The Immune Contexture in Canine Anal Sac Adenocarcinoma: Immunohistochemical Quantification of Tumor-Infiltrating Lymphocytes and Tumor-Associated Macrophages with Image Analysis.

Canine anal sac gland adenocarcinomas (ASACs) are locally aggressive and highly metastatic to regional lymph nodes. Tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs) can be effective prognostic and predictive markers in numerous human neoplasms and are increasingly investigated in dogs. The aim of this study was to characterize immune cells in canine ASACs and their relationship with tumor size, histologic metastatic status, and tumor clinical stage.

Impact of a cell salvage device on blood transfusions to dogs undergoing surgery at a referral veterinary hospital.

Objective: To determine the number of homologous blood transfusions received by canine surgical patients after introducing a cell salvage device (CSD), trends in surgeries requiring blood transfusion, and the incidence of transfusion reactions.

Study Design: Retrospective study.

Setting: Single referral hospital.

Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours.

Performing a mitosis count (MC) is the diagnostic task of histologically grading canine Soft Tissue Sarcoma (cSTS). However, mitosis count is subject to inter- and intra-observer variability. Deep learning models can offer a standardisation in the process of MC used to histologically grade canine Soft Tissue Sarcomas.

Relationship between magnetic resonance imaging findings and histological grade in spinal peripheral nerve sheath tumors in dogs.

Background: Peripheral nerve sheath tumors (PNSTs) are a group of neoplasms originating from Schwann cells or pluripotent cell of the neural crest. Therapeutic options and prognosis are influenced by their degree of malignancy and location.

Hypothesis/objectives: Identify magnetic resonance imaging (MRI) features predictive of PNST histologic grade.

Detection of Necrosis in Digitised Whole-Slide Images for Better Grading of Canine Soft-Tissue Sarcomas Using Machine-Learning.

The definitive diagnosis of canine soft-tissue sarcomas (STSs) is based on histological assessment of formalin-fixed tissues. Assessment of parameters, such as degree of differentiation, necrosis score and mitotic score, give rise to a final tumour grade, which is important in determining prognosis and subsequent treatment modalities. However, grading discrepancies are reported to occur in human and canine STSs, which can result in complications regarding treatment plans.