深入了解用于定量评估膝关节骨关节炎软骨损伤的最新磁共振成像技术。

IF 5.7 2区 医学 Q1 RHEUMATOLOGY
Current Rheumatology Reports Pub Date : 2024-09-01 Epub Date: 2024-05-29 DOI:10.1007/s11926-024-01152-x
Peng Luo, Li Lu, Run Xu, Lei Jiang, Guanwu Li
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引用次数: 0

摘要

综述目的:膝骨关节炎(KOA)导致软骨逐渐退化,通过磁共振成像检查形态学、生化成分和微组织改变,讨论临床优势、局限性和研究适用性:最近的发现:成分磁共振成像,如 T2/T2* 映像、T1rho 映像、gagCEST、dGEMRIC、钠成像、扩散加权成像和扩散张量成像,为 KOA 中的软骨损伤提供了洞察力。这些方法可定量测量胶原蛋白、糖胺聚糖和水的含量,揭示生化成分和微结构改变的重要信息。混合多维核磁共振成像和弥散-松弛相关频谱成像等创新技术显示了在亚体素水平描述软骨初始变化的潜力。自动图像分析工具的整合解决了人工软骨分割的局限性,确保了对KOA软骨进行稳健且可重复的评估。合成磁共振成像技术揭示了软骨的微观结构变化。多维核磁共振成像可评估受 KOA 影响的软骨的生化变化,有助于早期识别退化。人工智能的整合增强了软骨分析,为早期 KOA 检测和监测提供了最佳诊断准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gaining Insight into Updated MR Imaging for Quantitative Assessment of Cartilage Injury in Knee Osteoarthritis.

Gaining Insight into Updated MR Imaging for Quantitative Assessment of Cartilage Injury in Knee Osteoarthritis.

Purpose of the review: Knee Osteoarthritis (KOA) entails progressive cartilage degradation, reviewed via MRI for morphology, biochemical composition, and microtissue alterations, discussing clinical advantages, limitations, and research applicability.

Recent findings: Compositional MRI, like T2/T2* mapping, T1rho mapping, gagCEST, dGEMRIC, sodium imaging, diffusion-weighted imaging, and diffusion-tensor imaging, provide insights into cartilage injury in KOA. These methods quantitatively measure collagen, glycosaminoglycans, and water content, revealing important information about biochemical compositional and microstructural alterations. Innovative techniques like hybrid multi-dimensional MRI and diffusion-relaxation correlation spectrum imaging show potential in depicting initial cartilage changes at a sub-voxel level. Integration of automated image analysis tools addressed limitations in manual cartilage segmentation, ensuring robust and reproducible assessments of KOA cartilage. Compositional MRI techniques reveal microstructural changes in cartilage. Multi-dimensional MR imaging assesses biochemical alterations in KOA-afflicted cartilage, aiding early degeneration identification. Integrating artificial intelligence enhances cartilage analysis, optimal diagnostic accuracy for early KOA detection and monitoring.

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来源期刊
CiteScore
11.20
自引率
0.00%
发文量
41
期刊介绍: This journal aims to review the most important, recently published research in the field of rheumatology. By providing clear, insightful, balanced contributions by international experts, the journal intends to serve all those involved in the care and prevention of rheumatologic conditions. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas such as the many forms of arthritis, osteoporosis and metabolic bone disease, and systemic lupus erythematosus. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also occasionally provided.
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