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Prevalence and Features of Incidental Findings in Veterinary Computed Tomography: A Single-Center Six-Years' Experience. | LitMetric

AI Article Synopsis

  • Computed tomography (CT) can reveal unexpected lesions called "incidentalomas" during unrelated exams, creating uncertainty for veterinarians regarding their significance and necessary follow-up.
  • A study reviewed 561 CT scans from 512 dogs and 49 cats, finding 80 incidentalomas, primarily in dogs, with a notable correlation between age and occurrence.
  • The research highlights that specific breeds (like Boxers) and certain scan locations (neck, thoracic, abdominal) are linked to higher prevalence, suggesting a need for improved management and awareness by clinicians.

Article Abstract

Computed tomography (CT) is an advanced imaging technique that may lead to detect "incidentalomas", unexpected asymptomatic lesions found during unrelated examinations. Their clinical meaning and management are not clear for veterinarians, who risk unnecessary investigations that harm the patients. This study is a retrospective analysis that aims to investigate incidentalomas in CT exams and to describe their prevalence, location, types and follow-up, their correlations and associations with the species, breed, sex, and age of patients examined and with the kind and number of sites scanned. The reports of 561 CT scans performed in 512 dogs and 49 cats in a veterinary facility over six years were reviewed and compared to the clinical records of the patients. Eighty incidentalomas were found in 57 dogs and four cats. A significant positive correlation was found in dogs between age and the prevalence of incidentalomas. In dogs, the prevalence of incidentalomas was significantly higher in Boxers and in neck, thoracic, and abdominal scans. Spinal incidentalomas were the most common typologies in dogs. This study can represent a tool that allows clinicians to acquire greater awareness about incidentalomas and to carry out the evidence-based clinical management of them.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951765PMC
http://dx.doi.org/10.3390/ani13040591DOI Listing

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