{"title":"皮肤镜在日常实践中的贡献 甲襞毛细血管镜检查","authors":"Y. Mostmans, B. Richert","doi":"10.1111/jdv.20297","DOIUrl":null,"url":null,"abstract":"<p>We read with great interest the article by Monfort et al.<span><sup>1</sup></span> demonstrating the value of nailfold dermoscopy to predict the absence of a scleroderma pattern on nailfold videocapillaroscopy (NVC) in the work-up for Raynaud's phenomenon (RP).</p><p>This study is valuable for the multidisciplinary microcirculatory community on different levels. Firstly, it suggests an easy-to-use screening tool for different specialists to exclude secondary RP, based on four <i>‘simple’</i> dermoscopy criteria. Dermoscopy has been shown in previous studies to be a suitable device for performing nailfold capillaroscopy. It has a reasonable cost and is easier to use than other devices such as a photomacrography system, stereomicroscope, digital USB microscope, ophthalmoscope or NVC. Secondly, commercially available image analysis software is currently limited to video capillaroscopes, allowing a standardized approach to analyse capillaroscopic characteristics and use in a research setting. This study emphasizes the advantages of dermoscopy and the difference we, as dermatologists accustomed to using and interpreting dermoscopy images, can make economically. These results underline the need for a more practical point of view in differentiating primary from secondary RP. The evolving landscape of artificial intelligence (AI) applications in dermatological diagnostics will certainly expand the future use of dermoscopy in the daily clinical work-up of RP.</p><p>Thirdly, this study also exposes several gaps in knowledge and controversies regarding the position of dermatoscopy in diagnosing connective tissue diseases. Because of its good validity and inter- and intra-observer reliability, it is suggested to be a useful tool for identifying capillary abnormalities suggestive of a scleroderma-spectrum disorder, comparable to NVC.<span><sup>2</sup></span> It is even proposed as part of the rheumatology fellow curriculum.<span><sup>3</sup></span> Nevertheless, Monfort et al. clearly show in their study that dermoscopy has still poor specificity to detect capillary abnormalities.</p><p>In conclusion, this study shows that normal nailfold dermoscopy can predict normal NVC if four easy-to-observe criteria are absent, but also displays poor specificity for dermoscopy to detect capillary abnormalities, in contrast to previous literature. Differences in definitions between studies can explain different outcomes. AI could be a solution for a more accurate dermoscopy analysis in RP work-up in the future.</p><p>Yora Mostmans and Bertrand Richert declares no conflict of interest in relation to this work.</p>","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":"38 10","pages":"1842-1843"},"PeriodicalIF":8.4000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jdv.20297","citationCount":"0","resultStr":"{\"title\":\"Contributions of dermoscopy in daily practice nailfold capillaroscopy\",\"authors\":\"Y. Mostmans, B. 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Secondly, commercially available image analysis software is currently limited to video capillaroscopes, allowing a standardized approach to analyse capillaroscopic characteristics and use in a research setting. This study emphasizes the advantages of dermoscopy and the difference we, as dermatologists accustomed to using and interpreting dermoscopy images, can make economically. These results underline the need for a more practical point of view in differentiating primary from secondary RP. The evolving landscape of artificial intelligence (AI) applications in dermatological diagnostics will certainly expand the future use of dermoscopy in the daily clinical work-up of RP.</p><p>Thirdly, this study also exposes several gaps in knowledge and controversies regarding the position of dermatoscopy in diagnosing connective tissue diseases. Because of its good validity and inter- and intra-observer reliability, it is suggested to be a useful tool for identifying capillary abnormalities suggestive of a scleroderma-spectrum disorder, comparable to NVC.<span><sup>2</sup></span> It is even proposed as part of the rheumatology fellow curriculum.<span><sup>3</sup></span> Nevertheless, Monfort et al. clearly show in their study that dermoscopy has still poor specificity to detect capillary abnormalities.</p><p>In conclusion, this study shows that normal nailfold dermoscopy can predict normal NVC if four easy-to-observe criteria are absent, but also displays poor specificity for dermoscopy to detect capillary abnormalities, in contrast to previous literature. Differences in definitions between studies can explain different outcomes. AI could be a solution for a more accurate dermoscopy analysis in RP work-up in the future.</p><p>Yora Mostmans and Bertrand Richert declares no conflict of interest in relation to this work.</p>\",\"PeriodicalId\":17351,\"journal\":{\"name\":\"Journal of the European Academy of Dermatology and Venereology\",\"volume\":\"38 10\",\"pages\":\"1842-1843\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jdv.20297\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the European Academy of Dermatology and Venereology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jdv.20297\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the European Academy of Dermatology and Venereology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jdv.20297","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
我们饶有兴趣地阅读了 Monfort 等人1 的文章,该文证明了甲襞皮肤镜检查对预测甲襞视频毛细血管镜(NVC)上无硬皮病模式在雷诺现象(RP)检查中的价值。首先,该研究基于四项 "简单 "的皮肤镜标准,为不同专科医生提供了一种易于使用的筛查工具,以排除继发性雷诺现象。以往的研究表明,皮肤镜是进行甲襞毛细血管镜检查的合适设备。与其他设备(如照相制图系统、体视显微镜、数字 USB 显微镜、眼底镜或 NVC)相比,皮肤镜成本合理,使用方便。其次,目前市售的图像分析软件仅限于视频毛细血管镜,因此可以采用标准化方法分析毛细血管镜的特征并在研究环境中使用。这项研究强调了皮肤镜的优势,以及作为习惯于使用和解读皮肤镜图像的皮肤科医生,我们可以在经济上带来的不同。这些结果突出表明,在区分原发性和继发性 RP 时,需要从更实用的角度出发。人工智能(AI)在皮肤病诊断领域的应用不断发展,必将扩大皮肤镜在RP日常临床工作中的应用。由于其良好的有效性以及观察者之间和观察者内部的可靠性,皮肤镜被认为是识别提示硬皮病谱系疾病的毛细血管异常的有用工具,可与 NVC 相媲美。总之,本研究表明,如果不具备四项易于观察的标准,正常的甲沟皮肤镜检查可以预测正常的 NVC,但皮肤镜检查发现毛细血管异常的特异性较差,这与之前的文献不同。不同研究之间定义的差异可以解释不同的结果。人工智能可能是未来在RP检查中进行更准确的皮肤镜分析的一种解决方案。
Contributions of dermoscopy in daily practice nailfold capillaroscopy
We read with great interest the article by Monfort et al.1 demonstrating the value of nailfold dermoscopy to predict the absence of a scleroderma pattern on nailfold videocapillaroscopy (NVC) in the work-up for Raynaud's phenomenon (RP).
This study is valuable for the multidisciplinary microcirculatory community on different levels. Firstly, it suggests an easy-to-use screening tool for different specialists to exclude secondary RP, based on four ‘simple’ dermoscopy criteria. Dermoscopy has been shown in previous studies to be a suitable device for performing nailfold capillaroscopy. It has a reasonable cost and is easier to use than other devices such as a photomacrography system, stereomicroscope, digital USB microscope, ophthalmoscope or NVC. Secondly, commercially available image analysis software is currently limited to video capillaroscopes, allowing a standardized approach to analyse capillaroscopic characteristics and use in a research setting. This study emphasizes the advantages of dermoscopy and the difference we, as dermatologists accustomed to using and interpreting dermoscopy images, can make economically. These results underline the need for a more practical point of view in differentiating primary from secondary RP. The evolving landscape of artificial intelligence (AI) applications in dermatological diagnostics will certainly expand the future use of dermoscopy in the daily clinical work-up of RP.
Thirdly, this study also exposes several gaps in knowledge and controversies regarding the position of dermatoscopy in diagnosing connective tissue diseases. Because of its good validity and inter- and intra-observer reliability, it is suggested to be a useful tool for identifying capillary abnormalities suggestive of a scleroderma-spectrum disorder, comparable to NVC.2 It is even proposed as part of the rheumatology fellow curriculum.3 Nevertheless, Monfort et al. clearly show in their study that dermoscopy has still poor specificity to detect capillary abnormalities.
In conclusion, this study shows that normal nailfold dermoscopy can predict normal NVC if four easy-to-observe criteria are absent, but also displays poor specificity for dermoscopy to detect capillary abnormalities, in contrast to previous literature. Differences in definitions between studies can explain different outcomes. AI could be a solution for a more accurate dermoscopy analysis in RP work-up in the future.
Yora Mostmans and Bertrand Richert declares no conflict of interest in relation to this work.
期刊介绍:
The Journal of the European Academy of Dermatology and Venereology (JEADV) is a publication that focuses on dermatology and venereology. It covers various topics within these fields, including both clinical and basic science subjects. The journal publishes articles in different formats, such as editorials, review articles, practice articles, original papers, short reports, letters to the editor, features, and announcements from the European Academy of Dermatology and Venereology (EADV).
The journal covers a wide range of keywords, including allergy, cancer, clinical medicine, cytokines, dermatology, drug reactions, hair disease, laser therapy, nail disease, oncology, skin cancer, skin disease, therapeutics, tumors, virus infections, and venereology.
The JEADV is indexed and abstracted by various databases and resources, including Abstracts on Hygiene & Communicable Diseases, Academic Search, AgBiotech News & Information, Botanical Pesticides, CAB Abstracts®, Embase, Global Health, InfoTrac, Ingenta Select, MEDLINE/PubMed, Science Citation Index Expanded, and others.