Lab Anim Res.  2023 Dec;39(4):395-401. 10.1186/s42826-023-00186-z.

Establishment of an image evaluation grading criteria for experimental stifle joint osteoarthritis in dogs: an X‑ray and CT imaging study

Affiliations
  • 1Research Center, HLB BioStep Co., Ltd., Incheon 22014, Republic of Korea
  • 2Department of Veterinary Medical Imaging, College of Veterinary Medicine, Chungnam National University, Daejeon, Republic of Korea

Abstract

Background
This study aimed to establish an image evaluation grading criteria for experimental stifle joint osteoar‑ thritis (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 detec‑ tion 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.

Keyword

Osteoarthritis model; Image evaluation grading criteria; Dog; Stifle joint
Full Text Links
  • LAR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr