Optical Spectroscopy as a Method for Skin Cancer Risk Assessment.

Abstract:

:Skin cancer is the most prevalent cancer, and its assessment remains a challenge for physicians. This study reports the application of an optical sensing method, elastic scattering spectroscopy (ESS), coupled with a classifier that was developed with machine learning, to assist in the discrimination of skin lesions that are concerning for malignancy. The method requires no special skin preparation, is non-invasive, easy to administer with minimal training, and allows rapid lesion classification. This novel approach was tested for all common forms of skin cancer. ESS spectra from a total of 1307 lesions were analyzed in a multi-center, non-randomized clinical trial. The classification algorithm was developed on a 950-lesion training dataset, and its diagnostic performance was evaluated against a 357-lesion testing dataset that was independent of the training dataset. The observed sensitivity was 100% (14/14) for melanoma and 94% (105/112) for non-melanoma skin cancer. The overall observed specificity was 36% (84/231). ESS has potential, as an adjunctive assessment tool, to assist physicians to differentiate between common benign and malignant skin lesions.

journal_name

Photochem Photobiol

authors

Rodriguez-Diaz E,Manolakos D,Christman H,Bonning MA,Geisse JK,A'Amar OM,Leffell DJ,Bigio IJ

doi

10.1111/php.13140

subject

Has Abstract

pub_date

2019-11-01 00:00:00

pages

1441-1445

issue

6

eissn

0031-8655

issn

1751-1097

journal_volume

95

pub_type

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