Preliminary educational expertise and studying curve with robotic backbone instrumentation.
Neurosurg Focus. 2017 Might;42(5):E4
Authors: Urakov TM, Chang KH, Burks SS, Wang MY
OBJECTIVE Backbone surgical procedure is advanced and entails numerous steps. Present robotic know-how is generally geared toward aiding with pedicle screw insertion. This report evaluates the feasibility of robot-assisted pedicle instrumentation in a tutorial atmosphere with the involvement of residents and fellows. METHODS The Renaissance Steering System was used to plan and execute pedicle screw placement in open and percutaneous consecutive circumstances carried out within the interval of December 2015 to December 2016. The database was reviewed to evaluate the usability of the robotic by neurosurgical trainees. End result measures included time per screw, fluoroscopy time, breached screws, and different issues. Screw placement was assessed in sufferers with postoperative CT research. The velocity of screw placement and fluoroscopy time had been collected on the time of surgical procedure by personnel affiliated with the robotic’s producer. Complication and imaging information had been reviewed retrospectively. RESULTS A complete of 306 pedicle screws had been inserted in 30 sufferers with robotic steerage. The common time for junior residents was four.four min/screw and for senior residents and fellows, four.02 min/screw (p = zero.61). Among the many residents devoted to backbone surgical procedure, the common velocity was three.84 min/screw, whereas nondedicated residents took four.5 min/screw (p = zero.41). Analysis of breached screws revealed among the pitfalls in utilizing the robotic. CONCLUSIONS No vital distinction relating to the velocity of pedicle instrumentation was detected between the operators’ years of expertise or dedication to backbone surgical procedure, though extra members are required to research this fully. Alternatively, there was a development towards improved effectivity with extra circumstances carried out. To the authors’ data, that is the primary reported educational expertise with robot-assisted backbone instrumentation.
PMID: 28463609 [PubMed – indexed for MEDLINE]