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Development of a targeted risk‐group model for skin cancer screening based on more than 100 000 total skin examinations
Author(s) -
Guther S.,
Ramrath K.,
DyallSmith D.,
Landthaler M.,
Stolz W.
Publication year - 2012
Publication title -
journal of the european academy of dermatology and venereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 107
eISSN - 1468-3083
pISSN - 0926-9959
DOI - 10.1111/j.1468-3083.2011.04014.x
Subject(s) - medicine , skin cancer , melanoma , population , cancer , dermatology , stage (stratigraphy) , basal cell carcinoma , logistic regression , prospective cohort study , oncology , basal cell , environmental health , cancer research , paleontology , biology
Background Skin cancer screening aims to detect potentially metastasizing skin cancers at an early and surgically curable stage. This may take the form of mass screening, as currently occurs in Germany, or of targeted screening of those at greatest risk. Objective To develop a model to identify patients at high risk of developing skin cancer who would benefit from regular skin cancer screening. Methods This was an open prospective point‐prevalence study of consecutive patients presenting to dermatologists for a total skin check. Demographic and skin cancer risk factors were recorded and, for the first time, histology of skin lesions was documented. Results were analysed by univariate and multivariate analyses and, after logistic regression with stepwise forward selection, a risk‐group model was developed. Results The results of 108 281 total skin examinations were available for analysis. 142 definite melanomas, 108 severely dysplastic naevi/cannot‐exclude‐melanoma, 491 basal cell carcinomas (BCC) and 93 squamous cell carcinomas (SCC) were excised. A risk model was developed for melanoma and SCC based on mathematical e‐functions. The model had >92% sensitivity for melanoma and SCC and an overall 67.24% specificity for melanoma, SCC and BCC. This targeted risk model identified one‐third of the study population as being at risk for the development of melanoma and SCC. Conclusions Using the risk calculator developed from this study, targeted screening of the identified at‐risk population reduces the numbers needed to be screened regularly by 50%, yet has better sensitivity for melanoma and similar sensitivity for SCC compared to the current mass screening programme in Germany.