Peer-reviewed veterinary case report
Using micro-CT scans to diagnose rabbit dental and mouth disease
By Sasai, Hiroshi et al.·Published in BMC veterinary research·2014·View original on PubMed →
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Original publication title: The use of micro-computed tomography in the diagnosis of dental and oral disease in rabbits.
- Species:
- rabbit
Plain-English summary
A group of 50 rabbits was brought in for not eating well or having trouble feeding. The veterinarians used a new imaging technique called micro-computed tomography (micro-CT) to get a clearer picture of their dental health, which is often hard to assess with traditional methods. The micro-CT provided detailed images that helped diagnose dental diseases more accurately. This method showed promise for better diagnosing oral issues in rabbits, leading to more effective treatment options.
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Abstract
BACKGROUND: The aim of this study was to investigate the use of a newly developed micro-computed tomography (micro-CT) system for the diagnosis of oral pathologies in small animals, using the rabbit as a model. The diagnosis of dental diseases in rabbits is usually based on oral endoscopy and radiographic imaging, but detailed pathological diagnosis using these methods is frequently difficult. Micro-CT was used in this study to address this challenge. RESULTS: This study was conducted using 50 privately owned rabbits, presented to our hospital due to loss of appetite or difficulty feeding. Image recording times were 18 s in normal mode and 120 s in fine mode. The animals were maintained in the required position for scanning via the administration of sedatives. Micro-CT captured with a slice thickness of 60-120 mm has excellent spatial resolution, and is suitable for the clinical diagnosis of dental diseases in rabbits weighing 1-3 kg. CONCLUSIONS: Micro-CT can yield more detailed data than radiography or conventional CT. This study determined that this novel imaging modality can be utilized for the accurate assessment of dental and oral diseases in rabbits.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/25189123/