Background: Caustic substances can inflict severe damage on tissues upon contact. Knowledge about skin damage caused by sodium hypochlorite is quite limited, with only a few reports available in the literature.
Case Report: A 79-year-old female with severe cognitive decline presented with multiple skin ulcerations that were covered by a blackish-greyish eschar and surrounded by a purple erythematous halo.
Dermatol Pract Concept
October 2024
Introduction: Pyoderma gangrenosum (PG) poses a significant dermatological challenge due to its rapidly evolving painful necrotic ulcerations. Understanding its multifaceted pathogenesis and diverse clinical presentation is crucial for effective management.
Objectives: We aimed to analyze demographic characteristics, clinical manifestations, lesion distributions, systemic disease associations, therapeutic interventions, and patient outcomes in PG cases.
Many automated approaches have been proposed in literature to quantify clinically relevant wound features based on image processing analysis, aiming at removing human subjectivity and accelerate clinical practice. In this work we present a fully automated image processing pipeline leveraging deep learning and a large wound segmentation dataset to perform wound detection and following prediction of the Photographic Wound Assessment Tool (PWAT), automatizing the clinical judgement of the adequate wound healing. Starting from images acquired by smartphone cameras, a series of textural and morphological features are extracted from the wound areas, aiming to mimic the typical clinical considerations for wound assessment.
View Article and Find Full Text PDF