Background -Mast cell tumours (MCTs) constitute almost 25% of cutaneous neoplasms in dogs. Their biological behaviour is predicted using histopathological grading which is based on several subjective criteria that are vulnerable to intra-and interobserver variability. To improve the prediction of the biological behaviour, several complementary markers have been studied. The integrity of the extracellular matrix (ECM) may play a protective role against tumoral progression, and favour cellular proliferation, angiogenesis, invasion and metastases when altered.Hypothesis/Objectives -To evaluate the quantification of collagen and elastic fibres as prognostic markers for MCTs.Animals -Thirty-eight random cases of canine cutaneous MCT surgically treated with wide margins were included.Methods and materials -Intratumoral collagen and elastic fibres were identified and quantified on histological sections stained with Masson's trichrome, Picrosirius red and Verhoeff; the results were compared with histopathological grades, mortality due to the disease and postsurgical survival.Results -Morphometric analysis revealed a significant relationship between histopathological grade and intratumoral collagen index (CoI). In addition, the CoI was considered an independent indicator for mortality and postsurgical survival.Conclusions and clinical importance -These results support the importance of the CoI in the grading and prognosis of MCTs, suggesting that preservation and/or synthesis of collagen have the potential to become targets for MCT therapeutics.

Pericardial effusion can lead to cardiac tamponade, which endangers an animal's life. Ultrasound-guided pericardiocentesis is used to remove abnormal liquid; however, it requires technical expertise. In veterinary medical education, the opportunity to teach this procedure to save lives during emergencies is rare; therefore, simulators are recommended for this practice. The present study aimed to create a model that can be made "at home" at low cost for ultrasound-guided pericardiocentesis training and to gather feedback about this model through questionnaires given to the participants. Eighteen professionals and thirty-six students were introduced to the simulator in pairs. After the simulation training session, participants filled out the questionnaire. Participants considered the model strong in the following areas: visualization of the pericardium, the heart, fluid in the pericardium, and fluid decrease during fictitious pericardiocentesis and its realism. They considered the model weak or moderate in the following areas: visualization of the surrounding tissues, difficulty of pericardial puncture, and visualization of the catheter. The professionals classified the realism of the experimental heart as moderate, whereas the undergraduate students classified it as strong. All participants believed that the experimental model could be useful in preparing for a future real situation. This model fulfills the need for a practical, realistic, and cost-effective model for ultrasound-guided pericardiocentesis training.

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