Qualitative and quantitative detection of liver injury with terahertz time-domain spectroscopy

Yuqi Cao; Pingjie Huang; Jiani Chen; Weiting Ge; Dibo Hou; Guangxin Zhang

doi:10.1364/BOE.381660

Qualitative and quantitative detection of liver injury with terahertz time-domain spectroscopy

Biomed Opt Express. 2020 Jan 21;11(2):982-993. doi: 10.1364/BOE.381660. eCollection 2020 Feb 1.

Authors

Yuqi Cao¹, Pingjie Huang^{1

2}, Jiani Chen³, Weiting Ge³, Dibo Hou¹, Guangxin Zhang^{1

4}

Affiliations

¹ State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.
² huangpingjie@zju.edu.cn.
³ Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China.
⁴ gxzhang@zju.edu.cn.

Abstract

Terahertz technology has been widely used as a nondestructive and effective detection method. Herein, terahertz time-domain spectroscopy was used to detect drug-induced liver injury in mice. Firstly, the boxplots were used to detect abnormal data. Then the maximal information coefficient method was used to search for the features strongly correlated with the degree of injury. After that, the liver injury model was built using the random forests method in machine learning. The results show that this method can effectively identify the degree of liver injury and thus provide an auxiliary diagnostic method for detecting minor liver injury.