PDF(Pubmed)
Abstract：
Kidneys are often targets of systemic vasculitis (SVs), being affected in many different forms and representing a possible sentinel of an underlying multi-organ condition. Renal biopsy still remains the gold standard for the identification, characterization and classification of these diseases, solving complex differential diagnosis thanks to the combined application of light microscopy (LM), immunofluorescence (IF) and electron microscopy (EM). Due to the progressively increasing complexity of renal vasculitis classification systems (e.g. pauci-immune vs immune complex related forms), a clinico-pathological approach is mandatory and adequate technical and interpretative expertise in nephropathology is required to ensure the best standard of care for our patients. In this complex background, the present review aims at summarising the current knowledge and challenges in the world of renal vasculitis, unveiling the potential role of the introduction of digital pathology in this setting, from the creation of hub-spoke networks to the future application of artificial intelligence (AI) tools to aid in the diagnostic and scoring/classification process.
摘要：
肾脏通常是全身性血管炎（SV）的目标，以许多不同的形式受到影响，并代表潜在的多器官疾病的可能前哨。肾活检仍是鉴定的金标准,这些疾病的表征和分类，由于光学显微镜（LM）的联合应用，解决了复杂的鉴别诊断，免疫荧光（IF）和电子显微镜（EM）。由于肾血管炎分类系统的复杂性逐渐增加（例如pauci免疫vs免疫复合物相关形式），临床病理方法是强制性的,并且需要足够的肾病理学技术和解释性专业知识,以确保为我们的患者提供最佳的护理标准.在这个复杂的背景下，本综述旨在总结当前肾血管炎的知识和挑战，揭示了数字病理学在这种环境中的潜在作用，从创建轴辐式网络到人工智能（AI）工具的未来应用，以帮助诊断和评分/分类过程。
