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数字智能化诊疗技术在解剖性肝切除中应用价值
引用本文:方驰华,胡浩宇,刘允怡,钟世镇.数字智能化诊疗技术在解剖性肝切除中应用价值[J].中国实用外科杂志,2019,39(6):545-551.
作者姓名:方驰华  胡浩宇  刘允怡  钟世镇
作者单位:1南方医科大学珠江医院肝胆一科 广东省数字医学临床工程技术研究中心,广东广州510282;2香港中文大学医学院,中华人民共和国香港特别行政区新界沙田;3南方医科大学临床解剖研究所,广东广州 510515
基金项目:“十三五”国家重点研发计划数字诊断与治疗装备研发重点专项(No.2016YFC0106500);广州市科技计划项目(No.201604020144);国家自然科学基金重大科研仪器研制项目(No.81627805);国家自然科学基金-广东联合基金(No.U1401254);广东省自然科学基金(No.6200171);广东省重大科技专项(No.2012A080203013);“十一五”国家高技术研究发展计划(863计划)(No.2006AA02Z346);“十二五”国家高技术研究发展计划(863计划)(No.2012AA021105)
摘    要:数字智能化诊疗技术是以数字智能化高新技术和现代医学交叉结合为基础,涵盖多领域和多学科知识而形成的新型诊疗技术(包括三维可视化、3D打印、分子荧光成像、混合现实、光声成像、人工智能-影像组学和多模态图像实时手术导航等),为实现疾病的精确诊断、精准术前规划及术中导航等发挥了重要作用。南方医科大学珠江医院运用数字智能化技术,根据病人实际的血管分布进行研究,致力于个体化肝分段、体积计算、仿真手术、术前规划、混合现实、肿瘤边界界定和图像实时融合导航肝切除术等的研究,并运用于临床实践,最终实现了肝脏肿瘤解剖性、功能性、根治性肝切除术。

关 键 词:数字智能化  肝分段  肝体积计算  解剖性肝切除术  功能性肝切除术  根治性肝切除术  导航手术

Application of digital intelligent diagnostic and treatment technology in anatomical hepatectomy
Institution:(No. 1 Department of Hepatobiliary Surgery, Zhujiang Hospital of Southern Medical University,Guangzhou 510280, China)
Abstract:Application of digital intelligent diagnostic and treatment technology in anatomical hepatectomy FANG Chi-hua*, HU Hao-yu, LIU Yun-yi, et al. *No. 1 Department of Hepatobiliary Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, China
Corresponding author: FANG Chi-hua, E-mail: fangch_dr@163.com
Abstract Digital intelligent diagnostic and treatment technology refers to a novel technology which is based by associating digitalized and intelligent high-tech with modern science to form a multi-knowledge and multi-disciplinary domain; it includes three-dimensional visualization, 3D printing, molecular fluorescence imaging, mixed reality, photoacoustic imaging, artificial intelligence- radiomics and real-time multimodal image surgical navigation. It plays a significant role in precision diagnosis, preoperative planning and intraoperative navigation of diseases. The authors’ team, combining digital intelligent technology with the actual vascular distribution of patients, has been committed to the realization of individualized liver segmentation, volume calculation, simulation surgery, preoperative planning, mixed reality, tumor boundary definition and real-time image fusion for navigation in liver surgery. The research results were applied clinically, and achieved anatomical, functional, and radical hepatectomy for liver tumors.
Keywords:digital intelligence  liver segmentation  live volume calculation  anatomical hepatectomy  functional hepatectomy  radical hepatectomy  navigation surgery  
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