In Vivo Differentiation of Cutaneous Melanoma From Benign Nevi With Dual-Modal System of Optical Coherence Tomography and Raman Spectroscopy
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
- Organisationseinheit(en)
-
Hannoversches Zentrum für Optische Technologien (HOT)
PhoenixD: Simulation, Fabrikation und Anwendung optischer Systeme
- Externe Organisation(en)
-
Universität Rostock
- Typ
- Artikel
- Journal
- Journal of biophotonics
- Band
- 18
- Anzahl der Seiten
- 10
- ISSN
- 1864-063X
- Publikationsdatum
- 04.09.2025
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Allgemeine Chemie, Allgemeine Materialwissenschaften, Allgemeine Biochemie, Genetik und Molekularbiologie, Allgemeiner Maschinenbau, Allgemeine Physik und Astronomie
- Ziele für nachhaltige Entwicklung
- SDG 3 - Gute Gesundheit und Wohlergehen
- Elektronische Version(en)
-
https://doi.org/10.1002/jbio.70040 (Zugang:
Offen
)
