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使用非侵入性技术进行皮肤癌检测。

Skin cancer detection using non-invasive techniques.

作者信息

Narayanamurthy Vigneswaran, Padmapriya P, Noorasafrin A, Pooja B, Hema K, Firus Khan Al'aina Yuhainis, Nithyakalyani K, Samsuri Fahmi

机构信息

InnoFuTech No: 42/12, 7th Street, Vallalar Nagar, Pattabiram Chennai Tamil Nadu 600072 India

Faculty of Electrical and Electronics Engineering, University Malaysia Pahang Pekan 26600 Malaysia.

出版信息

RSC Adv. 2018 Aug 6;8(49):28095-28130. doi: 10.1039/c8ra04164d. eCollection 2018 Aug 2.

DOI:10.1039/c8ra04164d
PMID:35542700
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9084287/
Abstract

Skin cancer is the most common form of cancer and is globally rising. Historically, the diagnosis of skin cancers has depended on various conventional techniques which are of an invasive manner. A variety of commercial diagnostic tools and auxiliary techniques are available to detect skin cancer. This article explains in detail the principles and approaches involved for non-invasive skin cancer diagnostic methods such as photography, dermoscopy, sonography, confocal microscopy, Raman spectroscopy, fluorescence spectroscopy, terahertz spectroscopy, optical coherence tomography, the multispectral imaging technique, thermography, electrical bio-impedance, tape stripping and computer-aided analysis. The characteristics of an ideal screening test are outlined, and the authors pose several points for clinicians and scientists to consider in the evaluation of current and future studies of skin cancer detection and diagnosis. This comprehensive review critically analyses the literature associated with the field and summarises the recent updates along with their merits and demerits.

摘要

皮肤癌是最常见的癌症形式,且在全球范围内呈上升趋势。从历史上看,皮肤癌的诊断依赖于各种具有侵入性的传统技术。现在有多种商业诊断工具和辅助技术可用于检测皮肤癌。本文详细解释了非侵入性皮肤癌诊断方法(如摄影、皮肤镜检查、超声检查、共聚焦显微镜检查、拉曼光谱、荧光光谱、太赫兹光谱、光学相干断层扫描、多光谱成像技术、热成像、电阻抗、胶带剥离和计算机辅助分析)所涉及的原理和方法。概述了理想筛查测试的特征,作者提出了几点供临床医生和科学家在评估当前和未来皮肤癌检测与诊断研究时考虑。这篇全面的综述批判性地分析了与该领域相关的文献,并总结了最新进展及其优缺点。

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1
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2
Peri-operative delineation of non-melanoma skin cancer margins in vivo with handheld reflectance confocal microscopy and video-mosaicking.术中应用手持反射共聚焦显微镜和视频拼接技术对非黑素瘤皮肤癌边缘进行描绘。
J Eur Acad Dermatol Venereol. 2019 Jun;33(6):1084-1091. doi: 10.1111/jdv.15491. Epub 2019 Mar 15.
3
Confocal Microscopy in Skin Cancer.
使用先进的自适应微调卷积神经网络进行黑色素瘤和非黑色素瘤皮肤癌的自动诊断。
Discov Oncol. 2025 Apr 30;16(1):645. doi: 10.1007/s12672-025-02279-8.
4
Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.基于机器学习对在人体皮肤上采集的空间分辨漫反射和自体荧光光谱进行分类,以辅助光化性角化病和皮肤癌的诊断。
J Biomed Opt. 2025 Mar;30(3):035001. doi: 10.1117/1.JBO.30.3.035001. Epub 2025 Mar 4.
5
Skin cancer detection using dermoscopic images with convolutional neural network.使用卷积神经网络通过皮肤镜图像进行皮肤癌检测。
Sci Rep. 2025 Mar 1;15(1):7252. doi: 10.1038/s41598-025-91446-6.
6
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7
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