1.A Comparative Analysis of Stereotactic Evacuation & Conservative Treatment in Hypertensive Putaminal Hemorrhage.
Baek Heoyun LEE ; Sung Chul HUH ; Kung Sik YOON ; Min Suk OH
Journal of Korean Neurosurgical Society 1995;24(2):158-164
We have analysed 144 patients with hypertensive putaminal hemorrhage, admitting from January 1992 to December 1993. Surgical treated group with Komai's stereotactic system was 71 patients and medical treated group was 73 patients. The results were as follows: 1) The patients with ventricular rupture were 36 cases(25%). According to the degree of ventricular rupture, the mortality was increased and the good outcome was decreased(P<0.01). 2) The prognosis was evaluated in favorable condition(alert and drowsy) and unfavorable condition(stuporous, semicomatose, comatose). In unfavorable condition, the mortality of surgical patients was lower than that of non-surgical patients(P<0.01). 3) Surgical patients with smaller hematoma(< or = 40ml) showed btter outcome than non-surgical patients:The statistical difference was not significant. But in larger hematoma(>40ml), the outcome in both treated group was similar. 4) According to CT classification, in class II(extending to anterior limb of internal capsule), good outcome of surgical group was better than that of non-surgical group. In class V(extending th thalamus or subthalamus), the mortality in surgical group was lower than that of non-surgical group(P<0.05) .
Classification
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Extremities
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Humans
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Mortality
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Prognosis
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Putaminal Hemorrhage*
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Rupture
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Thalamus
2.Heterotopic Ossification in Abdominal Incision: A Case Report.
Yoon Sik YOO ; Kung Sook NAM ; Im Kyung HWANG ; Heung Chul KIM
Journal of the Korean Radiological Society 2001;45(2):191-193
Heterotopic ossification in abdominal incision is a rare post-surgical sequala and a subtype of myositis ossificans traumatica. Recognition of this rare condition is important because it may be misinterpreted as a retained foreign body or incisional neoplastic recurrence. We report a case involving a 59-year-old man who presented with a palpable epigastric mass and pronounced fatigability.
Foreign Bodies
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Humans
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Middle Aged
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Myositis
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Myositis Ossificans
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Ossification, Heterotopic*
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Recurrence
3.Utilizing Artificial Neural Networks for Establishing Hearing-Loss Predicting Models Based on a Longitudinal Dataset and Their Implications for Managing the Hearing Conservation Program
Thanawat KHAJONKLIN ; Yih-Min SUN ; Yue-Liang Leon GUO ; Hsin-I HSU ; Chung Sik YOON ; Cheng-Yu LIN ; Perng-Jy TSAI
Safety and Health at Work 2024;15(2):220-227
Background:
Though the artificial neural network (ANN) technique has been used to predict noise-induced hearing loss (NIHL), the established prediction models have primarily relied on cross-sectional datasets, and hence, they may not comprehensively capture the chronic nature of NIHL as a disease linked to long-term noise exposure among workers.
Methods:
A comprehensive dataset was utilized, encompassing eight-year longitudinal personal hearing threshold levels (HTLs) as well as information on seven personal variables and two environmental variables to establish NIHL predicting models through the ANN technique. Three subdatasets were extracted from the afirementioned comprehensive dataset to assess the advantages of the present study in NIHL predictions.
Results:
The dataset was gathered from 170 workers employed in a steel-making industry, with a median cumulative noise exposure and HTL of 88.40 dBA-year and 19.58 dB, respectively. Utilizing the longitudinal dataset demonstrated superior prediction capabilities compared to cross-sectional datasets. Incorporating the more comprehensive dataset led to improved NIHL predictions, particularly when considering variables such as noise pattern and use of personal protective equipment. Despite fluctuations observed in the measured HTLs, the ANN predicting models consistently revealed a discernible trend.
Conclusions
A consistent correlation was observed between the measured HTLs and the results obtained from the predicting models. However, it is essential to exercise caution when utilizing the model-predicted NIHLs for individual workers due to inherent personal fluctuations in HTLs. Nonetheless, these ANN models can serve as a valuable reference for the industry in effectively managing its hearing conservation program.