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分光光度法测定皮肤颜色参数及环境与行为因素在评估皮肤癌风险中的预测价值:一项病例对照研究

Assessment of the Predictive Value of Spectrophotometric Skin Color Parameters and Environmental and Behavioral Factors in Estimating the Risk of Skin Cancer: A Case-Control Study.

作者信息

Fijałkowska Marta, Koziej Mateusz, Żądzińska Elżbieta, Antoszewski Bogusław, Sitek Aneta

机构信息

Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Lodz, 90-419 Lodz, Poland.

Department of Anatomy, Jagiellonian University Medical College, 31-008 Cracow, Poland.

出版信息

J Clin Med. 2022 May 25;11(11):2969. doi: 10.3390/jcm11112969.

DOI:10.3390/jcm11112969
PMID:35683358
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9181677/
Abstract

Keratinocyte carcinomas are the most common cancers with different etiological risk factors. The aim of this study was to assess the predictive value of spectrophotometric parameters of skin color in correlation with environmental/behavioral factors to estimate the risk of skin cancer. The case-control study involved 389 patients. The analysis was performed on the training group to build a predictive model and on the testing group to check the quality of the designed model. Area under the curve based on the spectrophotometric skin parameters varied from 0.536 to 0.674. A statistically significant improvement of the area under curve was achieved by adding the number of sunburns for some models. The best single spectrophotometric measurement for estimating skin cancer is the skin melanin index measured on the arm or buttock. Spectrophotometric skin parameters are not very strong but are essential elements of models for estimating the risk of skin cancer. The most important environmental/behavioral factor seems to be the number of sunburns, but not the total exposure to ultraviolet radiation or usage of photoprotectors. Some other pigmentation predictors should be taken into account when creating new models, especially those that can be easily measured in objective and repeatable way. Spectrophotometric measurements can be employed as quick screening skin examination method.

摘要

角质形成细胞癌是最常见的癌症,具有不同的病因风险因素。本研究的目的是评估皮肤颜色的分光光度参数与环境/行为因素相关时对皮肤癌风险估计的预测价值。这项病例对照研究涉及389名患者。分析在训练组进行以建立预测模型,并在测试组进行以检查所设计模型的质量。基于分光光度皮肤参数的曲线下面积从0.536到0.674不等。对于某些模型,通过加入晒伤次数,曲线下面积有统计学上的显著改善。估计皮肤癌的最佳单一分光光度测量方法是在手臂或臀部测量的皮肤黑色素指数。分光光度皮肤参数不是很强,但却是估计皮肤癌风险模型的基本要素。最重要的环境/行为因素似乎是晒伤次数,而不是紫外线总暴露量或光保护剂的使用情况。在创建新模型时应考虑一些其他色素沉着预测因素,尤其是那些可以以客观且可重复的方式轻松测量的因素。分光光度测量可作为快速筛查皮肤检查方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b26/9181677/21994abcc00f/jcm-11-02969-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b26/9181677/21994abcc00f/jcm-11-02969-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b26/9181677/21994abcc00f/jcm-11-02969-g001.jpg

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