Investigated geometrical characteristics and image density of left ventricle of multi-detector computed tomography in early coronary artery disease patients

Article type: Research Article

Authors: Lu, Nan-Han^{a; b} | Chen, Tai-Been^b | Liu, Kuo-Ying^{a; b; c} | Hsu, Shih-Yen^{b; c} | Twan, Wen-Hung^d | Ding, Hueisch-Jy^b | Hung, Chao-Ming^{e; f} | Lin, Li-Wei^g | Huang, Yung-Hui^{b; *}

Affiliations: [a] Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung City, Taiwan | [b] Department of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung City, Taiwan | [c] Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan | [d] Department of Life Science, National Taitung University, Taitung City, Taiwan | [e] Department of General Sugary, E-DA Hospital, I-Shou University, Kaohsiung City, Taiwan | [f] The School of Medicine, I-Shou University, Kaohsiung City, Taiwan | [g] The School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung City, Taiwan

Correspondence: [*] Corresponding author: Yung-Hui Huang, Ph.D, Department of Medical Imaging and Radiological Sciences, I-Shou University, No. 8, Yida Rd., Jiaosu Village, Yanchao District, Kaohsiung City, 82445, Taiwan. Tel.: +886 7 6151100, Ext. 7818; E-mail: yhhuang@isu.edu.tw.

Abstract: BACKGROUND: Coronary artery disease (CAD) remains the leading cause of death worldwide. Currently, cardiac multi-detector computed tomography (MDCT) is widely used to diagnose CAD. The purpose in this study is to identify informative and useful predictors from left ventricular (LV) in the early CAD patients using cardiac MDCT images. MATERIALS AND METHODS: Study groups comprised 42 subjects who underwent a screening health examination, including laboratory testing and cardiac angiography by 64-slice MDCT angiography. Two geometrical characteristics and one image density were defined as shape, size and stiffness on MDCT image. The t-test, logistic regression, and receiver operating characteristic curve were applied to assess and identify the significant predictors. The Kappa statistics was used to exam the agreements with physician’s judgments (i.e., Golden of True, GOT). RESULTS: The proposed three characteristics of LV MDCT images are important predictors and risk factors for the early CAD patients. These predictors present over 80% of AUC and higher odds ratio. The Kappa statistics was 0.68 for the combinations of shape and stiffness into logistic regression. CONCLUSIONS: The shape, size and stiffness of the left ventricular on MDCT can be used to be the effective indicators in the early CAD patients. Besides, the combinations of shape and stiffness into logistic regression could provide substantial agreement with physician’s judgments.

Keywords: MDCT, early CAD, geometrical characteristics, image density

DOI: 10.3233/XST-160545

Journal: Journal of X-Ray Science and Technology, vol. 24, no. 3, pp. 353-359, 2016