CLINICO-HISTOLOGICAL SCHEMA WITH IMPORTUNITY ON LAYERED ANALYSIS OF PIGMENTED DERMATOSES

Abstract

Introduction: Pigmented dermatoses encompass a diverse spectrum of benign and malignant conditions, necessitating a structured clinico-histological approach for accurate diagnosis and stratification. Layered analysis, integrating clinical presentation with histopathological depth, enhances diagnostic precision and guides management. This study aims to develop a clinico-histological schema for pigmented dermatological lesions, emphasizing a layered analytical approach to improve diagnostic accuracy, risk assessment, and therapeutic decision-making.

Methods: A cohort of patients presenting with pigmented dermatoses underwent detailed clinical evaluation and histopathological examination. Lesions were stratified based on morphological patterns, epidermal and dermal involvement, cellular atypia, and pigmentation characteristics. The findings were correlated with clinical parameters to establish a diagnostic framework.

Results: In toto 75 cases were studied. Pigmented dermatoses presented between the first and eighth decade with a slight female preponderance. The most afflicted site was the head and neck region. Layered analysis facilitated the differentiation between benign, premalignant, and malignant pigmented lesions. Out of the seventy five cases analysed; there were fifty two non-melanocytic and twenty three melanocytic lesions. Of all the cases encountered, benign melanocytic nevi (17.3%) were commonest followed by seborrheic keratosis (14.7%). Stratification based on histopathological depth and cellular architecture improved sensitivity in detecting malignancy and assessing disease progression. Key diagnostic patterns emerged, aiding in subclassification and prognostication.

Conclusion: The proposed clinico-histological schema, incorporating a layered analytical approach, enhances diagnostic accuracy in pigmented dermatoses. This method provides a structured framework for better lesion characterization, aiding clinicians in risk stratification and personalized treatment planning.