Construction and application of the core technology system of digital intelligent diagnostic and treatment for hepato-biliary-pancreatic diseases
10.3760/cma.j.issn.0529-5815.2019.04.003
- VernacularTitle: 肝胆胰疾病数字智能化诊疗核心技术、体系构建及其应用
- 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, the 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:
Liver neoplasms;
Biliary tract neoplasms;
Pancreatic neoplasms;
Digital medicine;
Intelligent;
Treatment technology
- From:
Chinese Journal of Surgery
2019;57(4):253-257
- CountryChina
- Language:Chinese
-
Abstract:
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.
