Saukko Annina E A, Nykänen Olli, Sarin Jaakko K, Nissi Mikko J, Te Moller Nikae C R, Weinans Harrie, Mancini Irina A D, Visser Jetze, Brommer Harold, van Weeren P Réné, Malda Jos, Grinstaff Mark W, Töyräs Juha
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Department of Medical Physics, Turku University Hospital, Turku, Finland.
J Orthop Res. 2022 Mar;40(3):703-711. doi: 10.1002/jor.25066. Epub 2021 May 12.
To prevent the progression of posttraumatic osteoarthritis, assessment of cartilage composition is critical for effective treatment planning. Posttraumatic changes include proteoglycan (PG) loss and elevated water content. Quantitative dual-energy computed tomography (QDECT) provides a means to diagnose these changes. Here, we determine the potential of QDECT to evaluate tissue quality surrounding cartilage lesions in an equine model, hypothesizing that QDECT allows detection of posttraumatic degeneration by providing quantitative information on PG and water contents based on the partitions of cationic and nonionic agents in a contrast mixture. Posttraumatic osteoarthritic samples were obtained from a cartilage repair study in which full-thickness chondral defects were created surgically in both stifles of seven Shetland ponies. Control samples were collected from three nonoperated ponies. The experimental (n = 14) and control samples (n = 6) were immersed in the contrast agent mixture and the distributions of the agents were determined at various diffusion time points. As a reference, equilibrium moduli, dynamic moduli, and PG content were measured. Significant differences (p < 0.05) in partitions between the experimental and control samples were demonstrated with cationic contrast agent at 30 min, 60 min, and 20 h, and with non-ionic agent at 60 and 120 min. Significant Spearman's rank correlations were obtained at 20 and 24 h (ρ = 0.482-0.693) between the partition of cationic contrast agent, cartilage biomechanical properties, and PG content. QDECT enables evaluation of posttraumatic changes surrounding a lesion and quantification of PG content, thus advancing the diagnostics of the extent and severity of cartilage injuries.
为防止创伤后骨关节炎的进展,评估软骨成分对于有效的治疗规划至关重要。创伤后的变化包括蛋白聚糖(PG)丢失和含水量升高。定量双能计算机断层扫描(QDECT)提供了一种诊断这些变化的方法。在此,我们确定QDECT在马模型中评估软骨损伤周围组织质量的潜力,假设QDECT能够通过基于造影剂混合物中阳离子和非离子剂的分配提供关于PG和含水量的定量信息来检测创伤后退变。创伤后骨关节炎样本取自一项软骨修复研究,该研究中对7匹设得兰矮种马的双侧膝关节进行了手术造成全层软骨缺损。对照样本取自3匹未手术的矮种马。将实验样本(n = 14)和对照样本(n = 6)浸入造影剂混合物中,并在不同扩散时间点确定造影剂的分布。作为参考,测量了平衡模量、动态模量和PG含量。在30分钟、60分钟和20小时时,阳离子造影剂以及在60分钟和120分钟时非离子造影剂在实验样本和对照样本之间的分配存在显著差异(p < 0.05)。在20小时和24小时时,阳离子造影剂的分配、软骨生物力学特性和PG含量之间获得了显著的斯皮尔曼等级相关性(ρ = 0.482 - 0.693)。QDECT能够评估损伤周围的创伤后变化并定量PG含量,从而推进软骨损伤程度和严重性的诊断。