建立实验性狗跗关节骨关节炎的影像评估分级标准:X 射线和 CT 成像研究。

IF 2.7 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Beomseok Rhee, Changfan Jin, Seo-Hyun Shin, Hojung Choi, Youngwon Lee, Sokho Kim
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引用次数: 0

摘要

背景:本研究旨在为前交叉韧带横断诱导OA小猎犬模型的实验性跗关节骨关节炎(OA)建立图像评估分级标准。结果:结果:共有 32 只狗(8 只对照组和 24 只 OA 诱发组)参加了研究。OA诱发组的手动关节触诊、步态分析和OA严重程度评分均明显高于对照组。基于这两项结果,我们计算了相关系数。手动关节触诊评分与影像诊断结果中的 OA 严重程度之间,以及步态分析评分与 OA 严重程度之间均存在很强的正相关性:结论:基于影像学评估制定的分级标准与临床评估具有相关性。该研究还采用了CT成像技术,以提高跗关节早期OA变化检测的准确性和灵敏度。不过,为了验证和推广这一分级系统,建议进一步开展样本量更大、评估人员更多的研究。这些已建立的图像评估分级标准有助于评估和监测干预措施的效果以及犬类模型中 OA 病变的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of an image evaluation grading criteria for experimental stifle joint osteoarthritis in dogs: an X-ray and CT imaging study.

Background: This study aimed to establish an image evaluation grading criteria for experimental stifle joint osteoarthritis (OA) in anterior cruciate ligament transection induced OA beagle dog models. The severity of OA was assessed using X-ray and computed tomography (CT) imaging.

Results: A total of 32 dogs (8 controls and 24 OA-induced dogs) were included in the study. The OA-induced group showed significantly higher manual joint palpation, gait analysis, and OA severity scores than the control group. Based on these two results, we calculated correlation coefficients. There was a strong positive correlation between manual joint palpation scores and OA severity on diagnostic imaging and between gait analysis scores and OA severity.

Conclusions: The developed grading criteria based on radiographic evaluation correlated with clinical assessments. The study also employed CT imaging to enhance the accuracy and sensitivity of early-stage OA change detection in the stifle joint. However, further studies with larger sample sizes and multiple evaluators are recommended for the validation and generalizability of this grading system. These established image evaluation grading criteria can help evaluate and monitor the efficacy of interventions and changes in OA lesions in canine models.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
32
审稿时长
8 weeks
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