超声引导下经皮肝胆管置管的技术要点及并发症防控策略

Abstract: Objective To explore an optimized protocol for ultrasound-guided percutaneous transhepatic cholangial drainage (PTCD) by integrating artificial intelligence (AI) and real-time imaging technologies, and to study the key points of precise operation techniques and intelligent prevention and control strategies for complications based on modern technologies, thereby enhancing the safety and effectiveness of treatment. Methods By retrospectively analyzing clinical case data and combining AI image recognition, contrast-enhanced ultrasound (CEUS), and augmented reality (AR) navigation technology, a standardized operation procedure was established. Big data analysis and machine learning were used to predict the risk of complications and formulate targeted prevention and control measures. Results After introducing AI-assisted bile duct identification, the accuracy of puncture positioning increased to 98.7%, and the catheterization time was shortened by 32.0%. The application of AR navigation and intelligent early warning systems reduced the incidence of complications such as bleeding and bile leakage by 36.6% compared with traditional methods. Conclusion The deep integration of modern technologies such as AI, AR, and CEUS into PTCD operations not only significantly improves the accuracy and efficiency of catheterization but also effectively reduces the incidence of complications through intelligent risk prediction and real-time monitoring, providing a safer and more efficient minimally invasive treatment option for patients with obstructive jaundice and promoting the intelligent development of interventional treatment technologies.