Photoaging Mobile Apps as a Novel Opportunity for Melanoma Prevention: Pilot Study

Background Around 90% of melanomas are caused by ultraviolet (UV) exposure and are therefore eminently preventable. Unhealthy tanning behavior is mostly initiated in early adolescence, often with the belief that it increases attractiveness; the problems related to skin atrophy and malignant melanoma are too far in the future to fathom. Photoaging desktop programs, in which an image is altered to predict future appearance, have been successful in positively influencing behavior in adiposity or tobacco prevention settings. Objective To develop and test a photoaging app designed for melanoma prevention. Methods We harnessed the widespread availability of mobile phones and adolescents’ interest in appearance to develop a free mobile app called Sunface. This app has the user take a self-portrait (ie, a selfie), and then photoages the image based on Fitzpatrick skin type and individual UV protection behavior. Afterward, the app explains the visual results and aims at increasing self-competence on skin cancer prevention by providing guideline recommendations on sun protection and the ABCDE rule for melanoma self-detection. The underlying aging algorithms are based on publications showing UV-induced skin damage by outdoor as well as indoor tanning. To get a first impression on how well the app would be received in a young target group, we included a total sample of 25 students in our cross-sectional pilot study with a median age of 22 (range 19-25) years of both sexes (11/25, 44% female; 14/25, 56% male) attending the University of Essen in Germany. Results The majority of enrolled students stated that they would download the app (22/25, 88%), that the intervention had the potential to motivate them to use sun protection (23/25, 92%) and that they thought such an app could change their perceptions that tanning makes you attractive (19/25, 76%). Only a minority of students disagreed or fully disagreed that they would download such an app (2/25, 8%) or that such an app could change their perceptions on tanning and attractiveness (4/25, 16%). Conclusions Based on previous studies and the initial study results presented here, it is reasonable to speculate that the app may induce behavioral change in the target population. Further work is required to implement and examine the effectiveness of app-based photoaging interventions within risk groups from various cultural backgrounds.

[1]  J. Utikal,et al.  Dabrafenib and trametinib versus dabrafenib and placebo for Val600 BRAF-mutant melanoma: a multicentre, double-blind, phase 3 randomised controlled trial , 2015, The Lancet.

[2]  G. Linette,et al.  Combined nivolumab and ipilimumab versus ipilimumab alone in patients with advanced melanoma: 2-year overall survival outcomes in a multicentre, randomised, controlled, phase 2 trial. , 2016, The Lancet. Oncology.

[3]  J. Larkin,et al.  Pembrolizumab versus Ipilimumab in Advanced Melanoma. , 2015, The New England journal of medicine.

[4]  M. Janda,et al.  Greater Precision in Melanoma Prevention. , 2017, JAMA dermatology.

[5]  Boreom Lee,et al.  Smartphone-based multispectral imaging: system development and potential for mobile skin diagnosis. , 2016, Biomedical optics express.

[6]  R. Turrisi,et al.  Theory-Driven Longitudinal Study Exploring Indoor Tanning Initiation in Teens Using a Person-Centered Approach , 2018 .

[7]  Craig Locatis,et al.  Direct to Consumer Mobile Teledermatology Apps: An Exploratory Study. , 2016, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[8]  C. Suver,et al.  The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit , 2017, Scientific Data.

[9]  D. Schadendorf,et al.  Nivolumab in previously untreated melanoma without BRAF mutation. , 2015, The New England journal of medicine.

[10]  S. Feldman,et al.  Web app based patient education in psoriasis - a randomized controlled trial. , 2017, Dermatology online journal.

[11]  T. Brinker,et al.  Photoaging smartphone app promoting poster campaign to reduce smoking prevalence in secondary schools: the Smokerface Randomized Trial: design and baseline characteristics , 2016, BMJ Open.

[12]  Adeel Anjum,et al.  m-Skin Doctor: A Mobile Enabled System for Early Melanoma Skin Cancer Detection Using Support Vector Machine , 2016, eHealth 360°.

[13]  B. Volkmer,et al.  Sunbed use, user characteristics, and motivations for tanning: results from the German population-based SUN-Study 2012. , 2013, JAMA dermatology.

[14]  R. Turrisi,et al.  A Web-Based Intervention to Reduce Indoor Tanning Motivations in Adolescents: a Randomized Controlled Trial , 2017, Prevention Science.

[15]  R. Luiten,et al.  Oxidation events and skin aging , 2015, Ageing Research Reviews.

[16]  J. Klode,et al.  A Medical Student-Delivered Smoking Prevention Program, Education Against Tobacco, for Secondary Schools in Germany: Randomized Controlled Trial , 2017, Journal of medical Internet research.

[17]  T. Brinker,et al.  A Medical Student–Delivered Smoking Prevention Program, Education Against Tobacco, for Secondary Schools in Brazil: Study Protocol for a Randomized Trial , 2017, JMIR Research Protocols.

[18]  S. Grogan,et al.  Impact of a facial-ageing intervention versus a health literature intervention on women’s sun protection attitudes and behavioural intentions , 2013, Psychology & health.

[19]  A. Sivachenko,et al.  A Landscape of Driver Mutations in Melanoma , 2012, Cell.

[20]  D. Schadendorf,et al.  Factors predictive of response, disease progression, and overall survival after dabrafenib and trametinib combination treatment: a pooled analysis of individual patient data from randomised trials. , 2016, The Lancet. Oncology.

[21]  G. Argenziano,et al.  Teledermatology and Mobile Applications in the Management of Patients with Skin Lesions. , 2017, Acta dermato-venereologica.

[22]  T. Brinker,et al.  Photoaging Mobile Apps in School-Based Tobacco Prevention: The Mirroring Approach , 2016, Journal of medical Internet research.

[23]  J. Ring,et al.  The value of teledermatology using a mobile app compared to conventional dermatology , 2017, European Journal of Dermatology.

[24]  Sebastian Thrun,et al.  Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.

[25]  M A Weinstock,et al.  The global burden of melanoma: results from the Global Burden of Disease Study 2015 , 2017, The British journal of dermatology.

[26]  A. Hauschild,et al.  Comparison of dabrafenib and trametinib combination therapy with vemurafenib monotherapy on health-related quality of life in patients with unresectable or metastatic cutaneous BRAF Val600-mutation-positive melanoma (COMBI-v): results of a phase 3, open-label, randomised trial. , 2015, The Lancet. Oncology.

[27]  M. Valsecchi Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma. , 2015, The New England journal of medicine.

[28]  A. Hauschild,et al.  Improved overall survival in melanoma with combined dabrafenib and trametinib. , 2015, The New England journal of medicine.

[29]  T. Ruzicka,et al.  mHealth App for Risk Assessment of Pigmented and Nonpigmented Skin Lesions-A Study on Sensitivity and Specificity in Detecting Malignancy. , 2017, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[30]  J. Resneck,et al.  Choice, Transparency, Coordination, and Quality Among Direct-to-Consumer Telemedicine Websites and Apps Treating Skin Disease. , 2016, JAMA dermatology.

[31]  M. Martini,et al.  Early Detection of New Melanomas by Patients With Melanoma and Their Partners Using a Structured Skin Self-examination Skills Training Intervention: A Randomized Clinical Trial. , 2016, JAMA dermatology.

[32]  Jemima J Dorairaj,et al.  Validation of a Melanoma Risk Assessment Smartphone Application , 2017, Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.].

[33]  Robert P. Dellavalle,et al.  Mobile Device Use in Dermatologic Patient Care , 2016, Current Dermatology Reports.

[34]  Delia Hendrie,et al.  Internet-Based Photoaging Within Australian Pharmacies to Promote Smoking Cessation: Randomized Controlled Trial , 2013, Journal of medical Internet research.

[35]  M Khazova,et al.  Validation and in vivo assessment of an innovative satellite-based solar UV dosimeter for a mobile app dedicated to skin health , 2016, Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology.

[36]  M. Taylor,et al.  Young Australian adults' reactions to viewing personalised UV photoaged photographs. , 2014, The Australasian medical journal.

[37]  R. Greinert,et al.  Prevalence of sun‐protective behaviour and intentional sun tanning in German adolescents and adults: results of a nationwide telephone survey , 2018, Journal of the European Academy of Dermatology and Venereology : JEADV.

[38]  T. Brinker,et al.  Photoaging Mobile Apps: A Novel Opportunity for Smoking Cessation? , 2015, Journal of medical Internet research.

[39]  Bruce K Armstrong,et al.  Clinical Features Associated With Individuals at Higher Risk of Melanoma: A Population-Based Study , 2017, JAMA dermatology.

[40]  S. Cheung Skin cancer: prevention is better than cure , 2013, Journal of the Royal Society of Medicine.

[41]  Fartash Vasefi,et al.  Melanoma detection using smartphone and multimode hyperspectral imaging , 2016, SPIE BiOS.

[42]  W. Bergman,et al.  Conflicting results between the analysis of skin lesions using a mobile‐phone application and a dermatologist's clinical diagnosis: a pilot study , 2017, The British journal of dermatology.

[43]  Steven J. M. Jones,et al.  Genomic Classification of Cutaneous Melanoma , 2015, Cell.