• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Initial Experience with Upfront Arterial and Perfusion Imaging among Ischemic Stroke Patients Presenting within the 4.5-hour Time Window
Conclusions: An upfront CTA/CTP protocol aided stroke team decision-making in nearly half of cases. Implementation of a CTA/CTP protocol was associated with a learning curve of 6 months before door to needle time ≤60 minutes returned to similar rates as the pre-CTA/CTP protocol.
Source: Journal of Stroke and Cerebrovascular Diseases - January 24, 2013 Category: Neurology Authors: Ali Reza Noorian, Katja Bryant, Ashley Aiken, Andrew D. Nicholson, Adam B. Edwards, Mason P. Markowski, Seena Dehkharghani, Jemisha C. Bouloute, Jacquelyn Abney, Fadi Nahab Tags: Original Articles Source Type: research

A Magnetic Resonance Angiography-Based Study Comparing Machine Learning and Clinical Evaluation: Screening Intracranial Regions Associated with the Hemorrhagic Stroke of Adult Moyamoya Disease
Moyamoya disease (MMD) is a chronic occlusive cerebrovascular disease characterized by bilateral progressive steno-occlusive changes of unknown etiology at the distal portion of the internal carotid artery or proximal portion of the anterior arteries and middle cerebral arteries, accompanied by the presence of an abnormal vessel network (moyamoya vessels) at the base of the brain.1 The incidence and prevalence of MMD are increasing worldwide, which may indicate an increase in the number of MMD patients or an underestimation of the actual number of MMD patients in the past.
Source: Journal of Stroke and Cerebrovascular Diseases - February 17, 2022 Category: Neurology Authors: Hao-lin Yin, Yu Jiang, Wen-jun Huang, Shi-hong Li, Guang-wu Lin Source Type: research

Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease
Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic progressive bilateral stenosis of the terminal portion of the internal carotid arteries (ICAs), and it is associated with the formation of an abnormal vascular network at the base of the brain.1,2 For the diagnosis of the moyamoya disease, digital subtraction angiography (DSA), which helps evaluate collateral circulation from the view point of the hemorrhagic risk, is the gold standard.3,4 On the contrary, magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA) can be used as alternatives to conventional angiography bec...
Source: Journal of Stroke and Cerebrovascular Diseases - September 25, 2020 Category: Neurology Authors: Yukinori Akiyama, Takeshi Mikami, Nobuhiro Mikuni Source Type: research

End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study
In this study, we developed a deep learning pipeline that detects large vessel occlusion (LVO) and predicts functional outcome based on computed tomography angiography (CTA) images to improve the management of the LVO patients.
Source: Journal of Stroke and Cerebrovascular Diseases - September 15, 2022 Category: Neurology Authors: Shujuan Meng, Thi My Linh Tran, Mingzhe Hu, PanPan Wang, Thomas Yi, Zhusi Zhong, Luoyun Wang, Braden Vogt, Zhicheng Jiao, Arko Barman, Ugur Cetintemel, Ken Chang, Dat-Thanh Nguyen, Ferdinand K. Hui, Ian Pan, Bo Xiao, Li Yang, Hao Zhou, Harrison X. Bai Source Type: research

Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography
This study aimed to develop and validate a machine learning model incorporating both dual-energy computed tomography (DECT) angiography quantitative parameters and clinically relevant risk factors for the identification of symptomatic carotid plaques to prevent acute cerebrovascular events.
Source: Journal of Stroke and Cerebrovascular Diseases - June 7, 2023 Category: Neurology Authors: Ling-Jie Wang, Pei-Qing Zhai, Li-Li Xue, Cai-Yun Shi, Qian Zhang, Hua Zhang Source Type: research