[Computed tomographic anatomy of the salivary glands in the cat]

OBJECTIVE

The aim of the study was to define anatomical characteristics of the feline salivary glands in cross-sectional images obtained by unenhanced computed tomography (CT) and to describe landmarks for a reliable identification.

MATERIAL AND METHODS

Heads of adult normocephalic cats without indications of cephalic disease were examined. Cats were included in the prospective part of the study when examined no later than 1 hour post mortem (n = 16). In the retrospective part of the study, previous CT-studies were evaluated (n = 25). The results of both groups were evaluated separately. Initially, the possibility of identifying and delineating the salivary glands from the surrounding tissue was assessed. Anatomical structures of the head were then defined as landmarks. Dimensions and density (Hounsfield units, HU) of the salivary glands were determined based on transversal and reconstructed sagittal images.

RESULTS

In total, 94.3% of the parotid glands, 90.7% of the mandibular glands and 96.8% of the zygomatic glands could be delineated. The remaining salivary glands could not be identified. Anatomical landmarks, including the external ear canal, the musculus (M.) masseter, the M. pterygoideus medialis and the bulbus oculi facilitated the identification. Comparing the size of the salivary glands of both groups revealed differences (measured lateromedially and rostrocaudally) in size of ≤   2 mm. The definable salivary glands varied significantly in their density. The mean density of the glandula (Gl.) parotis was 65 HU, of the Gl. mandibularis 62 HU and of the Gl. zygomatica 57 HU. The comparisons of densities of both sides of the glands did not show statistically significant differences.

CONCLUSIONS

The large salivary glands (Gl. parotis and Gl. mandibularis) and the Gl. zygomatica of the cat can be reliably identified in CT-images. CT landmarks and data regarding the size and density of each gland could be gathered. The remaining minor salivary glands could not be delineated accurately. The difference in depicting the glands can be explained mainly by a lack of contrast with the surrounding tissue.

[Computed tomography with computer-assisted detection of pulmonary nodules in dogs and cats]

OBJECTIVE

The aim of this study was to assess the potential benefit of computer-assisted detection (CAD) of pulmonary nodules in veterinary medicine. Therefore, the CAD rate was compared to the detection rates of two individual examiners in terms of its sensitivity and false-positive findings.

MATERIALS AND METHODS

We included 51 dogs and 16 cats with pulmonary nodules previously diagnosed by computed tomography. First, the number of nodules ≥ 3 mm was recorded for each patient by two independent examiners. Subsequently, each examiner used the CAD software for automated nodule detection. With the knowledge of the CAD results, a final consensus decision on the number of nodules was achieved. The software used was a commercially available CAD program.

RESULTS

The sensitivity of examiner 1 was 89.2%, while that of examiner 2 reached 87.4%. CAD had a sensitivity of 69.4%. With CAD, the sensitivity of examiner 1 increased to 94.7% and that of examiner 2 to 90.8%.

CONCLUSION AND CLINICAL RELEVANCE

The CAD-system, which we used in our study, had a moderate sensitivity of 69.4%. Despite its severe limitations, with a high level of false-positive and false-negative results, CAD increased the examiners' sensitivity. Therefore, its supportive role in diagnostics appears to be evident.

[Options for the reduction of magnetic susceptibility artifacts caused by implanted microchips in 0.5 Tesla magnetic resonance imaging]

OBJECTIVE

Microchips contain ferromagnetic materials, which lead to severe focal image interferences when performing magnetic resonance imaging (MRI). Very small animals are particularly prone to these susceptibility artifacts, which may hinder analysis of the neck-region MRI image. We investigated the impact of sequence type on the artifact's size and determined the optimal imaging parameters to minimize these artifacts. Furthermore, the minimum distance between the microchip and the spinal canal required to assess the spinal structures should be determined.

MATERIAL AND METHODS

Investigations were performed on the cadavers of 26 cats and two dogs using a low-field MRI System (field strength 0.5 Tesla). To quantify susceptibility artifacts, several sequence types (spin echo, turbo-spin echo (TSE), gradient echo) and imaging parameters (echo time (TE), voxel volume, frequency direction) were systematically varied. Additionally, computed tomography imaging was performed to determine the distance between the microchip and the spinal canal.

RESULTS

The size of the artifact was smallest with T1-weighted TSE sequences. A short TE (10 ms) and a small voxel size (acquisition matrix 256 x 256 pixels, field of view 160 mm, slice thickness 2 mm) significantly reduced artifact size. Furthermore, it could be shown that by changing the frequency- and phase-encoding direction, the shape and orientation of the maximum dimension of the artifact could be influenced. Even when using an optimized T1-weighted TSE sequence, it was impossible to evaluate the spinal cord when the distance between the microchip and the center of the spinal canal was < 19  mm.

CONCLUSION AND CLINICAL RELEVANCE

In MR studies of the cervical spine of small dogs and cats, microchips can cause severe susceptibility artifacts. Because of the small distance between the microchip and the spinal structures, spinal evaluation may be limited or impossible. The investigations demonstrated that the adjustment of sequence parameters helps to significantly minimize artifact size and shape. The greatest reduction in artifact size was achieved by using a T1-weighted TSE sequence.