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Detection of colorectal cancer in mice with terahertz technology-determination of an optimal frequency
  • +8
  • 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

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Yong Chen
National Regional Medical Center
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Dan Li
Fujian Medical University Union Hospital
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Yaling Liu
National Regional Medical Center
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Liwen Hu
Fujian Medical University
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Yuanlin Qi
Fujian Medical University
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Yi Huang
Fuzhou University School of Mechanical Engineering and Automation
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Zhenghao Zhang
Fuzhou University School of Mechanical Engineering and Automation
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Tingyan Chen
National Regional Medical Center
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ChengDang Wang
National Regional Medical Center
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Shuncong Zhong
Fuzhou University School of Mechanical Engineering and Automation
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Abstract

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