关节软骨-从基础科学结构成像到非侵入性临床定量分子功能信息,用于AI分类和预测
Bodo Kurz1, Thomas Lange2, Marita Voelker3
1Department of Anatomy, Christian-Albrechts-University, Otto-Hahn-Platz 8, 24118 Kiel, Germany.
International journal of molecular sciences
|October 14, 2023
概括
关节软骨成像已经发展到非侵入性检测早期骨关节炎 (OA) 使用定量,AI分析的生物标志物. 这种转变使得早期的疾病检测和潜在的干预措施可以改善患者的治疗结果.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 整形外科 整形外科 整形外科
- 人工智能在医学中的应用
背景情况:
- 关节软骨成像已经从结构评估过渡到功能,定量分析.
- 早期发现骨关节炎 (OA) 和创伤后骨关节炎 (PTOA) 需要先进的成像技术.
- 目前的预期主要集中在用于临床前疾病分期的非侵入性方法上.
研究的目的:
- 审查近几十年来关节软骨成像方面的进展.
- 要突出转向量化,功能描述成像用于早期OA检测的转变.
- 总结各种非破坏性成像模式和AI在软骨评估中的应用.
主要方法:
- 在关节软骨中对分子成像目标的审查.
- 关于软骨组成和微观结构的定量磁共振成像 (MRI) 的总结.
- 讨论非破坏性的定量实时成像方法.
- 人工智能 (AI) 的概述用于OA退化分类和进展预测.
- 使用数字组织架构指纹进行早期疾病检测的AI支持的光学活检的演示.
主要成果:
- 关节软骨成像现在强调生成AI可用的生物标志物.
- 非侵入性,定量功能信息正在成为诊断成像的核心.
- 人工智能在分类退化和预测OA进展方面发挥着至关重要的作用.
- 新型人工智能支持的光学活检为早期检测提供了数字组织架构指纹.
结论:
- 关节软骨成像在目的和期望方面发生了深刻的变化.
- 图像正在演变为AI可用的生物标志物,提供定量功能洞察力.
- 这些进展可能会促进转化诊断应用和OA的早期治疗干预.
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