6 results on '"Kyung SG"'
Search Results
2. A cross-sectional study of colic and rate of return to racing in Thoroughbreds at Seoul Racecourse in Korea between 2010 and 2020.
- Author
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Ryu SH, Sohn Y, Forbes E, Jeon HS, An SJ, Kim BS, Kyung SG, and Lee I
- Subjects
- Animals, Horses, Male, Cross-Sectional Studies, Seoul, Incidence, Retrospective Studies, Colic epidemiology, Colic surgery, Colic veterinary, Horse Diseases epidemiology, Horse Diseases surgery
- Abstract
Background: The incidence of colic and the outcomes of colic surgery have not been surveyed in racetracks in Korea., Objectives: This study examined the incidence, mortality, and case fatality of colic and investigated the effects of age and sex after an exploratory celiotomy on the long-term survival rate (return to racing), subsequent racing performance, and career longevity., Methods: The incidence, mortality, and case fatalities of colic were examined over an 11-year period. The records of 40 horses that had undergone a celiotomy, after participating in at least one race and 75 race-matched control horses were analyzed. The racing performance and career length of the horses that returned to racing post-surgery were compared with a control group., Results: The annual incidence, fatality rate of colic, and annual mortality rate at Seoul Racecourse were 6.5, 2.8 per 100 horse-years, and 0.2 deaths cases per 100 horse-years, respectively. Of the 40 horses that underwent colic surgery, 26 (65%) returned to racing. The likelihood of returning to racing decreased with increasing age of the horses, and geldings had a lower probability of returning. While the performance in the five preoperative races between the two groups was not significantly different, a significant decrease in racing performance was observed after the surgery date ( p < 0.01). Horses that underwent colic surgery did not show a significant decrease in career length., Conclusions: Surgical treatment for colic at the age of three and four years had a negative impact on the racing performance. On the other hand, there was no significant difference in career longevity between the two groups., Competing Interests: The authors declare no conflicts of interest., (© 2023 The Korean Society of Veterinary Science.)
- Published
- 2023
- Full Text
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3. Deep Learning-based Detection of Solid and Cystic Pancreatic Neoplasms at Contrast-enhanced CT.
- Author
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Park HJ, Shin K, You MW, Kyung SG, Kim SY, Park SH, Byun JH, Kim N, and Kim HJ
- Subjects
- Male, Humans, Middle Aged, Retrospective Studies, Tomography, X-Ray Computed methods, Pancreatic Cyst, Deep Learning, Pancreatic Neoplasms surgery
- Abstract
Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging. Purpose To develop and validate a DL-based approach for automatic identification of patients with various solid and cystic pancreatic neoplasms at abdominal CT and compare its diagnostic performance with that of radiologists. Materials and Methods In this retrospective study, a three-dimensional nnU-Net-based DL model was trained using the CT data of patients who underwent resection for pancreatic lesions between January 2014 and March 2015 and a subset of patients without pancreatic abnormality who underwent CT in 2014. Performance of the DL-based approach to identify patients with pancreatic lesions was evaluated in a temporally independent cohort (test set 1) and a temporally and spatially independent cohort (test set 2) and was compared with that of two board-certified radiologists. Performance was assessed using receiver operating characteristic analysis. Results The study included 852 patients in the training set (median age, 60 years [range, 19-85 years]; 462 men), 603 patients in test set 1 (median age, 58 years [range, 18-82 years]; 376 men), and 589 patients in test set 2 (median age, 63 years [range, 18-99 years]; 343 men). In test set 1, the DL-based approach had an area under the receiver operating characteristic curve (AUC) of 0.91 (95% CI: 0.89, 0.94) and showed slightly worse performance in test set 2 (AUC, 0.87 [95% CI: 0.84, 0.89]). The DL-based approach showed high sensitivity in identifying patients with solid lesions of any size (98%-100%) or cystic lesions measuring 1.0 cm or larger (92%-93%), which was comparable with the radiologists (95%-100% for solid lesions [ P = .51 to P > .99]; 93%-98% for cystic lesions ≥1.0 cm [ P = .38 to P > .99]). Conclusion The deep learning-based approach demonstrated high performance in identifying patients with various solid and cystic pancreatic lesions at CT. © RSNA, 2022 Online supplemental material is available for this article.
- Published
- 2023
- Full Text
- View/download PDF
4. Assessment of the accuracy and precision of the i-Smart 30 VET Electrolyte Analyzer in dogs, cats, cattle and pigs.
- Author
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Kim HJ, Lee HR, Park YS, Kyung SG, and Do SH
- Subjects
- Animals, Blood Chemical Analysis instrumentation, Chlorides blood, Female, Male, Point-of-Care Systems, Potassium blood, Reproducibility of Results, Sodium blood, Blood Chemical Analysis veterinary, Cats physiology, Cattle physiology, Dogs physiology, Electrolytes blood, Swine physiology
- Abstract
Background: Performance evaluation of point-of-care (POC) electrolyte analyzers is essential for determining their precision and accuracy in clinical practice., Objective: The purpose of this study was to validate the i-Smart 30 VET Electrolyte Analyzer for canine, feline, bovine, and porcine samples in comparison with the ion-selective electrolyte analyzer Roche 9180 electrolyte analyzer., Methods: A total of 400 heparinized whole blood samples were collected and analyzed by both instruments for sodium, potassium, and chloride concentrations. Within-run, between-day, and total imprecision were evaluated. Statistical analyses included tests for correlation, regression, bias, and total error., Results: The coefficients of variation (CV) of both within-run and between-day imprecisions in the i-Smart 30 VET ranged from 0.4-1.6%. In addition, total CV (0.3-1.7%) and total error (0.7-3.7%) of the i-Smart 30 VET were acceptable according to the ASVCP guidelines (< 5%). The correlation between the i-Smart 30 VET and the Roche 9180 was excellent (r > .98). There was no proportional error according to the regression (slope ranges 0.92-1.00, 95% CI includes 1.00), but a constant error was detected for sodium concentration in dogs (interval = 0.5), cattle (interval = 3.0), and pigs (interval = 4.0), and for chloride concentration in cats (interval = 1.0). Most of the bias was within 95% CI, and the total error range (0.8-3.5%) was acceptable according to ASVCP guidelines., Conclusion: The i-Smart 30 VET Electrolyte Analyzer provides precise and accurate measurements of sodium, potassium, and chloride concentrations in whole blood samples from dogs, cats, cattle, and pigs., (© 2015 American Society for Veterinary Clinical Pathology.)
- Published
- 2015
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- View/download PDF
5. Molecular detection and genotyping of Japanese encephalitis virus in mosquitoes during a 2010 outbreak in the Republic of Korea.
- Author
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Seo HJ, Kim HC, Klein TA, Ramey AM, Lee JH, Kyung SG, Park JY, Cho YS, Cho IS, and Yeh JY
- Subjects
- Amino Acid Sequence, Animals, Culex classification, Culex physiology, Encephalitis Virus, Japanese classification, Encephalitis Virus, Japanese isolation & purification, Encephalitis, Japanese virology, Genotype, Genotyping Techniques, Humans, Immunologic Surveillance, Insect Vectors classification, Insect Vectors physiology, Likelihood Functions, Molecular Sequence Data, Phylogeny, Republic of Korea epidemiology, Seasons, Viral Envelope Proteins classification, Viral Envelope Proteins isolation & purification, Culex virology, Disease Outbreaks, Encephalitis Virus, Japanese genetics, Encephalitis, Japanese epidemiology, Insect Vectors virology, Viral Envelope Proteins genetics
- Abstract
Japanese encephalitis virus (JEV), a mosquito-borne zoonotic pathogen, is one of the major causes of viral encephalitis. To reduce the impact of Japanese encephalitis among children in the Republic of Korea (ROK), the government established a mandatory vaccination program in 1967. Through the efforts of this program only 0-7 (mean 2.1) cases of Japanese encephalitis were reported annually in the ROK during the period of 1984-2009. However, in 2010 there was an outbreak of 26 confirmed cases of Japanese encephalitis, including 7 deaths. This represented a >12-fold increase in the number of confirmed cases of Japanese encephalitis in the ROK as compared to the mean number reported over the last 26 years and a 3.7-fold increase over the highest annual number of cases during this same period (7 cases). Surveillance of adult mosquitoes was conducted during the 2010 outbreak of Japanese encephalitis in the ROK. A total of 6,328 culicine mosquitoes belonging to 12 species from 5 genera were collected at 6 survey sites from June through October 2010 and assayed by reverse-transcription polymerase chain reaction (RT-PCR) for the presence of JEV. A total of 34/371 pooled samples tested positive for JEV (29/121 Culex tritaeniorhynchus, 4/64 Cx. pipiens, and 1/26 Cx. bitaeniorhynchus) as confirmed by sequencing of the pre-membrane and envelope protein coding genes. The maximum likelihood estimates of JEV positive individuals per 1,000 culicine vectors for Cx. tritaeniorhynchus, Cx. pipiens, and Cx. bitaeniorhynchus were 11.8, 5.6, and 2.8, respectively. Sequences of the JEV pre-membrane and envelope protein coding genes amplified from the culicine mosquitoes by RT-PCR were compared with those of JEV genotypes I-V. Phylogenetic analyses support the detection of a single genotype (I) among samples collected from the ROK in 2010.
- Published
- 2013
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6. A diagnostic algorithm to serologically differentiate West Nile virus from Japanese encephalitis virus infections and its validation in field surveillance of poultry and horses.
- Author
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Yeh JY, Lee JH, Park JY, Seo HJ, Moon JS, Cho IS, Kim HP, Yang YJ, Ahn KM, Kyung SG, Choi IS, and Lee JB
- Subjects
- Algorithms, Animals, Encephalitis, Japanese diagnosis, Encephalitis, Japanese virology, Horse Diseases diagnosis, Horses, Population Surveillance, Poultry, Poultry Diseases diagnosis, Rabbits, Republic of Korea, Sensitivity and Specificity, Serologic Tests veterinary, West Nile Fever diagnosis, West Nile Fever virology, Encephalitis Virus, Japanese, Encephalitis, Japanese veterinary, Horse Diseases virology, Poultry Diseases virology, West Nile Fever veterinary, West Nile virus
- Abstract
The detection of West Nile virus (WNV) in areas endemic for Japanese encephalitis virus (JEV) is complicated by the extensive serological cross-reactivity between the two viruses. A testing algorithm was developed and employed for the detection of anti-WNV antibody in areas endemic for JEV. Using this differentiation algorithm, a serological survey of poultry (2004 through 2009) and horses (2007 through 2009) was performed. Among 2681 poultry sera, 125 samples were interpreted as being positive for antibodies against JEV, and 14 were suspected to be positive for antibodies against undetermined flaviviruses other than WNV and JEV. Of the 2601 horse sera tested, a total of 1914 (73.6%) were positive to the initial screening test. Of these positive sera, 132 sera (5.1%) had been collected from horses that had been imported from the United States, where WNV is endemic. These horses had WNV vaccination records, and no significant pattern of increasing titer was observed in paired sera tests. Of the remaining 1782 positive sera 1468 sera (56.4%) were also found to contain anti-JEV antibodies, and were interpreted to be JEV-specific antibodies by the differentiation algorithm developed in this study. The remaining 314 horses (12.1%) for which a fourfold difference in neutralizing antibody titer could not be demonstrated, were determined to contain an antibody against an unknown (unidentified or undetermined) flavivirus. No evidence of WNV infections were found during the period of this study.
- Published
- 2012
- Full Text
- View/download PDF
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