Clinical status and future prospects of single-incision robotic-assisted surgery: a review.

Journal: International journal of surgery (London, England)
PMID: 37988410

Abstract

Since the advent of conventional multiport laparoscopic surgery, the prosperity of minimally invasive surgery has been thriving on the advancement of endoscopic techniques. Cosmetic superiority, recovery benefits, and noninferior surgical outcomes weigh single-incision laparoscopic surgery as a promising modality. Although there are surgical challenges posed by steep learning curve and technological difficulties, such as instruments collision, triangulation loss and limited retraction, the establishment of robotic surgical platform as a solution to all is inspiring. Furthermore, with enhanced instrument maneuverability and stability, robotic ergonomic innovations adopt the advantages of single-incision laparoscopic surgery and surmount its recognized barriers by introducing a novel combination, single-incision robotic-assisted surgery. As was gradually diffused in general surgery and other specialties, single-incision robotic-assisted surgery manifests privileges in noninferior clinical outcomes an satisfactory cosmetic effect among strictly selected patients, and has the potential of a preferable surgical option for minimally invasive surgery.

Authors

  • Xi Cheng
    Genes, Cognition, and Psychosis Program, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA; The Lieber Institute for Brain DevelopmentBaltimore, MD, USA; Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology (OCICB), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of HealthRockville, MD, USA.
  • Chenhao Huang
    Department of General Surgery.
  • Wenqing Jia
    Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Zichao Guo
    Department of General Surgery.
  • Yiqing Shi
    College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350117, China. Electronic address: 417shelly@gmail.com.
  • Zijia Song
    Department of General Surgery.
  • Haoran Feng
    Department of General Surgery.
  • Haiyan Huang
    Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
  • Shuiyu Xu
    Department of General Surgery.
  • Haosheng Li
    Department of General Surgery.
  • Shaodong Wang
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Yaqi Zhang
    Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China; College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China.
  • Tao Zhang
    Department of Traumatology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 40044, People's Republic of China.
  • Kun Liu
    Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
  • Xiaopin Ji
    Department of General Surgery.
  • Ren Zhao
    Department of General Surgery.

Keywords

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