Left atrial myxoma metastasizing to the brain: a case report and review of literature.

Cardiac myxomas, the most common primary cardiac tumors, are believed to originate from multipotent mesenchymal cells. Approximately 75% of myxomas occur within the left atrium, increasing the risk of systemic thromboembolic events. While typically benign, atrial myxomas can rarely metastasize to the brain, with fewer than 60 cases reported.

The Effect of Window Size on Pathologists' Search for Rare Elements in a Digital Pathology Setting.

Context.—: Digital pathology requires pathologists to assess tissue digitally rather than on an analog microscope, which has been the mainstay tool for tissue assessment for more than a century. The impact of different digital interaction configurations on pathologists' performance is not well understood.

Epidemiology, treatment and outcomes of gastroenteropancreatic neuroendocrine neoplasms.

To investigate incidence, treatment patterns and outcomes of gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN) in the United States. The 2019 National Cancer Database was searched for adult GEP-NEN patients. Main outcomes included overall and site-specific incidence, treatment patterns, and overall survival (OS).

Italian adaptation to Regulation (EU) 2017/625 on food official controls: a case study.

Foodborne diseases can be prevented by implementing a food safety system that manages food chain risks from producer to end-user, from a One Health perspective. In 2017, the European Parliament and the European Council adopted Regulation No. 625 on official food controls and other official activities performed to ensure the application of food and feed laws and rules on animal health and welfare, plant health and plant protection products.

Predicting cancer content in tiles of lung squamous cell carcinoma tumours with validation against pathologist labels.

Background: A growing body of research is using deep learning to explore the relationship between treatment biomarkers for lung cancer patients and cancer tissue morphology on digitized whole slide images (WSIs) of tumour resections. However, these WSIs typically contain non-cancer tissue, introducing noise during model training. As digital pathology models typically start with splitting WSIs into tiles, we propose a model that can be used to exclude non-cancer tiles from the WSIs of lung squamous cell carcinoma (SqCC) tumours.