Journal of

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Nowadays, in modern medicine, there is a great tendency to use non invasive or less invasive diagnostic and therapeutic methods with high precision and effectiveness. This is also true about diagnosis and treatment of non-melanoma skin cancers (NMSCs), that the prototypes are basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) which also considered as the most common human cancers. Therefore, in this review, we present the value and diagnostic features of the dermoscopy (as an emerging and growing non-invasive dermatological evaluation tool) for approaching to NMSC. It is hoped that this study will be an infrastructure for the ever-increasing use of dermoscopy in evaluation of skin cancers, especially NMSCs.

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Background and Aim: Trichoscopy is a non-invasive diagnostic tool for hair diseases. The aim of this study was to evaluate the trichoscopic findings in different types of alopecia. 

Methods: This cross-sectional study was conducted on 155 alopecia patients referring to Hamadan’s Sina hospital from March 2019 to July 2020. The patients were recruited after giving written informed consent. Scalp biopsy was performed to confirm the diagnosis and trichoscopic evaluation was then carried out. Trichoscopic findings along with demographic data were recorded. Data was analyzed using SPSS 16.0 software and appropriate statistical methods.

Results: A total of 155 patients including 79 males and 76 females were included in the study. The most common trichoscopic finding in alopecia areata was vellus hair (95.5%). The most common finding in androgenetic alopecia (AGA) was hair shaft thickness heterogeneity which was observed in all AGA patients. The most common findings in telogen effluvium (TE) were single hair pilosebaceous units, peripilar sign, thin terminal hairs and upright regrowing hairs which were observed in all TE patients. The most common finding in lichen planopilaris was perifollicular scaling (81.8%). The most common findings in discoid lupus erythematosus were large yellow dots (100%) and fine scaling (100%). Black dot was the most prevalent finding in tinea capitis (85.7%). 

Conclusion: Trichoscopy ,as a non-invasive tool, could be helpful in differentiating different types of alopecia.

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Methods: In this study, the LSE (Level Set Evolution) segmentation method along with intensity smoothing has been used for computer recognition of skin lesions. First, the brightness heterogeneity is reduced and a more uniform image is created. Then, the proposed segmentation divides the image domain into distinct regions. This method results in more accurate recognition of skin lesions.
Results: The proposed method has been tested on 200 dermoscopic images from the known PH2 dataset using different color channels. The results show that this method performs better than other methods. Accuracy of 97%, sensitivity of 98%, specificity of 99% and Dice coefficient of 92% have been obtained.
Conclusion: This method has the ability to accurately isolate and diagnose lesions and can help doctors in the treatment process of skin lesions.