33 research outputs found

    Dermatoscopie

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    Poor agreement between the automated risk assessment of a smartphone application for skin cancer detection and the rating by dermatologists

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    Background: Several smartphone applications (app) with an automated risk assessment claim to be able to detect skin cancer at an early stage. Various studies that have evaluated these apps showed mainly poor performance. However, all studies were done in patients and lesions were mainly selected by a specialist. Objectives: To investigate the performance of the automated risk assessment of an app by comparing its assessment to that of a dermatologist in lesions selected by the participants. Methods: Participants of a National Skin Cancer Day were enrolled in a multicentre study. Skin lesions indicated by the participants were analysed by the automated risk assessment of the app prior to blinded rating by the dermatologist. The ratings of the automated risk assessment were compared to the assessment and diagnosis of the dermatologist. Due to the setting of the Skin Cancer Day, lesions were not verified by histopathology. Results: We included 125 participants (199 lesions). The app was not able to analyse 90 cases (45%) of which nine BCC, four atypical naevi and one lentigo maligna. Thirty lesions (67%) with a high and 21 with a medium risk (70%) rating by the app were diagnosed as benign naevi or seborrhoeic keratoses. The interobserver agreement between the ratings of the automated risk assessment and the dermatologist was poor (weighted kappa = 0.02; 95% CI −0.08-0.12; P = 0.74). Conclusions: The rating of the automated risk assessment was poor. Further investigations about the diagnostic accuracy in real-life situations are needed to provide consumers with reliable information about this healthcare application

    Melanoma in older patients: declining gap in survival between younger and older patients with melanoma

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    Background: Older people have the highest incidence of melanoma and the population in most Western countries is ageing. We evaluated how the gap in incidence and survival between younger and older patients has developed during the past decades.Material and methods: All patients diagnosed with cutaneous melanoma between 1989 and 2015 (n = 84,827) were identified from the Netherlands Cancer Registry. Elderly were defined as aged ≥70 years. Differences in patient and tumor characteristics were described, age-specific incidence rates were calculated, and relative survival (RS) and multivariable analyses estimating the Relative Excess Rate of dying (RER) were conductedResults: In older men, the melanoma age-standardized incidence increased from 18 to 103/100,000 person-years (py) between 1989 and 2015 and in older women from 23 to 70/100,000 py. In younger men and women, it increased from 8 to 21 and from 13 to 28/100,000 py, respectively. Median Breslow thickness declined from 1.8 to 1.1 mm and from 1.6 to 1.1 mm in older men and women (2003 versus 2015), and from 1.1 to 0.9 mm and 0.9 to 0.8 mm in younger men and women. In older men, 5-year RS increased from 67% (95% CI: 63%-72%) in 1989-1997 to 85% (95% CI: 83%-87%) in 2007-2015 and in older women from 81% (95% CI: 78%-85%) to 89% (95% CI: 87%-91%). In younger men and women, RS increased from 82% (95% CI: 81%-83%) to 90% (95% CI: 90%-91%) and from 92% (95% CI: 92%-93%) to 96% (95% CI: 95%-96%). After case-mix correction , older men and women no longer showed an improved survival over time (RER 2010-2015 versus 2003-2009: 0.97; 95% CI: 0.81-1.16 and 0.95; 95% CI: 0.79-1.16). Whereas in younger men and women survival remained improved (RER 0.75; 95% CI: 0.67-0.83 and 0.77; 95%CI: 0.67-0.89).Conclusion: The gap in melanoma incidence between younger and older peopl

    Securing the subcuticular running suture

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    Dermatology and Venereolog

    The role of MC1R gene variants and phenotypical features in predicting high nevus count

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    Variants in the Melanocortin 1 Receptor (MC1R) gene have been associated with an increased risk of melanoma, but the role in nevus count is unclear. We investigated if specificMC1Rgene variants or the number ofMC1Rgene variants and phenotypical features were associated with nevus count. A total of 494 participants of the 'Leiden skin cancer study' were included and the MC1R gene coding sequence was analysed by single-strand conformation polymorphism analysis followed by sequencing of unknown variants. The association betweenMC1Rgene variants and nevus count and the association between age, gender and phenotypical features and nevus count were studied using the Chi-square test. Study of nine frequently occurringMC1Rgene variants in participants without skin cancer (n = 203) showed that the 'r' Val60Leu variant was significantly associated with high nevus count (>50 nevi) (P = 0.017). This association was very strong among women (P < 0.001), but not present among men. Having one or twoMC1Rvariants in general did not show a significant difference in the nevus count. Hair colour, skin type, eye colour and age were not significantly associated with nevus count, whereas gender showed a significant association (P = 0.008), with the highest nevus counts in female. The Val60Leu variant of the MC1R gene could be a promising candidate as an independent predictor of high nevus count, particularly in women. This information about the genetic makeup could promote personalized follow-up strategies and might help to prevent skin cancer in the future.Dermatology-oncolog
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