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Optimal Scan Delay for Computed Tomographic Evaluation of the Canine Pancreas Using a Fixed Injection Duration
Kimberly Lim1, Timothy Foo1, Evelyn Hall2
1Radiology Department, Western Australian Veterinary Emergency and Specialty (WAVES), Success, Western Australia, Australia.
Optimal computed tomographic (CT) scan delays for canine pancreas evaluation were determined. Peak contrast enhancement of the pancreas occurs 15-35 seconds post-aortic arrival, crucial for accurate disease detection.
Area of Science:
- Veterinary Radiology
- Diagnostic Imaging
- Canine Anatomy
Background:
- Pancreatic diseases require consistent computed tomographic (CT) evaluation for detection.
- Pancreatic attenuation and contrast enhancement patterns are key indicators of pathology and prognosis.
- Establishing normal enhancement patterns in canine pancreas CT is essential for accurate assessment.
Purpose of the Study:
- To determine the optimal CT scan delay for evaluating the canine pancreas.
- To identify peak contrast enhancement of the pancreatic parenchyma, aorta, and portal vein.
- To establish reference timing for pancreatic CT imaging in dogs.
Main Methods:
- A mixed retrospective and prospective analytical study involving 69 canine patients.
- Iohexol contrast agent administered intravenously over a fixed 20-second injection duration.
- Bolus tracking used for aortic contrast arrival detection, with scans acquired at various post-aortic arrival delays (5-180 seconds).
Main Results:
- Statistical modeling revealed sequential enhancement phases: arterial (5-10s), pancreatic (15-20s), and portovenous (20-35s) post-aortic arrival.
- Peak contrast enhancement of the pancreatic parenchyma occurred between 15 and 20 seconds.
- Peak enhancement of the portal vein was observed between 20 and 35 seconds.
Conclusions:
- Optimal CT scan delays for canine pancreas evaluation are established.
- The arterial, pancreatic, and portovenous phases occur sequentially, with peak pancreatic enhancement at 15-20 seconds.
- These findings optimize diagnostic accuracy for pancreatic diseases in dogs using CT.
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