Detection of colorectal cancer in mice with terahertz
technology-determination of an optimal frequency
- Jian Ding,
- Yong Chen,
- Dan Li,
- Yaling Liu,
- Liwen Hu,
- Yuanlin Qi,
- Yi Huang,
- Zhenghao Zhang,
- Tingyan Chen,
- ChengDang Wang,
- Shuncong Zhong
Jian Ding
National Regional Medical Center
Corresponding Author:dingjian@fjmu.edu.cn
Author ProfileYi Huang
Fuzhou University School of Mechanical Engineering and Automation
Author ProfileZhenghao Zhang
Fuzhou University School of Mechanical Engineering and Automation
Author ProfileShuncong Zhong
Fuzhou University School of Mechanical Engineering and Automation
Author ProfileAbstract
Colorectal cancer is one of the most prevalent malignancies worldwide,
and long-term chronic colitis is considered to be an important factor in
the etiological study of colorectal cancer. As an emerging detection
technology, the non-invasive, non-ionizing, and fingerprint
spectroscopic features of terahertz technology have tremendous
application prospects in disease diagnosis. Therefore, this study aims
to explore the value of terahertz technology in colitis-related cancers
by constructing an inflammation-associated mouse colorectal cancer
model. In this paper, we found that the terahertz spectroscopy technique
can effectively distinguish colitis-associated cancer from normal
tissue, and for the first time, we searched that 1.8 THz may be the best
terahertz frequency for diagnosing colorectal cancer in mice, suggesting
that we can use the terahertz technique for rapid diagnosis of
colorectal cancer histopathology.26 May 2023Submitted to Journal of Biophotonics 26 May 2023Submission Checks Completed
26 May 2023Assigned to Editor
26 May 2023Review(s) Completed, Editorial Evaluation Pending
26 May 2023Reviewer(s) Assigned
05 Jul 2023Editorial Decision: Revise Major
19 Jul 20231st Revision Received
19 Jul 2023Submission Checks Completed
19 Jul 2023Assigned to Editor
19 Jul 2023Review(s) Completed, Editorial Evaluation Pending
19 Jul 2023Reviewer(s) Assigned
08 Aug 2023Editorial Decision: Accept