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国际共聚焦工作小组关于炎症性皮肤病的多中心研究:特定共聚焦显微镜特征和诊断算法方法。

Multicentre study on inflammatory skin diseases from The International Confocal Working Group: specific confocal microscopy features and an algorithmic method of diagnosis.

机构信息

San Gallicano Dermatological Institute-IRCCS, Via Chianesi 53, 00144, Rome, Italy.

Dermatology Unit, Arcispedale ASMN-IRCCS, Reggio Emilia, Italy.

出版信息

Br J Dermatol. 2016 Aug;175(2):364-74. doi: 10.1111/bjd.14516. Epub 2016 Apr 18.

DOI:10.1111/bjd.14516
PMID:26948927
Abstract

BACKGROUND

The real value of reflectance confocal microscopy (RCM) for the evaluation of inflammatory skin conditions remains unclear. A project on RCM for inflammatory skin diseases involving international centres was designed by a coordinating centre and executed under the supervision of the International Confocal Working Group.

OBJECTIVES

To identify specific confocal features useful for distinction between the three main groups of superficial inflammatory skin diseases.

METHODS

Nineteen different RCM features were evaluated in a total of 155 lesions, diagnosed as spongiotic (45), interface (52) or psoriasiform (58) dermatitis, collected by a consortium of 19 different centres.

RESULTS

Univariate and multivariate analysis identified RCM descriptors for the three main superficial inflammatory disease groups. Later, a multivariate method was employed to define a scoring system to be applied on an algorithmic method of analysis for fast clinical application.

CONCLUSIONS

Our preliminary evaluation supports the use of RCM for the identification of confocal patterns consistent with the major features of the diagnostic groups of inflammatory skin diseases. Moreover, an efficient multivariate method for clinical in vivo RCM diagnosis using a tree decision diagram has been established.

摘要

背景

反射共聚焦显微镜(RCM)在评估炎症性皮肤疾病方面的实际价值仍不清楚。一个由协调中心设计并在国际共聚焦工作组监督下执行的涉及国际中心的 RCM 项目,用于研究炎症性皮肤疾病。

目的

确定对三种主要浅表性炎症性皮肤疾病进行区分的有用的特定共聚焦特征。

方法

由 19 个不同的中心组成的联盟收集了总共 155 个病变,这些病变被诊断为海绵状(45 个)、界面(52 个)或银屑病样(58 个)皮炎,对 19 种不同的 RCM 特征进行了评估。

结果

单变量和多变量分析确定了三种主要浅表性炎症性疾病组的 RCM 描述符。随后,采用多变量方法定义了一个评分系统,应用于算法分析方法,以实现快速的临床应用。

结论

我们的初步评估支持使用 RCM 来识别与炎症性皮肤疾病的主要诊断组的特征一致的共聚焦模式。此外,已经建立了一种使用树决策图的用于临床体内 RCM 诊断的高效多变量方法。

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