In vivo Detection of the Margin of Simulated Melanoma Based on a Highly Integrated and Intelligent Fiber Optic Spectrometer

LI Teng, LU Zhaorong, LI Zhi, QIU Ting, LAN Yintao, CHEN Tianbin, XIANG Xiang, FU Hongbo, ZHANG Jian

Acta Laser Biology Sinica ›› 2020, Vol. 29 ›› Issue (6) : 506-512.

PDF(5335 KB)
PDF(5335 KB)
Acta Laser Biology Sinica ›› 2020, Vol. 29 ›› Issue (6) : 506-512.

In vivo Detection of the Margin of Simulated Melanoma Based on a Highly Integrated and Intelligent Fiber Optic Spectrometer

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Abstract

Abstract: In order to explore an intelligent, non-destructive method for detecting the boundary of melanoma. In this study, a fiber optic spectrometer (FOS) system combined an integrated structure with an automatic software was developed and employed for distinguishing the skin pigmentation. After collecting scattering spectrum from sample, a correlation test will be performed with standard spectrum. The system will automatically give a judgment based on the correlation coefficient. The feasibility of the FOS system for rapid and intelligent detecting the pigmentation was first tested by an ex vivo experiment. A tricolor agar phantom stained by red, green and blue inks could be identified by the FOS system with 96% accuracy. Furthermore, a melanoma mouse model induced by subcutaneous injection of ink was examined by the FOS system in vivo. There were significant differences in spectrum between the ink-injection region and the normal region. Comparison with the standard spectrum of injected ink, the correlation coefficient of the ink injection area was 0.83±0.07, while the normal tissue was 0.18±0.05. The boundary of the ink pigmentation area in the skin could be clearly identified from the correlation coefficient map. Both the ex vivo and in vivo experiment demonstrated the FOS system could identify pigmentation with high sensitivity and specificity, and indicated its great potential to be used in the clinical diagnosis of melanoma.
Key words: fiber optic spectrometer; in vivo; melanoma; margin detecting
CLC number: R-33      Document code: A      DOI: 10.3969/j.issn.1007-7146.2020.06.005

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LI Teng, LU Zhaorong, LI Zhi, QIU Ting, LAN Yintao, CHEN Tianbin, XIANG Xiang, FU Hongbo, ZHANG Jian. In vivo Detection of the Margin of Simulated Melanoma Based on a Highly Integrated and Intelligent Fiber Optic Spectrometer[J]. Acta Laser Biology Sinica. 2020, 29(6): 506-512
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