In Vivo Differentiation of Cutaneous Melanoma From Benign Nevi With Dual-Modal System of Optical Coherence Tomography and Raman Spectroscopy

Authored by

Di Wu, Anatoly Fedorov Kukk, Rüdiger Panzer, Steffen Emmert, Bernhard Roth

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.

Details

Organisation(s): Hannover Centre for Optical Technologies (HOT)
PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines
External Organisation(s): University of Rostock
Type: Article
Journal: Journal of biophotonics
Volume: 18
No. of pages: 10
ISSN: 1864-063X
Publication date: 04.09.2025
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Chemistry, General Materials Science, General Biochemistry,Genetics and Molecular Biology, General Engineering, General Physics and Astronomy
Sustainable Development Goals: SDG 3 - Good Health and Well-being
Electronic version(s): https://doi.org/10.1002/jbio.70040 (Access: Open )