Early detection of pancreatic cancer
Cet article identifie les biomarqueurs et analyse le potentiel des médias sociaux dans la détection précoce d'un cancer du pancréas, évalue la performance des modèles prédictifs utilisant les données du dossier de santé électronique et les données de la recherche, puis examine l'utilisation de l'intelligence artificielle dans l'imagerie médicale de dépistage
Pancreatic ductal adenocarcinoma is most frequently detected at an advanced stage. Such late detection restricts treatment options and contributes to a dismal 5-year survival rate of 3–15%. Pancreatic ductal adenocarcinoma is relatively uncommon and screening of the asymptomatic adult population is not feasible or recommended with current modalities. However, screening of individuals in high-risk groups is recommended. Here, we review groups at high risk for pancreatic ductal adenocarcinoma, including individuals with inherited predisposition and patients with pancreatic cystic lesions. We discuss studies aimed at finding ways of identifying pancreatic ductal adenocarcinoma in high-risk groups, such as among individuals with new-onset diabetes mellitus and people attending primary and secondary care practices with symptoms that suggest this cancer. We review early detection biomarkers, explore the potential of using social media for detection, appraise prediction models developed using electronic health records and research data, and examine the application of artificial intelligence to medical imaging for the purposes of early detection.
The Lancet Gastroenterology & Hepatology , résumé, 2019