Objective: Angiotropism/perivascular invasion (PVI) is an emerging topic in various types of cancer, with studies primarily focusing on melanoma. However, limited data are available on the significance of PVI in breast cancer. This study aimed to assess the prognostic significance of PVI in breast cancer and its correlation with traditional clinicopathological prognostic parameters.
View Article and Find Full Text PDFRecent advances in artificial intelligence (AI) research, particularly in image processing technologies, have shown promising applications across various domains, including health care. There is a significant effort to use AI for the early diagnosis and detection of diseases, offering cost-effective and timely solutions to enhance patient outcomes. This study introduces a deep learning network aimed at analyzing pathology images for the accurate diagnosis of pancreatic cancer, specifically pancreatic ductal adenocarcinoma (PDAC).
View Article and Find Full Text PDFBackground: The information on the clinicopathologic/outcome differences between ampullary adenocarcinoma (AC) and pancreatic adenocarcinoma (PC) has been conflicting to the extent that it still is questioned whether ACs need to be recognized separately from PCs.
Methods: The characteristics of 413 ACs were compared with those of 547 PCs.
Results: The ACs had a better prognosis than the PCs (5-year survival, 57 % vs 23 %; p < 0.