Peer-reviewed veterinary case report
Virtual non-contrast CT images as an alternative for dog abdominal
By Lietz, Philipp et al.·Published in Frontiers in veterinary science·2023·Clinic for Small Animals, Germany·View original on PubMed →
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Original publication title: Virtual non-contrast images of detector-based spectral computed tomography in dogs: a promising alternative to true non-contrast images in veterinary medicine.
- Species:
- dog
Plain-English summary
A group of 44 dogs underwent abdominal scans using a new imaging technique called spectral detector computed tomography (SDCT) that creates virtual non-contrast (VNC) images from a contrast-enhanced scan. The researchers found that these VNC images were very similar in quality to traditional unenhanced scans, which could help reduce the time dogs spend under anesthesia and lower their exposure to radiation. The results suggest that VNC images are a reliable alternative for assessing abdominal organs in healthy dogs. Further studies will be needed to see how well this method works in dogs with health issues.
People also search for: dog abdominal CT scan · virtual non-contrast imaging in dogs · SDCT for dogs · dog anesthesia risks
Abstract
INTRODUCTION: In veterinary medicine, abdominal computer tomographic (CT) examinations regularly require a minimum of two scans, with a native scan (true unenhanced, TUE) as a reference for the subsequent contrast-enhanced CT scan (CECT). Spectral detector CT (SDCT) offers the possibility to calculate virtual non-contrast (VNC) images from the post-contrast scan, but this has not yet been investigated in veterinary medicine. The purpose of this study was to assess the reliability of VNC images for abdominal organs in 44 dogs without abdominal pathologies by evaluating their quantitative and qualitative parameters compared to TUE images. We hypothesized that the subtraction of iodine is sufficient in the VNC series compared to the TUE series and that the image quality of the SDCT series is superior to conventional CT images. METHODS: Corresponding attenuation values in the VNC and TUE series regarding the regions of interest (ROI) in different parenchymal organs and major vessels of the abdominal cavity were assessed by means of a two one-sided-test (TOST) and Bland-Altman plots. Additionally, the signal-to-noise ratio (SNR) was calculated for each ROI in the different series. In the second step, two board-certified veterinary radiologists made a qualitative assessment of VNC images vs. TUE images in consensus by rating the iodine subtraction, image noise, and image quality of VNC images based on a specific 5-point Likert scale. RESULTS: The difference in corresponding Hounsfield units (HUs) between TUE and VNC images was less than 10 HU in 78.67% of all ROIs. Regarding the limit of less than 10 HU, in the performed TOST, significant-values of < 0.05 were reached for the liver, spleen, pancreas, and musculature, implying equivalence of both modalities. The quality of spectral base image (SBI) data was rated equivalent to calculated conventional images in the subjective assessment by reaching an average Likert scale score of 3.2 points. DISCUSSION: VNC images calculated from SDCT data prove a valid alternative to conventional TUE images in the abdominal organs of canine patients without abdominal pathology. VNC offers the possibility to reduce time under general anesthesia and minimize radiation exposure. Future studies are needed to prove the application of this method in clinically diseased patients.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/38105773/