ArticleMaterials (Basel, Switzerland)2019
Investigation of Fresh Gastric Normal and Cancer Tissues Using Terahertz Time-Domain Spectroscopy.
Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 28 citations in OpenAlex.
- Enhanced terahertz near-field nanoscopic imaging for label-free assessment of ovarian cancer cells: a preliminary study.Biomedical optics express · 2026Article
- The value of terahertz three-dimensional tomography for the differential diagnosis of tumor tissue and normal tissue in lung cancer nude mice.Frontiers in bioengineering and biotechnology · 2026Article
- Clinical and experimental study of a terahertz time-domain system for the determination of the pathological margins of laryngeal carcinoma.World journal of surgical oncology · 2022Article
- Differentiation of otitis media-causing bacteria and biofilmsFrontiers in cellular and infection microbiology · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
In recent times, terahertz (THz) technologies have been actively applied in many biomedical research work, including gastric cancer diagnosis. In order to provide an effective removal of tumor during surgery, it is necessary to clearly distinguish it from different membranes of the stomach. In this work, we reported an investigation of various normal and cancer fresh gastric tissues using terahertz time-domain spectroscopy in the reflection mode. Refractive index and absorption coefficient of moderately differentiated and poorly differentiated gastric adenocarcinomas, as well as both serosa and mucosa were obtained in the frequency range from 0.2 to 1 THz. All cancer tissues were distinguishable from normal ones. The influence of the morphology of the investigated tissues on the obtained optical properties is discussed. The obtained results demonstrated a potential of THz time-domain spectroscopy to discriminate a tumor from normal serous and mucous gastric membranes. Thus, this method might be applied to gastric cancer diagnosis.
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