25 hasil untuk "Kevin Li-Chun Hsieh"
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Artikel Jurnal
Added Value of Rescue Devices in Intra-Arterial Thrombectomy: When Should We Apply Them?
Introduction: Recent trials have demonstrated the superior efficacy of mechanical thrombectomy over other medical treatments for acute ischemic stroke; however, not every large vessel occlusion (LVO) can be recanalized using a single thrombectomy device. Rescue devices were proved to increase the…
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Artikel Jurnal Teks lengkap
Computer-Aided Detection of Hyperacute Stroke Based on Relative Radiomic Patterns in Computed Tomography
Ischemic stroke is one of the leading causes of disability and death. To achieve timely assessments, a computer-aided diagnosis (CAD) system was proposed to perform early recognition of hyperacute ischemic stroke based on non-contrast computed tomography (NCCT). In total, 26 patients with…
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Unusual magnetic resonance imaging abnormality in nonketotic hyperglycemia – related epilepsia partialis continua
Epilepsia partialis continua (EPC) is a rare epileptic syndrome, presenting as continuous focal motor seizures for a period of minutes, hours, or days. EPC may develop in patients with cerebral cortical lesions and occasionally may develop in patients with metabolic disorders, such as nonketotic…
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Artikel Jurnal
Hypoglycemic encephalopathy mimicking acute ischemic stroke in clinical presentation and magnetic resonance imaging: a case report
Abstract Background The imaging findings of hypoglycemic encephalopathy can be considerably similar to those of ischemic infarction or toxic leukoencephalopathy. We demonstrated unusual magnetic resonance (MR) imaging features of hypoglycemic encephalopathy which can be confused with other…
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Artikel Jurnal
First-Line A Direct Aspiration First-Pass Technique vs. First-Line Stent Retriever for Acute Ischemic Stroke Therapy: A Meta-Analysis
Background: Recent trials have proved the efficacy of mechanical thrombectomy over medical treatment for patients with acute ischemic stroke, with the balance of equivalent rates of adverse events. Stent retrievers were applied predominantly in most trials; however, the role of other thrombectomy…
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Artikel Jurnal Teks lengkap
Intelligent Glioma Grading Based on Deep Transfer Learning of MRI Radiomic Features
According to a classification of central nervous system tumors by the World Health Organization, diffuse gliomas are classified into grade 2, 3, and 4 gliomas in accordance with their aggressiveness. To quantitatively evaluate a tumor’s malignancy from brain magnetic resonance imaging, this study…
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Artikel Jurnal Teks lengkap
Effect of a computer-aided diagnosis system on radiologists' performance in grading gliomas with MRI.
The effects of a computer-aided diagnosis (CAD) system based on quantitative intensity features with magnetic resonance (MR) imaging (MRI) were evaluated by examining radiologists' performance in grading gliomas. The acquired MRI database included 71 lower-grade gliomas and 34 glioblastomas…
Juga tersedia di: PLOS
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Artikel Jurnal
The occurrence of metronidazole-induced encephalopathy in cancer patients: A hospital-based retrospective study
Background: Metronidazole-induced encephalopathy (MIE) is a rare but serious complication caused by metronidazole, a widely used antianaerobic drug. Previous studies prescribed MIE including dysarthria, cerebellar ataxia, and confusion after long-term use of metronidazole. Malignancy has been…
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Artikel Jurnal Teks lengkap
Cerebral Small Vessel Disease Biomarkers Detection on MRI-Sensor-Based Image and Deep Learning
Magnetic resonance imaging (MRI) offers the most detailed brain structure image available today; it can identify tiny lesions or cerebral cortical abnormalities. The primary purpose of the procedure is to confirm whether there is structural variation that causes epilepsy, such as hippocampal…
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Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children
Abstract Objectives Understanding the impact of epilepsy on pediatric brain tumors is crucial to diagnostic precision and optimal treatment selection. This study investigated MRI radiomics features, tumor location, voxel-based morphometry (VBM) for gray matter density, and tumor volumetry to…
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Artikel Jurnal
Microstructural Changes in Absence Seizure Children: A Diffusion Tensor Magnetic Resonance Imaging Study
Absence seizures are a subtype of epileptic seizures clinically characterized by transient alterations in states of consciousness and by electroencephalography indicating diffuse spike-wave discharges (SWD). Conventional brain magnetic resonance imaging (MRI) is not routinely used to establish the…
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Serial quantitative chest computed tomography imaging as prognosticators of coronavirus disease 2019 pneumonia
In 2019, a large outbreak of a novel coronavirus disease (COVID-19) occurred in China. The purpose of this study is to quantitatively analyze the evolution of chest computed tomography (CT) imaging features in COVID-19. Nine patients with positive real-time reverse-transcriptase polymerase chain…
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Quantitative analysis of intraoperative electrocorticography mirrors histopathology and seizure outcome after epileptic surgery in children
Background: Epileptic surgery is the potentially curative treatment for children with refractory seizures. The study aimed to quantify and analyze high frequency oscillation (HFO) ripples and interictal epileptiform discharges (EDs) in intraoperative electrocorticography (ECoG) between malformation…
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Artikel Jurnal
Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework
Abstract Background This study investigates the potential of diffusion tensor imaging (DTI) in identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion–diffusion mismatch (PDM), utilizing a stack-based ensemble machine learning (ML) approach with enhanced…
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Artikel Jurnal
Myeloperoxidase exerts anti-tumor activity in glioma after radiotherapy
Background: Host immune response is a critical component in tumorigenesis and immune escape. Radiation is widely used for glioblastoma (GBM) and can induce marked tissue inflammation and substantially alter host immune response. However, the role of myeloperoxidase (MPO), a key enzyme in…
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Magnetic resonance radiomics features and prognosticators in different molecular subtypes of pediatric Medulloblastoma
Purpose: Medulloblastoma (MB) is a highly malignant pediatric brain tumor. In the latest classification, medulloblastoma is divided into four distinct groups: wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4. We analyzed the magnetic resonance imaging radiomics features to find the…
Juga tersedia di: DOAJ
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Artikel Jurnal Teks lengkap
Gelsolin decreases actin toxicity and inflammation in murine multiple sclerosis
Gelsolin is the fourth most abundant protein in the body and its depletion in the blood has been found in multiple sclerosis (MS) patients. How gelsolin affects the MS brain has not been studied. We found that while the secreted form of gelsolin (pGSN) decreased in the blood of experimental…
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Artikel Jurnal
Prognostic and predictive factors for clinical and radiographic responses in patients with painful bone metastasis treated with magnetic resonance-guided focused ultrasound surgery
Background: Magnetic resonance-guided focused ultrasound surgery (MRgFUS) is an alternative local therapy for patients with painful bone metastasis. However, little is known about the prognostic and predictive factors of MRgFUS in treating bone metastasis. Materials and methods: This retrospective…