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共聚焦激光扫描显微镜对恶性皮肤肿瘤进行体内诊断的敏感性和特异性。

Sensitivity and specificity of confocal laser-scanning microscopy for in vivo diagnosis of malignant skin tumors.

作者信息

Gerger Armin, Koller Silvia, Weger Wolfgang, Richtig Erika, Kerl Helmut, Samonigg Hellmut, Krippl Peter, Smolle Josef

机构信息

Department of Internal Medicine, Division of Oncology, Medical University of Graz, Graz, Austria.

出版信息

Cancer. 2006 Jul 1;107(1):193-200. doi: 10.1002/cncr.21910.

Abstract

BACKGROUND

Melanoma and nonmelanoma skin cancer are the most frequent malignant tumors by far among whites. Currently, early diagnosis is the most efficient method for preventing a fatal outcome. In vivo confocal laser-scanning microscopy (CLSM) is a recently developed potential diagnostic tool.

METHODS

One hundred seventeen melanocytic skin lesions and 45 nonmelanocytic skin lesions (90 benign nevi, 27 malignant melanomas, 15 basal cell carcinomas, and 30 seborrheic keratoses) were sampled consecutively and were examined using proprietary CLSM equipment. Stored images were rated by 4 independent observers.

RESULTS

Differentiation between melanoma and all other lesions based solely on CLSM examination was achieved with a positive predictive value of 94.22%. Malignant lesions (melanoma and basal cell carcinoma) as a group were diagnosed with a positive predictive value of 96.34%. Assessment of distinct CLSM features showed a strong interobserver correlation (kappa >0.80 for 11 of 13 criteria). Classification and regression tree analysis yielded a 3-step algorithm based on only 3 criteria, facilitating a correct classification in 96.30% of melanomas, 98.89% of benign nevi, and 100% of basal cell carcinomas and seborrheic keratoses.

CONCLUSIONS

In vivo CLSM examination appeared to be a promising method for the noninvasive assessment of melanoma and nonmelanoma skin tumors.

摘要

背景

黑色素瘤和非黑色素瘤皮肤癌是目前白人中最常见的恶性肿瘤。目前,早期诊断是预防致命后果的最有效方法。体内共聚焦激光扫描显微镜(CLSM)是一种最近开发的潜在诊断工具。

方法

连续采集117个黑素细胞性皮肤病变和45个非黑素细胞性皮肤病变(90个良性痣、27个恶性黑色素瘤、15个基底细胞癌和30个脂溢性角化病),并使用专用CLSM设备进行检查。存储的图像由4名独立观察者进行评分。

结果

仅基于CLSM检查实现黑色素瘤与所有其他病变的区分,阳性预测值为94.22%。作为一组的恶性病变(黑色素瘤和基底细胞癌)诊断的阳性预测值为96.34%。对不同CLSM特征的评估显示观察者间有很强的相关性(13项标准中的11项kappa>0.80)。分类和回归树分析产生了一种仅基于3项标准的三步算法,在96.30%的黑色素瘤、98.89%的良性痣以及100%的基底细胞癌和脂溢性角化病中实现了正确分类。

结论

体内CLSM检查似乎是一种用于黑色素瘤和非黑色素瘤皮肤肿瘤无创评估的有前景的方法。

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