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Trichoscopic Evolution of Alopecia Areata: An Algorithmic Approach.

Tarang Goyal¹, Vineet Relhan¹

¹Department of DVL, Muzaffarnagar Medical College, Muzaffarnagar, Uttar Pradesh, India.

International Journal of Trichology

|July 14, 2025

Summary

Trichoscopy offers a rapid, non-invasive method for diagnosing alopecia areata, reducing the need for biopsies. This study presents an algorithm to track trichoscopic findings, aiding diagnosis, severity assessment, and treatment monitoring in alopecia areata.

Keywords:

Alopecia areata alopecia areata incognita black dots dystrophic hair trichoscopy yellow dots

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Area of Science:

Dermatology
Medical Diagnostics

Background:

Trichoscopy is a rapid, non-invasive diagnostic tool for hair and scalp disorders.
Histopathological evaluation is often reduced due to trichoscopy's efficacy.
Alopecia areata presents diverse trichoscopic findings influenced by disease type, severity, and nature.

Purpose of the Study:

To develop an algorithm for the evolution of trichoscopic signs in alopecia areata.
To assist clinicians and researchers in diagnosis, severity assessment, progression monitoring, and therapy response evaluation.
To illustrate the trichoscopic progression of findings based on lesion characteristics and severity.

Main Methods:

Development of a diagnostic algorithm based on trichoscopic observations.
Analysis of trichoscopic findings in various types and severities of alopecia areata.
Inclusion of debated variants like Alopecia areata incognita based on trichoscopic evaluation.

Main Results:

An algorithmic approach to understanding trichoscopic signs in alopecia areata has been established.
The algorithm correlates trichoscopic findings with disease severity, progression, and therapeutic response.
Trichoscopic evaluation provides insights into variants such as Alopecia areata incognita.

Conclusions:

Trichoscopy is a valuable tool for diagnosing and monitoring alopecia areata, often obviating the need for biopsies.
The proposed algorithm aids in standardizing the assessment of alopecia areata through trichoscopy.
This approach enhances clinical decision-making and research in alopecia areata management.