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两步七粉红法则:一种用于完全无色素性皮肤病变皮肤镜评估的实用工具。

Two-step-7-Pink Rule: A Practical Tool for the Dermoscopic Evaluation of Fully Amelanotic Skin Lesions.

作者信息

Pampena Riccardo, Migliorati Stefano, Paolino Giovanni, Lai Michela, Lippolis Nicola, Guida Stefania, Borsari Stefania, Pellerone Sebastiano, Di Ciaccio Sofia Maria, Moscarella Elvira, Pellacani Giovanni, Argenziano Giuseppe, Longo Caterina

机构信息

Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Skin Cancer Center, Reggio Emilia, Italy.

Dermatology Department, University of Modena and Reggio Emilia, Modena, Italy.

出版信息

Dermatol Pract Concept. 2025 Jan 30;15(1):4768. doi: 10.5826/dpc.1501a4768.

Abstract

INTRODUCTION

The diagnosis of fully amelanotic skin tumors is difficult on clinical and dermoscopic examination.

OBJECTIVES

We sought to identify an accurate and user-friendly dermoscopic algorithm to differentiate between benign and malignant pink lesions.

METHODS

The database of 1 referral center was retrospectively reviewed for images of non-inflammatory fully amelanotic skin lesions. Two dermatologists jointly assessed a validation set of images for dermoscopic criteria and constructed a diagnostic algorithm, the 2-step-7-pink rule (2S-7PR). Two external clinicians, with different skills in dermoscopy and blinded to the final diagnosis, separately evaluated images from the validation test sets using the prevalent criterion method and the new 2S-7PR algorithm.

RESULTS

A total of 763 lesions from 652 patients were included in the validation set database, of which 68.3% were malignant and 31.7% were benign. Three suspicious dermoscopic criteria were included in the first step of the 2S-7PR: polymorphous or sharply focused vessels, scales or crusts, and erosions or ulcerations; and 4 non-suspicious criteria were included in the second: white collarette, white scar-like area, vascular lacunae, and necklace pinpoint vessels. High levels of specificity and sensitivity were calculated in the validation and test phases for both the expert and non-expert evaluators, the former achieving higher levels of both sensitivity and specificity by employing the 2S-7PR compared to the prevalent method, and the latter only improved specificity.

CONCLUSIONS

The present study showed that an algorithm focused on a few reproducible and easily recognizable criteria could improve diagnostic accuracy in the management of amelanotic lesions.

摘要

引言

在临床和皮肤镜检查中,完全无色素沉着的皮肤肿瘤诊断困难。

目的

我们试图确定一种准确且用户友好的皮肤镜算法,以区分良性和恶性粉色病变。

方法

回顾性分析1个转诊中心数据库中无炎症的完全无色素沉着皮肤病变的图像。两名皮肤科医生共同评估一组验证图像的皮肤镜标准,并构建了一种诊断算法,即两步七粉色规则(2S-7PR)。两名外部临床医生,皮肤镜技能不同且对最终诊断不知情,分别使用普遍标准方法和新的2S-7PR算法评估验证测试集的图像。

结果

验证集数据库共纳入652例患者的763个病变,其中68.3%为恶性,31.7%为良性。2S-7PR的第一步包括三个可疑的皮肤镜标准:多形性或聚焦清晰的血管、鳞屑或结痂、糜烂或溃疡;第二步包括四个非可疑标准:白色项圈、白色瘢痕样区域、血管腔隙和项链状点状血管。在验证和测试阶段,专家和非专家评估者计算出的特异性和敏感性水平都很高,与普遍方法相比,前者通过采用2S-7PR在敏感性和特异性方面都达到了更高水平,而后者仅提高了特异性。

结论

本研究表明,一种关注少数可重复且易于识别标准的算法可以提高无色素沉着病变管理中的诊断准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d7/11928135/2742da185fdc/dc1501a4768g001.jpg

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