From digital virtual human, three-dimensional visualization to digital intelligence in liver surgery
10.3760/cma.j.issn.0529-5815.2020.01.005
- VernacularTitle: 肝胆外科从数字虚拟人、三维可视化到数字智能化发展的现状
- Author:
Chihua FANG
1
;
Peng ZHANG
1
;
WanYee LAU
2
;
Shizhen ZHONG
3
Author Information
1. First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University; Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou 510282, China
2. Faculty of Medicine, Chinese University of Hong Kong, Hong Kong 999077, China
3. The Institute of Clinical Anatomy, Southern Medical University, Guangzhou 510515, China
- Publication Type:Journal Article
- Keywords:
Hepatectomy;
Imaging, three-dimensional;
Digital virtual human;
Three dimensional visualization;
Digital intelligence;
Navigation
- From:
Chinese Journal of Surgery
2020;58(1):17-21
- CountryChina
- Language:Chinese
-
Abstract:
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.
