Blundo Alessia, Cignoni Arianna, Banfi Tommaso, Ciuti Gastone
The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy.
Front Med (Lausanne). 2021 Apr 21;8:637069. doi: 10.3389/fmed.2021.637069. eCollection 2021.
Melanoma has the highest mortality rate among skin cancers, and early-diagnosis is essential to maximize survival rate. The current procedure for melanoma diagnosis is based on dermoscopy, i.e., a qualitative visual inspection of lesions with intrinsic limited diagnostic reliability and reproducibility. Other non-invasive diagnostic techniques may represent valuable solutions to retrieve additional objective information of a lesion. This review aims to compare the diagnostic performance of non-invasive techniques, alternative to dermoscopy, for melanoma detection in clinical settings. A systematic review of the available literature was performed using PubMed, Scopus and Google scholar databases (2010-September 2020). All human, , non-invasive studies using techniques, alternative to dermoscopy, for melanoma diagnosis were included with no restriction on the recruited population. The reference standard was histology but dermoscopy was accepted only in case of benign lesions. Attributes of the analyzed studies were compared, and the quality was evaluated using CASP Checklist. For studies in which the investigated technique was implemented as a diagnostic tool (DTA studies), the QUADAS-2 tool was applied. For DTA studies that implemented a melanoma vs. other skin lesions classification task, a meta-analysis was performed reporting the SROC curves. Sixty-two references were included in the review, of which thirty-eight were analyzed using QUADAS-2. Study designs were: clinical trials (13), retrospective studies (10), prospective studies (8), pilot studies (10), multitiered study (1); the remain studies were proof of concept or had undefined study type. Studies were divided in categories based on the physical principle employed by each diagnostic technique. Twenty-nine out of thirty-eight DTA studies were included in the meta-analysis. Heterogeneity of studies' types, testing strategy, and diagnostic task limited the systematic comparison of the techniques. Based on the SROC curves, spectroscopy achieved the best performance in terms of sensitivity (93%, 95% CI 92.8-93.2%) and specificity (85.2%, 95%CI 84.9-85.5%), even though there was high concern regarding robustness of metrics. Reflectance-confocal-microscopy, instead, demonstrated higher robustness and a good diagnostic performance (sensitivity 88.2%, 80.3-93.1%; specificity 65.2%, 55-74.2%). Best practice recommendations were proposed to reduce bias in future DTA studies. Particular attention should be dedicated to widen the use of alternative techniques to conventional dermoscopy.
黑色素瘤在皮肤癌中死亡率最高,早期诊断对于提高生存率至关重要。目前黑色素瘤的诊断程序基于皮肤镜检查,即对病变进行定性目视检查,其内在的诊断可靠性和可重复性有限。其他非侵入性诊断技术可能是获取病变额外客观信息的有价值解决方案。本综述旨在比较临床环境中用于检测黑色素瘤的、替代皮肤镜检查的非侵入性技术的诊断性能。使用PubMed、Scopus和谷歌学术数据库(2010年至2020年9月)对现有文献进行了系统综述。纳入了所有使用替代皮肤镜检查的技术进行黑色素瘤诊断的人体非侵入性研究,对招募人群没有限制。参考标准是组织学,但仅在良性病变的情况下接受皮肤镜检查。比较了分析研究的属性,并使用CASP清单评估质量。对于将所研究技术作为诊断工具实施的研究(诊断准确性研究),应用了QUADAS - 2工具。对于实施黑色素瘤与其他皮肤病变分类任务的诊断准确性研究,进行了荟萃分析并报告了SROC曲线。该综述纳入了62篇参考文献,其中38篇使用QUADAS - 2进行分析。研究设计包括:临床试验(13项)、回顾性研究(10项)、前瞻性研究(8项)、试点研究(10项)、多层研究(1项);其余研究为概念验证或研究类型未明确。研究根据每种诊断技术所采用的物理原理进行分类。38项诊断准确性研究中的29项纳入了荟萃分析。研究类型、测试策略和诊断任务的异质性限制了技术之间的系统比较。根据SROC曲线,光谱学在敏感性(93%,95%可信区间92.8 - 93.2%)和特异性(85.2%,95%可信区间84.9 - 85.5%)方面表现最佳,尽管对指标的稳健性存在高度关注。相反,反射共聚焦显微镜显示出更高的稳健性和良好的诊断性能(敏感性88.2%,80.3 - 93.1%;特异性65.2%,55 - 74.2%)。提出了最佳实践建议以减少未来诊断准确性研究中的偏差。应特别关注扩大替代传统皮肤镜检查技术的使用。