Literature DB >> 30428741

Robot-assisted percutaneous placement of K-wires during minimally invasive interventions of the spine.

Yann Croissant1,2, Stephan Zangos2, Moritz H Albrecht2, Katrin Eichler2, Christof Schomerus3, Adam Spandorfer4, U Joseph Schoepf4, Thomas J Vogl2, Christoph Czerny5.   

Abstract

Purpose: To assess the accuracy and time requirements of image-guided percutaneous K-wire insertion in the spine using an advanced robot assistance device for needle guidance and to demonstrate a radiation-free workflow for the physician. Material and methods: A planning CT-scan was acquired of a cadaver specimen and analyzed using a 3D-interventional software integrated in the robotic device. The optimal needle path was simulated and the needle holder of the robot was used for guidance during K-wire insertion. Twenty-four K-wires were inserted percutaneously in a transpedicular approach in the following vertebrae: thoracic (T) 2, 7-12 and lumbar (L) 1-5. A post-procedural CT scan was performed to analyze the accuracy of the K-wire insertion.
Results: All procedures were carried out without any perforation of the pedicle wall. The mean duration of planning the intervention path was 2:54 ± 2:22 min, mean positioning time was 2:04 ± 0:42 min and the mean time for K-wire insertion was 2:13 ± 0:54 min. In total, the average intervention time was 7:10 ± 3:06 min per pedicle. Compared to the planning, the K-wire position showed a mean deviation of 0.5 mm in the vertical-axis and 1.2 mm in the horizontal-axis. The average intervention path length was 8.1 cm.
Conclusion: Our findings show a high accuracy in robot-assisted K-wire insertion during spinal interventions without any exposure of the operator to radiation.

Entities:  

Keywords:  Computer assisted surgery; minimally invasive spine intervention; precision; radiation exposure; timely effort

Mesh:

Year:  2018        PMID: 30428741     DOI: 10.1080/13645706.2018.1544567

Source DB:  PubMed          Journal:  Minim Invasive Ther Allied Technol        ISSN: 1364-5706            Impact factor:   2.442


  3 in total

1.  Comparison of a Robotic and Patient-Mounted Device for CT-Guided Needle Placement: A Phantom Study.

Authors:  Yannick Scharll; Alexander Mitteregger; Gregor Laimer; Christoph Schwabl; Peter Schullian; Reto Bale
Journal:  J Clin Med       Date:  2022-06-28       Impact factor: 4.964

2.  Puncture accuracy of an optical tracked robotic aiming device-a phantom study.

Authors:  Yannick Scharll; Sofia Letrari; Gregor Laimer; Peter Schullian; Reto Bale
Journal:  Eur Radiol       Date:  2022-06-09       Impact factor: 7.034

3.  Robotic Spine Surgery and Augmented Reality Systems: A State of the Art.

Authors:  Gianluca Vadalà; Sergio De Salvatore; Luca Ambrosio; Fabrizio Russo; Rocco Papalia; Vincenzo Denaro
Journal:  Neurospine       Date:  2020-03-31
  3 in total

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