Prediction of anatomical exposure to solar UV: A case study for the head using SimUVEx v2

Arianna Religi, Laurent Moccozet, David Vernez, Antoine Milon, Claudine Backes, Jean Luc Bulliard, Laurent Vuilleumier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Excessive exposure to solar ultraviolet (UV) radiation is the main cause of skin cancer. The dose-response between UV exposure and skin cancer occurrence is not yet fully understood since UV exposure is highly heterogeneous and strongly influenced by host and behavioural factors, such as posture, orientation to the sun, skin complexion and clothing. To address this issue, a three-dimensional (3D) numeric model (SimUVEx) has been developed to assess dose and distribution of anatomical UV exposure. The model uses 3D computer graphics techniques to compute UV radiance on the basis of postural information and ambient irradiation data, without necessitating time-consuming individual dosimetry, ensuring a wide potential use in skin cancer prevention and research. With the purpose to improve simulation capabilities in order to obtain more realistic scenarios and quantify effective sun protection strategies, a new version has been released, SimUVEX v2. Among new features, a specific morphology for the most sun-exposed body area, the head, has been added. We selected three different styles of hat (cap, wide-brimmed hat and helmet) to compare scenarios with and without solar protections considering the relative contribution of the direct, diffuse and reflected radiation. It was found that, sites directly covered apart (e.g., forehead and top of the head), hats with a wide brim are necessary in order to provide reasonable protections around facial zones on which non-melanoma skin cancers commonly occur, such as nose and cheeks.

Original languageEnglish
Title of host publication2016 IEEE 18th International Conference on e-Health Networking, Applications and Services, Healthcom 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509033706
DOIs
Publication statusPublished - 18 Nov 2016
Externally publishedYes
Event18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016 - Munich, Germany
Duration: 14 Sep 201617 Sep 2016

Publication series

Name2016 IEEE 18th International Conference on e-Health Networking, Applications and Services, Healthcom 2016

Conference

Conference18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016
Country/TerritoryGermany
CityMunich
Period14/09/1617/09/16

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