116 results on '"Woon-Man Kung"'
Search Results
2. Editorial: The legacy of Dr. Rita Levi-Montalcini: advances in neurotrophic factors in brain disease development and treatment
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Wei-Jung Chen, Woon-Man Kung, and Muh-Shi Lin
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editorial ,the legacy of Dr. Rita Levi-Montalcin ,nerve growth factor (NGF) ,brain-derived neurotropic factor (BDNF) ,brain injuries and diseases ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Published
- 2024
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3. Editorial: Translational advances in Alzheimer's, Parkinson's, and other dementia: molecular mechanisms, biomarkers, diagnosis, and therapies, volume III
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Jiehui Jiang, Kuangyu Shi, Kenneth S. Hettie, Chih-Yu Hsu, and Woon-Man Kung
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Alzheimer's disease ,Parkinson's disease ,dementia ,neurodegenerative disorders ,big data mining ,imaging methods ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Published
- 2024
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4. Association between systemic rheumatic diseases and dementia risk: A meta-analysis
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Yao-Chin Wang, Muh-Shi Lin, Abel Po-Hao Huang, Chieh-Chen Wu, and Woon-Man Kung
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systemic rheumatic diseases ,osteoarthritis ,rheumatoid arthritis ,systemic lupus erythematosus ,Sjogren’s syndrome ,dementia ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Background and aimsEpidemiological studies have been conducted on the relationship between systemic rheumatic diseases (SRDs) and dementia. Therefore, we focused on determining the extent of alliances bounded by SRDs, along with the risk of dementia.Materials and methodsTwo independent reviewers assessed all studies retrieved from the PubMed, EMBASE, Scopus, and Web of Science databases between January 1, 2000 and November 30, 2021. Only observational studies that estimated the possibility of dementia in participants with SRD were considered. The random-effects model was applied to forecast pooled risk ratios (RRs) and 95% confidence intervals (CI). Heterogeneity among the studies was evaluated using the Q and I2 statistics. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. Funnel plots were used to calculate the risk of bias.ResultsSeventeen observational studies with 17,717,473 participants were recruited. Our findings showed that among the participants with SRDs, those with osteoarthritis, systemic lupus erythematosus, and Sjogren’s syndrome were highly related to an elevated risk of dementia (pooled RR: 1.31; 95% CI: 1.15–1.49, p
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- 2022
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5. Editorial: Translational advances in Alzheimer's, Parkinson's, and other dementia: Molecular mechanisms, biomarkers, diagnosis, and therapies, volume II
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Jiehui Jiang, Kuangyu Shi, Yiyun Henry Huang, Chih-Yu Hsu, Kenneth Scott Hettie, and Woon-Man Kung
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Alzheimer's disease ,Parkinson's disease ,dementia ,neurodegenerative disorders ,big data mining ,imaging methods ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Published
- 2022
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6. Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
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Yao-Chin Wang, Chieh-Chen Wu, Abel Po-Hao Huang, Po-Chun Hsieh, and Woon-Man Kung
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association rule analysis ,combination of acupoints ,Alzheimer’s disease ,systematic review ,meta-analysis ,randomized control trials ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
BackgroundAlzheimer’s disease (AD) is an ongoing neurological degeneration characterized by amnesia and a decline in cognitive abilities. Hippocampal neurogenesis is the leading cause of AD. Mild cognitive impairment (MCI), a prodromal state of AD, is mainly due to the degradation of neuropsychiatric manifestations. Previous systematic reviews demonstrated that treatment with acupuncture with Chinese herbs is tolerable and effective in improving cognitive function in patients with AD. Our investigation aimed to discover the main acupoint combination for AD management based on a preceding systematic review and meta-analysis of randomized control trials (RCTs).Materials and MethodsOur investigation was executed using association rule analysis, which is a common data mining technique accessible within R. Our study elucidated acupoint locations as binary data from 15 of the included studies using the Apriori algorithm.ResultsThirty-two acupoints were selected from 15 RCTs. The 10 most frequent acupoints were selected. We inspected 503 association rules using the interpreted acupuncture data. The obtained results showed that {SP6, BI10} ≥ {HT7} and {HT7, BI10} ≥ {SP6} were the most associated rules in 15 RCTs.ConclusionThe combination of acupoints ({SP6, BI10} ≥ {HT7} and {HT7, BI10} ≥ {SP6}) can be acknowledged as a core combination for future acupuncture regimens of AD.
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- 2022
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7. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis
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Chieh-Chen Wu, Chih-Wei Huang, Yao-Chin Wang, Md.Mohaimenul Islam, Woon-Man Kung, Yung-Ching Weng, and Chun-Hsien Su
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundResearch into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research has been published showing the research trend in this field. ObjectiveThe purpose of this study was to provide a dynamic and longitudinal bibliometric analysis of recent trends of mHealth research for weight loss, physical activity, and sedentary behavior. MethodsA comprehensive search was conducted through Web of Science to retrieve all existing relevant documents published in English between January 1, 2010, and November 1, 2021. We developed appropriate research questions; based on the proven bibliometric approaches, a search strategy was formulated to screen the title for eligibility. Finally, we conducted bibliometric analyses to explore the growth rate of publications; publication patterns; and the most productive authors, institutions, and countries, and visualized the trends in the field using a keyword co-occurrence network. ResultsThe initial search identified 8739 articles, of which 1035 were included in the analyses. Our findings show an exponential growth trend in the number of annual publications of mHealth technology research in these fields. JMIR mHealth and uHealth (n=214, 20.67%), Journal of Medical Internet Research (n=71, 6.86%), and BMC Public Health (n=36, 3.47%) were the top 3 journals, publishing higher numbers of articles. The United States remained the leading contributor in these areas (n=405, 39.13%), followed by Australia (n=154, 14.87%) and England (n=125, 12.07%). Among the universities, the University of Sydney (n=36, 3.47%) contributed the most mHealth technology research in these areas; however, Deakin University (n=25, 2.41%) and the National University of Singapore (n=23, 2.22%) were in the second and third positions, respectively. ConclusionsAlthough the number of papers published on mobile technologies for weight loss, physical activity, and sedentary behavior was initially low, there has been an overall increase in these areas in recent years. The findings of the study indicate that mobile apps and technologies have substantial potential to reduce weight, increase physical activity, and change sedentary behavior. Indeed, this study provides a useful overview of the publication trends and valuable guidance on future research directions and perspectives in this rapidly developing field.
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- 2022
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8. Cryogen spray cooling mitigates inflammation and injury-induced CISD2 decline in rat spinal cord hemisection model
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Woon-Man Kung, Cheng-Jen Chang, Tzu-Yung Chen, and Muh-Shi Lin
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cryogen spray cooling ,hypothermia ,cisd2 ,inflammatory responsey ,astrocyte activation ,apoptosis ,neuronal loss ,spinal cord injury ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Therapeutic strategies for traumatic spinal cord injury generally involve rectifying concomitant destruction to the spinal cord from inflammation, mitochondrial dysfunction, and eventual neuronal apoptosis. Elevating the expression of spinal cord injury-attenuated CDGSH iron-sulfur domain-2 has been shown to mitigate the pathologies above. In the current work, hypothermia was induced via continuous cryogen spray cooling in a rat spinal cord hemisection model. Spinal cord injury was shown to elevate the mRNA expression of proinflammatory mediators, including NFκB, iNOS, TNF-α, and regulated upon activation, normal T-cell expressed and secreted as well as lower CDGSH iron-sulfur domain-2 expression. Cryogen spray cooling treatment was shown to attenuate inflammatory reactions and elevate CDGSH iron-sulfur domain-2 expression. Immunohistochemical analysis of the glial fibrillary acidic protein, caspase-3 and NeuN in spinal cord injured rats that underwent cryogen spray cooling treatment revealed notable reductions in injury-induced astrocytic activation, apoptosis, neuronal loss, and decline in CDGSH iron-sulfur domain-2 expression. These results demonstrate the CDGSH iron-sulfur domain-2 preserving effects of cryogen spray cooling, which could contribute to the prevention of astrocytic activation, astrocyte-mediated neuroinflammation, apoptosis, and neuron loss.
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- 2020
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9. Editorial: Translational Advances in Alzheimer's, Parkinson's, and Other Neurodegenerative Dementias
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Jiehui Jiang, Kuangyu Shi, Fangyu Peng, Chih-Yu Hsu, and Woon-Man Kung
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Alzheimer's disease ,Parkinson's disease ,dementia ,neurodegenerative disorders ,big data mining ,imaging methods ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Published
- 2022
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10. Challenges and Perspectives of Neurological Disorders
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Dina Nur Anggraini Ningrum and Woon-Man Kung
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n/a ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Neurological disorders pose significant challenges to healthcare systems worldwide [...]
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- 2023
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11. Posterior Reversible Encephalopathy Syndrome after Lenvatinib Therapy in a Patient with Olfactory Neuroblastoma
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Yu-Ju Tseng, Chun-Nan Chen, Ruey-Long Hong, Woon-Man Kung, and Abel Po-Hao Huang
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posterior reversible encephalopathy syndrome ,lenvatinib ,olfactory neuroblastoma ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Posterior reversible encephalopathy syndrome (PRES) is a rare but severe neurological syndrome that may stem from the use of some medications. Although its mechanism is not well-known, hypertension and endothelial dysfunction have been mentioned in previous literature as being related. Lenvatinib serves as a neoplastic agent that inhibits the tyrosine kinase of vascular endothelial growth factor receptors (VEGFR). VEGFR inhibitors result in endothelial dysfunction and consequent hypertension by nitric oxide pathway suppression and endothelin (ET)-1 stimulation. We hypothesized that VEGFR inhibitors would cause PRES. Herein, we report the case of a 40-year-old man with olfactory neuroblastoma who developed PRES while undergoing treatment with lenvatinib, 7 months after initiation. The symptoms included loss of consciousness and seizures. Fortunately, the symptoms and presence of PRES in imaging resolved, 7 days and 1 month, respectively, after cessation of lenvatinib.
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- 2022
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12. Homogeneous Chronic Subdural Hematoma with Diverse Recurrent Possibilities
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Woon-Man Kung, Yao-Chin Wang, Wei-Jung Chen, and Muh-Shi Lin
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hyperdense ,hypodense homogeneous CSDHs ,mean hematoma density (MHD) ,postoperative recurrence ,Medicine (General) ,R5-920 - Abstract
Background: Evidence suggests that hyperdense (HD) chronic subdural hematomas (CSDHs) have a higher recurrence than hypodense (LD) chronic subdural hematomas. The value of mean hematoma density (MHD) has been proven to be associated with postoperative recurrence. The MHD levels in homogeneous CSDHs likely underestimate the risk of recurrence in HD homogeneous subtypes. Methods: This study investigated 42 consecutive CSDH cases between July 2010 and July 2014. The area of the hematoma was quantified to determine the MHD level using computer-based image analysis of preoperative brain CT scans. Results: In terms of the MHD distribution of the four types of CSDHs (homogeneous, laminar, separated, and trabecular), wide 95% CI (11.80–16.88) and high standard deviation (4.59) can be found in homogeneous types, reflecting a high variability in the MHD levels between cases (from low to high density). The categorization of homogeneous types into LD and HD (type five) displayed a minor standard deviation in the MHD levels for LD and HD subtypes (1.15, and 0.88, respectively). MHD values demonstrated concentrated distributions among the respective five types, compared to the four-type setting. Conclusions: In the current research, we provide a consideration that if LD and HD hematomas are separated from homogeneous CSDHs, the variability of the MHD quantification can potentially be reduced, thereby avoiding the possibility of undetected high-risk groups.
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- 2022
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13. An Innovative Scoring System for Predicting Major Adverse Cardiac Events in Patients With Chest Pain Based on Machine Learning
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Chieh-Chen Wu, Wen-Ding Hsu, Yao-Chin Wang, Woon-Man Kung, I-Shiang Tzeng, Chih-Wei Huang, Chu-Ya Huang, and Yu-Chuan Li
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Chest pain ,emergency department ,scoring system ,major adverse cardiac events ,ST-elevation myocardial infarction ,non–ST-elevation myocardial infarction ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Chest pain is a common complaint in the emergency department, but this may prevent a diagnosis of major adverse cardiac events, a composite of all-cause mortality associated with cardiovascular-related illnesses. To determine potential predictors of major adverse cardiac events in Taiwan, a pilot study was performed, involving the data from 268 patients with major adverse cardiac events, which was by an artificial neural network method. Nine biomarkers were selected for identifying non-ST-elevation myocardial infarction from common chest pain patients. By using a machine learning-based feature selection technique, five biomarkers were chosen from a set of 37 candidate variables. A full and a reduced risk stratification model were built. The full model was based on the characteristics of both invasive (i.e., creatinine and troponin I) and non-invasive (i.e., age, coronary artery disease risk factors, and corrected QT interval) variables, and the reduced model was based only on non-invasive variable characteristics. The full model showed a sensitivity of 0.948 and a specificity of 0.546 when the cutoff was set at 2 points, with a missed major adverse cardiac events rate of 1.32%, a positive predictive value of 0.228, and a negative predictive value of 0.987. High performance was also obtained with the five major biomarkers in the predictor built by the machine learning algorithm. The full model had the highest performance, but the reduced model can be applied as a quick and reasonably performing diagnostic tool.
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- 2020
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14. Association between Anemia and Risk of Parkinson Disease
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Yao-Chin Wang, Abel Po-Hao Huang, Sheng-Po Yuan, Chu-Ya Huang, Chieh-Chen Wu, Tahmina Nasrin Poly, Suleman Atique, and Woon-Man Kung
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background and Objective. People with anemia have higher rates of developing Parkinson disease (PD) than the general population. Previous epidemiological studies have invested the risk of PD in patients with anemia. However, the findings are still inconclusive. Therefore, we did a systematic review with meta-analysis to clarify the association between anemia and risk of PD. Methods. We systematically searched articles on electronic databases such as PubMed, Embase, Scopus, and Google Scholar between January 1, 2000 and July 30, 2020. Articles were independently evaluated by two authors. We included observational studies (case-control and cohort) and calculated the risk ratios (RRs) for associated with anemia and PD. Heterogeneity among the studies was assessed using the Q and I2 statistic. We utilized the random-effect model to calculate the overall RR with 95% CI. Results. A total of 342 articles were identified in the initial searches, and 7 full-text articles were evaluated for eligibility. Three articles were further excluded for prespecified reasons including insufficient data and duplications, and 4 articles were included in our systematic review and meta-analysis. A random effect model meta-analysis of all 4 studies showed no increased risk of PD in patients with anemia (N=4, RRadjusted=1.17 (95% CI: 0.94-1.45, p=0.15). However, heterogeneity among the studies was significant (I2=92.60, p=
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- 2021
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15. Ultrarapid Endoscopic-Aided Hematoma Evacuation in Patients with Thalamic Hemorrhage
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Kuan-Yu Chen, Woon-Man Kung, Lu-Ting Kuo, and Abel Po-Hao Huang
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Thalamic hemorrhage bears the worst outcome among supratentorial intracerebral hemorrhage (ICH). Minimally invasive endoscopic-aided surgery (MIS) has been proved to be safe and effective in evacuating ICH. However, the ideal timing of MIS is still a controversy. In this study, we present our experience in the treatment of patients with thalamic hemorrhage by ultrarapid MIS evacuation. This retrospective analysis enrolled seven patients treated with ultrarapid MIS evacuation of thalamic hemorrhage. Seven patients treated with EVD with similar ICH score were included as match control. Primary endpoints included rebleeding, morbidity, and mortality. Hematoma evacuation rate was evaluated by comparing the pre- and postoperative computed tomography (CT) scans. Glasgow Outcome Scale Extended (GOSE) and modified Rankin Score (mRS) were noted at the 6-month and 1-year postoperative follow-up. Among the seven patients, six were accompanied with intraventricular hemorrhage. All patients received surgery within 6 hours after the onset of stroke. The mean hematoma volume was 35 mL, and the mean operative time was 116.4 minutes. The median hematoma evacuation rate was 74.9%. There was no rebleeding or death reported after the surgery. The median GOSE and mRS were 3 and 5, respectively, at 6 months postoperatively. Further, 1-year postoperative median GOSE and mRS were 3 and 5, respectively. The data suggest that the ultrarapid MIS technique is a safe and effective way in the management of selected cases with thalamic hemorrhage, with favorable long-term functional outcomes. However, a large, prospective, randomized-controlled trial is needed to confirm these findings.
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- 2021
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16. Risks of Sulpiride-Induced Parkinsonism in Peptic Ulcer and Gastroesophageal Reflux Disease Patients in Taiwan: A Nationwide Population-Based Study
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Cheng-Yu Wei, I-Shiang Tzeng, Mei-Chen Lin, Yung-Hsiang Yeh, Chung Y. Hsu, and Woon-Man Kung
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sulpiride ,drug-induced parkinsonism ,peptic ulcer disease ,gastroesophageal reflux disease ,population-based study ,Therapeutics. Pharmacology ,RM1-950 - Abstract
BackgroundSulpiride is a highly selective dopamine D2 receptor antagonist and is commonly used in psychiatric disorders, Tourette syndrome, peptic ulcer disease (PUD), and gastroesophageal reflux disease (GERD). However, sulpiride has been recognized as a potential cause of drug-induced parkinsonism (DIP) for a long time. In this study, we aimed to focus on analysis of sulpiride-induced parkinsonism (SIP) in PUD and GERD patients based on a nationwide population.MethodsData were obtained from the Taiwan’s National Health Insurance Research Database. The study enrolled 5,275 PUD or GERD patients, of whom were divided into two groups, based on their exposure (1,055 cases) or non-exposure (4,220 cases) to sulpiride.ResultsDuring the study period (2000–2012), the incidence rate of parkinsonism was 261.5 and 762.2 per 100,000 person-years in the control and sulpiride-treated groups, respectively. For patients with at least 14 days of prescription for sulpiride, the adjusted hazard ratio (aHR) was 2.89, 95% confidence interval (CI): 2.04-4.11. Patients with age more than 65 years (aHR = 4.99, 95% CI = 2.58-9.65), hypertension (aHR = 2.39, 95% CI = 1.49-3.82), depression (aHR = 2.00, 95% CI = 1.38-2.91), and anxiety (aHR = 1.45, 95% CI = 1.01-2.09) had significant higher risk of developing parkinsonism. An average annual cumulative sulpiride dose > 1,103 mg was accompanied by the greatest risk of SIP; sulpiride use for ≥ 9 days is a cut-off point for predicting future SIP.ConclusionAt the population level, sulpiride may be frequently prescribed and apparently effective for PUD and GERD. SIP is associated with older age, hypertension, depression or anxiety comorbidities. Physicians should be aware of the neurogenic adverse effects, even when the drug is only used in low-dose or a short duration.
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- 2020
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17. CT-Based Quantitative Analysis for Pathological Features Associated With Postoperative Recurrence and Potential Application Upon Artificial Intelligence: A Narrative Review With a Focus on Chronic Subdural Hematomas
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Woon-Man Kung MD, MS and Muh-Shi Lin MD, PhD
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Biology (General) ,QH301-705.5 ,Medical technology ,R855-855.5 - Abstract
Chronic subdural hematomas (CSDHs) frequently affect the elderly population. The postoperative recurrence rate of CSDHs is high, ranging from 3% to 20%. Both qualitative and quantitative analyses have been explored to investigate the mechanisms underlying postoperative recurrence. We surveyed the pathophysiology of CSDHs and analyzed the relative factors influencing postoperative recurrence. Here, we summarize various qualitative methods documented in the literature and present our unique computer-assisted quantitative method, published previously, to assess postoperative recurrence. Imaging features of CSDHs, based on qualitative analysis related to postoperative high recurrence rate, such as abundant vascularity, neomembrane formation, and patent subdural space, could be clearly observed using the proposed quantitative analysis methods in terms of mean hematoma density, brain re-expansion rate, hematoma volume, average distance of subdural space, and brain shifting. Finally, artificial intelligence (AI) device types and applications in current health care are briefly outlined. We conclude that the potential applications of AI techniques can be integrated to the proposed quantitative analysis method to accomplish speedy execution and accurate prediction for postoperative outcomes in the management of CSDHs.
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- 2020
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18. Anti-Inflammatory CDGSH Iron-Sulfur Domain 2: A Biomarker of Central Nervous System Insult in Cellular, Animal Models and Patients
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Woon-Man Kung, Chai-Ching Lin, Wei-Jung Chen, Li-Lin Jiang, Yu-Yo Sun, Kuang-Hui Hsieh, and Muh-Shi Lin
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CISD2 ,CNS insult biomarker ,anti-inflammatory effect ,therapeutic target ,Biology (General) ,QH301-705.5 - Abstract
Spinal cord injury (SCI) promotes brain inflammation; conversely, brain injury promotes spinal neuron loss. There is a need to identify molecular biomarkers and therapeutic targets for central nervous system (CNS) injury. CDGSH iron-sulfur structural domain 2 (CISD2), an NF-κB antagonist, is downregulated after injury in vivo and in vitro. We aimed to examine the diagnostic value of CISD2 in patients with CNS insult. Plasma and cerebrospinal fluid (CSF) CISD2 levels were decreased in 13 patients with CNS insult and were negatively correlated with plasma IL6 levels (associated with disease severity; r = −0.7062; p < 0.01). SCI-induced inflammatory mediators delivered through CSF promoted mouse brain inflammation at 1 h post-SCI. Anti-CISD2 antibody treatment exacerbated SCI-induced inflammation in mouse spine and brain. Lipopolysaccharide-stimulated siCISD2-transfected EOC microglial cells exhibited proinflammatory phenotypes (enhanced M1 polarization, decreased M2 polarization, and increased intranuclear NF-κB p65 translocation). Plasma and CSF CISD2 levels were increased in three patients with CNS insult post-therapeutic hypothermia. CISD2 levels were negatively correlated with plasma and CSF levels of inflammatory mediators. CISD2 inhibition and potentiation experiments in cells, animals, and humans revealed CISD2 as a biomarker for CNS insult and upregulation of CISD2 anti-inflammatory properties as a potential therapeutic strategy for CNS insult.
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- 2022
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19. Enhancement of matrix metalloproteinases 2 and 9 accompanied with neurogenesis following collagen glycosaminoglycan matrix implantation after surgical brain injury
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Wei-Cherng Hsu, Chun-Hsien Yu, Woon-Man Kung, and Kuo-Feng Huang
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collagen glycosaminoglycan ,matrix metalloproteinases ,surgical brain trauma ,neurogenesis ,neural regeneration ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Surgical brain injury may result in irreversible neurological deficits. Our previous report showed that partial regeneration of a traumatic brain lesion is achieved by implantation of collagen glycosaminoglycan (CGM). Matrix metalloproteinases (MMPs) may play an important role in neurogenesis but there is currently a lack of studies displaying the relationship between the stimulation of MMPs and neurogenesis after collagen glycosaminoglycan implantation following surgical brain trauma. The present study was carried out to further examine the expression of MMP2 and MMP9 after implantation of collagen glycosaminoglycan (CGM) following surgical brain trauma. Using the animal model of surgically induced brain lesion, we implanted CGM into the surgical trauma. Rats were thus divided into three groups: (1) sham operation group: craniotomy only; (2) lesion (L) group: craniotomy + surgical trauma lesion; (3) lesion + CGM (L + CGM) group: CGM implanted following craniotomy and surgical trauma lesion. Cells positive for SOX2 (marker of proliferating neural progenitor cells) and matrix metalloproteinases (MMP2 and MMP9) in the lesion boundary zone were assayed and analyzed by immunofluorescence and ELISA commercial kits, respectively. Our results demonstrated that following implantation of CGM after surgical brain trauma, significant increases in MMP2+/SOX2+ cells and MMP9+/SOX2+ cells were seen within the lesion boundary zone in the L + CGM group. Tissue protein concentrations of MMP2 and MMP9 also increased after CGM scaffold implantation. These findings suggest that implantation of a CGM scaffold alone after surgical brain trauma can enhance the expression of MMP2 and MMP9 accompanied by neurogenesis.
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- 2018
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20. Wild Bitter Melon Exerts Anti-Inflammatory Effects by Upregulating Injury-Attenuated CISD2 Expression following Spinal Cord Injury
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Woon-Man Kung, Chai-Ching Lin, Chan-Yen Kuo, Yu-Ching Juin, Po-Ching Wu, and Muh-Shi Lin
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background. Spinal cord injuries (SCIs) induce secondary neuroinflammation through astrocyte reactivation, which adversely affects neuronal survival and eventually causes long-term disability. CDGSH iron sulfur domain 2 (CISD2), which has been reported to be involved in mediating the anti-inflammatory responses, can serve as a target in SCI therapy. Wild bitter melon (WBM; Momordica charantia Linn. var. abbreviata Ser.) contains an anti-inflammatory agent called alpha-eleostearic acid (α-ESA), a peroxisome proliferator-activated receptor-β (PPAR-β) ligand. Activated PPAR-β inhibits the nuclear factor κB (NF-κB) signaling pathway via the inhibition of IκB (inhibitor of NF-κB) degradation. The role of astrocyte deactivation and CISD2 in anti-inflammatory mechanisms of WBM in acute SCIs is unknown. Materials and Methods. A mouse model of SCI was generated via spinal cord hemisection. The SCI mice were administered WBM intraperitoneally (500 mg/kg bodyweight). Lipopolysaccharide- (LPS-) stimulated ALT cells (astrocytes) were used as an in vitro model for studying astrocyte-mediated inflammation post-SCI. The roles of CISD2 and PPAR-β in inflammatory signaling were examined using LPS-stimulated SH-SY5Y cells transfected with si-CISD2 or scramble RNA. Results. WBM mitigated the SCI-induced downregulation of CISD2, PPAR-β, and IκB and upregulation of glial fibrillary acidic protein (GFAP; marker of astrocyte reactivation) in the spinal cord of SCI mice. Additionally, WBM (1 μg/mL) mitigated LPS-induced CISD2 downregulation. Furthermore, SH-SY5Y neural cells with CISD2 knockdown exhibited decreased PPAR-β expression and augmented NF-κB signaling. Conclusion. To the best of our knowledge, this is the first study to report that CISD2 is an upstream modulator of the PPAR-β/NF-κB proinflammatory signaling pathway in neural cells, and that WBM can mitigate the injury-induced downregulation of CISD2 in SCI mice and LPS-stimulated ALT astrocytes.
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- 2020
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21. Anemia and the Risk of Cognitive Impairment: An Updated Systematic Review and Meta-Analysis
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Woon-Man Kung, Sheng-Po Yuan, Muh-Shi Lin, Chieh-Chen Wu, Md. Mohaimenul Islam, Suleman Atique, Musa Touray, Chu-Ya Huang, and Yao-Chin Wang
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anemia ,dementia ,Alzheimer’s ,cognitive impairment ,iron deficiency ,meta-analysis ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background: Cognitive impairment is one of the most common, burdensome, and costly disorders in the elderly worldwide. The magnitude of the association between anemia and overall cognitive impairment (OCI) has not been established. Objective: We aimed to update and expand previous evidence of the association between anemia and the risk of OCI. Methods: We conducted an updated systematic review and meta-analysis. We searched electronic databases, including EMBASE, PubMed, and Web of Science for published observational studies and clinical trials between 1 January 1990 and 1 June 2020. We excluded articles that were in the form of a review, letter to editors, short reports, and studies with less than 50 participants. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. We estimated summary risk ratios (RRs) with random effects. Results: A total of 20 studies, involving 6558 OCI patients were included. Anemia was significantly associated with an increased risk of OCI (adjusted RR (aRR) 1.39 (95% CI, 1.25–1.55; p < 0.001)). In subgroup analysis, anemia was also associated with an increased risk of all-cause dementia (adjusted RR (aRR), 1.39 (95% CI, 1.23–1.56; p < 0.001)), Alzheimer’s disease [aRR, 1.59 (95% CI, 1.18–2.13; p = 0.002)], and mild cognitive impairment (aRR, 1.36 (95% CI, 1.04–1.78; p = 0.02)). Conclusion: This updated meta-analysis shows that patients with anemia appear to have a nearly 1.39-fold risk of developing OCI than those without anemia. The magnitude of this risk underscores the importance of improving anemia patients’ health outcomes, particularly in elderly patients.
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- 2021
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22. Surgery for Coagulopathy-Related Intracerebral Hemorrhage: Craniotomy vs. Minimally Invasive Neurosurgery
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Yen-Bo Liu, Lu-Ting Kuo, Chih-Hao Chen, Woon-Man Kung, Hsin-Hsi Tsai, Sheng-Chieh Chou, Shih-Hung Yang, Kuo-Chuan Wang, Dar-Ming Lai, and Abel Po-Hao Huang
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intracerebral hemorrhage ,coagulopathy ,minimally invasive neurosurgery ,comparison of surgical outcomes ,Science - Abstract
Coagulopathy-related intracerebral hemorrhage (ICH) is life-threatening. Recent studies have shown promising results with minimally invasive neurosurgery (MIN) in the reduction of mortality and improvement of functional outcomes, but no published data have recorded the safety and efficacy of MIN for coagulopathy-related ICH. Seventy-five coagulopathy-related ICH patients were retrospectively reviewed to compare the surgical outcomes between craniotomy (n = 52) and MIN (n = 23). Postoperative rebleeding rates, morbidity rates, and mortality at 1 month were analyzed. Postoperative Glasgow Outcome Scale Extended (GOSE) and modified Rankin Scale (mRS) scores at 1 year were assessed for functional outcomes. Morbidity, mortality, and rebleeding rates were all lower in the MIN group than the craniotomy group (8.70% vs. 30.77%, 8.70% vs. 19.23%, and 4.35% vs. 23.08%, respectively). The 1-year GOSE score was significantly higher in the MIN group than the craniotomy group (3.96 ± 1.55 vs. 3.10 ± 1.59, p = 0.027). Multivariable logistic regression analysis also revealed that MIN contributed to improved GOSE (estimate: 0.99650, p = 0.0148) and mRS scores (estimate: −0.72849, p = 0.0427) at 1 year. MIN, with low complication rates and improved long-term functional outcome, is feasible and favorable for coagulopathy-related ICH. This promising result should be validated in a large-scale prospective study.
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- 2021
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23. Do Orthopedic Surgeons or Neurosurgeons Detect More Hip Disorders in Patients with Hip-Spine Syndrome? A Nationwide Database Study
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Tsung-Cheng Yin, Adam M. Wegner, Meng-Ling Lu, Yao-Hsu Yang, Yao-Chin Wang, Woon-Man Kung, and Wei-Cheng Lo
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hip-spine syndrome ,total hip arthroplasty ,orthopedic surgeon ,neurosurgeon ,Taiwan National Health Insurance Research Database ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background: Disorders of the hip and lumbar spine can create similar patterns of pain and dysfunction. It is unknown whether all surgeons, regardless of orthopedic or neurosurgery training, investigate and diagnose concurrent hip and spine pathology at the same rate. Methods: Data were retrieved from Taiwan’s National Health Insurance Research Database (NHIRD). Enrolled patients were stratified into hip and spine surgery at the same admission (Both), hip surgery before spine surgery (HS), or spine surgery before hip surgery (SH). The SH group was further subdivided based on whether spine surgery was performed by an orthopedic surgeon (OS) or neurosurgeon (NS), and differences in preoperative radiographic examinations and diagnoses were collected and analyzed. Results: In total, 1824 patients received lumbar spine surgery within 1 year before or after hip replacement surgery. Of these, 103 patients had spine and hip surgery in the same admission (Both), 1290 patients had spine surgery before hip surgery (SH), and 431 patients had hip surgery before spine surgery (HS). In the SH group, patients were categorized into spine surgery by orthopedic surgeons (OS) (n = 679) or neurosurgeons (NS) (n = 522). In the SH group, orthopedic surgeons investigated hip pathology with X-rays more often (52.6% vs. 38.1%, p < 0.001) and diagnosed more cases of hip disease (43.6% vs. 28.9%, p < 0.001) than neurosurgeons. Conclusions: Of patients in Taiwan’s NHIRD who had concurrent surgical degenerative hip and lumbar spine disorders who had spine surgery before hip surgery, orthopedic surgeons obtained hip images and made hip-related diagnoses more frequently than did neurosurgeons.
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- 2021
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24. Simulating Expansion of the Intracranial Space to Accommodate Brain Swelling after Decompressive Craniectomy: Volumetric Quantification in a 3D CAD Skull Model with Contour Elevation
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Woon-Man Kung, Yao-Chin Wang, I-Shiang Tzeng, Yu-Te Chen, and Muh-Shi Lin
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decompressive craniectomy ,3D CAD skull model ,image processing ,quantitative analysis ,numerical integration with the rectangle method ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background: Decompressive craniectomy (DC) can be used to augment intracranial space and halt brainstem compromise. However, a widely adopted recommendation for optimal surgical extent of the DC procedure is lacking. In the current study, we utilized three-dimensional (3D) computer-assisted design (CAD) skull models with defect contour elevation for quantitative assessment. Methods: DC was performed for 15 consecutive patients, and 3D CAD models of defective skulls with contour elevations (0–50 mm) were reconstructed using commercial software. Quantitative assessments were conducted in these CAD subjects to analyze the effects of volumetric augmentation when elevating the length of the contour and the skull defect size. The final positive results were mathematically verified using a computerized system for numerical integration with the rectangle method. Results: Defect areas of the skull CAD models ranged from 55.7–168.8 cm2, with a mean of 132.3 ± 29.7 cm2. As the contour was elevated outward for 6 mm or above, statistical significance was detected in the volume and the volume-increasing rate, when compared to the results obtained from the regular CAD model. The volume and the volume-increasing rate increased by 3.665 cm3, 0.285% (p < 0.001) per 1 mm of contour elevation), and 0.034% (p < 0.001) per 1 cm2 of increase of defect area, respectively. Moreover, a 1 mm elevation of the contour in Groups 2 (defect area 125–150 cm2) and 3 (defect area >150 cm2, as a proxy for an extremely large skull defect) was shown to augment the volume and the volume-increasing rate by 1.553 cm3, 0.101% (p < 0.001) and 1.126 cm3, 0.072% (p < 0.001), respectively, when compared to those in Group 1 (defect area 2). The volumetric augmentation achieved by contour elevation for an extremely large skull defect was smaller than that achieved for a large skull defect. Conclusions: The 3D CAD skull model contour elevation method can be effectively used to simulate the extent of a space-occupying swollen brain and to quantitatively assess the extent of brainstem protection in terms of volume augmentation and volume-increasing rate following DC. As the tangential diameter (representing the degree of DC) exceeded the plateau value, volumetric augmentation was attenuated. However, an increasing volumetric augmentation was detected before the plateau value was reached.
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- 2021
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25. Three-Dimensional CAD in Skull Reconstruction: A Narrative Review with Focus on Cranioplasty and Its Potential Relevance to Brain Sciences
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Woon-Man Kung, I-Shiang Tzeng, and Muh-Shi Lin
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decompressive craniectomy ,cranioplasty ,3-d cad/cam ,alloplastic implants ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
In patients suffering from severe traumatic brain injury and massive stroke (hemorrhagic or ischemic), decompressive craniectomy (DC) is a surgical strategy used to reduce intracranial pressure, and to prevent brainstem compromise from subsequent brain edema. In surviving patients, cranioplasty surgery helps to protect brain tissue, and correct the external deformity. The aesthetic outcome of cranioplasty using an asymmetrical implant can negatively influence patients physically and mentally, especially young patients. Advancements in the development of biomaterials have now made three-dimensional (3-D) computer-assisted design/manufacturing (CAD/CAM)-fabricated implants an optimal choice for the repair of skull defects following DC. Here, we summarize the various materials for cranioplasty, including xenogeneic, autogenous, and alloplastic grafts. The processing procedures of the CAD/CAM technique are briefly outlined, and reflected our experiences to reconstruct skull CAD models using commercial software, published previously, to assess aesthetic outcomes of regular 3-D CAD models without contouring elevation or depression. The establishment of a 3-D CAD model ensures a possibility for better aesthetic outcomes of CAM-derived alloplastic implants. Finally, clinical consideration of the CAD algorithms for adjusting contours and their potential application in prospective healthcare are briefly outlined.
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- 2020
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26. Behavioural and Cognitive Changes in Lewy Body Dementias
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Woon-Man Kung, Ying-Jui Ho, Hiroshi Yoshizawa, Shinro Matsuo, and Cheng-Yu Wei
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Published
- 2018
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27. Metabolic Risk Factors of Alzheimer’s Disease, Dementia with Lewy Bodies, and Normal Elderly: A Population-Based Study
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Chih-Kuang Cheng, Yu-Chien Tsao, Yuan-Chih Su, Fung-Chang Sung, Hsu-Chih Tai, and Woon-Man Kung
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background. Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB) share many risk factors. Evidence suggests that metabolic risk factors are important to AD; however, their association with DLB is unclear. The risk of cardiovascular diseases (CVD) associated with AD and DLB is also uncertain. Thus, this nationwide, population-based study was designed to evaluate the metabolic and CVD risks in AD and DLB. Materials and Methods. Data were obtained from the Taiwan National Health Insurance Research Database. AD patients, DLB patients, and normal control (NC) individuals from 1996 to 2013 were enrolled for risk assessment. Results. In total, 7544 NC individuals, 1324 AD patients, and 562 DLB patients were enrolled. Participants with one or more metabolic risk factors had significantly higher odds of AD or DLB. No significant differences in metabolic risk factors were observed between DLB and AD patients. AD patients had a lower risk of CVD (aHR = 0.67, 95% CI = 0.59–0.76, p value
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- 2018
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28. Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation
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Kuo-Kun Tseng, Xialong He, Woon-Man Kung, Shuo-Tsung Chen, Minghong Liao, and Huang-Nan Huang
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integrating ,watermarking ,ECG ,compression ,Chemical technology ,TP1-1185 - Abstract
In the current open society and with the growth of human rights, people are more and more concerned about the privacy of their information and other important data. This study makes use of electrocardiography (ECG) data in order to protect individual information. An ECG signal can not only be used to analyze disease, but also to provide crucial biometric information for identification and authentication. In this study, we propose a new idea of integrating electrocardiogram watermarking and compression approach, which has never been researched before. ECG watermarking can ensure the confidentiality and reliability of a user’s data while reducing the amount of data. In the evaluation, we apply the embedding capacity, bit error rate (BER), signal-to-noise ratio (SNR), compression ratio (CR), and compressed-signal to noise ratio (CNR) methods to assess the proposed algorithm. After comprehensive evaluation the final results show that our algorithm is robust and feasible.
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- 2014
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29. Simultaneous Cranioplasty and Subdural-Peritoneal Shunting for Contralateral Symptomatic Subdural Hygroma following Decompressive Craniectomy
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Muh-Shi Lin, Tzu-Hsuan Chen, Woon-Man Kung, and Shuo-Tsung Chen
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Technology ,Medicine ,Science - Abstract
Background. Contralateral subdural hygroma caused by decompressive craniectomy tends to combine with external cerebral herniation, causing neurological deficits. Material and Methods. Nine patients who underwent one-stage, simultaneous cranioplasty and contralateral subdural-peritoneal shunting were included in this study. Clinical outcome was assessed by Glasgow Outcome Scale as well as Glasgow Coma Scale, muscle power scoring system, and complications. Results. Postoperative computed tomography scans demonstrated completely resolved subdural hygroma and reversed midline shifts, indicating excellent outcome. Among these 9 patients, 4 patients (44%) had improved GOS following the proposed surgery. Four out of 4 patients with lethargy became alert and orientated following surgical intervention. Muscle strength improved significantly 5 months after surgery in 7 out of 7 patients with weakness. Two out of 9 patients presented with drowsiness due to hydrocephalus at an average time of 65 days after surgery. Double gradient shunting is useful to eliminate the respective hydrocephalus and contralateral subdural hygroma. Conclusion. The described surgical technique is effective in treating symptomatic contralateral subdural hygroma following decompressive craniectomy and is associated with an excellent structural and functional outcome. However, subdural-peritoneal shunting plus cranioplasty thoroughly resolves the subdural hygroma collection, which might deteriorate the cerebrospinal fluid circulation, leading to hydrocephalus.
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- 2015
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30. Verifying three-dimensional skull model reconstruction using cranial index of symmetry.
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Woon-Man Kung, Shuo-Tsung Chen, Chung-Hsiang Lin, Yu-Mei Lu, Tzu-Hsuan Chen, and Muh-Shi Lin
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Medicine ,Science - Abstract
BackgroundDifficulty exists in scalp adaptation for cranioplasty with customized computer-assisted design/manufacturing (CAD/CAM) implant in situations of excessive wound tension and sub-cranioplasty dead space. To solve this clinical problem, the CAD/CAM technique should include algorithms to reconstruct a depressed contour to cover the skull defect. Satisfactory CAM-derived alloplastic implants are based on highly accurate three-dimensional (3-D) CAD modeling. Thus, it is quite important to establish a symmetrically regular CAD/CAM reconstruction prior to depressing the contour. The purpose of this study is to verify the aesthetic outcomes of CAD models with regular contours using cranial index of symmetry (CIS).Materials and methodsFrom January 2011 to June 2012, decompressive craniectomy (DC) was performed for 15 consecutive patients in our institute. 3-D CAD models of skull defects were reconstructed using commercial software. These models were checked in terms of symmetry by CIS scores.ResultsCIS scores of CAD reconstructions were 99.24±0.004% (range 98.47-99.84). CIS scores of these CAD models were statistically significantly greater than 95%, identical to 99.5%, but lower than 99.6% (pConclusionsCIS calculation is beneficial to assess aesthetic outcomes of CAD-reconstructed skulls in terms of cranial symmetry. This enables further accurate CAD models and CAM cranial implants with depressed contours, which are essential in patients with difficult scalp adaptation.
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- 2013
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31. Impact of gut–brain interaction in emerging neurological disorders
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Muh-Shi Lin, Yao-Chin Wang, Wei-Jung Chen, and Woon-Man Kung
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General Medicine - Published
- 2023
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32. Salmonella Group D1 Subdural Empyema Mimicking Subdural Hematoma: A Case Report
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Hao-Fang Lu, Chung-Tai Yue, and Woon-Man Kung
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Pharmacology ,Infectious Diseases ,Pharmacology (medical) - Published
- 2022
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33. Drugs to Treat Neuroinflammation in Neurodegenerative Disorders
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Sunil Kumar, Yao-Chin Wang, Woon-Man Kung, and Yi-Hsiu Chung
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Pharmacology ,Drug Discovery ,Organic Chemistry ,Molecular Medicine ,Biochemistry - Abstract
Abstract: Neuroinflammation is associated with disorders of the nervous system, and it is induced in response to many factors, including pathogen infection, brain injury, toxic substances, and autoimmune diseases. Astrocytes and microglia have critical roles in neuroinflammation. Microglia are innate immune cells in the central nervous system (CNS), which are activated in reaction to neuroinflammation-inducing factors. Astrocytes can have pro- or anti-inflammatory responses, which depend on the type of stimuli presented by the inflamed milieu. Microglia respond and propagate peripheral inflammatory signals within the CNS that cause low-grade inflammation in the brain. The resulting alteration in neuronal activities leads to physiological and behavioral impairment. Consequently, activation, synthesis, and discharge of various pro-inflammatory cytokines and growth factors occur. These events lead to many neurodegenerative conditions, such as Alzheimer's disease, Parkinson's disease, and multiple sclerosis discussed in this study. After understanding neuroinflammation mechanisms and the involvement of neurotransmitters, this study covers various drugs used to treat and manage these neurodegenerative illnesses. The study can be helpful in discovering new drug molecules for treating neurodegenerative disorders.
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- 2023
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34. Optimization-based image watermarking with integrated quantization embedding in the wavelet-domain.
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Shuo-Tsung Chen, Huang-Nan Huang, Woon-Man Kung, and Chih-Yu Hsu
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- 2016
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35. Optimization-Based Embedding for Wavelet-Domain Audio Watermarking.
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Huang-Nan Huang, Shuo-Tsung Chen, Muh-Shi Lin, Woon-Man Kung, and Chih-Yu Hsu
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- 2015
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36. Homogeneous Chronic Subdural Hematoma with Diverse Recurrent Possibilities
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Yao-Chin Wang, Wei-Jung Chen, Muh-Shi Lin, and Woon-Man Kung
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Clinical Biochemistry ,hyperdense ,hypodense homogeneous CSDHs ,mean hematoma density (MHD) ,postoperative recurrence - Abstract
Background: Evidence suggests that hyperdense (HD) chronic subdural hematomas (CSDHs) have a higher recurrence than hypodense (LD) chronic subdural hematomas. The value of mean hematoma density (MHD) has been proven to be associated with postoperative recurrence. The MHD levels in homogeneous CSDHs likely underestimate the risk of recurrence in HD homogeneous subtypes. Methods: This study investigated 42 consecutive CSDH cases between July 2010 and July 2014. The area of the hematoma was quantified to determine the MHD level using computer-based image analysis of preoperative brain CT scans. Results: In terms of the MHD distribution of the four types of CSDHs (homogeneous, laminar, separated, and trabecular), wide 95% CI (11.80–16.88) and high standard deviation (4.59) can be found in homogeneous types, reflecting a high variability in the MHD levels between cases (from low to high density). The categorization of homogeneous types into LD and HD (type five) displayed a minor standard deviation in the MHD levels for LD and HD subtypes (1.15, and 0.88, respectively). MHD values demonstrated concentrated distributions among the respective five types, compared to the four-type setting. Conclusions: In the current research, we provide a consideration that if LD and HD hematomas are separated from homogeneous CSDHs, the variability of the MHD quantification can potentially be reduced, thereby avoiding the possibility of undetected high-risk groups.
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- 2022
37. Lumbar Extradural Pseudogout Mass Manifesting as Radiculopathy: A Case Report
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Woon-Man Kung, Chung-Tai Yue, and Po-Cheng Lo
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musculoskeletal diseases ,polarized light microscopy ,medicine.medical_specialty ,medicine.medical_treatment ,Case Report ,Wrist ,Knee Joint ,Lumbar ,Arthropathy ,medicine ,General Nursing ,sciatica ,Sciatica ,business.industry ,Laminectomy ,General Medicine ,medicine.disease ,calcium pyrophosphate dihydrate ,lumbar extradural tumor ,medicine.anatomical_structure ,Radiology ,Pseudogout ,Differential diagnosis ,medicine.symptom ,business ,birefringent crystals - Abstract
Background Calcium pyrophosphate dihydrate (CPPD) disease, also known as pyrophosphate arthropathy or pseudogout, is defined as CPPD deposition within the articular cartilage. It was first described in 1962. The representative locations where CPPD disease occurs include the most common knee joint, followed by the wrist joint. Joint swelling and pain are the most common clinical presentations, and the typical differential diagnosis is degenerative arthritis. Microscopically, the specimen demonstrates numerous positively birefringent rhomboid shaped crystals when examined under polarized light. Case Report We present a 70-year-old female with right painful sciatica accompanied by coexisting affected limb soreness and clumsiness. Her final diagnosis was unusual lumbar extradural tumoral pseudogout that was worth noticing. Tumoral CPPD deposition was excised after laminectomy. Subsequently, her symptoms were abated postoperatively without a need for more analgesics. Her neurological function was properly recovered. Conclusion This is a rare report to proffer pseudogout in an unfamiliar lumbar extradural location, which is an unexpected diagnosis. Making a precise tentative diagnosis for the ongoing disease entity might be difficult for the clinicians because the clinical manifestations of this pathology are similar to those of other common degenerative lumbar spinal diseases.
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- 2021
38. Cryogen spray cooling mitigates inflammation and injury-induced CISD2 decline in rat spinal cord hemisection model
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Tzu Yung Chen, Woon-Man Kung, Cheng Jen Chang, and Muh-Shi Lin
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Male ,Pathology ,medicine.medical_specialty ,astrocyte activation ,Inflammation ,050105 experimental psychology ,Proinflammatory cytokine ,lcsh:RC321-571 ,Rats, Sprague-Dawley ,03 medical and health sciences ,0302 clinical medicine ,Hypothermia, Induced ,inflammatory responsey ,medicine ,Animals ,0501 psychology and cognitive sciences ,Spinal cord injury ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Neuroinflammation ,Spinal Cord Injuries ,cisd2 ,biology ,Glial fibrillary acidic protein ,business.industry ,cryogen spray cooling ,General Neuroscience ,05 social sciences ,apoptosis ,Membrane Proteins ,General Medicine ,Hypothermia ,medicine.disease ,Spinal cord ,spinal cord injury ,Rats ,Disease Models, Animal ,medicine.anatomical_structure ,Astrocytes ,biology.protein ,neuronal loss ,medicine.symptom ,NeuN ,business ,hypothermia ,030217 neurology & neurosurgery - Abstract
Therapeutic strategies for traumatic spinal cord injury generally involve rectifying concomitant destruction to the spinal cord from inflammation, mitochondrial dysfunction, and eventual neuronal apoptosis. Elevating the expression of spinal cord injury-attenuated CDGSH iron-sulfur domain-2 has been shown to mitigate the pathologies above. In the current work, hypothermia was induced via continuous cryogen spray cooling in a rat spinal cord hemisection model. Spinal cord injury was shown to elevate the mRNA expression of proinflammatory mediators, including NFκB, iNOS, TNF-α, and regulated upon activation, normal T-cell expressed and secreted as well as lower CDGSH iron-sulfur domain-2 expression. Cryogen spray cooling treatment was shown to attenuate inflammatory reactions and elevate CDGSH iron-sulfur domain-2 expression. Immunohistochemical analysis of the glial fibrillary acidic protein, caspase-3 and NeuN in spinal cord injured rats that underwent cryogen spray cooling treatment revealed notable reductions in injury-induced astrocytic activation, apoptosis, neuronal loss, and decline in CDGSH iron-sulfur domain-2 expression. These results demonstrate the CDGSH iron-sulfur domain-2 preserving effects of cryogen spray cooling, which could contribute to the prevention of astrocytic activation, astrocyte-mediated neuroinflammation, apoptosis, and neuron loss.
- Published
- 2020
39. Proton Pump Inhibitors and Risk of Chronic Kidney Disease: Evidence from Observational Studies
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Chieh-Chen Wu, Mao-Hung Liao, Woon-Man Kung, and Yao-Chin Wang
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General Medicine ,proton pump inhibitors ,kidney disease ,chronic kidney disease ,acute kidney disease ,meta-analysis - Abstract
Previous epidemiological studies have raised the concern that the use of proton pump inhibitors (PPIs) is associated with an increased risk of kidney diseases. To date, no comprehensive meta-analysis has been conducted to assess the association between PPIs and the risk of chronic kidney disease (CKD). Therefore, we conducted a systematic review and meta-analysis to address the association between PPIs and CKD. The primary search was conducted in the most popular databases, such as PubMed, Scopus, and Web of Science. All observational studies evaluated the risk of CKD among PPI users, and non-users were considered for inclusion. Two reviewers conducted data extraction and assessed the risk of bias. Random-effect models were used to calculate pooled effect sizes. A total of 6,829,905 participants from 10 observational studies were included. Compared with non-PPI use, PPI use was significantly associated with an increased risk of CKD (RR 1.72, 95% CI: 1.02–2.87, p = 0.03). This updated meta-analysis showed that PPI was significantly associated with an increased risk of CKD. Association was observed in the same among moderate-quality studies. Until further randomized control trials (RCTs) and biological studies confirm these results, PPI therapy should not stop patients with gastroesophageal reflux disease (GERD). However, caution should be used when prescribing to patients with high-risk kidney disease.
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- 2023
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40. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis (Preprint)
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Chieh-Chen Wu, Chih-Wei Huang, Yao-Chin Wang, Md.Mohaimenul Islam, Woon-Man Kung, Yung-Ching Weng, and Chun-Hsien Su
- Abstract
BACKGROUND Research into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research has been published showing the research trend in this field. OBJECTIVE The purpose of this study was to provide a dynamic and longitudinal bibliometric analysis of recent trends of mHealth research for weight loss, physical activity, and sedentary behavior. METHODS A comprehensive search was conducted through Web of Science to retrieve all existing relevant documents published in English between January 1, 2010, and November 1, 2021. We developed appropriate research questions; based on the proven bibliometric approaches, a search strategy was formulated to screen the title for eligibility. Finally, we conducted bibliometric analyses to explore the growth rate of publications; publication patterns; and the most productive authors, institutions, and countries, and visualized the trends in the field using a keyword co-occurrence network. RESULTS The initial search identified 8739 articles, of which 1035 were included in the analyses. Our findings show an exponential growth trend in the number of annual publications of mHealth technology research in these fields. JMIR mHealth and uHealth (n=214, 20.67%), Journal of Medical Internet Research (n=71, 6.86%), and BMC Public Health (n=36, 3.47%) were the top 3 journals, publishing higher numbers of articles. The United States remained the leading contributor in these areas (n=405, 39.13%), followed by Australia (n=154, 14.87%) and England (n=125, 12.07%). Among the universities, the University of Sydney (n=36, 3.47%) contributed the most mHealth technology research in these areas; however, Deakin University (n=25, 2.41%) and the National University of Singapore (n=23, 2.22%) were in the second and third positions, respectively. CONCLUSIONS Although the number of papers published on mobile technologies for weight loss, physical activity, and sedentary behavior was initially low, there has been an overall increase in these areas in recent years. The findings of the study indicate that mobile apps and technologies have substantial potential to reduce weight, increase physical activity, and change sedentary behavior. Indeed, this study provides a useful overview of the publication trends and valuable guidance on future research directions and perspectives in this rapidly developing field.
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- 2021
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41. A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record
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Phung Anh Nguyen, Dina Nur Anggraini Ningrum, Chieh-Chen Wu, I-Shiang Tzeng, Woon-Man Kung, Sheng-Po Yuan, Yao-Chin Wang, Chu-Ya Huang, Muhammad Solihuddin Muhtar, and Jack Yu-Chuan Li
- Subjects
medicine.medical_specialty ,Receiver operating characteristic ,business.industry ,precision medicine ,Medical record ,Journal of Multidisciplinary Healthcare ,Respiratory infection ,General Medicine ,Osteoarthritis ,artificial intelligence ,Precision medicine ,medicine.disease ,Clinical decision support system ,medical informatics application ,clinical decision support system ,Discriminative model ,Internal medicine ,medicine ,Medical diagnosis ,business ,General Nursing ,Original Research - Abstract
Dina Nur Anggraini Ningrum,1â 3 Woon-Man Kung,4 I-Shiang Tzeng,4â 6 Sheng-Po Yuan,1,7 Chieh-Chen Wu,4 Chu-Ya Huang,8 Muhammad Solihuddin Muhtar,2 Phung-Anh Nguyen,2,9 Jack Yu-Chuan Li,1,2,10,11 Yao-Chin Wang12,13 1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; 2International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan; 3Public Health Department, Faculty of Sport Science, Universitas Negeri Semarang, Semarang City, Indonesia; 4Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan; 5Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan; 6Department of Statistics, National Taipei University, Taipei, Taiwan; 7Department of Otorhinolaryngology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; 8Taiwan College of Healthcare Executives, Taipei, Taiwan; 9Department of Healthcare Information and Management, Ming Chuan University, Taoyuan, Taiwan; 10Department of Dermatology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; 11TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan; 12Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan; 13Department of Emergency Medicine, Min-Sheng General Hospital, Taoyuan, TaiwanCorrespondence: Jack Yu-Chuan Li Email jack@tmu.edu.tw; jaak88@gmail.comYao-Chin Wang Email vkwang8888@yahoo.com.twPurpose: To develop deep learning model (Deep-KOA) that can predict the risk of knee osteoarthritis (KOA) within the next year by using the previous three years nonimage-based electronic medical record (EMR) data.Patients and Methods: We randomly selected information of two million patients from the Taiwan National Health Insurance Research Database (NHIRD) from January 1, 1999 to December 31, 2013. During the study period, 132,594 patients were diagnosed with KOA, while 1,068,464 patients without KOA were chosen randomly as control. We constructed a feature matrix by using the three-year history of sequential diagnoses, drug prescriptions, age, and sex. Deep learning methods of convolutional neural network (CNN) and artificial neural network (ANN) were used together to develop a risk prediction model. We used the area under the receiver operating characteristic (AUROC), sensitivity, specificity, and precision to evaluate the performance of Deep-KOA. Then, we explored the important features using stepwise feature selection.Results: This study included 132,594 KOA patients, 83,111 females (62.68%), 49,483 males (37.32%), mean age 64.2 years, and 1,068,464 non-KOA patients, 545,902 females (51.09%), 522,562 males (48.91%), mean age 51.00 years. The Deep-KOA achieved an overall AUROC, sensitivity, specificity, and precision of 0.97, 0.89, 0.93, and 0.80 respectively. The discriminative analysis of Deep-KOA showed important features from several diseases such as disorders of the eye and adnexa, acute respiratory infection, other metabolic and immunity disorders, and diseases of the musculoskeletal and connective tissue. Age and sex were not found as the most discriminative features, with AUROC of 0.9593 (â 0.76% loss) and 0.9644 (â 0.25% loss) respectively. Whereas medications including antacid, cough suppressant, and expectorants were identified as discriminative features.Conclusion: Deep-KOA was developed to predict the risk of KOA within one year earlier, which may provide clues for clinical decision support systems to target patients with high risk of KOA to get precision prevention program.Keywords: artificial intelligence, clinical decision support system, medical informatics application, precision medicine
- Published
- 2021
42. An Innovative Scoring System for Predicting Major Adverse Cardiac Events in Patients With Chest Pain Based on Machine Learning
- Author
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Chih-Wei Huang, Yu-Chuan Li, Wen-Ding Hsu, Woon-Man Kung, Yao-Chin Wang, I-Shiang Tzeng, Chu-Ya Huang, and Chieh-Chen Wu
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Scoring system ,emergency department ,General Computer Science ,non–ST-elevation myocardial infarction ,Feature selection ,Chest pain ,Machine learning ,computer.software_genre ,Troponin I ,medicine ,Cutoff ,General Materials Science ,Myocardial infarction ,major adverse cardiac events ,Artificial neural network ,business.industry ,General Engineering ,scoring system ,Emergency department ,medicine.disease ,ST-elevation myocardial infarction ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Artificial intelligence ,medicine.symptom ,business ,lcsh:TK1-9971 ,computer - Abstract
Chest pain is a common complaint in the emergency department, but this may prevent a diagnosis of major adverse cardiac events, a composite of all-cause mortality associated with cardiovascular-related illnesses. To determine potential predictors of major adverse cardiac events in Taiwan, a pilot study was performed, involving the data from 268 patients with major adverse cardiac events, which was by an artificial neural network method. Nine biomarkers were selected for identifying non-ST-elevation myocardial infarction from common chest pain patients. By using a machine learning-based feature selection technique, five biomarkers were chosen from a set of 37 candidate variables. A full and a reduced risk stratification model were built. The full model was based on the characteristics of both invasive (i.e., creatinine and troponin I) and non-invasive (i.e., age, coronary artery disease risk factors, and corrected QT interval) variables, and the reduced model was based only on non-invasive variable characteristics. The full model showed a sensitivity of 0.948 and a specificity of 0.546 when the cutoff was set at 2 points, with a missed major adverse cardiac events rate of 1.32%, a positive predictive value of 0.228, and a negative predictive value of 0.987. High performance was also obtained with the five major biomarkers in the predictor built by the machine learning algorithm. The full model had the highest performance, but the reduced model can be applied as a quick and reasonably performing diagnostic tool.
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- 2020
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43. Reduced risk of stroke following cholecystectomy: A nationwide population‐based study
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Chung Y. Hsu, Yung-Hsiang Yeh, Chia-Hung Kao, Cheng-Yu Wei, Cheng-Li Lin, Shu‐Hung Chuang, Kevin Wen-Kai Tsai, Hsu Chih Tai, Chien-Hua Chen, and Woon-Man Kung
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Risk ,medicine.medical_specialty ,medicine.medical_treatment ,Population ,Gallstones ,Cohort Studies ,Postoperative Complications ,Internal medicine ,medicine ,Humans ,Cholecystectomy ,Risk factor ,education ,Stroke ,Retrospective Studies ,education.field_of_study ,Hepatology ,business.industry ,Hazard ratio ,Gastroenterology ,Retrospective cohort study ,medicine.disease ,business ,Cohort study - Abstract
BACKGROUND AND AIM Gallstones and stroke are common diseases worldwide. The relationship between gallstones and stroke has been documented in the literature. In this work, to characterize the risk of stroke among gallstone patients with and without cholecystectomy, we investigated the effects of cholecystectomy in a nationwide population-based retrospective cohort study. METHODS Data were obtained from Taiwan's National Health Insurance Research Database. The study comprised 155 356 gallstone patients divided into two groups: those with and without cholecystectomy. RESULTS During the study period (2000-2012), 19 096 (17.8/1000 person-years) gallstone patients without cholecystectomy and 11 913 (10.6/1000 person-years) gallstone patients with cholecystectomy had a stroke. Following gallstone removal, the patients exhibited a significant decrease in the risk of overall stroke (hazard ratio [HR] = 0.60, 95% confidence interval [CI] = 0.59-0.61), ischemic stroke (HR = 0.59, 95% CI = 0.58-0.61), and hemorrhagic stroke (HR = 0.56, 95% CI = 0.53-0.59). Asymptomatic and symptomatic gallstone patients had lower overall stroke risk after cholecystectomy (HR = 0.64, 95% CI = 0.62-0.67 and HR = 0.57, 95% CI = 0.56-0.59) than did asymptomatic gallstone patients without cholecystectomy. CONCLUSIONS This population-based cohort study demonstrated that cholecystectomy is related to reduce the risk of overall stroke, ischemic stroke, and hemorrhagic stroke. Preventive measures for stroke may be considered for gallstone patients, particularly those presenting risk factor(s) for stroke.
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- 2019
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44. Anemia and the Risk of Cognitive Impairment: An Updated Systematic Review and Meta-Analysis
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Md. Mohaimenul Islam, Woon-Man Kung, Musa Touray, Yao-Chin Wang, Muh-Shi Lin, Chieh-Chen Wu, Sheng-Po Yuan, Chu-Ya Huang, and Suleman Atique
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medicine.medical_specialty ,Anemia ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Subgroup analysis ,Article ,03 medical and health sciences ,0302 clinical medicine ,iron deficiency ,Internal medicine ,Medicine ,Dementia ,030212 general & internal medicine ,cognitive impairment ,business.industry ,General Neuroscience ,medicine.disease ,anemia ,Clinical trial ,meta-analysis ,Systematic review ,Meta-analysis ,Relative risk ,Observational study ,business ,030217 neurology & neurosurgery ,Alzheimer’s ,RC321-571 ,dementia - Abstract
Background: Cognitive impairment is one of the most common, burdensome, and costly disorders in the elderly worldwide. The magnitude of the association between anemia and overall cognitive impairment (OCI) has not been established. Objective: We aimed to update and expand previous evidence of the association between anemia and the risk of OCI. Methods: We conducted an updated systematic review and meta-analysis. We searched electronic databases, including EMBASE, PubMed, and Web of Science for published observational studies and clinical trials between 1 January 1990 and 1 June 2020. We excluded articles that were in the form of a review, letter to editors, short reports, and studies with less than 50 participants. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. We estimated summary risk ratios (RRs) with random effects. Results: A total of 20 studies, involving 6558 OCI patients were included. Anemia was significantly associated with an increased risk of OCI (adjusted RR (aRR) 1.39 (95% CI, 1.25–1.55, p <, 0.001)). In subgroup analysis, anemia was also associated with an increased risk of all-cause dementia (adjusted RR (aRR), 1.39 (95% CI, 1.23–1.56, 0.001)), Alzheimer’s disease [aRR, 1.59 (95% CI, 1.18–2.13, p = 0.002)], and mild cognitive impairment (aRR, 1.36 (95% CI, 1.04–1.78, p = 0.02)). Conclusion: This updated meta-analysis shows that patients with anemia appear to have a nearly 1.39-fold risk of developing OCI than those without anemia. The magnitude of this risk underscores the importance of improving anemia patients’ health outcomes, particularly in elderly patients.
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- 2021
45. Deep Learning Classifier with Patient’s Metadata of Dermoscopic Images in Malignant Melanoma Detection
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I-Shiang Tzeng, Chieh-Chen Wu, Yao-Chin Wang, Woon-Man Kung, Chu-Ya Huang, Jack Yu-Chuan Li, Dina Nur Anggraini Ningrum, and Sheng-Po Yuan
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Computer science ,convolutional neural network ,Cloud computing ,Overfitting ,Convolutional neural network ,03 medical and health sciences ,0302 clinical medicine ,embedded artificial intelligence ,Classifier (linguistics) ,030212 general & internal medicine ,General Nursing ,Original Research ,Artificial neural network ,skin cancer ,business.industry ,030503 health policy & services ,Deep learning ,Journal of Multidisciplinary Healthcare ,Pattern recognition ,General Medicine ,Metadata ,Binary classification ,Artificial intelligence ,0305 other medical science ,business ,artificial neural network - Abstract
Dina Nur Anggraini Ningrum,1,2 Sheng-Po Yuan,1,3 Woon-Man Kung,4 Chieh-Chen Wu,4 I-Shiang Tzeng,4– 6 Chu-Ya Huang,7 Jack Yu-Chuan Li,1,8,9,* Yao-Chin Wang10,11,* 1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; 2Public Health Department, Universitas Negeri Semarang, Semarang City, Indonesia; 3Department of Otorhinolaryngology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; 4Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan; 5Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan; 6Department of Statistics, National Taipei University, Taipei, Taiwan; 7Taiwan College of Healthcare Executives, Taipei, Taiwan; 8Department Dermatology, Wan Fang Hospital, Taipei, Taiwan; 9Taipei Medical University Research Center of Cancer Translational Medicine, Taipei, Taiwan; 10Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan; 11Department of Emergency Medicine, Min-Sheng General Hospital, Taoyuan, Taiwan*These authors contributed equally to this workCorrespondence: Jack Yu-Chuan LiGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 15 F, No. 172-1, Sec 2, Kellung Road, Daan District, Taipei, 11031, TaiwanTel/Fax +886-2-2736-1661 Ext. 7600Email jack@tmu.edu.twYao-Chin WangDepartment of Emergency, Min-Sheng General Hospital, No. 168, ChingKuo Road, Taoyuan, 33044, TaiwanTel +886-3-317-9599 Ext. 8134Email vkwang8888@yahoo.com.twBackground: Incidence of skin cancer is one of the global burdens of malignancies that increase each year, with melanoma being the deadliest one. Imaging-based automated skin cancer detection still remains challenging owing to variability in the skin lesions and limited standard dataset availability. Recent research indicates the potential of deep convolutional neural networks (CNN) in predicting outcomes from simple as well as highly complicated images. However, its implementation requires high-class computational facility, that is not feasible in low resource and remote areas of health care. There is potential in combining image and patient’s metadata, but the study is still lacking.Objective: We want to develop malignant melanoma detection based on dermoscopic images and patient’s metadata using an artificial intelligence (AI) model that will work on low-resource devices.Methods: We used an open-access dermatology repository of International Skin Imaging Collaboration (ISIC) Archive dataset consist of 23,801 biopsy-proven dermoscopic images. We tested performance for binary classification malignant melanomas vs nonmalignant melanomas. From 1200 sample images, we split the data for training (72%), validation (18%), and testing (10%). We compared CNN with image data only (CNN model) vs CNN for image data combined with an artificial neural network (ANN) for patient’s metadata (CNN+ANN model).Results: The balanced accuracy for CNN+ANN model was higher (92.34%) than the CNN model (73.69%). Combination of the patient’s metadata using ANN prevents the overfitting that occurs in the CNN model using dermoscopic images only. This small size (24 MB) of this model made it possible to run on a medium class computer without the need of cloud computing, suitable for deployment on devices with limited resources.Conclusion: The CNN+ANN model can increase the accuracy of classification in malignant melanoma detection even with limited data and is promising for development as a screening device in remote and low resources health care.Keywords: skin cancer, convolutional neural network, artificial neural network, embedded artificial intelligence
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- 2021
46. Association between Anemia and Risk of Parkinson Disease
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Woon-Man Kung, Tahmina Nasrin Poly, Sheng-Po Yuan, Yao-Chin Wang, Suleman Atique, Chu-Ya Huang, Abel Po-Hao Huang, and Chieh-Chen Wu
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0301 basic medicine ,Male ,Risk ,medicine.medical_specialty ,Article Subject ,Anemia ,MEDLINE ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,business.industry ,Case-control study ,Parkinson Disease ,General Medicine ,medicine.disease ,030104 developmental biology ,Neuropsychology and Physiological Psychology ,Neurology ,Meta-analysis ,Relative risk ,Case-Control Studies ,Cohort ,Observational study ,Female ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Cohort study ,Research Article ,RC321-571 - Abstract
Background and Objective. People with anemia have higher rates of developing Parkinson disease (PD) than the general population. Previous epidemiological studies have invested the risk of PD in patients with anemia. However, the findings are still inconclusive. Therefore, we did a systematic review with meta-analysis to clarify the association between anemia and risk of PD. Methods. We systematically searched articles on electronic databases such as PubMed, Embase, Scopus, and Google Scholar between January 1, 2000 and July 30, 2020. Articles were independently evaluated by two authors. We included observational studies (case-control and cohort) and calculated the risk ratios (RRs) for associated with anemia and PD. Heterogeneity among the studies was assessed using the Q and I 2 statistic. We utilized the random-effect model to calculate the overall RR with 95% CI. Results. A total of 342 articles were identified in the initial searches, and 7 full-text articles were evaluated for eligibility. Three articles were further excluded for prespecified reasons including insufficient data and duplications, and 4 articles were included in our systematic review and meta-analysis. A random effect model meta-analysis of all 4 studies showed no increased risk of PD in patients with anemia ( N = 4 , R R adjusted = 1.17 (95% CI: 0.94-1.45, p = 0.15 ). However, heterogeneity among the studies was significant ( I 2 = 92.60 , p = < 0.0001 ). The pooled relative risk of PD in female patients with anemia was higher ( N = 3 , R R adjusted = 1.14 (95% CI: 0.83-1.57, p = 0.40 ) as compared to male patients with anemia ( N = 3 , R R adjusted = 1.09 (95% CI: 0.83-1.42, p = 0.51 ). Conclusion. This is the first meta-analysis that shows that anemia is associated with higher risk of PD when compared with patients without anemia. However, more studies are warranted to evaluate the risk of PD among patients with anemia.
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- 2021
47. Innovations, advances, and updates in neurosurgery
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Po-Cheng Lo and Woon-Man Kung
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Body of knowledge ,Population ageing ,medicine.medical_specialty ,Medical education ,Multidisciplinary approach ,medicine ,Behavioral pattern ,Neurosurgery ,Surgical interventions ,Pace - Abstract
Neuroscience plays an important role in the basic study to control the coordination of the human body, thinking, and behavioral patterns that keeps pace with time. It is a complex and multidisciplinary scientific body of knowledge related to the nervous system. There are different and overlapping aspects in this field, which are closely interconnected to several elementary professional subjects such as science, technology, engineering, and mathematics. The number of aging population is expected to rise abruptly in the future, such that more than one in six adults globally will be 65 years or older by the year 2050. Advancing age of the elderly would obviously correlate to a rise in the burden of neurological diseases. Neurosurgery comprises surgical interventions involved in the management of central and peripheral nervous system diseases. Rapid technical and technological advances in the neurosurgical field in the past decades have revolutionized better outcomes and prognoses for patients. The present paper discusses selected relevant innovations, advances, and updates in neurosurgery. Further theragnostic strategies and perspectives to treat victims with neurological deficits are also summarized. We hereby outline some noteworthy, major, plus recent innovations, advances, and updates in the field of neurosurgery.
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- 2021
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48. Simulating Expansion of the Intracranial Space to Accommodate Brain Swelling after Decompressive Craniectomy: Volumetric Quantification in a 3D CAD Skull Model with Contour Elevation
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Woon-Man Kung, Yao-Chin Wang, I-Shiang Tzeng, Yu-Te Chen, and Muh-Shi Lin
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Large skull ,medicine.medical_treatment ,Skull defect ,CAD ,Article ,lcsh:RC321-571 ,3D CAD skull model ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Quantitative assessment ,Brain swelling ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Mathematics ,decompressive craniectomy ,quantitative analysis ,business.industry ,numerical integration with the rectangle method ,General Neuroscience ,Elevation ,image processing ,Skull ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Decompressive craniectomy ,Nuclear medicine ,business ,030217 neurology & neurosurgery - Abstract
Background: Decompressive craniectomy (DC) can be used to augment intracranial space and halt brainstem compromise. However, a widely adopted recommendation for optimal surgical extent of the DC procedure is lacking. In the current study, we utilized three-dimensional (3D) computer-assisted design (CAD) skull models with defect contour elevation for quantitative assessment. Methods: DC was performed for 15 consecutive patients, and 3D CAD models of defective skulls with contour elevations (0–50 mm) were reconstructed using commercial software. Quantitative assessments were conducted in these CAD subjects to analyze the effects of volumetric augmentation when elevating the length of the contour and the skull defect size. The final positive results were mathematically verified using a computerized system for numerical integration with the rectangle method. Results: Defect areas of the skull CAD models ranged from 55.7–168.8 cm2, with a mean of 132.3 ± 29.7 cm2. As the contour was elevated outward for 6 mm or above, statistical significance was detected in the volume and the volume-increasing rate, when compared to the results obtained from the regular CAD model. The volume and the volume-increasing rate increased by 3.665 cm3, 0.285% (p <, 0.001) per 1 mm of contour elevation), and 0.034% (p <, 0.001) per 1 cm2 of increase of defect area, respectively. Moreover, a 1 mm elevation of the contour in Groups 2 (defect area 125–150 cm2) and 3 (defect area >, 150 cm2, as a proxy for an extremely large skull defect) was shown to augment the volume and the volume-increasing rate by 1.553 cm3, 0.101% (p <, 0.001) and 1.126 cm3, 0.072% (p <, 0.001), respectively, when compared to those in Group 1 (defect area <, 125 cm2). The volumetric augmentation achieved by contour elevation for an extremely large skull defect was smaller than that achieved for a large skull defect. Conclusions: The 3D CAD skull model contour elevation method can be effectively used to simulate the extent of a space-occupying swollen brain and to quantitatively assess the extent of brainstem protection in terms of volume augmentation and volume-increasing rate following DC. As the tangential diameter (representing the degree of DC) exceeded the plateau value, volumetric augmentation was attenuated. However, an increasing volumetric augmentation was detected before the plateau value was reached.
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- 2020
49. Remote Health Care Monitoring Based on the Internet Transmission System of a Patient's Essential Body Functions (Preprint)
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Hao-Chun Lu, Woon-Man Kung, and Shuo-Tsung Chen
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Data_CODINGANDINFORMATIONTHEORY - Abstract
BACKGROUND With Electrocardiogram (ECG) signals and Internet of things (IoT), we may have a remote observation for several clinical measurements, specifically pulse rate, intracranial pressure, respiration rate, and blood pressure, that indicate the state of a patient's essential body functions. Moreover, we can utilize ECG signals to analyze and identify various heart diseases from a distance, such as arrhythmias, myocardial damage etc. This study aims to propose an IoT-based transmission system for the state care of a patient's essential body functions. The system also protects personal privacy and reduces the carrying amount in ECG network transmission. First of all, we perform the proposed patients state steganography on the ECG signals. At the same time, we adopt the threshold-based compression to reduce the data amount of the ECG signals in patients information transmission. The recovery of the compressed ECG signal adopts cubic spline. In addition, the performance of the proposed steganography is enhanced by Particle Swarm Optimization (PSO). Experimental results verify the efficiency of the proposed method. OBJECTIVE In the proposed concept as shown in Fig. 3, original ECGs and patients confidential information are first combined by the proposed method (see Fig. 4 in detail) to obtain the hidden and compressed ECG. Next, the hidden and compressed ECGs are transferred to terminal equipment such as hospital server via wireless network. Finally, hospital server will extract the patients information and distribute it to different devices of doctors and nurses. METHODS This study proposes a time-domain algorithm to integrate threshold-based compression and PSO-based biomedical signal steganography. Because ECG has high requirements for accuracy, so we rewritten signal-to-noise ratio (SNR) and amplitude-quantization to performance index and constraint so that we obtain an optimization model to enhance ECG quality and robustness against attacks. In addition, the optimization model is solved by Particle Swarm Optimization (PSO). Accordingly, we perform amplitude-quantization steganography on each ECG signal to embed patient information. At the same time, we adopt the threshold-based compression technology to reduce the data amount of the embedded ECG signal. In addition, the hidden information can be extracted without the original ECG and the recovery of the compressed ECG signal adopts cubic spline. In experiments, we evaluate the appropriate threshold ε and embedding strength Q. The proposed method reduces the carrying amount of network transmission while preserving the original characteristics of ECG signals and protecting personal privacy. RESULTS Our method remains high quality for each hidden ECG signal or hidden and compressed ECG signal under sufficient hiding capacity 2048 bits no matter how the quantization size Q is increased. CONCLUSIONS The proposed method not only protect the security of the ECG transmission but also reduce the amount of ECG transmission. Moreover, the proposed method improves the drawback that the quality of each hidden ECG signal is greatly reduced as the quantization size Q is increased. In other words, our method remains high quality for each hidden ECG signal or hidden and compressed ECG signal no matter how the quantization size Q is increased. CLINICALTRIAL No trial registration.
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- 2020
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50. CT-Based Quantitative Analysis for Pathological Features Associated With Postoperative Recurrence and Potential Application Upon Artificial Intelligence: A Narrative Review With a Focus on Chronic Subdural Hematomas
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Muh-Shi Lin and Woon-Man Kung
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lcsh:Medical technology ,Artificial Intelligence in Molecular Imaging Clinics ,chronic subdural hematomas ,Biomedical Engineering ,Review Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Qualitative analysis ,Hematoma ,Vascularity ,Chronic subdural hematoma ,Artificial Intelligence ,Recurrence ,medicine ,Humans ,postoperative recurrence ,Radiology, Nuclear Medicine and imaging ,Subdural space ,Pathological ,lcsh:QH301-705.5 ,Postoperative Care ,computer-assisted quantitative method ,business.industry ,Condensed Matter Physics ,medicine.disease ,medicine.anatomical_structure ,lcsh:Biology (General) ,lcsh:R855-855.5 ,Hematoma, Subdural, Chronic ,Molecular Medicine ,Narrative review ,Artificial intelligence ,medicine.symptom ,Tomography, X-Ray Computed ,business ,030217 neurology & neurosurgery ,High recurrence rate ,Biotechnology - Abstract
Chronic subdural hematomas (CSDHs) frequently affect the elderly population. The postoperative recurrence rate of CSDHs is high, ranging from 3% to 20%. Both qualitative and quantitative analyses have been explored to investigate the mechanisms underlying postoperative recurrence. We surveyed the pathophysiology of CSDHs and analyzed the relative factors influencing postoperative recurrence. Here, we summarize various qualitative methods documented in the literature and present our unique computer-assisted quantitative method, published previously, to assess postoperative recurrence. Imaging features of CSDHs, based on qualitative analysis related to postoperative high recurrence rate, such as abundant vascularity, neomembrane formation, and patent subdural space, could be clearly observed using the proposed quantitative analysis methods in terms of mean hematoma density, brain re-expansion rate, hematoma volume, average distance of subdural space, and brain shifting. Finally, artificial intelligence (AI) device types and applications in current health care are briefly outlined. We conclude that the potential applications of AI techniques can be integrated to the proposed quantitative analysis method to accomplish speedy execution and accurate prediction for postoperative outcomes in the management of CSDHs.
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- 2020
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