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Research ArticleSpecial Issue Article

Accuracy of Robotic-Assisted Spinal Surgery—Comparison to TJR Robotics, da Vinci Robotics, and Optoelectronic Laboratory Robotics

Bryan W. Cunningham, Daina M. Brooks and Paul C. McAfee
International Journal of Spine Surgery October 2021, 15 (s2) S38-S55; DOI: https://doi.org/10.14444/8139
Bryan W. Cunningham
1Musculoskeletal Education Center, Department of Orthopaedic Surgery, MedStar Union Memorial Hospital, Baltimore, Maryland
2Department of Orthopaedic Surgery, Georgetown University School of Medicine, Washington, D.C.
PHD
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Daina M. Brooks
1Musculoskeletal Education Center, Department of Orthopaedic Surgery, MedStar Union Memorial Hospital, Baltimore, Maryland
MEM
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Paul C. McAfee
1Musculoskeletal Education Center, Department of Orthopaedic Surgery, MedStar Union Memorial Hospital, Baltimore, Maryland
2Department of Orthopaedic Surgery, Georgetown University School of Medicine, Washington, D.C.
MD, MBA
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    Figure 1

    Cartesian Coordinate System and Conceptual Framework for Spinal Kinematics – Schematic representation of a fixed 3-dimensional Cartesian coordinate system for calculation of rigid body transformation in millimeters (mm) translation and degrees (deg) rotation along three orthogonal axes – X, Y and Z (A). This is in accordance to the axial (Y), sagittal (Z) and coronal (X) anatomic planes as defined by Panjabi's 3-dimensional conceptual framework for spinal kinematics (B).

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    Figure 2

    Laboratory Platform for Optoelectronic Data Transference Process - Schematic illustration demonstrating the laboratory workflow and process for data transference utilizing optoelectronic tracking. The camera source visualizes the active fiducial arrays affixed to the vertebral elements and transfers the data directly to the user interface for computational analysis. The collective effect of testing methodology and limited experimental coordinate transformations between data input / output reduces error propagation and maximizes optoelectronic accuracy.

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    Figure 3

    Computed Tomographic Images – Computed tomographic images demonstrating comparative pedicle screw insertion techniques of “Old School” versus “New School” methods. The Old School technique includes probing the center of the pedicle, intramedullary blunt pedicle finder, and concentrically expanding the pedicle to permit screw insertion (A). The New School navigated technique utilizes a more outside-in converging trajectory permitting preservation of the medial pedicle wall (B). Note the change in position of the circle defining region of insertion corridor.

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    Figure 4

    Computed Tomographic and Schematic Images of Pedicle Screw Trajectory – The New Navigated School permits the surgeon to maximize pedicular fixation by incorporation of the entire costovertebral complex as showing the computed axial tomographic and schematic illustrations (A). As such, longer and larger diameter pedicle screws (5.5 mm versus 4.5 mm) can be inserted, while avoiding breach of the medial pedicle wall (B).

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    Figure 4

    Continued.

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    Figure 5

    Clinical Platform for Optoelectronic Data Transference Process – Schematic illustration demonstrating the operative clinical workflow and process for data transference utilizing optoelectronic tracking. Unique to robotic-assisted surgery and in difference to the laboratory setting, the intra-operative process requires considerably more steps in the transference of optoelectronic kinematic data. This complex workflow process integrates correlation and mapping algorithms to register the physical patient to the virtual patient via the navigation system, optoelectronic source, surveillance markers, patient reference markers, end effector instruments in the operative field, and patient CT images. Accurate, close-to-ideal reference reproducibility and maintenance of this dataset is the primary intra-operative objective and challenge.

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International Journal of Spine Surgery: 15 (s2)
International Journal of Spine Surgery
Vol. 15, Issue s2
1 Oct 2021
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Accuracy of Robotic-Assisted Spinal Surgery—Comparison to TJR Robotics, da Vinci Robotics, and Optoelectronic Laboratory Robotics
Bryan W. Cunningham, Daina M. Brooks, Paul C. McAfee
International Journal of Spine Surgery Oct 2021, 15 (s2) S38-S55; DOI: 10.14444/8139

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Accuracy of Robotic-Assisted Spinal Surgery—Comparison to TJR Robotics, da Vinci Robotics, and Optoelectronic Laboratory Robotics
Bryan W. Cunningham, Daina M. Brooks, Paul C. McAfee
International Journal of Spine Surgery Oct 2021, 15 (s2) S38-S55; DOI: 10.14444/8139
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More in this TOC Section

  • Image Guidance in Spinal Surgery: A Critical Appraisal and Future Directions
  • Role of Robotics in Adult Spinal Deformity
  • Robotics and Spine Surgery: Lessons From the Personal Computer and Industrial Revolutions
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Keywords

  • optoelectronic accuracy
  • spinal surgery
  • imaging
  • navigation
  • robotics

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