Current Gallstone Treatment Methods, State of the Art

This study aims to provide valuable references for clinicians in selecting appropriate surgical methods for biliary tract stones based on patient conditions. In this paper, the advantages and disadvantages of various minimally invasive cholelithiasis surgical techniques are systematically summarized and innovative surgical approaches and intelligent stone removal technologies are introduced. The goal is to evaluate and predict future research priorities and development trends in the field of gallstone surgery. In recent years, the incidence of gallstone-related diseases, including cholecystolithiasis and choledocholithiasis, has significantly increased. This surge in cases has prompted the development of several innovative methods for gallstone extraction, with minimally invasive procedures gaining the most popularity. Among these techniques, PTCS, ERCP, and LCBDE have garnered considerable attention, leading to new surgical techniques; however, it must be acknowledged that each surgical method has its unique indications and potential complications. The primary challenge for clinicians is selecting a surgical approach that minimizes patient trauma while reducing the incidence of complications such as pancreatitis and gallbladder cancer and preventing the recurrence of gallstones. The integration of artificial intelligence with stone extraction surgeries offers new opportunities to address this issue. Regarding the need for preoperative preparation for PTCS surgery, we recommend a combined approach of PTBD and PTOBF. For ERCP-based stone extraction, we recommend a small incision of the Oddi sphincter followed by 30 s of balloon dilation as the optimal procedure. If conditions permit, a biliary stent can be placed post-extraction. For the surgical approach of LCBDE, we recommend the transduodenal (TD) approach. Artificial intelligence is involved throughout the entire process of gallstone detection, treatment, and prognosis, and more AI-integrated medical technologies are expected to be applied in the future.