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위식도 역류진단을 위한 24시간 식도산도검사 양성지표들과 Bernstein 검사의 의의
김윤년,강영우,김기식,정우진,박승국,윤영호,황재석,김권배,허규찬 대한소화기학회 1998 대한소화기학회지 Vol.31 No.2
Background/Aims: We carried out this study to adapt various positive parameters of 24 hour pHmetry for diagnosis of gastroesophageal reflux disease and to determine a correlation between Bernstein test and 24 hour pHmetry. Methods: Sixty-six patients who complained of non-cardiac chest pain underwent Bernstein test and 24 hour pHrnetry. We defined the positive parameters of 24 hour pHmetry as the time percentage of esophageal pH below 4, above 5.78% or 11%, DeMeester score ahove 14,7, symptom index, above 25% or 50%, symptom sensitivity index above 5%. We compared the results of Bernstein test with those of 24 hour pHmetry. Results: On esophageal 24 hour pHmetry, the number of the patients who showed the time percentage of esophageal pH below 4 above 5.78% was 9 (13.6%), above 11% was 4 (6.1%). DeMeester score above 14.7 was seen in 10 (15.2%). Symptom index above 25% was seen in 9 (13.6%), above 50% in 4 (6.1%). Symptom sensitivity index above 5% was observed in 5 (7.6%). Total positive rate was 24.2%-27.2%. On Bemstein test, positive rate was 50%. Ten to twelve patients (30.3%-36.4%) out of 33 patients who were positive for Bernstein test showed positive esophageal 24 hour pHmetry. Six patients out of 33 patients who were negative for Bernstein test showed positive esophageal 24 hour pHmetry. There was no conelation between 24 hour pHmetry and Bernstein test using a kappa index. Conclusions: The positive rate of 24 hour pHmetry for Korean people was lower than that of western people and there was no correlation between Bernstein test and 24 hour pHmetry, We think further investigation should be conducted to confirm the positive parameters of 24 hour pHmetry.
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Implementation of Chest X-ray Observation Report Entry System
김윤년,서석태,박희준,김민수,손창식,박형섭,전효찬,정치영 대한의료정보학회 2010 Healthcare Informatics Research Vol.16 No.4
Objectives: X-rays are widely used in medical examinations. In particular, chest X-rays are the most frequent imaging test. However, observations are usually recorded in a free-text format. Therefore, it is difficult to standardize the information provided to construct a database for the sharing of clinical data. Here, we describe a simple X-ray observation entry system that can interlock with an electronic medical record system. Methods: We investigated common diagnosis indices. Based on the indices, we have designed an entry system which consists of 5 parts: 1) patient lists, 2) image selection, 3) diagnosis result entry,4) image view, and 5) main menu. The X-ray observation results can be extracted in an Excel format. Results: The usefulness of the proposed system was assessed in a study using over 500 patients' chest X-ray images. The data was readily extracted in a format that allowed convenient assessment. Conclusions: We proposed the chest X-ray observation entry system. The proposed X-ray observation system, which can be linked with an electronic medical record system, allows easy extraction of standardized clinical information to construct a database. However, the proposed entry system is limited to chest X-rays and it is impossible to interpret the semantic information. Therefore, further research into domains using other interpretation methods is required.
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김윤년,서석태,이인희,손창식,박희준,Hyoung-Seob Park,Hyuck-Jun Yoon 대한의료정보학회 2010 Healthcare Informatics Research Vol.16 No.4
Objectives: Congenital muscular torticollis, a common disorder that refers to the shortening of the sternocleidomastoid in infants, is sensitive to correction through physical therapy when treated early. If physical therapy is unsuccessful, surgery is required. In this study, we developed a support vector regression model for congenital muscular torticollis to investigate the prognosis of the physical therapy treatent in infants. Methods: Fifty-nine infants with congenital muscular torticollis received physical therapy until the degree of neck tilt was less than 5o. After treatment, the mass diameter was reevaluated. Based on the data, a support vector regression model was applied to predict the prognoses. Results: 10-, 20-, and 50-fold cross-tabulation analyses for the proposed model were conducted based on support vector regression and conventional multi-regression method based on least squares. The proposed methodbased on support vector regression was robust and enabled the effective analysis of even a small amount of data containing outliers. Conclusions: The developed support vector regression model is an effective prognostic tool for infants with congenital muscular torticollis who receive physical therapy.
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