Primary Liver Cancers clinical trials

A Multicenter RCT Study of 3DV Technology in the Diagnosis and Treatment of PLC

Primary liver cancer is the most common malignant tumor of the liver. Radical surgery is the preferred treatment, but its 5-year recurrence rate is as high as 70%, which is often associated with incomplete surgical resection and residual tumor. Since the 21st century, with the rapid development of surgery and new science and technology, the diagnosis and treatment of liver diseases have been closely linked with imaging diagnostics, biomedical engineering, molecular imaging technology, computer science and other interdisciplinary subjects. Three-dimensional (3D) visualization technology is one of the emerging auxiliary diagnosis and treatment methods. It plays an important role in accurate diagnosis, surgical planning and surgical navigation of primary liver cancer, and can effectively improve the success rate of surgery and reduce the incidence of postoperative complications. Its diagnostic and treatment value in primary liver cancer is mainly reflected in :(1) to clarify the spatial location relationship of abdominal space occupying lesions, understand the relationship between space occupying lesions and surrounding tissues, important blood vessels and cavities, judge tumor resectable, and make preoperative planning for tumor classification and surgical resection scope. (2) Calculation of individual liver segmentation and liver volume based on the topological relationship of blood flow 4. 3D simulation software was used to automatically calculate the resectioned liver volume and residual liver volume with statistical correlation, which was helpful to judge the probability of liver failure after liver cancer. (3) Variation of hepatic artery, portal vein and bile duct can be found, and the variation of duct can be evaluated by three-dimensional model, including whether there is contact, length of contact, whether there is stenosis in lumen, etc., especially the resectable ability of tumor patients can be evaluated by 3D and real-time dynamic navigation during surgery.