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皮肤光型分类的优化。

Optimisation of skin phototype classification.

机构信息

Alfred Health, Melbourne, Victoria, Australia.

The Henry W Lim, MD, Division of Photobiology and Photomedicine, Department of Dermatology, Henry Ford Health, Detroit, Michigan, USA.

出版信息

Pigment Cell Melanoma Res. 2023 Nov;36(6):468-471. doi: 10.1111/pcmr.13110. Epub 2023 Aug 7.

Abstract

Understanding individuals' skin pigmentation and photosensitivity is important in judging risk of skin cancer and response to certain treatment modalities. However, individuals with darkly pigmented skin are poorly represented in the widely used Fitzpatrick skin phototype (FST) system. Moreover, the FST system is prone to misuse, as it relies on subjective patient and clinician assessment of skin type, and does not clearly differentiate pigmentation from photosensitivity. By evaluating the key literature surrounding the FST system, its criticisms and proposed alternatives, this review serves to understand how skin phototype classification can be optimised.

摘要

了解个体的皮肤色素沉着和光敏性对于判断皮肤癌风险和对某些治疗方式的反应非常重要。然而,在广泛使用的 Fitzpatrick 皮肤光型(FST)系统中,深色皮肤个体的代表性较差。此外,FST 系统容易被滥用,因为它依赖于患者和临床医生对皮肤类型的主观评估,并且不能清楚地区分色素沉着和光敏性。通过评估围绕 FST 系统的关键文献、对其的批评和提出的替代方案,本综述旨在了解如何优化皮肤光型分类。

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