The aim of the study was to evaluate the clinical and histopathological characteristics of patients with post burn pruritus. The authors took skin samples from 62 burn patients with or without pruritus. The measured skin condition includes thickness and paresthesia.
View Article and Find Full Text PDFThe aim of the study was to evaluate the clinical and histopathological characteristics of patients with post burn pruritus. The authors took skin samples from 62 burn patients with or without pruritus. The measured skin condition includes thickness and paresthesia.
View Article and Find Full Text PDFBackground: Topical calcineurin inhibitors (TCIs) have been successfully used to treat seborrheic dermatitis (SD) patients. Meanwhile, treatment of atopic dermatitis (AD) with low-dose, intermittent TCI has been proved to reduce disease flare-ups. This regimen is known as a maintenance treatment.
View Article and Find Full Text PDFBackground: The Atopic Dermatitis Antecubital Severity (ADAS) score is a new objective scale for the assessment of the severity of atopic dermatitis (AD). It is calculated by multiplying the intensity of inflammatory signs by the size of an antecubital eczema lesion.
Aim: To test the validity, reliability, and sensitivity to changes of the ADAS score compared with those of the Eczema Area and Severity Index (EASI) score.
Background: Atopic dermatitis (AD) is characterized by itching and eczema-like skin lesions, and its symptoms alleviate with age. Recently, the prevalence of AD has increased among adolescents and adults. The increasing prevalence of AD seems to be related to westernized lifestyles and dietary patterns.
View Article and Find Full Text PDFPost-burn pruritus is a common distressing consequence of burn wounds. Empirical treatment often fails to have a satisfactory outcome on post-burn pruritus, as the mechanism of post-burn pruritus has not been fully elucidated. The aim of this study was to evaluate the manifestation of transient receptor potential (TRP) channels in post-burn pruritus.
View Article and Find Full Text PDFA computer-aided diagnosis (CAD) algorithm identifying breast nodule malignancy using multiple ultrasonography (US) features and artificial neural network (ANN) classifier was developed from a database of 584 histologically confirmed cases containing 300 benign and 284 malignant breast nodules. The features determining whether a breast nodule is benign or malignant were extracted from US images through digital image processing with a relatively simple segmentation algorithm applied to the manually preselected region of interest. An ANN then distinguished malignant nodules in US images based on five morphological features representing the shape, edge characteristics, and darkness of a nodule.
View Article and Find Full Text PDF