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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 42703
Country/Territory China
Category Oncology
Manuscript Type Basic Study
Article Title Feasibility of hyperspectral analysis for discrimination of rabbit liver VX2 tumor
Manuscript Source Unsolicited Manuscript
All Author List Feng Duan, Jing Yuan, Xuan Liu, Li Cui, Yan-Hua Bai, Xiao-Hui Li, Huang-Rong Xu, Chen-Yang Liu and Wei-Xing Yu
Funding Agency and Grant Number
Corresponding Author Wei-Xing Yu, PhD, Professor, Key Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, No. 17 Xinxi Road, New Industrial Park, Xi’an Hi-Tech Industrial Development Zone, Xi’an 710119, Shaanxi Province, China. yuwx@opt.ac.cn
Key Words Hyperspectral analysis; VX2 tumor; Liver cancer; Diagnosis; Animal experiment
Core Tip Hepatocellular carcinoma is one of the most common malignant tumors worldwide. Currently, the most accurate diagnosis imaging modality for HCC is magnetic resonance imaging; however, it is still difficult to distinguish cirrhosis lesions. Thus, hyperspectral imaging might be a novel modality as an early/fast diagnosis. In this study, a rabbit liver VX2 tumor model was established. After laparotomy and under direct view, VX2 tumor tissue and normal liver tissue were subjected to hyperspectral analysis. The result of this study demonstrated the feasibility of hyperspectral analysis for discrimination of rabbit VX2 liver tumor.
Citation Duan F, Yuan J, Liu X, Cui L, Bai YH, Li XH, Xu HR, Liu CY, Yu WX. Feasibility of hyperspectral analysis for discrimination of rabbit liver VX2 tumor. World J Gastrointest Oncol 2019; 11(1): 1-8
Received
2018-10-07 03:14
Peer-Review Started
2018-10-07 12:13
To Make the First Decision
2018-10-29 02:28
Return for Revision
2018-10-31 07:26
Revised
2018-12-08 12:11
Second Decision
2018-12-12 10:08
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2018-12-13 02:25
Articles in Press
2018-12-13 02:25
Publication Fee Transferred
Edit the Manuscript by Language Editor
2018-12-18 03:43
Typeset the Manuscript
2019-01-14 08:41
ISSN 1948-5204 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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