University of Oulu

A. Goryachuk, A. Simonova, M. Khodzitsky, M. Borovkova and A. Khamid, "Gastrointestinal cancer diagnostics by terahertz time domain spectroscopy," 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rochester, MN, 2017, pp. 134-137. doi: 10.1109/MeMeA.2017.7985863

Gastrointestinal cancer diagnostics by terahertz time domain spectroscopy

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Author: Goryachuk, Anna1; Simonova, Anna1; Khodzitsky, Mikhail1;
Organizations: 1International laboratory “Radiation medicine”, ITMO University, Saint Petersburg, Russia
2Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland
3Pavlov First Saint Petersburg State Medical University, Russia
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-04-03


Samples of fresh excised tissues obtained from patients who had undergone gastric cancer have been investigated. Samples consisted of cancer zone, normal zone and pathologically changed zone. Their optical properties and spectral features were investigated by terahertz time-domain spectroscopy (THz-TDS) in reflection mode. It was found that waveforms of reflected signals from normal and cancer tissues and their optical properties were well distinguished, so it can be concluded that it is possible to discriminate gastric cancer tissue from normal by using THz-TDS.

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ISBN: 978-1-5090-2984-6
ISBN Print: 978-1-5090-2985-3
Pages: 134 - 137
Article number: 7985863
DOI: 10.1109/MeMeA.2017.7985863
Host publication: 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Conference: IEEE International Symposium on Medical Measurements and Applications
Type of Publication: A4 Article in conference proceedings
Field of Science: 114 Physical sciences
217 Medical engineering
Funding: Government of Russian Federation grant No 074-UOJ, Marie Sklodowska-Curie grant agreement No 713606.
EU Grant Number: (713606) I4FUTURE - Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations
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