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Animals : an open access journal from MDPI2026; 16(10); 1566; doi: 10.3390/ani16101566

Accuracy of Computed Tomography in Diagnosing Temporomandibular Joint Osteoarthritis Relative to Histopathological Findings-An Ex Vivo Study of 41 Horses.

Abstract: Computed tomography (CT) is used to support the diagnosis of equine temporomandibular joint (TMJ) disease; however, its diagnostic accuracy remains unclear. This study aimed to evaluate the relationship between CT findings and histopathological manifestations of osteoarthritis (OA) in equine TMJs. A total of 82 TMJs were CT-imaged, sampled, grouped into age-related and OA-related groups, and analyzed for frequency distributions, correlations, and CT-based TMJ OA diagnosis. CT findings were observed in 79% of joints, including 'CT anatomical variations' considering to reflect age-related remodeling. Only 50% of joints showed co-occurrence of CT findings and histopathological manifestations of OA, confirming that not all CT findings are indicative of disease. Including all CT findings in the CT-based diagnosis of TMJ OA yielded a specificity of 0.41 (95% CI: 0.26-0.58), suggesting a high rate of false-positive diagnoses. Excluding all 'CT anatomical variations' resulted in a sensitivity of 0.56 (95% CI: 0.40-0.72), indicating a substantial number of false-negative diagnoses. However, inclusion of specific 'CT anatomical variation'-subchondral bone cysts-into the studied CT-based diagnosis increased sensitivity to 0.79 (95% CI: 0.62 to 0.89) while maintaining high specificity of 0.92 (95% CI: 0.80-0.98). Including this subset of CT findings in the diagnosis of equine TMJ OA may improve the accuracy of disease detection; however, the clinical relevance of the present cadaver investigation needs to be confirmed in in vivo studies.
Publication Date: 2026-05-21 PubMed ID: 42193857DOI: 10.3390/ani16101566Google Scholar: Lookup
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  • Journal Article

Summary

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Overview

  • This research evaluated how accurately computed tomography (CT) can diagnose osteoarthritis (OA) in the temporomandibular joints (TMJ) of horses by comparing CT imaging results to histopathological findings (microscopic tissue analysis).
  • The study found that certain CT findings commonly attributed to OA may actually represent normal age-related joint changes, affecting the accuracy of using CT alone to diagnose TMJ OA in horses.

Background and Purpose

  • Computed tomography (CT) is an imaging technique used to visualize internal structures, including joints, to identify disease.
  • In equine veterinary medicine, CT is employed to assist in diagnosing temporomandibular joint (TMJ) diseases such as osteoarthritis (OA), a degenerative joint condition causing cartilage and bone damage.
  • However, the accuracy of CT in correctly diagnosing TMJ OA relative to the gold standard—histopathological examination—had not been definitively established prior to this study.
  • The purpose was to assess whether CT findings reliably correlate with actual OA changes seen in tissue samples from the joints.

Methods

  • A sample of 82 TMJs taken from 41 horses was used in this ex vivo (outside the living organism) study.
  • Each joint underwent CT imaging to identify abnormalities within the joint structures.
  • Following imaging, the joints were sampled for histopathology, allowing microscopic examination of joint tissue to confirm presence or absence of OA.
  • The horses and their joints were classified into groups based on age-related changes or OA-related changes observed histologically and radiologically.
  • Statistical analysis was performed to evaluate:
    • The frequency of CT findings in all joints.
    • Correlations between CT findings and histopathological diagnosis of OA.
    • Diagnostic performance (sensitivity and specificity) of CT in detecting TMJ OA under different criteria.

Key Findings

  • CT abnormalities were detected in 79% of the joints examined.
  • A substantial number of CT findings were classified as ‘CT anatomical variations,’ which are likely related to normal age-associated joint remodeling rather than disease.
  • Only 50% of joints showing CT abnormalities also demonstrated histopathological signs of OA, indicating many CT findings do not correspond to actual disease.
  • When all CT findings were considered indicative of OA (even those reflecting normal anatomical variation), the specificity was low (0.41), meaning many false positives were diagnosed.
  • Excluding all anatomical variations from CT criteria to improve specificity led to lower sensitivity (0.56), causing many false negatives where OA was missed.
  • A compromise was found by including one particular anatomical variation—subchondral bone cysts—as a sign of OA on CT scans:
    • This approach increased sensitivity to 0.79, meaning more true cases of OA were detected.
    • Specificity also remained high at 0.92, reducing false positives significantly.

Conclusions and Implications

  • Not all CT changes in equine TMJs represent osteoarthritic disease; some reflect normal aging or remodeling.
  • CT alone, if interpreted strictly by presence of any abnormality, tends to overdiagnose TMJ OA due to false positives.
  • Conversely, excluding all subtle anatomical variations risks missing cases of OA, leading to false negatives.
  • Including subchondral bone cysts as a diagnostic criterion for TMJ OA on CT improves diagnostic accuracy by balancing sensitivity and specificity.
  • Since this study was conducted on cadaver samples, the clinical applicability and diagnostic performance of these criteria need to be validated in live horses (in vivo studies).
  • This information can guide veterinarians in more accurate interpretation of TMJ CTs, potentially improving diagnosis and treatment decisions for equine TMJ OA.

Cite This Article

APA
Jasiński T, Zdrojkowski Ł, Turek B, Kaczorowski M, Pawliński B, Brehm W, Domino M. (2026). Accuracy of Computed Tomography in Diagnosing Temporomandibular Joint Osteoarthritis Relative to Histopathological Findings-An Ex Vivo Study of 41 Horses. Animals (Basel), 16(10), 1566. https://doi.org/10.3390/ani16101566

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 16
Issue: 10
PII: 1566

Researcher Affiliations

Jasiński, Tomasz
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Zdrojkowski, Łukasz
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Turek, Bernard
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Kaczorowski, Michał
  • Private Equine Practice, 05-825 Grodzisk Mazowiecki, Poland.
Pawliński, Bartosz
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Brehm, Walter
  • Department for Horses, Veterinary Teaching Hospital, University of Leipzig, 04103 Leipzig, Germany.
Domino, Małgorzata
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.

Citations

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