide use may be contraindicated and/or undesirable in certain clinical settings. P...
Deep learning-based MR fingerprinting ASL ReconStruction (DeepMARS).
Magnetic resonance in medicine
Feb 4, 2020
PURPOSE: To develop a reproducible and fast method to reconstruct MR fingerprinting arterial spin labeling (MRF-ASL) perfusion maps using deep learning.
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