The Diagnosis and Treatment Technology of Port-Wine Stain, and the Prospect of Future Treatment

葡萄酒色斑的诊断和治疗技术及其未来治疗展望

阅读:3

Abstract

Port-wine stain (PWS) is a congenital capillary malformation with a 0.3-0.5% prevalence. This article reviews key techniques and advancements in the diagnosis and treatment of PWS. For assessment, several noninvasive diagnostic techniques were analyzed, including dermoscopy, high-frequency ultrasound, photoacoustic imaging, optical coherence tomography (OCT), laser speckle contrast imaging, the VISIA-CR™ system, and reflectance confocal microscopy. These methods were evaluated on the basis of factors such as vascular morphology (e.g., point, spherical, linear, grid vessels, vessel diameter, vessel wall thickness, etc.), depth of penetration, real-time blood flow monitoring, and quantitative analysis of hemoglobin. However, these noninvasive diagnostic methods share common limitations, such as restricted penetration depth, varying operator dependency, challenges in real-time quantitative analysis, and subjective interpretation in some modalities. In terms of treatment, pulsed dye laser (PDL) therapy remains the clinical gold standard for managing PWS. However, there are now additional options available, including alexandrite laser (755 nm), neodymium-doped yttrium aluminum garnet laser (1064 nm Nd:YAG), and intense pulsed light (IPL), and various other treatment strategies that cater to different characteristics of PWS. Nonetheless, efficacy can be limited by the depth of the blood vessels and individual variability. Photodynamic therapy, which targets the vascular endothelium using photosensitizers, is more effective but also more expensive. Recently, the incorporation of artificial intelligence and deep learning technology holds promise for improving the accuracy of diagnosis and personalization of PWS treatment. This represents a significant direction for future development in this field.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。