Comparison of cone-beam and fan-beam computed tomography and low-field magnetic resonance imaging for detection of proximal phalanx dorsoproximal osteochondral defects.
Abstract: Dorsoproximal osteochondral defects commonly affect the proximal phalanx, but information about diagnosis on computed tomography (CT) and magnetic resonance imaging (MRI) is limited. Objective: To assess CT and MRI diagnoses of osteochondral defects, describe the lesions and compare sensitivity and specificity of the modalities using macroscopic pathology as gold standard. Methods: Cross-sectional study. Methods: Thirty-five equine cadaver limbs underwent standing cone-beam CT (CBCT), fan-beam CT (FBCT), low-field MRI and pathological examination. CT and MR images were examined for proximal phalanx dorsomedial and dorsolateral eminence osteochondral defects. Defect dimensions were measured. Imaging diagnoses and measurements were compared with macroscopic examination. Results: Fifty-six defects were seen over 70 potential locations. On CBCT and FBCT, osteochondral defects appeared as subchondral irregularity/saucer-shaped defects. On MRI, osteochondral defects were a combination of articular cartilage defect on dorsal images and subchondral flattening/irregularity on sagittal images. Subchondral thickening and osseous short tau inversion recovery hyperintensity were found concurrent with osteochondral defects. Compared with pathological examination, the sensitivity and specificity of diagnosis were 86% (95% confidence interval [95% CI] 75%-93%) and 64% (95% CI 38%-85%) for FBCT; 64% (95% CI 51%-76%) and 71% (95% CI 46%-90%) for CBCT; and 52% (95% CI 39%-65%) and 71% (95% CI 46%-90%) for MRI. Sensitivity of all modalities increased with defect size. Macroscopic defect dimensions were strongly correlated with CBCT (r = 0.76, p < 0.001) and moderately correlated with FBCT and MRI (r = 0.65, p < 0.001). Macroscopic measurements were significantly greater than all imaging modality dimensions (p < 0.001), potentially because macroscopy included articular cartilage pathology. Conclusions: Influence of motion artefact could not be assessed. Conclusions: Osteochondral defects could be visualised using both CT and MRI with sensitivity increasing with defect size. Diagnostic performance was best using FBCT, followed by CBCT then MRI, but CBCT-measured defect size best correlated with macroscopic examination. MRI provided useful information on fluid signal associated with defects, which could represent active pathology.
© 2023 The Authors. Equine Veterinary Journal published by John Wiley & Sons Ltd on behalf of EVJ Ltd.
Publication Date: 2023-07-24 PubMed ID: 37488678DOI: 10.1111/evj.13973Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
This research study examines the use of computed tomography (CT) and magnetic resonance imaging (MRI) to diagnose osteochondral defects in horse limbs. It compares the sensitivity and specificity of different CT and MRI methods using macroscopic pathology as the standard.
Objective
- The main objective of this study was to assess and compare CT and MRI techniques in diagnosing osteochondral defects in the proximal phalanx of horse limbs. This included describing the lesions and comparing the sensitivity and specificity of the various imaging methods, using macroscopic pathology as a reference.
Methods
- Thirty-five equine cadaver limbs were studied using different methods: standing cone-beam CT (CBCT), fan-beam CT (FBCT), and low-field MRI.
- The images were examined for defects in specific regions of the proximal phalanx, and defect dimensions were measured.
- The imaging diagnoses and measurements were then compared with macroscopic examination to evaluate the accuracy of each method.
Results
- Fifty-six defects were found across 70 potential locations.
- On CBCT and FBCT, defects appeared as subchondral irregularities or saucer-shaped defects. On MRI, they appeared as a combination of articular cartilage defects and subchondral flattening/irregularity.
- Sensitivity and specificity were found to be 86% and 64% for FBCT; 64% and 71% for CBCT; and 52% and 71% for MRI.
- Sensitivity increased with defect size for all modalities.
- Macroscopic defect dimensions were strongly correlated with CBCT (r = 0.76, p < 0.001) and moderately correlated with FBCT and MRI (r = 0.65, p < 0.001).
- Macroscopic measurements were found to be significantly greater than all imaging modalities, possibly due to the inclusion of articular cartilage pathology.
Conclusions
- The study could not assess the influence of motion artifacts.
- Osteochondral defects could be visualized using both CT and MRI, with sensitivity increasing with defect size.
- Diagnostic performance was best with FBCT, followed by CBCT, then MRI. CBCT-measured defect size had the best correlation with macroscopic examination.
- MRI provided useful information on fluid signals associated with defects, potentially indicating active pathology.
Cite This Article
APA
Lin ST, Bolas NM, Sargan DR, Restif O, Peter VG, Pokora R, Patrick H, Foote AK, Murray RC.
(2023).
Comparison of cone-beam and fan-beam computed tomography and low-field magnetic resonance imaging for detection of proximal phalanx dorsoproximal osteochondral defects.
Equine Vet J.
https://doi.org/10.1111/evj.13973 Publication
Researcher Affiliations
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
- Hallmarq Veterinary Imaging, Surrey, UK.
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
- Rossdales Equine Hospital and Diagnostic Centre, Suffolk, UK.
- Rossdales Equine Hospital and Diagnostic Centre, Suffolk, UK.
- Swayne and Partners Veterinary Surgeons, Suffolk, UK.
- Rossdales Equine Hospital and Diagnostic Centre, Suffolk, UK.
- Rossdales Equine Hospital and Diagnostic Centre, Suffolk, UK.
Grant Funding
- Department of Veterinary Medicine, University of Cambridge
- Horserace Betting Levy Board, Small Project Grants
- Robinson College, University of Cambridge, Friends of the College Fund
- School of Biological Sciences, University of Cambridge, Charles Slater Fund
References
This article includes 20 references
- Cantley CE, Firth E, Delahunt J, Pfeiffer D, Thompson K. Naturally occurring osteoarthritis in the metacarpophalangeal joints of wild horses. Equine Vet J 1999;31:73-81.
- Kawcak C, McIlwraith C. Proximodorsal first phalanx osteochondral chip fragmentation in 336 horses. Equine Vet J 1994;26:392-396.
- Declercq J, Martens A, Maes D, Boussauw B, Forsyth R, Boening K. Dorsoproximal proximal phalanx osteochondral fragmentation in 117 Warmblood horses. Vet Comp Orthop Traumatol 2009;22:1-6.
- Santschi EM. Articular fetlock injuries in exercising horses. Vet Clin North Am Equine Pract 2008;24:117-132.
- Brama P, Karssenberg D, Barneveld A, van Weeren P. Contact areas and pressure distribution on the proximal articular surface of the proximal phalanx under sagittal plane loading. Equine Vet J 2001;33:26-32.
- Kidd J, Fuller C, Barr A. Osteoarthritis in the horse. Equine Vet Educ 2001;13:160-168.
- Olive J, D'Anjou MA, Girard C, Laverty S, Theoret C. Fat-suppressed spoiled gradient-recalled imaging of equine metacarpophalangeal articular cartilage. Vet Radiol Ultrasound 2010;51:107-115.
- Hontoir F, Nisolle J-F, Meurisse H, Simon V, Tallier M, Vanderstricht R. A comparison of 3-T magnetic resonance imaging and computed tomography arthrography to identify structural cartilage defects of the fetlock joint in the horse. Vet. J. 2014;199:115-122.
- Powell S. Low-field standing magnetic resonance imaging findings of the metacarpo/metatarsophalangeal joint of racing thoroughbreds with lameness localised to the region: a retrospective study of 131 horses. Equine Vet J 2012;44:169-177.
- Curtiss AL, Ortved KF, Dallap-Schaer B, Gouzeev S, Stefanovski D, Richardson DW. Validation of standing cone beam computed tomography for diagnosing subchondral fetlock pathology in the thoroughbred racehorse. Equine Vet J 2021;53:510-523.
- Mageed M. Standing computed tomography of the equine limb using a multi-slice helical scanner: technique and feasibility study. Equine Vet. Educ. 2022;34:77-83.
- Parikh R, Mathai A, Parikh S, Sekhar GC, Thomas R. Understanding and using sensitivity, specificity and predictive values. Indian J Ophthalmol 2008;56:45.
- Moore D, Notz W, Flinger M. Scatterplots and correlation. In: The basic practice of statistics (6th ed.). New York, NY: WH Freeman and Company; 2013.
- Murray R, Mair T, Sherlock C, Blunden A. Comparison of high-field and low-field magnetic resonance images of cadaver limbs of horses. Vet Record 2009;165:281-288.
- Murray RC, Branch MV, Tranquille C, Woods S. Validation of magnetic resonance imaging for measurement of equine articular cartilage and subchondral bone thickness. Am J Vet Res 2005;66:1999-2005.
- Goldman LW. Principles of CT: radiation dose and image quality. J Nucl Med Technol 2007;35:213-225.
- Ramzan P, Powell S. Clinical and imaging features of suspected prodromal fracture of the proximal phalanx in three thoroughbred racehorses. Equine Vet J 2010;42:164-169.
- Murray RC. Equine MRI. West Sussex: John Wiley & Sons; 2010.
- Brommer H, van Weeren P, Brama P, Barneveld A. Quantification and age-related distribution of articular cartilage degeneration in the equine fetlock joint. Equine Vet J 2003;35:697-701.
- Neundorf RH, Lowerison MB, Cruz AM, Thomason JJ, McEwen BJ, Hurtig MB. Determination of the prevalence and severity of metacarpophalangeal joint osteoarthritis in Thoroughbred racehorses via quantitative macroscopic evaluation. Am J Vet Res 2010;71:1284-1293.
Citations
This article has been cited 4 times.- Turek B, Pawlikowski M, Jankowski K, Borowska M, Skierbiszewska K, Jasiński T, Domino M. Selection of density standard and X-ray tube settings for computed digital absorptiometry in horses using the k-means clustering algorithm. BMC Vet Res 2025 Mar 13;21(1):165.
- Malekipour F, Whitton RC, Lee PV. Advancements in Subchondral Bone Biomechanics: Insights from Computed Tomography and Micro-Computed Tomography Imaging in Equine Models. Curr Osteoporos Rep 2024 Dec;22(6):544-552.
- Nagy A, Dyson S. Magnetic Resonance Imaging, Computed Tomographic and Radiographic Findings in the Metacarpophalangeal Joints of 31 Warmblood Showjumpers in Full Work and Competing Regularly. Animals (Basel) 2024 May 9;14(10).
- Lin ST, Foote AK, Bolas NM, Peter VG, Pokora R, Patrick H, Sargan DR, Murray RC. Three-Dimensional Imaging and Histopathological Features of Third Metacarpal/Tarsal Parasagittal Groove and Proximal Phalanx Sagittal Groove Fissures in Thoroughbred Horses. Animals (Basel) 2023 Sep 14;13(18).
Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists