PDF(Pubmed)
Abstract：
Neuroimaging has a key role in identifying small-vessel vasculitis from common diseases it mimics, such as multiple sclerosis. Oftentimes, a multitude of these conditions present similarly, and thus diagnosis is difficult. To date, there is no standardized method to differentiate between these diseases. This review identifies and presents existing scoring tools that could serve as a starting point for integrating artificial intelligence/machine learning (AI/ML) into the clinical decision-making process for these rare diseases. A scoping literature review of EMBASE and MEDLINE included 114 articles to evaluate what criteria exist to diagnose small-vessel vasculitis and common mimics. This paper presents the existing criteria of small-vessel vasculitis conditions and mimics them to guide the future integration of AI/ML algorithms to aid in diagnosing these conditions, which present similarly and non-specifically.
摘要：
神经影像学在识别小血管血管炎与它所模仿的常见疾病中具有关键作用，如多发性硬化症。通常,许多这些条件同样存在，因此诊断是困难的。迄今为止,没有标准化的方法来区分这些疾病。这篇综述确定并介绍了现有的评分工具，这些工具可以作为将人工智能/机器学习（AI/ML）整合到这些罕见疾病的临床决策过程中的起点。EMBASE和MEDLINE的范围研究文献综述包括114篇文章，以评估诊断小血管血管炎和常见模拟物的标准。本文介绍了小血管血管炎的现有标准，并对其进行了模拟，以指导AI/ML算法的未来整合，以帮助诊断这些疾病。它们以类似和非特定的方式存在。
