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血管炎和闭塞性血管病、识别组织病理学模式的挑战及其解决方案。

Vasculitides and occluding vasculopathies, challenges in recognizing histopathological patterns, and their solutions.

作者信息

Wilk Michael, Zelger Bettina G, Zelger Bernhard

机构信息

Private Dermatohistological Laboratory, Nuremberg, Germany.

Institute of Pathology, Medical University Innsbruck, Innsbruck, Austria.

出版信息

Front Med (Lausanne). 2023 Feb 1;9:994450. doi: 10.3389/fmed.2022.994450. eCollection 2022.

Abstract

In this review, we propose a classification of vasculitides and occluding vasculopathies using the clinicopathological correlation as the basic process. We use an algorithmic approach with pattern analysis, which allows reliable reporting of microscopic findings. We first differentiate between small and medium vessel vasculitis. Second, we differentiate the subtypes of small- and medium-sized vessels. Finally, we differentiate vasculitides according to the predominant cell type into leukocytoclastic and/or granulomatous vasculitis. Regarding leukocytoclastic vasculitis as a central reaction pattern of cutaneous small/medium vessel vasculitides, its relation or variations may be arranged in a wheel-like order. With respect to occluding vasculopathies, the first two steps are identical to the algorithm of vasculitides, and we finally differentiate according to the time point of the coagulation/reorganization process and the involved inflammatory cells/stromal features. By visualizing the criteria in the style of bar codes, clinical and histological overlaps and differences may become more transparent.

摘要

在本综述中,我们提出了一种以临床病理相关性为基本过程的血管炎和闭塞性血管病分类方法。我们采用基于模式分析的算法方法,以便可靠地报告微观发现。我们首先区分小血管炎和中血管炎。其次,我们区分小血管和中血管的亚型。最后,我们根据主要细胞类型将血管炎分为白细胞破碎性和/或肉芽肿性血管炎。将白细胞破碎性血管炎视为皮肤小/中血管炎的核心反应模式,其关系或变异可按轮状顺序排列。对于闭塞性血管病,前两个步骤与血管炎的算法相同,我们最终根据凝血/重组过程的时间点以及所涉及的炎症细胞/基质特征进行区分。通过以条形码的形式直观呈现标准,临床和组织学上的重叠与差异可能会变得更加清晰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ca/9929945/c87f0fd7967f/fmed-09-994450-g001.jpg

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