Surgeons' Learning Curve of Renaissance Robotic Surgical System.
Mazor
complication
degenerative
learning curve
outcome
pedicle screw
robotic
spinal stenosis
Journal
International journal of spine surgery
ISSN: 2211-4599
Titre abrégé: Int J Spine Surg
Pays: Netherlands
ID NLM: 101579005
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
pubmed:
25
10
2020
medline:
25
10
2020
entrez:
24
10
2020
Statut:
ppublish
Résumé
A few articles on robot-assisted pedicle screw placement described the learning curve but failed to report on the overall operative time, including cases in which the robotic system malfunctioned. The purpose of this study was to identify a single surgeon's learning curve including estimated blood loss, surgery time, anesthesia time, robot time, and complications. A retrospective study was performed between January 2016 and August 2018 for patients who underwent posterior spinal fusion using the Mazor robot. Based on the charts, the robot time, time of anesthesia, and surgery time were recorded, as were the complications, misplacement of screws, and blood loss. Of 62 robot-assisted surgeries scheduled, only 46 were performed (74.2%) upon patients with a mean age of 63.3 ± 13.0 years. The mean follow-up time was 13.2 ± 8.0 months and most commonly a fusion from L4 to S1 was performed (20/46, 43.5%). A high improvement in estimated intraoperative blood loss was observed of 755.7 ± 344.7 mL (slope = -9.89). A decrease in time in anesthesia, surgery, and robotic usage was identified with a slope factor of -3.64 ( Robot pedicle screw insertion shows no major learning curve; however, the blood loss and the installation process of the system improved with experience. 3.
Identifiants
pubmed: 33097577
pii: 7116
doi: 10.14444/7116
pmc: PMC7671434
doi:
Types de publication
Journal Article
Langues
eng
Pagination
818-823Informations de copyright
This manuscript is generously published free of charge by ISASS, the International Society for the Advancement of Spine Surgery. Copyright © 2020 ISASS.
Références
IEEE Trans Biomed Eng. 1988 Feb;35(2):153-60
pubmed: 3280462
J Bone Joint Surg Am. 1999 Nov;81(11):1519-28
pubmed: 10565643
Neurosurg Focus. 2017 May;42(5):E4
pubmed: 28463609
Spine (Phila Pa 1976). 2013 Oct 15;38(22):1970-6
pubmed: 23928714
J Spinal Disord Tech. 2012 Jul;25(5):241-8
pubmed: 21602728
Spine (Phila Pa 1976). 2017 Mar 15;42(6):353-358
pubmed: 27398897
Spine (Phila Pa 1976). 2012 Apr 15;37(8):E496-501
pubmed: 22310097
Comput Aided Surg. 2007 Mar;12(2):105-15
pubmed: 17487660
Spine (Phila Pa 1976). 2007 Feb 1;32(3):E111-20
pubmed: 17268254
Neurosurg Rev. 2020 Feb;43(1):17-25
pubmed: 29611081
Neurosurg Focus. 2017 May;42(5):E13
pubmed: 28463620
Spine (Phila Pa 1976). 1991 Oct;16(10 Suppl):S490-4
pubmed: 1801259
J Spine Surg. 2018 Jun;4(2):187-194
pubmed: 30069506
World Neurosurg. 2017 Sep;105:86-94
pubmed: 28576710
Spine (Phila Pa 1976). 2009 Feb 15;34(4):392-8
pubmed: 19214099
J Spine Surg. 2019 Jun;5(Suppl 1):S31-S40
pubmed: 31380491
J Bone Joint Surg Am. 2000 Oct;82(10):1458-76
pubmed: 11057475
Int J Med Robot. 2018 Aug;14(4):e1917
pubmed: 29786165
Oper Neurosurg (Hagerstown). 2019 Jul 1;17(1):61-69
pubmed: 30247684
Neurosurg Focus. 2017 May;42(5):E14
pubmed: 28463623
J Robot Surg. 2017 Mar;11(1):17-25
pubmed: 27277255
Medicine (Baltimore). 2018 Jun;97(22):e10970
pubmed: 29851848