1.Pitfalls in Using Electrophysiological Studies to Diagnose Neuromuscular Disorders.
Yong Seo KOO ; Charles S CHO ; Byung Jo KIM
Journal of Clinical Neurology 2012;8(1):1-14
Electrodiagnostic testing is used widely for the full characterization of neuromuscular disorders and for providing unique information on the processes underlying the pathology of peripheral nerves and muscles. However, such testing should be considered as an extension of anamnesis and physical examination, not as pathognomonic of a specific disease entity. There are many pitfalls that could lead to erroneous interpretation of electrophysiological study results when the studies are not performed properly or if they are performed in the presence of anatomical aberrations. The diagnostic reliability of electrodiagnostic studies can be improved and the associated pitfalls overcome if the physician is familiar with all of those possible pitfalls. In this article we discuss the most common and important pitfalls associated with electrodiagnostic medicine.
Electromyography
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Muscles
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Peripheral Nerves
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Physical Examination
2.Deep Brain Stimulation: Technology at the Cutting Edge.
Rahul S SHAH ; Su Youne CHANG ; Hoon Ki MIN ; Zang Hee CHO ; Charles D BLAHA ; Kendall H LEE
Journal of Clinical Neurology 2010;6(4):167-182
Deep brain stimulation (DBS) surgery has been performed in over 75,000 people worldwide, and has been shown to be an effective treatment for Parkinson's disease, tremor, dystonia, epilepsy, depression, Tourette's syndrome, and obsessive compulsive disorder. We review current and emerging evidence for the role of DBS in the management of a range of neurological and psychiatric conditions, and discuss the technical and practical aspects of performing DBS surgery. In the future, evolution of DBS technology may depend on several key areas, including better scientific understanding of its underlying mechanism of action, advances in high-spatial resolution imaging and development of novel electrophysiological and neurotransmitter microsensor systems. Such developments could form the basis of an intelligent closed-loop DBS system with feedback-guided neuromodulation to optimize both electrode placement and therapeutic efficacy.
Brain
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Deep Brain Stimulation
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Depression
;
Dystonia
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Electrodes
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Epilepsy
;
Neurotransmitter Agents
;
Obsessive-Compulsive Disorder
;
Parkinson Disease
;
Tourette Syndrome
;
Tremor
3.Deep Brain Stimulation: Technology at the Cutting Edge.
Rahul S SHAH ; Su Youne CHANG ; Hoon Ki MIN ; Zang Hee CHO ; Charles D BLAHA ; Kendall H LEE
Journal of Clinical Neurology 2010;6(4):167-182
Deep brain stimulation (DBS) surgery has been performed in over 75,000 people worldwide, and has been shown to be an effective treatment for Parkinson's disease, tremor, dystonia, epilepsy, depression, Tourette's syndrome, and obsessive compulsive disorder. We review current and emerging evidence for the role of DBS in the management of a range of neurological and psychiatric conditions, and discuss the technical and practical aspects of performing DBS surgery. In the future, evolution of DBS technology may depend on several key areas, including better scientific understanding of its underlying mechanism of action, advances in high-spatial resolution imaging and development of novel electrophysiological and neurotransmitter microsensor systems. Such developments could form the basis of an intelligent closed-loop DBS system with feedback-guided neuromodulation to optimize both electrode placement and therapeutic efficacy.
Brain
;
Deep Brain Stimulation
;
Depression
;
Dystonia
;
Electrodes
;
Epilepsy
;
Neurotransmitter Agents
;
Obsessive-Compulsive Disorder
;
Parkinson Disease
;
Tourette Syndrome
;
Tremor
4.Prognostic Factor Analysis of Overall Survival in Gastric Cancer from Two Phase III Studies of Second-line Ramucirumab (REGARD and RAINBOW) Using Pooled Patient Data.
Charles S FUCHS ; Kei MURO ; Jiri TOMASEK ; Eric VAN CUTSEM ; Jae Yong CHO ; Sang Cheul OH ; Howard SAFRAN ; György BODOKY ; Ian CHAU ; Yasuhiro SHIMADA ; Salah Eddin AL-BATRAN ; Rodolfo PASSALACQUA ; Atsushi OHTSU ; Michael EMIG ; David FERRY ; Kumari CHANDRAWANSA ; Yanzhi HSU ; Andreas SASHEGYI ; Astra M LIEPA ; Hansjochen WILKE
Journal of Gastric Cancer 2017;17(2):132-144
PURPOSE: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. MATERIALS AND METHODS: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. RESULTS: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64–0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. CONCLUSIONS: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.
Adenocarcinoma
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Alkaline Phosphatase
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Appetite
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Aspartate Aminotransferases
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Clinical Decision-Making
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Disease Progression
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Double-Blind Method
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Drug Therapy
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Esophagogastric Junction
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Factor Analysis, Statistical*
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Humans
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L-Lactate Dehydrogenase
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Lymphocytes
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Mass Screening
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Neoplasm Metastasis
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Neutrophils
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Prognosis
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Proportional Hazards Models
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Quality of Life
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Sodium
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Stomach Neoplasms*