arXiv 2408.162772024-08-29eess.IVcs.CV

基于光学相干断层扫描血管成像的鲜红斑痣细粒度分类

Fine-grained Classification of Port Wine Stains Using Optical Coherence Tomography Angiography

The Chinese University of Hong Kong（香港中文大学）；Beijing Institute of Technology（北京理工大学）；Chinese PLA General Hospital（中国人民解放军总医院）

Xiaofeng Deng, Defu Chen, Bowen Liu, Xiwan Zhang, Haixia Qiu, Wu Yuan, Hongliang Ren

备注：: This work has been submitted to the IEEE for possible publication

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AI总结：

本文针对鲜红斑痣现有外观分类与血管病理异质性脱节的问题，提出基于OCT和OCTA的五型细粒度分类方法，并通过六项血管形态与深度指标验证其显著差异，首次实现基于血管病理学的PWS分类。

摘要：

鲜红斑痣（PWS，一种出生时即存在的血管畸形）的准确分类对于后续治疗方案的制定至关重要。然而，目前基于皮肤外观对PWS进行分类的方法很少能反映PWS病灶深层的血管病理异质性，导致常用的血管靶向光动力疗法（V-PDT）治疗效果不一致。相比之下，光学相干断层扫描血管成像（OCTA）是可视化PWS血管畸形的理想工具。既往研究表明，OCTA定量指标与当前分类方法所确定的PWS亚型之间无显著相关性。本研究提出了一种同时使用OCT和OCTA的PWS新分类方法。通过观察PWS的皮下组织病理学和血管结构，我们设计了一种细粒度分类方法，将PWS细分为五种不同类型。为评估不同PWS亚型的血管病理差异，我们分析了与PWS病灶血管形态和深度信息相关的六项指标。与传统亚型相比，五种PWS类型在所有指标上均表现出显著差异。我们的研究结果表明，基于血管病理学的分类能够准确反映PWS病灶的异质性。本研究是首次尝试基于血管病理学对PWS进行分类，有望为PWS的更有效亚型划分和治疗策略提供指导。

英文摘要：

Accurate classification of port wine stains (PWS, vascular malformations present at birth), is critical for subsequent treatment planning. However, the current method of classifying PWS based on the external skin appearance rarely reflects the underlying angiopathological heterogeneity of PWS lesions, resulting in inconsistent outcomes with the common vascular-targeted photodynamic therapy (V-PDT) treatments. Conversely, optical coherence tomography angiography (OCTA) is an ideal tool for visualizing the vascular malformations of PWS. Previous studies have shown no significant correlation between OCTA quantitative metrics and the PWS subtypes determined by the current classification approach. This study proposes a new classification approach for PWS using both OCT and OCTA. By examining the hypodermic histopathology and vascular structure of PWS, we have devised a fine-grained classification method that subdivides PWS into five distinct types. To assess the angiopathological differences of various PWS subtypes, we have analyzed six metrics related to vascular morphology and depth information of PWS lesions. The five PWS types present significant differences across all metrics compared to the conventional subtypes. Our findings suggest that an angiopathology-based classification accurately reflects the heterogeneity in PWS lesions. This research marks the first attempt to classify PWS based on angiopathology, potentially guiding more effective subtyping and treatment strategies for PWS.

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