Details
| Original language | English |
|---|---|
| Article number | e70040 |
| Number of pages | 10 |
| Journal | Journal of biophotonics |
| Volume | 18 |
| Issue number | 9 |
| Publication status | Published - 4 Sept 2025 |
Abstract
A multimodal method comprising optical imaging using OCT and molecular detection using Raman spectroscopy was developed to explore its capability for noninvasive differentiation between melanoma skin cancer and benign skin lesions. Key OCT parameters like the attenuation coefficient, R2, and RMSE, extracted through exponential fitting, were incorporated into machine learning, achieving 96.9% accuracy and an AUC-ROC of 0.99 in 10-fold cross-validation. Raman spectroscopy revealed differences in carotenoid, amide-I, and CH2–CH3 structures between melanoma and nevi, supporting the OCT findings. Autofluorescence background intensity variations further distinguished lesion types and enhanced lesion assessment. Future work will include the investigation of larger patient groups and the combination of both data sets in a combined algorithm. Also, the integration of both modalities and the developed method with photoacoustic tomography and high-frequency ultrasound appears beneficial toward achieving an optical biopsy of melanoma skin cancer and improving diagnostics.
Keywords
- attenuation coefficient, melanoma diagnosis, multimodal noninvasive cancer diagnosis, optical coherence tomography, Raman spectroscopy
ASJC Scopus subject areas
- Chemistry(all)
- General Chemistry
- Materials Science(all)
- General Materials Science
- Biochemistry, Genetics and Molecular Biology(all)
- General Biochemistry,Genetics and Molecular Biology
- Engineering(all)
- General Engineering
- Physics and Astronomy(all)
- General Physics and Astronomy
Sustainable Development Goals
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In: Journal of biophotonics, Vol. 18, No. 9, e70040, 04.09.2025.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - In Vivo Differentiation of Cutaneous Melanoma From Benign Nevi With Dual-Modal System of Optical Coherence Tomography and Raman Spectroscopy
AU - Wu, Di
AU - Fedorov Kukk, Anatoly
AU - Panzer, Rüdiger
AU - Emmert, Steffen
AU - Roth, Bernhard
N1 - Publisher Copyright: © 2025 The Author(s). Journal of Biophotonics published by Wiley-VCH GmbH.
PY - 2025/9/4
Y1 - 2025/9/4
N2 - A multimodal method comprising optical imaging using OCT and molecular detection using Raman spectroscopy was developed to explore its capability for noninvasive differentiation between melanoma skin cancer and benign skin lesions. Key OCT parameters like the attenuation coefficient, R2, and RMSE, extracted through exponential fitting, were incorporated into machine learning, achieving 96.9% accuracy and an AUC-ROC of 0.99 in 10-fold cross-validation. Raman spectroscopy revealed differences in carotenoid, amide-I, and CH2–CH3 structures between melanoma and nevi, supporting the OCT findings. Autofluorescence background intensity variations further distinguished lesion types and enhanced lesion assessment. Future work will include the investigation of larger patient groups and the combination of both data sets in a combined algorithm. Also, the integration of both modalities and the developed method with photoacoustic tomography and high-frequency ultrasound appears beneficial toward achieving an optical biopsy of melanoma skin cancer and improving diagnostics.
AB - A multimodal method comprising optical imaging using OCT and molecular detection using Raman spectroscopy was developed to explore its capability for noninvasive differentiation between melanoma skin cancer and benign skin lesions. Key OCT parameters like the attenuation coefficient, R2, and RMSE, extracted through exponential fitting, were incorporated into machine learning, achieving 96.9% accuracy and an AUC-ROC of 0.99 in 10-fold cross-validation. Raman spectroscopy revealed differences in carotenoid, amide-I, and CH2–CH3 structures between melanoma and nevi, supporting the OCT findings. Autofluorescence background intensity variations further distinguished lesion types and enhanced lesion assessment. Future work will include the investigation of larger patient groups and the combination of both data sets in a combined algorithm. Also, the integration of both modalities and the developed method with photoacoustic tomography and high-frequency ultrasound appears beneficial toward achieving an optical biopsy of melanoma skin cancer and improving diagnostics.
KW - attenuation coefficient
KW - melanoma diagnosis
KW - multimodal noninvasive cancer diagnosis
KW - optical coherence tomography
KW - Raman spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=105005192775&partnerID=8YFLogxK
U2 - 10.1002/jbio.70040
DO - 10.1002/jbio.70040
M3 - Article
AN - SCOPUS:105005192775
VL - 18
JO - Journal of biophotonics
JF - Journal of biophotonics
SN - 1864-063X
IS - 9
M1 - e70040
ER -