Results 41 to 50 of about 105,994 (238)

GEN-O-MA project: an Italian network studying clinical course and pathogenic pathways of moyamoya disease—study protocol and preliminary results [PDF]

open access: yes, 2019
Background: GENetics of mOyaMoyA (GEN-O-MA) project is a multicenter observational study implemented in Italy aimed at creating a network of centers involved in moyamoya angiopathy (MA) care and research and at collecting a large series and bio ...
Acerbi, Francesco   +56 more
core   +1 more source

Small Vessel Disease in the Heart and Brain: Current Knowledge, Unmet Therapeutic Need and Future Directions [PDF]

open access: yes, 2019
No abstract ...
Berry, C   +6 more
core   +2 more sources

DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data [PDF]

open access: yesJournal of Imaging. 2022; 8(10):259, 2020
Blood vessels of the brain provide the human brain with the required nutrients and oxygen. As a vulnerable part of the cerebral blood supply, pathology of small vessels can cause serious problems such as Cerebral Small Vessel Diseases (CSVD). It has also been shown that CSVD is related to neurodegeneration, such as Alzheimer's disease.
arxiv   +1 more source

Transient global amnesia after cerebral angiography still occurs: Case report and literature review

open access: yesRadiology Case Reports, 2014
Transient global amnesia is considered a very rare complication of diagnostic cerebral angiography, and has been reported only in a limited number of case reports more than 15 years ago.
Jon Foss-Skiftesvik, MD   +3 more
doaj   +1 more source

Intracranial dural arteriovenous fistula successfully treated by combined open-endovascular procedure [PDF]

open access: yes, 2010
Intracranial dural arteriovenous fistulas constitute a rare though potentially devastating disease. Because the arterial (high-pressure) blood flow drains directly into the low-pressure venous system, there is a high risk of bleeding and associated ...
DE KEUKELEIRE, KATRIEN   +4 more
core   +2 more sources

Low-Dose Fluoroscopy Protocol for Diagnostic Cerebral Angiography [PDF]

open access: yesNeurointervention, 2020
Purpose We applied a low-dose fluoroscopic protocol in routine diagnostic cerebral angiography and evaluated the feasibility of the protocol. Materials and Methods We retrospectively reviewed a total of 60 patients who underwent diagnostic cerebral ...
Yunsun Song   +6 more
doaj   +1 more source

Segmentation method for cerebral blood vessels from MRA using hysteresis [PDF]

open access: yesarXiv, 2023
Segmentation of cerebral blood vessels from Magnetic Resonance Imaging (MRI) is an open problem that could be solved with deep learning (DL). However, annotated data for training is often scarce. Due to the absence of open-source tools, we aim to develop a classical segmentation method that generates vessel ground truth from Magnetic Resonance ...
arxiv  

The location of intraparenchymal bleeding determines functional outcome after spontaneous subarachnoid hemorrhage

open access: yesEuropean Journal of Neurology, Volume 30, Issue 2, Page 372-379, February 2023., 2023
Subarachnoid hemorrhage patients with hemorrhagic lesions of the corpus callosum (n = 6/280) are at an elevated risk of unfavorable 3‐month functional outcome. Abstract Background and purpose Non‐traumatic subarachnoid hemorrhage (SAH) is a devastating disease associated with high morbidity and mortality.
Anna Lindner   +11 more
wiley   +1 more source

Video-based education improves the image quality of diagnostic percutaneous cerebral angiography among elderly patients

open access: yesTranslational Neuroscience, 2020
Digital subtraction angiography (DSA) is considered the gold standard for cerebral vasculature observation and is increasingly applied among the elderly population.
Wang Wenbing   +4 more
doaj   +1 more source

VesselShot: Few-shot learning for cerebral blood vessel segmentation [PDF]

open access: yesarXiv, 2023
Angiography is widely used to detect, diagnose, and treat cerebrovascular diseases. While numerous techniques have been proposed to segment the vascular network from different imaging modalities, deep learning (DL) has emerged as a promising approach.
arxiv  

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