Background: Refractory epilepsy is a concern for many canines diagnosed with idiopathic epilepsy. In humans, refractory epilepsy is most often associated with temporal lobe epilepsy (TLE). In dogs, TLE pathology can go unnoticed on standard magnetic resonance imaging (MRI) examination. In recent years, many studies have described the occurrence of TLE in dogs and cats diagnosed through volumetric evaluation of the hippocampus. Nevertheless, this has been performed manually, which may reduce the diagnostic sensitivity of the method. Additionally, due to the challenges involved in the manual assessment in dogs, volumetric evaluation of the brain lobes has not yet been possible. In contrast, automated volumetry has long been used for the diagnosis of many neurological diseases in humans. The development of veterinary medicine and availability of brain atlases has now made it possible to introduce automated volumetry in to veterinary neurology as well. Thus, this study aimed to develop an automatic volumetry method, translate the outcomes into the assessment of temporal lobe volume in dogs with idiopathic epilepsy, and correlate the results with the electroencephalography (EEG) of epileptiform discharges (EDs). Results: An automated volumetry method was developed in this study, which allowed the evaluation of temporal lobe volumes of 31 dogs diagnosed with idiopathic epilepsy. The asymmetric ratio (AR) was then estimated and the results were correlated with the EEG EDs. Notably, 12/31 dogs had an AR greater than 6%. Among them, reduction in temporal lobe volume correlated with the side of the EEG EDs in seven cases. However, statistical analysis revealed no correlation between temporal lobe volume changes and ED location. There was a statistically significant difference in the AR between the group with a larger right ventricle and the group with symmetrical ventricles. Conclusions: Our results may influence the classification of idiopathic epilepsy in dogs. Additionally, the diagnosis of TLE in dogs based on MRI volumetry in correlation with EEG examination, especially for dogs with drug-resistant epilepsy, can significantly influence the development of new therapeutic options such as surgery.

Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging (MRI) technique that has promising applications for the objective assessment of the microstructure of the spinal cord. This study aimed to verify the parameters obtained using DTI change during the growth process. We also wanted to identify if the DTI values change on the course of the spinal cord. The model organism was a healthy growing porcine spinal cord (19 pigs, Polish White, weight 24–120 kg, mean 48 kg, median 48 kg, age 2.5–11 months, mean 5 months, median 5.5 months). DTI parameters were measured in three weight groups: up to 29 kg (five pigs), 30–59 kg (six pigs), and from 60 kg up (eight pigs). DTI was performed with a 1.5 Tesla magnetic resonance scanner (Philips, Ingenia). Image post-processing was done using the Fiber Track package (Philips Ingenia workstation) by manually drawing the regions of interest (nine ROIs). The measurements were recorded for three sections: the cervical, thoracolumbar and lumbar segments of the spinal cord at the C4/C5, Th13/L1, and L4/L5 vertebrae levels. In each case, one segment was measured cranially and one caudally from the above-mentioned places. The values of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were obtained for each ROIs and compared. It is shown that there is a correlation between age, weight gain, and change in FA and ADC parameters. Moreover, it is noted that, with increasing weight and age, the FA parameter increases and ADC decreases, whereas the FA and ADC measurement values did not significantly change between the three sections of the spinal cord. These findings could be useful in determining the reference values for the undamaged spinal cords of animals and growing humans.