Hontoir Fanny, Clegg Peter, Simon Vincent, Kirschvink Nathalie, Nisolle Jean-Francois, Vandeweerd Jean-Michel
Department of Veterinary Medicine, Integrated Veterinary Research Unit-Namur Research Institute for Life Science (IVRU-NARILIS), Faculty of Sciences, University of Namur, 5000, Namur, Belgium.
Department of Musculoskeletal Biology, Faculty of Health and Life Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Vet Radiol Ultrasound. 2017 Sep;58(5):512-523. doi: 10.1111/vru.12504. Epub 2017 Apr 20.
Articular cartilage defects are one of the features of osteoarthritis in animals and humans. Early detection of cartilage defects is a challenge in clinical veterinary practice and also in translational research studies. An accurate, diagnostic imaging method would be desirable for detecting and following up lesions in specific anatomical regions of the articular surface. The current prospective experimental study aimed to describe the accuracy of computed tomographic arthrography (CTA) for detecting cartilage defects in a common animal model used for osteoarthritis research, the ovine stifle (knee, femoropatellar/femorotibial) joint. Joints in cadaver limbs (n = 42) and in living animals under anesthesia (n = 13) were injected with a contrast medium and imaged using a standardized CT protocol. Gross anatomy and histological assessment of specific anatomic regions were used as a gold standard for the evaluation of sensitivity, specificity, negative predictive value, and positive predictive value for CTA identification of articular cartilage defects in those regions. Pooled estimated sensitivity and specificity were 90.32% and 97.30%, respectively, in cadaver limbs, and 81.82% and 95.24%, respectively, in living animals. Pooled estimated positive predictive value and negative predictive values were 98.25% and 85.71%, respectively, in cadaver limbs, and 81.82% and 95.24%, respectively, in living animals. The delineation of cartilage surface was good for anatomical regions most frequently affected by cartilage defects in the ovine stifle: medial femoral condyle, medial tibial condyle, and patella. This study supported the use of CTA as an imaging technique for detecting and monitoring articular cartilage defects in the ovine stifle joint.
关节软骨缺损是动物和人类骨关节炎的特征之一。在临床兽医实践以及转化研究中,早期检测软骨缺损都是一项挑战。对于检测和追踪关节表面特定解剖区域的病变而言,一种准确的诊断成像方法是很有必要的。当前这项前瞻性实验研究旨在描述计算机断层扫描关节造影(CTA)在一种常用于骨关节炎研究的常见动物模型——绵羊膝关节(股髌/股胫关节)中检测软骨缺损的准确性。向尸体肢体(n = 42)和麻醉状态下的活体动物(n = 13)的关节内注射造影剂,并使用标准化CT方案进行成像。将特定解剖区域的大体解剖和组织学评估作为金标准,用于评估CTA识别这些区域关节软骨缺损的敏感性、特异性、阴性预测值和阳性预测值。在尸体肢体中,合并估计的敏感性和特异性分别为90.32%和97.30%,在活体动物中分别为81.82%和95.24%。在尸体肢体中,合并估计阳性预测值和阴性预测值分别为98.25%和85.71%,在活体动物中分别为81.82%和95.24%。对于绵羊膝关节中最常受软骨缺损影响的解剖区域:股骨内侧髁、胫骨内侧髁和髌骨,软骨表面的描绘效果良好。这项研究支持将CTA用作检测和监测绵羊膝关节关节软骨缺损的成像技术。