Current trends in three-dimensional visualization and real-time navigation as well as robot-assisted technologies in hepatobiliary surgery.
Current trends in three-dimensional visualization and real-time navigation as well as robot-assisted technologies in hepatobiliary surgery.
复制标题
肝胆外科三维可视化、实时导航及机器人辅助技术的最新趋势
DOI：
10.4240/wjgs.v13.i9.904
复制
发表时间：
2021-09-27
影响因子：
2
通讯作者：
Ohkohchi N
中科院分区：
文献类型：
--
作者：
Wang Y;Cao D;Chen SL;Li YM;Zheng YW;Ohkohchi N
随着数字化医学的不断发展，微创、精准、安全已成为肝胆外科的首要发展趋势。由于肝胆外科手术的特殊性和复杂性，传统的术前成像技术如计算机断层扫描和磁共振成像不能满足精细解剖区域识别的需要。基于成像的三维（3D）重建、手术虚拟模拟和3D打印通过术前评估优化手术方案，提高术中操作的可控性和安全性，在肝脏后段和上级难以触及的区域，辅助机器人通过稳定的摄像头再现外科医生的自然动作，减少自然振动。电磁导航在腹部手术中的应用解决了传统手术仍然依赖于直接视觉观察或术前影像评估的问题。我们总结并比较了这些数字医疗解决方案的最新趋势，以促进肝胆外科数字医疗的未来发展和完善。
With the continuous development of digital medicine, minimally invasive precision and safety have become the primary development trends in hepatobiliary surgery. Due to the specificity and complexity of hepatobiliary surgery, traditional preoperative imaging techniques such as computed tomography and magnetic resonance imaging cannot meet the need for identification of fine anatomical regions. Imaging-based three-dimensional (3D) reconstruction, virtual simulation of surgery and 3D printing optimize the surgical plan through preoperative assessment, improving the controllability and safety of intraoperative operations, and in difficult-to-reach areas of the posterior and superior liver, assistive robots reproduce the surgeon’s natural movements with stable cameras, reducing natural vibrations. Electromagnetic navigation in abdominal surgery solves the problem of conventional surgery still relying on direct visual observation or preoperative image assessment. We summarize and compare these recent trends in digital medical solutions for the future development and refinement of digital medicine in hepatobiliary surgery.
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DOI：
10.1089/lap.2017.0628
发表时间：
2019-02-01
影响因子：
1.3
作者：
Guerra, Francesco;Di Marino, Michele;Coratti, Andrea
通讯作者：
Coratti, Andrea
影响因子：
10.6
作者：
Heiselman, Jon S.;Jarnagin, William R.;Miga, Michael I.
通讯作者：
Miga, Michael I.
影响因子：
10.6
作者：
Franz, Alfred M.;Haidegger, Tamas;Maier-Hein, Lena
通讯作者：
Maier-Hein, Lena
影响因子：
2
作者：
Bari H;Wadhwani S;Dasari BVM
通讯作者：
Dasari BVM
DOI：
10.1007/s00464-015-4583-1
发表时间：
2016-07-01
影响因子：
3.1
作者：
Gonzalez, Anthony;Murcia, Christian Hernandez;Parris, Don
通讯作者：
Parris, Don