Optimal frequency determination for terahertz technology-based detection of colitis-related cancer in mice.
absorption coefficient spectroscopy
colitis-associated cancer
colorectal cancer in mice
terahertz spectroscopy
terahertz transmission time-domain spectroscopy
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
09 Aug 2023
09 Aug 2023
Historique:
revised:
18
07
2023
received:
26
05
2023
accepted:
08
08
2023
pubmed:
9
8
2023
medline:
9
8
2023
entrez:
9
8
2023
Statut:
aheadofprint
Résumé
Colorectal cancer is a prevalent malignancy globally, often linked to chronic colitis. Terahertz technology, with its noninvasive and fingerprint spectroscopic properties, holds promise in disease diagnosis. This study aimed to explore terahertz technology's application in colitis-associated cancer using a mouse model. Mouse colorectal tissues were transformed into paraffin-embedded blocks for histopathological analysis using HE staining. Terahertz transmission spectroscopy was performed on the tissue blocks. By comparing terahertz absorption differences, specific frequency bands were identified as optimal for distinguishing cancerous and normal tissues. The study revealed that terahertz spectroscopy effectively differentiates colitis-related cancers from normal tissues. Remarkably, 1.8 THz emerged as a potential optimal frequency for diagnosing colorectal cancer in mice. This suggests the potential for rapid histopathological diagnosis of colorectal cancer using terahertz technology.
Identifiants
pubmed: 37556310
doi: 10.1002/jbio.202300193
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202300193Subventions
Organisme : the Quanzhou Science Project of Production, Study, and Investigation
ID : WTTJJH-DJ2021
Organisme : the Fujian Provincial Health Technology Project
ID : 2021CXB008
Organisme : the Platform and Industry-University Collaboration Projects of Quanzhou, Fujian Province
ID : 2020N089s
Organisme : Joint Funds for the Innovation of Science and Technology, Fujian Province
ID : 2020Y9117
Organisme : the Fujian Medical University Education and Teaching Reform Research Project
ID : J200050
Informations de copyright
© 2023 Wiley-VCH GmbH.
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