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使用分诊综合皮肤镜算法对加拿大家庭医学医生进行皮肤镜培训对皮肤病变诊断准确性的影响。

Dermoscopy Training Effect on Diagnostic Accuracy of Skin Lesions in Canadian Family Medicine Physicians Using the Triage Amalgamated Dermoscopic Algorithm.

作者信息

Sawyers Elizabeth A, Wigle Donald T, Marghoob Ashfaq A, Blum Andreas

机构信息

Community Family Practice, Ottawa, Canada.

Medical Epidemiology, Ottawa, Canada.

出版信息

Dermatol Pract Concept. 2020 Apr 3;10(2):e2020035. doi: 10.5826/dpc.1002a35. eCollection 2020.

DOI:10.5826/dpc.1002a35
PMID:32363097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7190575/
Abstract

BACKGROUND

Accurate identification of cutaneous lesions is an essential skill for family medicine physicians (FMPs). Studies show significant improvement in skin cancer detection with dermoscopy use. Frontline FMPs are an ideal target group for dermoscopy training. The 3-step Triage Amalgamated Dermoscopic Algorithm (TADA) facilitates high sensitivity and specificity for pigmented and nonpigmented skin lesions. Step I requires unequivocal identification of dermoscopic features for 1 of 3 benign skin lesions: angioma, dermatofibroma, or seborrheic keratosis. If absent, steps II and III are applied assessing for features of architectural disorder and malignancies with organized, symmetric patterns, respectively.

OBJECTIVE

To assess FMPs' diagnostic accuracy of benign and malignant skin lesions before and after training in TADA step I.

METHODS

In this repeated-measures observational study, 33 dermoscopy-naive FMPs attending an introductory dermoscopy workshop each assessed gross and corresponding dermoscopic photographic images of 50 pigmented and nonpigmented skin lesions (23 benign, 27 malignant) for features of TADA step I lesions before and after training. Analyses compared diagnostic accuracy in relation to training and baseline physician characteristics.

RESULTS

Diagnostic accuracy improved from 76.4% to 90.8% (P < 0.001) and from 85.0% to 90.0% (P = 0.01), respectively, for all lesions and for all TADA I lesions. Female sex was significant as a predictor of individual posttraining performance (all lesions combined, P = 0.02).

CONCLUSIONS

Results show significant improvement in diagnostic accuracies for benign and malignant skin lesions with introductory dermoscopy training using TADA step I. This will reduce unnecessary benign lesion excision and enhance referral sensitivity, conserving specialist resources.

摘要

背景

准确识别皮肤病变是家庭医学医生(FMP)的一项基本技能。研究表明,使用皮肤镜可显著提高皮肤癌的检测率。一线FMP是皮肤镜培训的理想目标群体。三步分诊联合皮肤镜算法(TADA)对色素沉着和非色素沉着性皮肤病变具有较高的敏感性和特异性。第一步要求明确识别三种良性皮肤病变(血管瘤、皮肤纤维瘤或脂溢性角化病)之一的皮肤镜特征。如果不存在这些特征,则应用第二步和第三步,分别评估具有规则、对称模式的结构紊乱和恶性病变特征。

目的

评估FMP在TADA第一步培训前后对良性和恶性皮肤病变的诊断准确性。

方法

在这项重复测量观察性研究中,33名未接触过皮肤镜的FMP参加了一次皮肤镜入门研讨会,他们在培训前后分别评估了50个色素沉着和非色素沉着性皮肤病变(23个良性,27个恶性)的大体和相应皮肤镜照片图像,以确定TADA第一步病变的特征。分析比较了与培训和基线医生特征相关的诊断准确性。

结果

所有病变和所有TADA第一步病变的诊断准确性分别从76.4%提高到90.8%(P < 0.001)和从85.0%提高到90.0%(P = 0.01)。女性是个体培训后表现的显著预测因素(所有病变合并,P = 0.02)。

结论

结果表明,使用TADA第一步进行皮肤镜入门培训后,良性和恶性皮肤病变的诊断准确性有显著提高。这将减少不必要的良性病变切除,并提高转诊敏感性,节省专科资源。

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Triage amalgamated dermoscopic algorithm (TADA) for skin cancer screening.用于皮肤癌筛查的分诊合并皮肤镜算法(TADA)。
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