Results of Research on Identifying Patients with Colon Neoplasias with Gas Discharge Visualization Technique

Yakovleva, E. G. and Fedorov, E. D. and Korotkov, K. G. and Belonosov, S. S. (2021) Results of Research on Identifying Patients with Colon Neoplasias with Gas Discharge Visualization Technique. In: Research Trends and Challenges in Medical Science Vol. 9. B P International, pp. 16-27. ISBN 978-93-90768-38-7

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Abstract

Objective: Initial assessment of the potential of using the Gas Discharge Visualization (GDV) technique to identify patients with colon neoplasia.

Materials and Methods: The group of medical doctors used the Gas Discharge Visualization (GDV) camera to assess subjects with different epithelial lesions. A colonoscopy was performed on each of the 132 subjects, followed by a GDV scan. An endoscopic examination identified colon epithelial lesions 77 patients. The control group consisted of remaining 55 people without lesions. The age of the subjects ranged from 17 to 85 years (mean 64.6 ± 1.2). The study analyzed GDV images of each subject's finger and separate sectors corresponding to the organs in question.

Results: There were a significant number of differences between the control group and the group of patients with colon tumors. We examined the dynamics of the parameters as the level of tumor dysplasia (neoplasia) varied. The values of the following parameters: normalized luminescence area, internal noise, contour radius, and average luminescence intensity - decrease in the control group as compared to patients with cancerous polyps. The values of the following parameters: radius of the inscribed circle, contour line length, area of luminescence, contour line fractality, contour line entropy, form coefficients – increased by comparison.

Conclusion: This pilot study demonstrated a statistical difference between the GDV parameters of patients with colon tumors and the control group.

Item Type: Book Section
Subjects: Opene Prints > Medical Science
Depositing User: Managing Editor
Date Deposited: 04 Nov 2023 04:01
Last Modified: 04 Nov 2023 04:01
URI: http://geographical.go2journals.com/id/eprint/2891

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