Optimized canine dental computed tomographic protocol in medium-sized mesaticepahlic dogs

Area of Science:

• Veterinary Radiology
• Medical Imaging Technology

Background:

• Canine dental imaging requires precise protocols for accurate diagnosis.
• Computed tomography (CT) offers advanced visualization but requires optimization for specific anatomical regions like canine dentition.

Purpose of the Study:

• To develop and optimize imaging protocols for canine dental CT using both single-detector row CT (SDCT) and multidetector row CT (MDCT).
• To evaluate the impact of various scanning parameters on the visualization of dental roots and dento-alveolar margins.

Main Methods:

• Two cadaver dog heads were scanned using SDCT and MDCT with varied slice thickness, scanning modes (sequential vs. helical), pitch, reconstruction algorithms, and edge enhancement filters.
• Dental roots and dento-alveolar margin sharpness were quantitatively scored by two reviewers.

Main Results:

• SDCT required 1 mm slice thickness, sequential/helical mode (pitch 1 or 2), and a high-frequency algorithm for complete root visualization.
• MDCT achieved complete root visibility across all tested parameters.
• SDCT produced sharp margins with high-frequency algorithms, while MDCT with 0.5 mm thickness yielded very sharp margins.

Conclusions:

• An optimal canine dental CT protocol using SDCT involves sequential mode, 1 mm slice thickness, high-frequency reconstruction, and moderate edge enhancement.
• MDCT provides excellent visualization of canine dental structures, with finer details at 0.5 mm slice thickness.