脊椎关节炎的未满足需求:轴性脊椎关节炎的成像
Lianne S Gensler1, Lennart Jans2, Sharmila Majumdar3
1L.S. Gensler, MD, Department of Medicine, Division of Rheumatology, University of California, San Francisco, California, USA; Lianne.gensler@ucsf.edu.
图像化生物标志物对于诊断轴性脊柱关节炎 (axSpA) 是至关重要的. 虽然MRI的进步提高了结构性病变的检测,但将axSpA与其他疾病区分开来需要识别除了骨髓瘤之外的特定变化.
科学领域:
- 放射学 放射学是一门学科.
- 类风湿病学 类风湿病学
- 医疗成像医学成像
背景情况:
- 影像生物标志物是诊断轴性脊椎关节炎 (axSpA) 的关键.
- 像MRI这样的当前方法可以识别疾病活动和结构变化,但在区分axSpA和模仿方面仍然存在挑战.
- 骨髓胀 (BME) 是重要的,但不是特定的,需要识别结构性病变,如侵蚀和化.
研究的目的:
- 提供关于目前和先进的脊椎关节炎 (SpA) 图像技术的概述.
- 讨论放射学,CT和MRI在SPA中的优点,缺点和临床实用性.
- 为了突出新兴的MRI序列和SPA成像中的AI应用.
主要方法:
- 对SPA的X光学,低剂量和双能量CT以及MRI技术的审查.
- 讨论先进的MRI序列:体积插曲的喘息检查 (VIBE),超短回声时间 (USE),零回声时间 (ZTE).
- 探索基于深度学习的合成CT,用于无辐射,类似CT的成像.
主要成果:
- 计算机断层扫描 (CT) 仍然是结构性损伤的参考标准,但先进的MRI现在提供了可比的信息.
- 新的MRI序列和人工智能驱动的合成CT增强了炎症和结构性病变的检测和量化.
- 与先进的成像方式相比,放射性损伤对变化不那么敏感.
结论:
- 先进的MRI和CT技术,包括人工智能,正在提高axSpA诊断的特异性和敏感性.
- 准确识别结构性病变对于差异诊断和监测疾病进展至关重要.
- 通过成像测量病变的量化有助于评估治疗反应和疾病的演变.
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