Advancements in the diagnosis of biliopancreatic diseases:A comparative review and study on future insights  

作　　者：Eyad Gadour Bogdan Miutescu Zeinab Hassan Emad S Aljahdli Khurram Raees 

机构地区：[1]Multiorgan Transplant Centre of Excellence,Liver Transplantation Unit,King Fahad Specialist Hospital,Dammam 32253,Saudi Arabia [2]Internal Medicine,Zamzam University College,School of Medicine,Khartoum 11113,Sudan [3]Department of Gastroenterology and Hepatology,Victor Babes University of Medicine and Pharmacy,Timisoara 300041,Romania [4]Advanced Regional Research Center in Gastroenterology and Hepatology,Victor Babes University of Medicine and Pharmacy,Timisoara 30041,Romania [5]Department of Internal Medicine,Stockport Hospitals NHS Foundation Trust,Manchester SK27JE,United Kingdom [6]Gastroenterology Division,King Abdulaziz University,Faculty of Medicine,Jeddah 21589,Saudi Arabia [7]Gastrointestinal Oncology Unit,King Abdulaziz University Hospital,Jeddah 22252,Saudi Arabia [8]Department of Gastroenterology and Hepatology,Royal Blackburn Hospital,Blackburn BB23HH,United Kingdom

出　　处：《World Journal of Gastrointestinal Endoscopy》2025年第4期6-23,共18页世界胃肠内镜杂志(英文)

摘　　要：Owing to the complex and often asymptomatic presentations,the diagnosis of biliopancreatic diseases,including pancreatic and biliary malignancies,remains challenging.Recent technological advancements have remarkably improved the diagnostic accuracy and patient outcomes in these diseases.This review explores key advancements in diagnostic modalities,including biomarkers,imaging techniques,and artificial intelligence(AI)-based technologies.Biomarkers,such as cancer antigen 19-9,KRAS mutations,and inflammatory markers,provide crucial insights into disease progression and treatment responses.Advanced imaging modalities include enhanced computed tomography(CT),positron emission tomography-CT,magnetic resonance cholangiopancreatography,and endoscopic ultrasound.AI integration in imaging and pathology has enhanced diagnostic precision through deep learning algorithms that analyze medical images,automate routine diagnostic tasks,and provide predictive analytics for personalized treatment strategies.The applications of these technologies are diverse,ranging from early cancer detection to therapeutic guidance and real-time imaging.Biomarker-based liquid biopsies and AI-assisted imaging tools are essential for non-invasive diagnostics and individualized patient management.Furthermore,AI-driven models are transforming disease stratification,thus enhancing risk assessment and decision-making.Future studies should explore standardizing biomarker validation,improving AI-driven diagnostics,and expanding the accessibility of advanced imaging technologies in resource-limited settings.The continued development of non-invasive diagnostic techniques and precision medicine approaches is crucial for optimizing the detection and management of biliopancreatic diseases.Collaborative efforts between clinicians,researchers,and industry stakeholders will be pivotal in applying these advancements in clinical practice.

关 键 词：Biliopancreatic diseases Endoscopic ultrasound Endoscopic retrograde cholangiopancreatography Magnetic resonance cholangiopancreatography Peroral cholangiopancreatoscopy Diagnostic advancements Biomarkers in biliopancreatic diseases Artificial intelligence in gastroenterology 

分 类 号：R57[医药卫生—消化系统]