Optical transfer diagnosis differentiating benign and malignant pigmented lesions in a simulated primary care practice.

BACKGROUND: The detection of melanoma poses a substantial challenge, particularly for primary care providers (PCPs) who may have limited training in discriminating between suspicious and benign melanocytic lesions. The noninvasive optical transfer diagnosis (OTD) method was designed to be used by PCPs in their decision-making process. OBJECTIVES: To assess the potential of the OTD method by developing, training and validating an OTD indication algorithm for automated discrimination between benign melanocytic lesions and malignant lesions, based on a set of 712 lesions. METHODS: The authors performed in vivoOTD capture and subsequent analysis of 712 pigmented lesions. Of the lesions, 415 were clinically and dermoscopically benign and 297 were dermoscopically suspicious or equivocal. After image capture, all suspicious or equivocal lesions were biopsied and examined histopathologically. RESULTS: Of the 297 suspicious or equivocal lesions, histopathological findings revealed 80 to be malignant (64 melanomas, 13 basal cell carcinomas and 3 squamous cell carcinomas). OTD misdiagnosed one of the 80 malignant lesions as benign (sensitivity, 99%). OTD specificity was 93% for the dermoscopically benign lesions, 73% for all lesions included in the study and 36% for the clinically suspicious but histopathologically benign lesions. CONCLUSIONS: High sensitivity and specificity, as provided by OTD in this preliminary study, would help PCPs reduce the number of referrals for dermatology consultation, excision or biopsy. Further studies are planned for screening patients in a primary care setting, with comparisons of OTD results with biopsy or dermoscopy results.

Retrieval of the physiological state of human skin from UV-Vis reflectance spectra - a feasibility study.

We test the feasibility of using an accurate radiative transfer model for the coupled air-tissue system in conjunction with a classic inversion scheme based on Bayesian optimal estimation theory for retrieval of parameters describing the physiological state of human skin. To that end, we analyse ultraviolet and visible reflectance spectra from human skin measured before, immediately after, and on each day for two weeks after photodynamic treatment with the hexyl ester of ALA and exposure to red light (632 nm). For the first time, we show that it is possible to perform a simultaneous retrieval of the melanosome concentration in both the basal and the upper layers of the epidermis.

Optical detection and monitoring of pigmented skin lesions.

A method is presented for discriminating between malignant and benign pigmented skin lesions based on multispectral and multi-angle images. It is discussed how to retrieve maps of physiology properties and morphometric parameters from recorded images using a bio-optical model, radiative transfer calculations, and nonlinear inversion, and how to employ automated zooming to extract lesion and surrounding masks. Training and validation of a classification scheme for separation between benign and malignant tissue yielded sensitivity/specificity ranging from 97%/97% for application to a small dataset comprised of lesions not used for training and validation to 99%/93% for application to a larger dataset.