10 results on '"Michelle Youn"'
Search Results
2. Transient Cortical Blindness Following Cervical Transforaminal Epidural Injection
- Author
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Michelle Youn, Jeong Hyun Seo, Byung-Kun Kim, Ra Gyoung Yoon, and Eun Hye Jung
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Ophthalmology - Abstract
Purpose: To report a case of transient cortical blindness following cervical transforaminal epidural injection.Case summary: A 58-year-old diabetic and hypertensive male was referred to the ophthalmology department with sudden-onset bilateral visual disturbances after cervical transforaminal epidural injection for neck pain. During the procedure, an intravascular contrast medium was injected into the left vertebral artery. Immediately after the injection, the patient complained of bilateral visual disturbances, mild headache, and dizziness. Twelve hours after the procedure, his visual acuity was reduced to hand motion perception in both eyes. Anterior segment and fundus examinations were unremarkable. Pupillary light reflexes and extraocular muscle movements were normal. Brain magnetic resonance imaging, magnetic resonance angiography, and fluorescein angiography showed no significant findings. There were no other neurological abnormalities. The patient was treated conservatively with intravenous dexamethasone and nimodipine based on a provisional diagnosis of transient cortical blindness. The symptoms gradually improved 2 days after the procedure; visual acuity recovered to 20/20 by the third day.Conclusions: Although contrast-induced transient cortical blindness is rare, it should be considered in patients with bilateral visual loss after transforaminal epidural injection. It is a benign and reversible condition but requires a prompt diagnosis.
- Published
- 2022
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3. Deep learning-based algorithm versus physician judgement for myopathy and neuropathy diagnosis based on needle electromyography findings
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Ilhan Yoo, Jaesung Yoo, Dongmin Kim, Ina Youn, Hyodong Kim, Michelle Youn, Jun Hee Won, Woosup Cho, Youho Myong, Sehoon Kim, Ri Yu, Sung-Min Kim, Kwangsoo Kim, Seung-Bo Lee, and Keewon Kim
- Abstract
Electromyography is a valuable diagnostic tool for diagnosing patients with neuromuscular diseases; however, it has possible drawbacks including diagnostic accuracy and a time- and effort-intensive process. To overcome these limitations, we developed a deep learning-based electromyography diagnosis system and compared its performance with that of six physicians. This study included 58 participants who underwent electromyography and were subsequently confirmed to have myopathy or neuropathy or to be in a normal state at single tertiary centre. We developed a one-dimensional convolutional neural network and Divide-and-Vote algorithms for diagnosing patients. Diagnostic results from our deep learning model were compared with those of six physicians with experience in performing and interpreting electromyography. The accuracy, sensitivity, specificity, and positive predictive value of the deep learning model were 0.875, 0.820, 0.904, and 0.820, respectively, whereas those of the physicians were 0.694, 0.537, 0.773, and 0.524, respectively. The area under the receiver operating characteristic curves of the deep learning model was also better than those of the averaged results of the six physicians. Thus, deep learning could play a key role in diagnosing patients with neuromuscular diseases.
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- 2023
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4. Deep learning-based algorithm versus physician judgement for diagnosis of myopathy and neuropathy from needle electromyography
- Author
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Ilhan Yoo, Jaesung Yoo, Dongmin Kim, Ina Youn, Hyodong Kim, Michelle Youn, Jun Hee Won, Woosup Cho, Youho Myong, Sehoon Kim, Ri Yu, Sung-Min Kim, Kwangsoo Kim, Seung-Bo Lee, and Keewon Kim
- Abstract
Electromyography is a valuable diagnostic procedure for diagnosing patients with neuromuscular diseases; however, it has some drawbacks. First, diagnosis using electromyography is subjective, and in some cases, there is the potential for inter-individual discrepancies. Second, it is a time- and effort-intensive process that requires expertise to yield accurate results. Recently, a deep learning algorithm shows effectiveness for the analysis of waveform data such as electrocardiography. To overcome limitations of electromyography, we developed a deep learning-based electromyography classification system and compared the performance of our deep learning model with that of six physicians. This study included 58 subjects who underwent electromyography and were finally confirmed as having myopathy or neuropathy, or to be in a normal state between June 2015 and July 2020 at Seoul National University Hospital. We developed a one-dimensional convolutional neural network algorithm and divide-and-vote system for diagnosing subjects. Diagnosis results with our deep learning model were compared with those of six physicians with experience in performing and interpreting electromyography. The accuracy, sensitivity, specificity, and positive predictive value of the deep learning model for diagnosis as to whether subjects have myopathy or neuropathy or normal were 0.875, 0.820, 0.904, and 0.820, respectively, whereas those for the physicians were 0.694, 0.537, 0.773, and 0.524, respectively. The area under the receiver operating characteristic curves of the deep learning model for predicting myopathy, neuropathy, and normal states was better than the averaged results of six physicians. Our study showed that deep learning could play a key role in reading electromyography and diagnosing patients with neuromuscular diseases. In the future, large prospective cohort studies incorporating diverse neuromuscular diseases can enable deep learning-based electrodiagnosis on behalf of physicians.
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- 2023
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5. Extended Chalcones: Synthesis, In Vitro Analysis, and In Vivo Testing Against a Drosophila melanogaster Alzheimer’s Disease Model
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Aadya Jaipuria, Madison Castillo, James Boksanski, Greg Landry, Ji Hyung Beak, Michelle Young, David T. Priefer, Kaïs Guessab, Crystal N. Ellis, and Ronny Priefer
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Alzheimer’s Disease ,anti-amyloidogenic ,extended chalcones ,neuroprotection ,Chemistry ,QD1-999 - Abstract
Alzheimer’s Disease (AD) is the most common form of dementia in individuals over the age of 65. There is no known prevention for the progression of the disease, although the FDA recently approved two drugs for AD. The exact etiology of AD is still under debate; however, it is commonly associated with the aggregation of amyloid-beta (Aβ) plaques in the brain. Recently some extended chalcones were reported to be potential anti-amyloidogenic agents. In this study, a larger library of extended chalcone analogs were synthesized with modifications on both rings. These were tested using the Thioflavin T fluorescence assay to measure their anti-Aβ aggregation properties. Three notably active compounds were further evaluated for potential neurotoxicity and neuroprotection using an MTT cell viability assay. These compounds were non-neurotoxic and displayed a trend toward neuroprotection. These were further assessed in a Drosophila melanogaster animal AD model. A forced climbing assay revealed statistically significant changes in flies’ movement by ~30% when fed these anti-amyloidogenic agents.
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- 2024
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6. The Role of Nerve Conduction Comparison Test and Ultrasonography in Diagnosing Carpal Tunnel Syndrome
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Kyusik Ahn, Kyusik Kang, Jong-Moo Park, Ohyun Kwon, Michelle Youn, Byung-Kun Kim, Jung-Ju Lee, and Woong-Woo Lee
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medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,medicine ,Radiology ,Electromyography ,Ultrasonography ,business ,Carpal tunnel syndrome ,medicine.disease ,Nerve conduction - Published
- 2020
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7. Synthesis and evaluation of Aza-PLADIPYs: A novel class of cytotoxic agents
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Tanvi A. Desphande, Andi Zeng, Michelle Young, Terrence Nicholson, Karen Luo, Sudip Timilsina, Bryan Q. Spring, Peter Müller, Neha Kulkarni, Swati Betharia, and Ronny Priefer
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Anti-cancer ,Cisplatin analogs ,Non-nephrotoxic ,Chemistry ,QD1-999 - Abstract
A novel class of platinum containing anticancer agents, specifically aza‑platinum-dipyrromethenes (aza-PLADIPYs) has been developed and assessed. These were synthesized with the aim of being dual-acting anticancer agents, hypothesized to produce both DNA crosslinking chemotoxicity and phototoxicity. The aza-PLADIPYs displayed a distorted square planar structure, which unexpectedly included a PtC bond. We compared the activity of these agents to that of Photofrin® (a photodynamic therapy (PDT) agent) and cisplatin (a DNA crosslinking agent). These compounds did not exhibit any PDT activity. However, they demonstrated promising cytotoxicity against partial cisplatin-resistant human ovarian carcinoma (OVCAR5) cells. Among the tested compounds, Compound 4 (R = OCH3) exhibited the highest cytotoxicity, achieving approximately 78 % cell death at 250 μM, which is significantly higher than the 54 % cell death observed with cisplatin at the same concentration. Impressively, the aza-PLADIPYs displayed virtually no nephrotoxicity at concentrations up to 250 μM, when tested on HK-2 kidney proximal tubule cells, overcoming one of the major dose-limiting side effects of platinum containing anticancer agents.
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- 2025
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8. Febrile Hashimoto’s encephalopathy mimicking infectious encephalitis
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Ohyun Kwon, Jung-Ju Lee, Byung Kun Kim, Kyusik Kang, Jong-Moo Park, Woong-Woo Lee, and Michelle Youn
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Pediatrics ,medicine.medical_specialty ,business.industry ,Immunology ,Encephalopathy ,medicine ,Infectious encephalitis ,Hashimoto's encephalopathy ,medicine.disease ,business - Published
- 2020
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9. Homotaurine and Curcumin Analogues as Potential Anti-Amyloidogenic Agents
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Jose Paredes Quiroz, Andi Zeng, Michelle Young, Patrick Gordon, Aadya Jaipuria, Kristi J. Reed, Greg M. Landry, Suhui Yang, Shreya Asher, Sabrina Ruoyao Chen Zhang, and Ronny Priefer
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Alzheimer’s disease ,anti-amyloidogenic ,aminopropylsulfonamides ,extended chalcones ,Chemistry ,QD1-999 - Abstract
Currently, there is neither a cure for Alzheimer’s disease (AD) nor a way to stop the progressive death of neuronal cells associated with this devastating aliment. To date, there are only medications that temporarily slow its progression, and do not interfere with its pathogenesis. One of the hallmarks of AD is the presence of amyloid-beta plaques derived from the metabolism of the amyloid precursor protein, via the cleavage by beta followed by gamma secretase. Homotaurine, a naturally occurring small molecule found in some seaweeds, and curcumin, a phenolic antioxidant found in Curcuma longa, have been extensively studied as potential compounds to prevent/reverse plaque formation. In this study, libraries of chalcones and extended chalcones based on curcumin, as well as aminopropylsulfonamides inspired by homotaurine, were synthesized. Using fluorescence spectroscopic analysis with Thioflavin T, the anti-aggregation effect on Aβ42 was determined. A select number of newly synthesized chalcones and extended chalcone analogs were revealed to be potential anti-amyloidogenic agents. These were further evaluated with regard to their neurotoxicity/neuroprotection. The extended chalcone analogs that displayed the most anti-aggregation effect on Aβ42 were further analyzed in an MTT assay. Although none of the compounds alone displayed any neurotoxicity, none were able to provide neuroprotection against Aβ42.
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- 2023
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10. A delirium prevalence audit and a pre and post evaluation of an interprofessional education intervention to increase staff knowledge about delirium in older adults
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Beverley Ewens, Karla Seaman, Lisa Whitehead, Amanda Towell-Barnard, and Michelle Young
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Delirium ,Delirium knowledge ,Symptom recognition ,Delirium assessment ,Interprofessional education, quality improvement ,Nursing ,RT1-120 - Abstract
Abstract Background Delirium is more prevalent in older people and estimated to occur in up to 50% of the hospital population. Delirium comprises a spectrum of behaviours, including cognitive and attention deficits, and fluctuating levels of consciousness, often associated with an underlying physiological disturbance. Delirium has been increasingly associated with adverse outcomes. Although often preventable or can at least be mitigated, delirium may not be a standard part of assessment and thus may not be recognized in the early stages when it is most likely to be treated successfully. The aim of this study was to evaluate the level of knowledge of delirium amongst clinicians caring for patients at high risk of developing delirium and to determine whether education can improve clinical assessment of delirium. Methods Two hundred and forty-six case notes were audited before and 149 were reviewed after the education intervention and implementation of a delirium screening tool. Clinicians at the hospital were invited to complete a questionnaire on knowledge of delirium. The questionnaire was based on a validated tool which contained 39 questions about delirium. The questionnaire also contained 28 questions on delirium knowledge. Additional questions were included to gather demographic information specific to the hospital. Descriptive statistics, chi square and independent t-tests were conducted to test for differences in knowledge between the pre and post periods. The Squire Checklist Reporting Guidelines for Quality Improvement Studies informed the preparation of the manuscript. Results The audit demonstrated that the use of a cognitive assessment tool overall increased from 8.5% in pre education to 43% in the post education period. One hundred and fifty-nine staff completed the questionnaire in total, 118 the pre and 41 post. The knowledge subscale score was high pre and post education and no statistically significant difference was observed. The greatest increase in knowledge was related to knowledge of the risk factors subscale. The increase in knowledge (6.8%) was statistically significant. Conclusion An interprofessional approach to delirium education was effective in not only increasing awareness of the factors associated with this syndrome but also increased the use of a delirium assessment tool.
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- 2021
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