Multi-modal Quantitative Imaging of the Skin

This clinical investigation aims to evaluate the feasibility of full-body multi-modal imaging for screening, monitoring and diagnostic support purposes in primary care, by assessing accuracy of body measurements and sensitivity and correlation to disease. The performance in detection of skin cancer, peripheral arterial disease, Raynaud's phenomenon and dermatological conditions are within the scope of this investigation.

The multi-modal technology is based on camera systems, which can capture high-resolution 2D and 3D color images (visible spectrum) and thermal images (infrared spectrum). The appearance, shape, color, etc. and topography of lesions is captured by the color 2D camera of the system and can thus be inspected / quantified. Thermal images are used to capture thermal gradients which may be indicative of microcirculatory changes. The 3D camera is used to ensure that 2D color data and thermal data can be geometrically aligned, thus being able to compare characteristics of the two data types from the very same skin segment / lesion. Furthermore, it enables geometrical measurements of the lesions.

The participants mainly consist of a prospective primary care population, that undergo an investigation at a primary care visit. Full-body images (front and back) of all participants are captured during the visit. Participants receive a questionnaire to fill in on-site, where they state whether they have/have had any of the diseases and conditions part of the investigation. In some subjects, body measurements (circumference and distance) will be acquired manually as part of the primary care flow. Repeated yearly measurements may be performed in subjects who are interested.

• Thermal gradient of inflammatory area compared to surrounding skin to detect presence of psoriasis arthritis [Time frame: Typically same day as enrolment, or if follow-up then 1 year following enrolment.]
• Association between thermal profile/local gradient and presence of inflammatory skin conditions. [Time frame: Typically same day as enrolment, or if follow-up then 1 year following enrolment.]
• Identification of potential cancerous lesions by assessment of thermal profile of suspected lesions [Time frame: Typically same day as enrolment, or if follow-up then 1 year following enrolment.]