Diagnostic challenges in pancreatic cancer

Professor Maxime Ronot, head of the medical imaging, radiodiagnosis, and interventional radiology department at Beaujon Hospital in Clichy (AP-HP), stated that the main diagnostic difficulty in pancreatic cancer is the absence of a specific risk factor. This makes it hard to identify high-risk individuals for early screening.

Francophone Radiology Days update

The statement was made during the Francophone Radiology Days (JFR), an event held from October 8 to 11 in Paris. The conference was described as productive in terms of technical achievements but did not recognize AI as a reliable tool for tracking pancreatic cancer, despite its growing use.

Limitations of early detection

Without a clear risk factor to guide targeted screening, early detection of pancreatic cancer through CT scans or MRI remains largely a matter of chance. This limits the effectiveness of opportunistic screening programs in the general population.

AI's role and challenges

AI-enhanced imaging techniques face significant obstacles in the fight against pancreatic cancer. These challenges are not only technical but also include issues related to implementation, validation, and integration into clinical practice.

Types of pancreatic tumors

Ductal adenocarcinoma accounts for 90% of all pancreatic tumors, while neuroendocrine tumors make up the remaining 10%. These two types differ in their biology, prognosis, and treatment approaches.