Details
| Original language | English |
|---|---|
| Article number | e202400050 |
| Number of pages | 11 |
| Journal | Journal of biophotonics |
| Volume | 17 |
| Issue number | 8 |
| Publication status | Published - 18 Aug 2024 |
Abstract
Cutaneous melanoma is the most lethal skin cancer and noninvasively distinguishing it from benign tumor is a major challenge. Raman spectroscopic measurements were conducted on 65 suspected melanocytic lesions and surrounding healthy skin from 47 patients. Compared to the spectra of healthy skin, spectra of melanocytic lesions exhibited lower intensities in carotenoid bands and higher intensities in lipid and melanin bands, suggesting similar variations in the content of these components. Distinct variations were observed among the autofluorescence intensities of healthy skin, benign nevi and malignant melanoma. By incorporating autofluorescence information, the classification accuracy of the support vector machine for spectra of healthy skin, nevi, and melanoma reached 90.2%, surpassing the 87.9% accuracy achieved without autofluorescence, with this difference being statistically significant. These findings indicate the diagnostic value of autofluorescence intensity, which reflect differences in fluorophore content, chemical composition, and structure among healthy skin, nevi, and melanoma.
Keywords
- fluorescence, Raman spectroscopy, skin cancer detection, suspected melanocytic lesion
ASJC Scopus subject areas
- Chemistry(all)
- Materials Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Engineering(all)
- Physics and Astronomy(all)
Sustainable Development Goals
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In: Journal of biophotonics, Vol. 17, No. 8, e202400050, 18.08.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - In vivo Raman spectroscopic and fluorescence study of suspected melanocytic lesions and surrounding healthy skin
AU - Wu, Di
AU - Fedorov Kukk, Anatoly
AU - Panzer, Rüdiger
AU - Emmert, Steffen
AU - Roth, Bernhard
N1 - Publisher Copyright: © 2024 The Author(s). Journal of Biophotonics published by Wiley-VCH GmbH.
PY - 2024/8/18
Y1 - 2024/8/18
N2 - Cutaneous melanoma is the most lethal skin cancer and noninvasively distinguishing it from benign tumor is a major challenge. Raman spectroscopic measurements were conducted on 65 suspected melanocytic lesions and surrounding healthy skin from 47 patients. Compared to the spectra of healthy skin, spectra of melanocytic lesions exhibited lower intensities in carotenoid bands and higher intensities in lipid and melanin bands, suggesting similar variations in the content of these components. Distinct variations were observed among the autofluorescence intensities of healthy skin, benign nevi and malignant melanoma. By incorporating autofluorescence information, the classification accuracy of the support vector machine for spectra of healthy skin, nevi, and melanoma reached 90.2%, surpassing the 87.9% accuracy achieved without autofluorescence, with this difference being statistically significant. These findings indicate the diagnostic value of autofluorescence intensity, which reflect differences in fluorophore content, chemical composition, and structure among healthy skin, nevi, and melanoma.
AB - Cutaneous melanoma is the most lethal skin cancer and noninvasively distinguishing it from benign tumor is a major challenge. Raman spectroscopic measurements were conducted on 65 suspected melanocytic lesions and surrounding healthy skin from 47 patients. Compared to the spectra of healthy skin, spectra of melanocytic lesions exhibited lower intensities in carotenoid bands and higher intensities in lipid and melanin bands, suggesting similar variations in the content of these components. Distinct variations were observed among the autofluorescence intensities of healthy skin, benign nevi and malignant melanoma. By incorporating autofluorescence information, the classification accuracy of the support vector machine for spectra of healthy skin, nevi, and melanoma reached 90.2%, surpassing the 87.9% accuracy achieved without autofluorescence, with this difference being statistically significant. These findings indicate the diagnostic value of autofluorescence intensity, which reflect differences in fluorophore content, chemical composition, and structure among healthy skin, nevi, and melanoma.
KW - fluorescence
KW - Raman spectroscopy
KW - skin cancer detection
KW - suspected melanocytic lesion
UR - http://www.scopus.com/inward/record.url?scp=85197247770&partnerID=8YFLogxK
U2 - 10.1002/jbio.202400050
DO - 10.1002/jbio.202400050
M3 - Article
AN - SCOPUS:85197247770
VL - 17
JO - Journal of biophotonics
JF - Journal of biophotonics
SN - 1864-063X
IS - 8
M1 - e202400050
ER -