Background: Dermoscopy used by experts has been demonstrated to improve the diagnostic accuracy for melanoma. However, little is known about the diagnostic validity of dermoscopy when used by nonexperts. Objective: To evaluate the diagnostic performance of nonexperts using a new 3-point checklist based on a simplified dermoscopic pattern analysis. Methods: Clinical and dermoscopic images of 231 clinically equivocal and histopathologically proven pigmented skin lesions were examined by 6 nonexperts and 1 expert in dermoscopy. For each lesion the nonexperts assessed 3 dermoscopic criteria (asymmetry, atypical network and blue-white structures) constituting the 3-point method. In addition, all examiners made an overall diagnosis by using standard pattern analysis of dermoscopy. Results: Asymmetry, atypical network and blue-white structures were shown to be reproducible dermoscopic criteria, with a kappa value ranging from 0.52 to 0.55. When making the overall diagnosis, the expert had 89.6% sensitivity for malignant lesions (tested on 68 melanomas and 9 pigmented basal cell carcinomas), compared to 69.7% sensitivity achieved by the nonexperts. Remarkably, the sensitivity of the nonexperts using the 3-point checklist reached 96.3%. The specificity of the expert using overall diagnosis was 94.2% compared to 82.8 and 32.8% achieved by the nonexperts using overall diagnosis and 3-point checklist, respectively. Conclusion: The 3-point checklist is a valid and reproducible dermoscopic algorithm with high sensitivity for the diagnosis of melanoma in the hands of non-experts. Thus it may be applied as a screening procedure for the early detection of melanoma.

Dermoscopy improves the diagnostic accuracy in the clinical evaluation of pigmented skin lesions, but it is also useful for the assessment of vascular structures that are not visible to the naked eye. As a consequence, dermoscopy has been employed more and more for the differential diagnosis of nonpigmented skin disorders, including tumors but also inflammatory and infectious diseases. This article provides a review of the dermoscopic features seen in various nonpigmented tumoral and nontumoral skin lesions as well as the dermoscopic criteria used for monitoring skin reactions to various treatments.

Background: There is upcoming evidence that dermoscopy facilitates the in vivo diagnosis of skin infections and infestations. As such, dermoscopy connects the research fields of dermatologists and entomologists, opening a new research field of ‘entodermoscopy’. Objective: To provide an overview on the current applications of entodermoscopy. Methods: Systematic review of the English- and German-language literature by searches of Medline, Medscape and abstracts of the 1st World Congress of the International Dermoscopy Society. Results: Dermoscopic patterns have been described for viral warts, molluscum contagiosum, scabies, pediculosis, tinea nigra, tungiasis, cutaneous larva migrans, ticks and reactions to spider leg spines. Besides the diagnostic role of dermoscopy, there is increasing evidence that it can also assist in the monitoring of treatment efficacy for some of these conditions. Conclusion: Although most of the current available literature is based on single observations and small case studies rather than controlled trials, an increasing interest in this field can be observed.

Background The parallel ridge pattern (PRP) is considered the dermoscopic hallmark of acral melanoma (AM). However, it was recently shown that approximately one‐third of AMs do not display a PRP dermoscopically, rendering their detection more troublesome. Objectives To investigate the diagnostic accuracy of dermoscopic criteria for the diagnosis of AM. Methods Dermoscopic images of consecutive cases of histopathologically diagnosed AMs and acral naevi with histopathological diagnosis or with at least 1 year of follow‐up were evaluated by three independent investigators for the presence of predefined criteria. Crude and adjusted odds ratios and their corresponding 95% confidence intervals were calculated by univariate and multivariate logistic regression, respectively. Receiver operating characteristic curves were used to choose among competing classification schemes. Results In total 603 lesions (472 naevi and 131 AMs) were included in the study. A scoring system (named BRAAFF) composed of six variables was associated with optimal area under the curve and sensitivity for the diagnosis of AM. This method includes four positive (irregular blotches, ridge pattern, asymmetry of structures and asymmetry of colours) and two negative predictors (furrow pattern and fibrillar pattern). Conclusions The BRAAFF checklist significantly improves the diagnostic accuracy of dermoscopy for the diagnosis of AM.