Trichoscopic Evolution of Alopecia Areata: An Algorithmic Approach.

Abstract

With the introduction of Trichoscopy as a rapid, non-invasive diagnostic tool the need for histopathological evaluation has been reduced except for a few indications. There are a constellation of findings seen in alopecia areata which differ with types, severity and nature of the disease. We have tried to develop an algorithm towards the evolution of signs seen in this disease which may help the clinicians as well as researchers in establishing the diagnosis, disease severity, progression and monitoring the therapy response. Also, the trichoscopic progression of these findings as per the lesion and its severity is explained with an algorithmic approach. Few variants like Alopecia areata incognita which are still a matter of debate have also been included as per the trichoscopic evaluation.