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斑秃的毛发镜演变:一种算法方法。

Trichoscopic Evolution of Alopecia Areata: An Algorithmic Approach.

作者信息

Goyal Tarang, Relhan Vineet

机构信息

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

出版信息

Int J Trichology. 2025 Jan-Feb;17(1):84-89. doi: 10.4103/ijt.ijt_104_23. Epub 2025 Jun 23.

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.

摘要

随着毛发镜作为一种快速、非侵入性诊断工具的引入,除了少数适应症外,对组织病理学评估的需求已经减少。斑秃有一系列的表现,这些表现因疾病的类型、严重程度和性质而异。我们试图针对这种疾病中所见体征的演变开发一种算法,这可能有助于临床医生和研究人员进行诊断、确定疾病严重程度、病情进展以及监测治疗反应。此外,还采用算法方法解释了这些表现根据病变及其严重程度的毛发镜进展情况。根据毛发镜评估,还纳入了一些仍存在争议的罕见变体,如难以辨认的斑秃。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe52/12251979/a4050a1d0c8d/IJT-17-84-g001.jpg

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