doi: 10.14444/8277.
Online ahead of print.
Affiliations
Affiliations
- 1 Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, NY, USA.
- 2 Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY, USA.
- 3 Department of Neurosurgery, Cairo University, Giza, Egypt.
- 4 The Robotic Spine Institute of Las Vegas at Nevada Spine Clinic, Las Vegas, Nevada, USA.
- 5 Department of Orthopedic Surgery, Spine Center at The Mount Sinai Hospital, New York, NY, USA.
- 6 Department of Neurosurgery, Semmes-Murphey Clinic & University of Tennessee Health Science Center, Memphis, TN, USA [email protected].
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Mohamed A R Soliman et al.
Int J Spine Surg.
.
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doi: 10.14444/8277.
Online ahead of print.
Affiliations
- 1 Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, NY, USA.
- 2 Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY, USA.
- 3 Department of Neurosurgery, Cairo University, Giza, Egypt.
- 4 The Robotic Spine Institute of Las Vegas at Nevada Spine Clinic, Las Vegas, Nevada, USA.
- 5 Department of Orthopedic Surgery, Spine Center at The Mount Sinai Hospital, New York, NY, USA.
- 6 Department of Neurosurgery, Semmes-Murphey Clinic & University of Tennessee Health Science Center, Memphis, TN, USA [email protected].
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Abstract
Background:
Spinal surgical robots are in the early phases of development and adoption. These systems need to be easier to use, less costly, and more workflow-efficient.
Methods:
A portable, operating room table-mounted spine robot and camera system are described. Accuracy and workflow efficiency were assessed in comparison to another commonly utilized spinal robotic system.
Results:
For the surgical task of inserting 4 pedicle screws into 2 adjacent lumbar vertebrae, equivalent accuracy was seen with both systems. The new robotic system was more efficient in terms of total procedure time, system setup time, and screw planning to in-position time (p<0.05).
Conclusions:
Spinal robotic systems can be more efficient and less expensive while maintaining accuracy.
Clinical relevance:
Spinal robots are being increasingly utilized in clinical practice. Lowering the cost of these systems and increasing their workflow efficiency should help patients and spine surgeons alike.
Keywords:
lumbar fusion; navigation; robot-enabled, minimally invasive; robotic spine surgery; workflow efficiency.
This manuscript is generously published free of charge by ISASS, the International Society for the Advancement of Spine Surgery. Copyright © 2022 ISASS. To see more or order reprints or permissions, see http://ijssurgery.com.
Conflict of interest statement
Declaration of Conflicting Interests: Dr. Pollina has the following disclosures: Alphatec Spine: consultant, advisory board member; Medtronic: consultant, advisory board member. Dr. Poelstra has the following disclosures: Acuity Surgical: consultant; Atlas Spine: consultant; Innovative Surgical Devices: consultant; Flowpharma: distribution group; Kuros: research support; Inion OI: royalties; Stryker: royalties; Camber Spine: scientific advisory board; Society of Minimally Invasive Spine Surgery: scientific advisory board; Medtronic: speaking/teaching arrangements; North American Spine Society: research grant. Dr. Chaudhary has the following disclosures: Omega Fellowship: educational grant; Globus Fellowship: educational grant; Stryker: consultant; Innovative Surgical Design: consultant; Globus: honorarium; Stryker: speaker; North American Spine Society: committee role; American Academy of Orthopedic Surgeons: committee role. Dr. Foley: consultant for Medtronic; direct stock ownership in Accelus, Companion Spine, Discgenics, DuraStat, Medtronic, NuVasive, Practical Navigation, RevBio, Spine Wave, Tissue Differentiation Intelligence, Triad Life Sciences, and True Digital Surgery; patent holder with Medtronic and NuVasive; royalties from Medtronic; and board of directors of Discgenics, DuraStat, RevBio, Tissue Differentiation Intelligence, Triad Life Sciences, and True Digital Surgery. All other authors have no personal, financial, or institutional interest in the materials or devices described in this manuscript.
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