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电阻抗谱技术与恶性黑色素瘤的诊断准确性。

Electrical impedance spectroscopy and the diagnostic accuracy for malignant melanoma.

机构信息

Division of Imaging and Technology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Huddinge, Sweden.

出版信息

Exp Dermatol. 2011 Aug;20(8):648-52. doi: 10.1111/j.1600-0625.2011.01285.x. Epub 2011 May 4.

DOI:10.1111/j.1600-0625.2011.01285.x
PMID:21539620
Abstract

BACKGROUND

The accuracy of diagnosis of skin cancer and especially of early malignant melanoma is most important to reduce its morbidity and mortality. Previous pilot studies using electrical impedance measurements indicate statistically significant accuracies for the detection of skin cancer.

OBJECTIVES

The aim of this study is to investigate the accuracy of electrical impedance spectra to distinguish between malignant melanoma and benign skin lesions using an automated classification algorithm.

PATIENTS/METHODS: Electrical impedance spectra were measured in a multi-centre study at 12 clinics around Europe. Data from 285 histologically analysed lesions were used to train an algorithm to sort out lesions for automatic detection of melanoma. Another data cohort of 210 blinded lesions (148 various benign lesions and 62 malignant melanomas where 38 being from Breslow thickness ≤1 mm) from 183 patients was thereafter used to estimate the accuracy of the technique.

RESULTS

Observed sensitivity to malignant melanoma is 95% (59/62) and observed specificity 49% (72/148).

CONCLUSIONS

The results suggest that electrical impedance spectra can distinguish between malignant melanoma and benign skin lesions. Although it is indicated that the accuracy of the device is clinically promising, the overall performance, and the sensitivity to thin malignant melanomas, must be improved and thoroughly validated before the instrument can be used as a routine stand-alone diagnostic decision support tool. The technique is under revision to further improve the reproducibility, specificity and sensitivity.

摘要

背景

皮肤癌,尤其是早期恶性黑色素瘤的诊断准确性对于降低其发病率和死亡率至关重要。先前使用电阻抗测量进行的试点研究表明,该方法在皮肤癌检测方面具有统计学意义上的准确性。

目的

本研究旨在使用自动化分类算法,调查电阻抗谱区分恶性黑色素瘤和良性皮肤病变的准确性。

患者/方法:在欧洲 12 家诊所的多中心研究中测量了电阻抗谱。使用 285 个经组织学分析的病变数据来训练算法,以自动检测黑色素瘤。此后,使用另一组 210 个盲法病变(148 种各种良性病变和 62 种恶性黑素瘤,其中 38 种来自 Breslow 厚度≤1mm)的数据从 183 名患者中评估该技术的准确性。

结果

观察到对恶性黑色素瘤的敏感性为 95%(59/62),特异性为 49%(72/148)。

结论

结果表明,电阻抗谱可以区分恶性黑色素瘤和良性皮肤病变。尽管该设备的准确性具有临床应用前景,但在该仪器可作为常规独立诊断决策支持工具使用之前,还需要进一步改进和全面验证其整体性能和对薄型恶性黑色素瘤的敏感性。目前正在对该技术进行修订,以进一步提高其重现性、特异性和敏感性。

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