Caleb program 알고리즘을 이용한 지방간 측정의 정확도 향상과 시각측정 제안
A Suggestion to Improve Accuracy in Measuring Fatty Liver and to Visualize the measurement Using Caleb Program Algorithm
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Purpose: This study intended to propose an expert system for diagnosing fatty liver. Methods: 20 image samples taken from four ultrasonic equipments in Seoul·Incheon Medical Examination Center between Jan. 4, 2016 and Oct. 15, 2016, were selected as the objects of the study. For each image sample, the interested area of hepatic parenchyma in 2nd zone of right subcostal scans were measured three times. The regions of hepatic parenchyma and renal parenchyma in right subcostal longitudinal scanning were measured in the same way in which, the digitized RGB average image from B-mode through measuring with Caleb program algorithm was analyzed. Result: The analyzed result showed that in multiple logistic regression analysis(p<0.05), the average brightness ratio of hepatic and renal parenchyma’s echo was 4.25 times higher in mild, 6.05 times higher in moderate, and 7.67 times higher in severe degree than the one of normality. It indicates a meaningful value that shows more fatty liver results in greater gap between the brightness ratios of hepatic and renal parenchyma. Conclusions: Visual analogue fatty liver scale is expected to serve as a supplementary indicator to objectively diagnose fatty liver.
목차
Abstract Ⅰ. 서론 Ⅱ. 대상 및 방법 1. 대상 2. 연구방법 3. 통계적 분석 방법 Ⅲ. 결과 1. 지방간의 판독결과와 측정부위 간의 상관분석 2. 지방간별 다중로지스틱 회귀분석 Ⅳ. 고찰 Ⅴ. 결론 참고문헌