A new biomarker for metastatic melanoma based on femtosecond pump-probe microscopy and supervised learning

David Grass; Angelica M. Selim; Georgia M. Beasley; Martin C. Fischer; Warren S. Warren

doi:10.1117/12.2691938

13 March 2024 A new biomarker for metastatic melanoma based on femtosecond pump-probe microscopy and supervised learning

David Grass, Angelica M. Selim, Georgia M. Beasley, Martin C. Fischer, Warren S. Warren

Author Affiliations +

Proceedings Volume PC12816, Photonics in Dermatology and Plastic Surgery 2024; PC128160K (2024) https://doi.org/10.1117/12.2691938
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Melanoma is responsible for around 10,000 deaths annually in the US. While simple excision can cure most melanomas, some progress into metastatic cancer, necessitating advanced treatment options. However, the current clinical diagnosis methods are insufficient in accurately identifying metastasis. There is a need for better biomarkers for patients at risk of developing metastases to enable timely intervention and appropriate treatment. We present a biomarker based on femtosecond pump-probe microscopy and supervised learning techniques to diagnose metastatic melanoma. Pump-probe microscopy images of primary melanomas reveal the chemical and physical structure of melanin, a naturally occurring pigment in most melanoma tumors. Leveraging supervised learning models, we classify melanin features and utilize them to guide the diagnosis of metastatic disease. Our proposed biomarker is compatible with the current clinical protocol, as it only requires a slice of the primary tumor, which is routinely excised following clinical guidelines. In our preliminary dataset of approximately 50 patients, the biomarker demonstrates encouraging sensitivity and specificity, exceeding 80%.

Conference Presentation

Citation Download Citation

David Grass, Angelica M. Selim, Georgia M. Beasley, Martin C. Fischer, and Warren S. Warren "A new biomarker for metastatic melanoma based on femtosecond pump-probe microscopy and supervised learning", Proc. SPIE PC12816, Photonics in Dermatology and Plastic Surgery 2024, PC128160K (13 March 2024); https://doi.org/10.1117/12.2691938

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available