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Issue title: Recent Trends in Convergence-based Smart Healthcare Service
Guest editors: Sang-Yeob Ohv, Supratip Ghosew, Kyungyong Chungx, Joong-Kyung Ryuy and Jung-Soo Hanz
Article type: Research Article
Authors: Joo, Young-Cheola; c | Lim, Chung-Hwanb; * | Lee, Chun-Yongc | Jung, Hong-Ryangd
Affiliations: [a] Department of Health Care, Hanseo University, Chungcheongnam-do, Korea | [b] Department of Radiology Science, Hanseo University, Chungcheongnam-do, Korea | [c] Department of Diagnostic Radiology, Samsung Medical Center, Seoul, Korea | [d] Department of Radiology Science, Hanseo University, Chungcheongnam-do, Korea | [v] Department of Interactive Media, Gachon University, Seongnam, Korea | [w] Department of Computer Science and Engineering, University of Information Technology and Sciences, Dhaka, Bangladesh | [x] Department of Computer Information Engineering, Sangji University, Wonju, Korea | [y] Department of Computer Software, Daelim University, Gyeonggi-do, Korea | [z] Division of Information and Communication, Baekseok University, Seoul, Korea
Correspondence: [*] Corresponding author: Chung-Hwan Lim, Hanseo University, Chungcheongnam-do, Korea. E-mail: LCH116@hanseo.ac.kr.
Abstract: This suggests indicators to be considered in the protocol for setting up equipment and minimizing patient doses by identifying the effective dose and correlations of each equipment company according to a patient's body characteristics in liver CT. The study was conducted with 445 patients who went to the hospital and received liver CT at the diagnostic radiology department of S medical center from 2010 January to June. As the statistical methods, t-test, one-way ANOVA, and Pearson's correlation analysis were used. The study results show that as height, weight, and BMI increased, the effective dose increased with all equipment vendors. Correlations between a patient's body characteristics and the effective dose were shown to be positive with all equipment vendors in regard to weight, BMI, and height, in order.
Keywords: Liver CT, Body Mass Index (BMI), effective dose, correlation
DOI: 10.3233/THC-140797
Journal: Technology and Health Care, vol. 22, no. 3, pp. 403-408, 2014
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