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Robot Assisted Transforaminal Percutaneous Endoscopic Lumbar Discectomy

5 pagesPublished: July 12, 2018

Abstract

Percutaneous endoscopic spine surgery is popular in recent years because of its minimally invasive manner. After transforaminal approach presented by Kambin in the late 1980s, many specific methods were described to establish an accurate and feasible approach to the target disc. Among them, the techniques of Yeung[1], Hoogland[2] and Ruetten[3] are the most famous ones and each has different design and indications. However, no consensus have been made because of the debated clinical results, steep learning curves, and pitfalls that exist in each approach. Guide needle insertion and subsequent working channel building remain a challenging procedure. Poor accuracy may lead to poor safety as the nerve root and dura are at risk. Many surgeons attempted to optimize the procedure, but few researches have integrated computer-assisted navigation with tPELD (transforaminal percutaneous endoscopic lumbar discectomy). It is time to bring our surgical robot into the field.

Keyphrases: endoscopic, navigation, robot, transforaminal

In: Wei Tian and Ferdinando Rodriguez Y Baena (editors). CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 2, pages 231-235.

BibTeX entry
@inproceedings{CAOS2018:Robot_Assisted_Transforaminal_Percutaneous,
  author    = {Han Wang and Yajun Liu and Mingxing Fan and Jile Jiang and Wei Tian},
  title     = {Robot Assisted Transforaminal Percutaneous Endoscopic Lumbar Discectomy},
  booktitle = {CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Wei Tian and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {2},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/dtx3},
  doi       = {10.29007/34nd},
  pages     = {231-235},
  year      = {2018}}
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