Search

Digital intelligent hepatobiliary surgery has evolved over decades.It has experienced an evolution course from digital virtual human technology to the establishment of a quality-controlled and homogeneous three-dimensional visualization system for precision diagnosis and treatment of diseases, from three-dimensional visualization to the clinical transformation of digital intelligent technology and changes in the diagnosis and treatment model, from empirical diagnosis of diseases to the application of deep learning for the intelligent diagnosis and treatment of diseases, from empirical surgery to real-time multi-modal image guidance during surgery, and from the morphological diagnosis of tumors to accurate diagnosis from molecular imaging.During the whole process, only through continuous innovation in research, theory and technology can the "life" of digital intelligent surgery be endowed with new vitality.In the future, the definition of tumor boundary from the molecular and cellular levels and the early diagnosis and treatment of liver tumor through the functional visualization of key molecules will have significant clinical value for changing the prognosis of liver cancer.In addition, in order to realize intelligent navigation for hepatectomy and break through the technical bottleneck, it is of great clinical significance to develop an intelligent robot real-time navigation hepatectomy system with automatic navigation technology, machine learning intelligent planning technology and multimodal image fusion technology.This provides unprecedented opportunities and challenges for the development of digital intelligent hepatobiliary surgery.

Digital intelligent diagnostic and treatment technology is a novel technology which is based by combining modern medicine with digitalized and intelligent high-tech to form a multidisciplinary and multi-knowledge domain. This technology plays an important role in areas including precision diagnosis, preoperative planning and surgical navigation. Its core technologies are: (1) quality control research on high-quality CT imaging data acquisition; (2) quality control and homogenization research on three-dimensional (3D) reconstruction; (3) high-quality 3D printed physical models; (4) virtual reality 3D simulation platform; (5) molecular fluorescence imaging to define tumor boundaries; (6) non-rigid registration multi-mode image fusion surgical navigation system; (7) image feature extraction and prediction model establishment. The workflow of this system includes: First, CT data acquisition and 3D visualization of hepatobiliary and pancreatic diseases; followed by individualized vascular assessment, liver volume calculation and surgical planning using the 3D model; then virtual simulation surgery, 3D printing, virtual reality technology and molecular fluorescence imaging accordance to the required specific conditions. Preoperative radiomics are used to predict the risk of complications and long-term follow-up results. Intraoperative multi-modal fusion image navigation and its consistency are evaluated with the findings in actual surgery and preoperative planning. This technology, hopefully, will bring in novel strategies and approaches in the diagnosis and treatment of hepatobiliary and pancreatic diseases.

The three-dimensional body visible system is a further development of the three-dimensional CT reconstruction system. It has a lot of merits over the latter system. Clinical application of the three-dimensional body visible system in liver surgery showed the system to have the following merits: (1) The system can support the Couinaud classification of liver anatomy into two hemilivers, four sectors and eight segments. As the system can rotate the liver to any angle and it has the ability to make part or whole of the liver transparent thus making the internal blood vessels and bile ducts visible. Learning liver anatomy and liver surgery becomes easier. (2)The system can clearly localize liver tumors within the liver segment(s). (3)It can help clinicians to decide and to plan different operations on an individual. (4)By carrying out simulation partial hepatectomy using this system, it can help clinicians to estimate the difficulty and the risks involved in different options of liver resection and finally.(5)The system helps clinicians to identify anomalies in hepatic artery, portal vein, hepatic vein and bile duct, thus making the operation safer. In conclusion, this system significantly improves on the conventional three-dimensional CT reconstruction system. It is especially useful for inexperienced liver surgeons.

We report a case of intraosseous glomus tumor that developed in the right ring finger distal phalanx of a 19-year-old man. Clinical and radiographic findings were atypical. The tumor was excised en bloc because of the extensive involvement. The left second toe was transferred to the right ring finger to reconstruct the excised finger part. Symptom relief, function, and cosmetic outcome were satisfactory during 2-year follow-up.