Results 141 to 150 of about 529,256 (343)

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Hand and wrist configurations in patients with Carpal Tunnel Syndrome [PDF]

, 2007
The association between hand and wrist configurations was investigated in this study. The hand and wrist dimensions of sixty patients with carpal tunnel syndrome and sixty healthy control subjects were measured using specific anatomical landmarks.
Galea, Laurence A., Gatt, Ray, Sciberras, Carmel   +2 more
core  

Nerve conduction studies and EMG in carpal tunnel syndrome: Do they add value?

Clinical Neurophysiology Practice, 2018
M. Sonoo, D. Menkes, J. Bland, D. Burke
semanticscholar   +1 more source

Dorsolateral Cervical Cord T2 Hyperintensity in KIF1C‐Related Disease (Spastic Paraplegia 58): Two Long‐Duration Cases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Pathogenic variants in KIF1C cause Spastic Paraplegia 58 (SPG58), typically presenting with cerebellar ataxia and spastic paraparesis. We report two unrelated patients with spastic paraparesis, cerebellar ataxia, and tremor. Whole‐exome sequence analysis identified novel homozygous variants in the motor domain of KIF1C (NM_006612.6): c.921G>A (
Akihiko Mitsutake, Masao Osaki, Takashi Matsukawa, Miho Osako, Chisen Takeuchi, Hiroyuki Ishiura, Jun Mitsui, Ryo Kurokawa, Harushi Mori, Yuji Takahashi, Jun Goto, Shoji Tsuji, Tatsushi Toda   +12 more
wiley   +1 more source

Nerve Conduction Study (NCS) in Patients with Cervical Radiculopathy at Arifin Achmad General Hospital, Riau Province

Frontiers on Healthcare Research
Background: Radiculopathy is one of the most common causes of neck pain in everyday clinical practice. Radiculopathy can occur in the cervical segment. The prevalence of cervical radiculopathy is lower than lumbar radiculopathy.
Riki Sukiandra, Azzahra Nur Aulya Putri, Desby Juananda, Yossi Maryanti   +3 more
doaj  

Relationship Between Clinical Outcomes and Nerve Conduction Studies Before and After Viral Infections in Healthy Individuals: Case Series. [PDF]

Cureus, 2023
Al-Mazidi SH, ALRouq F, Alsabty AS, Alhajlah A, AlYahya A, Alsabih A, Al-Taweraqi R, Alahmari AS, Al-Dakhil L, Habib S.   +9 more
europepmc   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Utilizing novel recurrent laryngeal motor nerve conduction studies to characterize the aging larynx: A pilot study. [PDF]

Laryngoscope Investig Otolaryngol, 2023
Baertsch HC, Cvancara D, Bhatt NK.
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source