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Alam I, Garg K, Kumar AG, Raheja A, Shah H, Pandey K, Sharma R, Mishra S, Tandon V, Singh M, Ahmad FU, Suri A, Kale SS. Beyond Traditional Training: Exploring the Benefits of Virtual Reality Simulator in Lumbar Pedicle Screw Insertion - A Randomized Controlled Trial. World Neurosurg 2024:S1878-8750(24)00926-4. [PMID: 38825310 DOI: 10.1016/j.wneu.2024.05.163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/26/2024] [Accepted: 05/26/2024] [Indexed: 06/04/2024]
Abstract
INTRODUCTION This study compares the effectiveness of virtual reality simulators (VRS) and a saw bone model for learning lumbar pedicle screw insertion (LPSI) in neurosurgery. METHODS A single-center, cross-sectional, randomized controlled laboratory investigation was conducted involving residents and fellows from a tertiary care referral hospital. Participants were divided into two groups (A and B). Group A performed 3 LPSI tasks: the first on a saw bone model, the second on VRS, and the third on another saw bone model. Group B completed 2 LPSI tasks: the first on a saw bone model and the second on another saw bone model. The accuracy of LPSI was evaluated through noncontrast computed tomography scans for the saw bone models, while the in-built application of VRS was utilized to check for accuracy of screw placement using the simulator. RESULTS The study included 38 participants (19 in each group). Group A participants showed reduced mean entry point error (0.11 mm, P 0.024), increased mean purchase length (4.66 cm, P 0.007), and no cortical breaches (P 0.031) when placing the second saw bone model screw. Similar improvements were observed among group A participants in PGY 1-3 while placing the second saw bone model screws. CONCLUSIONS Virtual reality simulators (VRS) prove to be an invaluable tool for teaching complex neurosurgical skills, such as LPSI, to trainees. This technology investment can enhance the learning curve while maintaining patient safety.
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Affiliation(s)
- Intekhab Alam
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Kanwaljeet Garg
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Akshay Ganesh Kumar
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Amol Raheja
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Het Shah
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Kushagra Pandey
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Ravi Sharma
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Shashwat Mishra
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Vivek Tandon
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
| | - Manmohan Singh
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Faiz U Ahmad
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
| | - Ashish Suri
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Shashank Sharad Kale
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
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Jang Y, Lim S, Lee S, Je LG, Kim T, Joo S, Seo J, Lee D, Koh JC. Clinical Application of an Augmented Reality Navigation System for Transforaminal Epidural Injection: A Randomized Controlled Trial. J Clin Med 2024; 13:1992. [PMID: 38610758 PMCID: PMC11012780 DOI: 10.3390/jcm13071992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/10/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Objectives: Augmented reality (AR) navigation systems are emerging to simplify and enhance the precision of medical procedures. Lumbosacral transforaminal epidural injection is a commonly performed procedure for the treatment and diagnosis of radiculopathy. Accurate needle placement while avoiding critical structures remains a challenge. For this purpose, we conducted a randomized controlled trial for our augmented reality navigation system. Methods: This randomized controlled study involved 28 patients, split between a traditional C-arm guided group (control) and an AR navigation guided group (AR-NAVI), to compare procedure efficiency and radiation exposure. The AR-NAVI group used a real-time tracking system displaying spinal structure and needle position on an AR head-mounted display. The procedural time and C-arm usage (radiation exposure) were measured. Results: All patients underwent successful procedures without complications. The AR-NAVI group demonstrated significantly reduced times and C-arm usage for needle entry to the target point (58.57 ± 33.31 vs. 124.91 ± 41.14, p < 0.001 and 3.79 ± 1.97 vs. 8.86 ± 3.94, p < 0.001). Conclusions: The use of the AR navigation system significantly improved procedure efficiency and safety by reducing time and radiation exposure, suggesting a promising direction for future enhancements and validation.
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Affiliation(s)
- Yookyung Jang
- Department of Anesthesiology and Pain Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea; (Y.J.); (S.L.); (L.G.J.); (T.K.)
| | - Sunghwan Lim
- Center for Healthcare Robotics, Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; (S.L.); (D.L.)
| | - Sunhee Lee
- Department of Anesthesiology and Pain Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea; (Y.J.); (S.L.); (L.G.J.); (T.K.)
| | - Lee Gyeong Je
- Department of Anesthesiology and Pain Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea; (Y.J.); (S.L.); (L.G.J.); (T.K.)
| | - Taesan Kim
- Department of Anesthesiology and Pain Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea; (Y.J.); (S.L.); (L.G.J.); (T.K.)
| | - Subin Joo
- Department of Medical Assistant Robot, Korea Institute of Machinery and Materials, Daegu 42994, Republic of Korea; (S.J.); (J.S.)
| | - Joonho Seo
- Department of Medical Assistant Robot, Korea Institute of Machinery and Materials, Daegu 42994, Republic of Korea; (S.J.); (J.S.)
| | - Deukhee Lee
- Center for Healthcare Robotics, Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea; (S.L.); (D.L.)
| | - Jae Chul Koh
- Department of Anesthesiology and Pain Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea; (Y.J.); (S.L.); (L.G.J.); (T.K.)
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Bui T, Ruiz-Cardozo MA, Dave HS, Barot K, Kann MR, Joseph K, Lopez-Alviar S, Trevino G, Brehm S, Yahanda AT, Molina CA. Virtual, Augmented, and Mixed Reality Applications for Surgical Rehearsal, Operative Execution, and Patient Education in Spine Surgery: A Scoping Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:332. [PMID: 38399619 PMCID: PMC10890632 DOI: 10.3390/medicina60020332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/05/2024] [Accepted: 02/11/2024] [Indexed: 02/25/2024]
Abstract
Background and Objectives: Advances in virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies have resulted in their increased application across many medical specialties. VR's main application has been for teaching and preparatory roles, while AR has been mostly used as a surgical adjunct. The objective of this study is to discuss the various applications and prospects for VR, AR, and MR specifically as they relate to spine surgery. Materials and Methods: A systematic review was conducted to examine the current applications of VR, AR, and MR with a focus on spine surgery. A literature search of two electronic databases (PubMed and Scopus) was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The study quality was assessed using the MERSQI score for educational research studies, QUACS for cadaveric studies, and the JBI critical appraisal tools for clinical studies. Results: A total of 228 articles were identified in the primary literature review. Following title/abstract screening and full-text review, 46 articles were included in the review. These articles comprised nine studies performed in artificial models, nine cadaveric studies, four clinical case studies, nineteen clinical case series, one clinical case-control study, and four clinical parallel control studies. Teaching applications utilizing holographic overlays are the most intensively studied aspect of AR/VR; the most simulated surgical procedure is pedicle screw placement. Conclusions: VR provides a reproducible and robust medium for surgical training through surgical simulations and for patient education through various platforms. Existing AR/MR platforms enhance the accuracy and precision of spine surgeries and show promise as a surgical adjunct.
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Affiliation(s)
- Tim Bui
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Miguel A. Ruiz-Cardozo
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Harsh S. Dave
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Karma Barot
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Michael Ryan Kann
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Karan Joseph
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sofia Lopez-Alviar
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Gabriel Trevino
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Samuel Brehm
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Alexander T. Yahanda
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Camilo A Molina
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
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Kann MR, Ruiz-Cardozo MA, Brehm S, Bui T, Joseph K, Barot K, Trevino G, Carey-Ewend A, Singh SP, De La Paz M, Hanafy A, Olufawo M, Patel RP, Yahanda AT, Perdomo-Pantoja A, Jauregui JJ, Cadieux M, Pennicooke B, Molina CA. Utilization of Augmented Reality Head-Mounted Display for the Surgical Management of Thoracolumbar Spinal Trauma. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:281. [PMID: 38399568 PMCID: PMC10890598 DOI: 10.3390/medicina60020281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/30/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024]
Abstract
Background and Objectives: Augmented reality head-mounted display (AR-HMD) is a novel technology that provides surgeons with a real-time CT-guided 3-dimensional recapitulation of a patient's spinal anatomy. In this case series, we explore the use of AR-HMD alongside more traditional robotic assistance in surgical spine trauma cases to determine their effect on operative costs and perioperative outcomes. Materials and Methods: We retrospectively reviewed trauma patients who underwent pedicle screw placement surgery guided by AR-HMD or robotic-assisted platforms at an academic tertiary care center between 1 January 2021 and 31 December 2022. Outcome distributions were compared using the Mann-Whitney U test. Results: The AR cohort (n = 9) had a mean age of 66 years, BMI of 29.4 kg/m2, Charlson Comorbidity Index (CCI) of 4.1, and Surgical Invasiveness Index (SII) of 8.8. In total, 77 pedicle screws were placed in this cohort. Intra-operatively, there was a mean blood loss of 378 mL, 0.78 units transfused, 398 min spent in the operating room, and a 20-day LOS. The robotic cohort (n = 13) had a mean age of 56 years, BMI of 27.1 kg/m2, CCI of 3.8, and SII of 14.2. In total, 128 pedicle screws were placed in this cohort. Intra-operatively, there was a mean blood loss of 432 mL, 0.46 units transfused units used, 331 min spent in the operating room, and a 10.4-day LOS. No significant difference was found between the two cohorts in any outcome metrics. Conclusions: Although the need to address urgent spinal conditions poses a significant challenge to the implementation of innovative technologies in spine surgery, this study represents an initial effort to show that AR-HMD can yield comparable outcomes to traditional robotic surgical techniques. Moreover, it highlights the potential for AR-HMD to be readily integrated into Level 1 trauma centers without requiring extensive modifications or adjustments.
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Affiliation(s)
- Michael Ryan Kann
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Miguel A. Ruiz-Cardozo
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Samuel Brehm
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tim Bui
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Karan Joseph
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Karma Barot
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Gabriel Trevino
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Abigail Carey-Ewend
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Som P. Singh
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Matthew De La Paz
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ahmed Hanafy
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Michael Olufawo
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rujvee P. Patel
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Alexander T. Yahanda
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Alexander Perdomo-Pantoja
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Julio J. Jauregui
- Department of Orthopedic Surgery, University of Maryland Medical System, Baltimore, MD 21201, USA
| | - Magalie Cadieux
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Brenton Pennicooke
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Orthopedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Camilo A. Molina
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Orthopedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
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Bian D, Lin Z, Lu H, Zhong Q, Wang K, Tang X, Zang J. The application of extended reality technology-assisted intraoperative navigation in orthopedic surgery. Front Surg 2024; 11:1336703. [PMID: 38375409 PMCID: PMC10875025 DOI: 10.3389/fsurg.2024.1336703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 01/23/2024] [Indexed: 02/21/2024] Open
Abstract
Extended reality (XR) technology refers to any situation where real-world objects are enhanced with computer technology, including virtual reality, augmented reality, and mixed reality. Augmented reality and mixed reality technologies have been widely applied in orthopedic clinical practice, including in teaching, preoperative planning, intraoperative navigation, and surgical outcome evaluation. The primary goal of this narrative review is to summarize the effectiveness and superiority of XR-technology-assisted intraoperative navigation in the fields of trauma, joint, spine, and bone tumor surgery, as well as to discuss the current shortcomings in intraoperative navigation applications. We reviewed titles of more than 200 studies obtained from PubMed with the following search terms: extended reality, mixed reality, augmented reality, virtual reality, intraoperative navigation, and orthopedic surgery; of those 200 studies, 69 related papers were selected for abstract review. Finally, the full text of 55 studies was analyzed and reviewed. They were classified into four groups-trauma, joint, spine, and bone tumor surgery-according to their content. Most of studies that we reviewed showed that XR-technology-assisted intraoperative navigation can effectively improve the accuracy of implant placement, such as that of screws and prostheses, reduce postoperative complications caused by inaccurate implantation, facilitate the achievement of tumor-free surgical margins, shorten the surgical duration, reduce radiation exposure for patients and surgeons, minimize further damage caused by the need for visual exposure during surgery, and provide richer and more efficient intraoperative communication, thereby facilitating academic exchange, medical assistance, and the implementation of remote healthcare.
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Affiliation(s)
- Dongxiao Bian
- Department of Musculoskeletal Tumor, Peking University People’s Hospital, Beijing, China
| | - Zhipeng Lin
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China
| | - Hao Lu
- Traumatic Orthopedic Department, Peking University People’s Hospital, Beijing, China
| | - Qunjie Zhong
- Arthritis Clinic and Research Center, Peking University People’s Hospital, Beijing, China
| | - Kaifeng Wang
- Spinal Surgery Department, Peking University People’s Hospital, Beijing, China
| | - Xiaodong Tang
- Department of Musculoskeletal Tumor, Peking University People’s Hospital, Beijing, China
| | - Jie Zang
- Department of Musculoskeletal Tumor, Peking University People’s Hospital, Beijing, China
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Ghenbot Y, Ahmad HS, Chauhan D, Wathen C, Arena J, Turlip R, Parr R, Gibby W, Yoon JW. Effects of Augmented Reality on Thoracolumbar Pedicle Screw Instrumentation Across Different Levels of Surgical Experience. World Neurosurg 2024; 182:e284-e291. [PMID: 38008167 DOI: 10.1016/j.wneu.2023.11.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 11/28/2023]
Abstract
OBJECTIVE Augmented reality (AR) is an emerging technology that may accelerate skill acquisition and improve accuracy of thoracolumbar pedicle screw placements. We aimed to quantify the relative assistance of AR compared with freehand (FH) pedicle screw accuracy across different surgical experience levels. METHODS A spine fellowship-trained and board-certified attending neurosurgeon, postgraduate year 4 neurosurgery resident, and second-year medical student placed 32 FH and 32 AR-assisted thoracolumbar pedicle screws in 3 cadavers. A cableless, voice-activated AR system was paired with a headset. Accuracy was assessed using χ2 analysis and the Gertzbein-Robbins scale. Angular error, distance error, and time per pedicle screw were collected and compared. RESULTS The attending neurosurgeon had 91.6% (11/12) clinically acceptable (Gertzbein-Robbins scale A or B) insertion in both FH and AR groups; the resident neurosurgeon had 100% (9/9) FH and AR in both cases; the medical student had 72.3% (8/11) FH accuracy and 81.8% (9/11) AR accuracy. The medical student displayed significantly lower ideal (Gertzbein-Robbins scale A) FH accuracy compared with the resident neurosurgeon (P = 0.017) and attending neurosurgeon (P = 0.005), but no difference when using AR. FH screw placement was faster by both the attending neurosurgeon (median 46 seconds vs. 94.5 seconds, P = 0.0047) and the neurosurgery resident neurosurgeon (median 144 seconds vs. 140 seconds, P = 0.05). Total clinically acceptable AR and FH accuracy was 90.6% (29/32) and 87.5% (28/32), respectively (P = 0.69). CONCLUSIONS AR screw placement allowed an inexperienced medical student to double their accuracy in 1 training session. With subsequent iterations, this promising technology could serve as an important tool for surgical training.
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Affiliation(s)
- Yohannes Ghenbot
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Hasan S Ahmad
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Daksh Chauhan
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Connor Wathen
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Arena
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ryan Turlip
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ryan Parr
- Novarad Corporation, Provo, Utah, USA
| | - Wendell Gibby
- Novarad Corporation, Provo, Utah, USA; Department of Radiology, University of California San Diego School of Medicine, San Diego, California, USA
| | - Jang W Yoon
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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Pose-Díez-de-la-Lastra A, Ungi T, Morton D, Fichtinger G, Pascau J. Real-time integration between Microsoft HoloLens 2 and 3D Slicer with demonstration in pedicle screw placement planning. Int J Comput Assist Radiol Surg 2023; 18:2023-2032. [PMID: 37310561 PMCID: PMC10589185 DOI: 10.1007/s11548-023-02977-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 05/23/2023] [Indexed: 06/14/2023]
Abstract
PURPOSE Up to date, there has been a lack of software infrastructure to connect 3D Slicer to any augmented reality (AR) device. This work describes a novel connection approach using Microsoft HoloLens 2 and OpenIGTLink, with a demonstration in pedicle screw placement planning. METHODS We developed an AR application in Unity that is wirelessly rendered onto Microsoft HoloLens 2 using Holographic Remoting. Simultaneously, Unity connects to 3D Slicer using the OpenIGTLink communication protocol. Geometrical transform and image messages are transferred between both platforms in real time. Through the AR glasses, a user visualizes a patient's computed tomography overlaid onto virtual 3D models showing anatomical structures. We technically evaluated the system by measuring message transference latency between the platforms. Its functionality was assessed in pedicle screw placement planning. Six volunteers planned pedicle screws' position and orientation with the AR system and on a 2D desktop planner. We compared the placement accuracy of each screw with both methods. Finally, we administered a questionnaire to all participants to assess their experience with the AR system. RESULTS The latency in message exchange is sufficiently low to enable real-time communication between the platforms. The AR method was non-inferior to the 2D desktop planner, with a mean error of 2.1 ± 1.4 mm. Moreover, 98% of the screw placements performed with the AR system were successful, according to the Gertzbein-Robbins scale. The average questionnaire outcomes were 4.5/5. CONCLUSIONS Real-time communication between Microsoft HoloLens 2 and 3D Slicer is feasible and supports accurate planning for pedicle screw placement.
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Affiliation(s)
| | - Tamas Ungi
- Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, K7M2N8, Canada
| | - David Morton
- Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, K7M2N8, Canada
| | - Gabor Fichtinger
- Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, K7M2N8, Canada
| | - Javier Pascau
- Departamento de Bioingeniería, Universidad Carlos III de Madrid, 28911, Leganés, Spain
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Hey G, Guyot M, Carter A, Lucke-Wold B. Augmented Reality in Neurosurgery: A New Paradigm for Training. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1721. [PMID: 37893439 PMCID: PMC10608758 DOI: 10.3390/medicina59101721] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/23/2023] [Accepted: 09/24/2023] [Indexed: 10/29/2023]
Abstract
Augmented reality (AR) involves the overlay of computer-generated images onto the user's real-world visual field to modify or enhance the user's visual experience. With respect to neurosurgery, AR integrates preoperative and intraoperative imaging data to create an enriched surgical experience that has been shown to improve surgical planning, refine neuronavigation, and reduce operation time. In addition, AR has the potential to serve as a valuable training tool for neurosurgeons in a way that minimizes patient risk while facilitating comprehensive training opportunities. The increased use of AR in neurosurgery over the past decade has led to innovative research endeavors aiming to develop novel, more efficient AR systems while also improving and refining present ones. In this review, we provide a concise overview of AR, detail current and emerging uses of AR in neurosurgery and neurosurgical training, discuss the limitations of AR, and provide future research directions. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 386 articles were initially identified. Two independent reviewers (GH and AC) assessed article eligibility for inclusion, and 31 articles are included in this review. The literature search included original (retrospective and prospective) articles and case reports published in English between 2013 and 2023. AR assistance has shown promise within neuro-oncology, spinal neurosurgery, neurovascular surgery, skull-base surgery, and pediatric neurosurgery. Intraoperative use of AR was found to primarily assist with surgical planning and neuronavigation. Similarly, AR assistance for neurosurgical training focused primarily on surgical planning and neuronavigation. However, studies included in this review utilize small sample sizes and remain largely in the preliminary phase. Thus, future research must be conducted to further refine AR systems before widespread intraoperative and educational use.
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Affiliation(s)
- Grace Hey
- College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Michael Guyot
- College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Ashley Carter
- Eastern Virginia Medical School, Norfolk, VA 23507, USA
| | - Brandon Lucke-Wold
- Department of Neurosurgery, University of Florida, Gainesville, FL 32610, USA
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Luca A, Giorgino R. Augmented and virtual reality in spine surgery. J Orthop 2023; 43:30-35. [PMID: 37555206 PMCID: PMC10405158 DOI: 10.1016/j.jor.2023.07.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 08/10/2023] Open
Abstract
Augmented Reality (AR) and Virtual Reality (VR) have developed unprecedentedly in recent years, providing interesting opportunities for medical applications. Their integration into clinical assessment, surgical workflow, and training has shown tremendous potential to improve daily life activity in spine surgery. The paper explores the utilization of VR and AR in spine surgery, with their applications, benefits, challenges, and forthcoming prospects.
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Affiliation(s)
- Andrea Luca
- Spine Unit III, IRCSS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Riccardo Giorgino
- Residency Program in Orthopaedics and Traumatology, University of Milan, 20141, Milan, Italy
- IRCCS Istituto Ortopedico Galeazzi, 20161, Milan, Italy
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Pierzchajlo N, Stevenson TC, Huynh H, Nguyen J, Boatright S, Arya P, Chakravarti S, Mehrki Y, Brown NJ, Gendreau J, Lee SJ, Chen SG. Augmented Reality in Minimally Invasive Spinal Surgery: A Narrative Review of Available Technology. World Neurosurg 2023; 176:35-42. [PMID: 37059357 DOI: 10.1016/j.wneu.2023.04.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 04/08/2023] [Indexed: 04/16/2023]
Abstract
INTRODUCTION Spine surgery has undergone significant changes in approach and technique. With the adoption of intraoperative navigation, minimally invasive spinal surgery (MISS) has arguably become the gold standard. Augmented reality (AR) has now emerged as a front-runner in anatomical visualization and narrower operative corridors. In effect, AR is poised to revolutionize surgical training and operative outcomes. Our study examines the current literature on AR-assisted MISS, synthesizes findings, and creates a narrative highlighting the history and future of AR in spine surgery. MATERIAL AND METHODS Relevant literature was gathered using the PubMed (Medline) database from 1975 to 2023. Pedicle screw placement models were the primary intervention in AR. These were compared to the outcomes of traditional MISS RESULTS: We found that AR devices on the market show promising clinical outcomes in preoperative training and intraoperative use. Three prominent systems were as follows: XVision, HoloLens, and ImmersiveTouch. In the studies, surgeons, residents, and medical students had opportunities to operate AR systems, showcasing their educational potential across each phase of learning. Specifically, one facet described training with cadaver models to gauge accuracy in pedicle screw placement. AR-MISS exceeded free-hand methods without unique complications or contraindications. CONCLUSIONS While still in its infancy, AR has already proven beneficial for educational training and intraoperative MISS applications. We believe that with continued research and advancement of this technology, AR is poised to become a dominant player within the fundamentals of surgical education and MISS operative technique.
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Affiliation(s)
| | | | - Huey Huynh
- Mercer University, School of Medicine, Savannah, GA, USA
| | - Jimmy Nguyen
- Mercer University, School of Medicine, Savannah, GA, USA
| | | | - Priya Arya
- Mercer University, School of Medicine, Savannah, GA, USA
| | | | - Yusuf Mehrki
- Department of Neurosurgery, University of Florida, Jacksonville, FL, USA
| | - Nolan J Brown
- Department of Neurosurgery, University of California Irvine, Orange, CA, USA
| | - Julian Gendreau
- Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
| | - Seung Jin Lee
- Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA
| | - Selby G Chen
- Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA
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11
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Willett A, Haq M, Holland J, Bridwell E. Commentary: Augmented reality in neurosurgery, state of art and future projections. A systematic review. Front Surg 2023; 10:1218308. [PMID: 37456148 PMCID: PMC10349390 DOI: 10.3389/fsurg.2023.1218308] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
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12
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Yamout T, Orosz LD, Good CR, Jazini E, Allen B, Gum JL. Technological Advances in Spine Surgery: Navigation, Robotics, and Augmented Reality. Orthop Clin North Am 2023; 54:237-246. [PMID: 36894295 DOI: 10.1016/j.ocl.2022.11.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Accurate screw placement is critical to avoid vascular or neurologic complications during spine surgery and to maximize fixation for fusion and deformity correction. Computer-assisted navigation, robotic-guided spine surgery, and augmented reality surgical navigation are currently available technologies that have been developed to improve screw placement accuracy. The advent of multiple generations of new technologies within the past 3 decades has presented surgeons with a diverse array of choices when it comes to pedicle screw placement. Considerations for patient safety and optimal outcomes must be paramount when selecting a technology.
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Affiliation(s)
- Tarek Yamout
- Virginia Spine Institute, 11800 Sunrise Valley Drive, Suite 800, Reston, VA 20191, USA
| | - Lindsay D Orosz
- National Spine Health Foundation, 11800 Sunrise Valley Drive, Suite 330, Reston, VA 20191, USA
| | - Christopher R Good
- Virginia Spine Institute, 11800 Sunrise Valley Drive, Suite 800, Reston, VA 20191, USA
| | - Ehsan Jazini
- Virginia Spine Institute, 11800 Sunrise Valley Drive, Suite 800, Reston, VA 20191, USA
| | - Brandon Allen
- National Spine Health Foundation, 11800 Sunrise Valley Drive, Suite 330, Reston, VA 20191, USA
| | - Jeffrey L Gum
- Norton Leatherman Spine Center, 210 East Gray Street Suite 900, Louisville, KY 40202, USA.
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13
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Avrumova F, Lebl DR. Augmented reality for minimally invasive spinal surgery. Front Surg 2023; 9:1086988. [PMID: 36776471 PMCID: PMC9914175 DOI: 10.3389/fsurg.2022.1086988] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/28/2022] [Indexed: 01/28/2023] Open
Abstract
Background Augmented reality (AR) is an emerging technology that can overlay computer graphics onto the real world and enhance visual feedback from information systems. Within the past several decades, innovations related to AR have been integrated into our daily lives; however, its application in medicine, specifically in minimally invasive spine surgery (MISS), may be most important to understand. AR navigation provides auditory and haptic feedback, which can further enhance surgeons' capabilities and improve safety. Purpose The purpose of this article is to address previous and current applications of AR, AR in MISS, limitations of today's technology, and future areas of innovation. Methods A literature review related to applications of AR technology in previous and current generations was conducted. Results AR systems have been implemented for treatments related to spinal surgeries in recent years, and AR may be an alternative to current approaches such as traditional navigation, robotically assisted navigation, fluoroscopic guidance, and free hand. As AR is capable of projecting patient anatomy directly on the surgical field, it can eliminate concern for surgeon attention shift from the surgical field to navigated remote screens, line-of-sight interruption, and cumulative radiation exposure as the demand for MISS increases. Conclusion AR is a novel technology that can improve spinal surgery, and limitations will likely have a great impact on future technology.
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14
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Zary N, Eysenbach G, Van Doormaal TPC, Ruurda JP, Van der Kaaij NP, De Heer LM. Mixed Reality in Modern Surgical and Interventional Practice: Narrative Review of the Literature. JMIR Serious Games 2023; 11:e41297. [PMID: 36607711 PMCID: PMC9947976 DOI: 10.2196/41297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 10/17/2022] [Accepted: 10/31/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Mixed reality (MR) and its potential applications have gained increasing interest within the medical community over the recent years. The ability to integrate virtual objects into a real-world environment within a single video-see-through display is a topic that sparks imagination. Given these characteristics, MR could facilitate preoperative and preinterventional planning, provide intraoperative and intrainterventional guidance, and aid in education and training, thereby improving the skills and merits of surgeons and residents alike. OBJECTIVE In this narrative review, we provide a broad overview of the different applications of MR within the entire spectrum of surgical and interventional practice and elucidate on potential future directions. METHODS A targeted literature search within the PubMed, Embase, and Cochrane databases was performed regarding the application of MR within surgical and interventional practice. Studies were included if they met the criteria for technological readiness level 5, and as such, had to be validated in a relevant environment. RESULTS A total of 57 studies were included and divided into studies regarding preoperative and interventional planning, intraoperative and interventional guidance, as well as training and education. CONCLUSIONS The overall experience with MR is positive. The main benefits of MR seem to be related to improved efficiency. Limitations primarily seem to be related to constraints associated with head-mounted display. Future directions should be aimed at improving head-mounted display technology as well as incorporation of MR within surgical microscopes, robots, and design of trials to prove superiority.
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Affiliation(s)
| | | | - Tristan P C Van Doormaal
- University Medical Center Utrecht, Utrecht, Netherlands.,University Hospital Zurich, Zurich, Switzerland
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15
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Judy BF, Liu A, Jin Y, Ronkon C, Khan M, Cottrill E, Ehresman J, Pennington Z, Bydon A, Lo SFL, Sciubba DM, Molina CA, Witham TF. In-Human Report of S2 Alar-Iliac Screw Placement Using Augmented Reality Assistance. Oper Neurosurg (Hagerstown) 2023; 24:68-73. [PMID: 36519880 DOI: 10.1227/ons.0000000000000439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 07/29/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND S2 alar-iliac (S2AI) screws provide spinopelvic fixation with the advantages of minimized dissection, easier rod contouring, and decreased symptomatic screw-head prominence. However, placement of S2AI screws may be challenging because of the anatomy of the lumbosacral junction. Augmented reality is a nascent technology that may enhance placement of S2AI screws. OBJECTIVE To report the first in-human placement of augmented reality (AR)-assisted S2 alar-iliac screws and evaluate the accuracy of screw placement. METHODS A retrospective review was performed of patients who underwent AR-assisted S2AI screw placement. All surgeries were performed by 2 neurosurgeons using an AR head-mounted display (Xvision, Augmedics). Screw accuracy was analyzed in a blinded fashion by an independent neuroradiologist using the cortical breach grading scale. RESULTS Twelve patients underwent AR-assisted S2AI screw placement for a total of 23 screws. Indications for surgery included deformity, degenerative disease, and tumor. Twenty-two screws (95.6%) were accurate-defined as grade 0 or grade 1. Twenty-one screws (91.3%) were classified as grade 0, 1 screw (4.3%) was grade 1, and 1 screw (4.3%) was grade 3. All breaches were asymptomatic. CONCLUSION AR-assisted S2AI screw placement had an overall accuracy rate of 95.6% (grade 0 and grade 1 screws) in a cohort of 12 patients and 23 screws. This compares favorably with freehand and robotic placement. 1,2 AR enables spine surgeons to both better visualize anatomy and accurately place spinal instrumentation. Future studies are warranted to research the learning curve and cost analysis of AR-assisted spine surgery.
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Affiliation(s)
- Brendan F Judy
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ann Liu
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yike Jin
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charles Ronkon
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Majid Khan
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Ethan Cottrill
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jeff Ehresman
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Zach Pennington
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ali Bydon
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sheng-Fu L Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA
| | - Camilo A Molina
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Timothy F Witham
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Khan T, Biehl JT, Andrews EG, Babichenko D. A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation. Healthc Technol Lett 2022; 9:91-101. [PMID: 36514478 PMCID: PMC9731545 DOI: 10.1049/htl2.12036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/02/2022] [Accepted: 09/05/2022] [Indexed: 12/16/2022] Open
Abstract
With the advent of augmented reality (AR), the use of AR-guided systems in the field of medicine has gained traction. However, the wide-scale adaptation of these systems requires highly accurate and reliable tracking. In this work, the tracking accuracy of two technology platforms, LiDAR and Vuforia, are developed and rigorously tested for a catheter placement neurological procedure. Several experiments (900) are performed for each technology across various combinations of catheter lengths and insertion trajectories. This analysis shows that the LiDAR platform outperformed Vuforia; which is the state-of-the-art in monocular RGB tracking solutions. LiDAR had 75% less radial distance error and 26% less angle deviation error. Results provide key insights into the value and utility of LiDAR-based tracking in AR guidance systems.
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Affiliation(s)
- Talha Khan
- School of Computing and InformationUniversity of PittsburghPittsburghPAUSA
| | - Jacob T. Biehl
- School of Computing and InformationUniversity of PittsburghPittsburghPAUSA
| | - Edward G. Andrews
- Department of Neurological SurgerySchool of MedicineUniversity of PittsburghPittsburghPAUSA
| | - Dmitriy Babichenko
- School of Computing and InformationUniversity of PittsburghPittsburghPAUSA
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Mozaffari K, Foster CH, Rosner MK. Practical Use of Augmented Reality Modeling to Guide Revision Spine Surgery: An Illustrative Case of Hardware Failure and Overriding Spondyloptosis. Oper Neurosurg (Hagerstown) 2022; 23:212-216. [PMID: 35972084 PMCID: PMC9362336 DOI: 10.1227/ons.0000000000000307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/03/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND AND IMPORTANCE Augmented reality (AR) is a novel technology with broadening applications to neurosurgery. In deformity spine surgery, it has been primarily directed to the more precise placement of pedicle screws. However, AR may also be used to generate high fidelity three-dimensional (3D) spine models for cases of advanced deformity with existing instrumentation. We present a case in which an AR-generated 3D model was used to facilitate and expedite the removal of embedded instrumentation and guide the reduction of an overriding spondyloptotic deformity. CLINICAL PRESENTATION A young adult with a remote history of a motor vehicle accident treated with long-segment posterior spinal stabilization presented with increasing back pain and difficulty sitting upright in a wheelchair. Imaging revealed pseudoarthrosis with multiple rod fractures resulting in an overriding spondyloptosis of T6 on T9. An AR-generated 3D model was useful in the intraoperative localization of rod breaks and other extensively embedded instrumentation. Real-time model thresholding expedited the safe explanation of the defunct system and correction of the spondyloptosis deformity. CONCLUSION An AR-generated 3D model proved instrumental in a revision case of hardware failure and high-grade spinal deformity.
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Affiliation(s)
- Khashayar Mozaffari
- Department of Neurological Surgery, The George Washington University Hospital, Washington, District of Columbia, USA
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18
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Harel R, Anekstein Y, Raichel M, Molina CA, Ruiz-Cardozo MA, Orrú E, Khan M, Mirovsky Y, Smorgick Y. The XVS System During Open Spinal Fixation Procedures in Patients Requiring Pedicle Screw Placement in the Lumbosacral Spine. World Neurosurg 2022; 164:e1226-e1232. [PMID: 35671991 DOI: 10.1016/j.wneu.2022.05.134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 05/30/2022] [Accepted: 05/31/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This pilot study was undertaken to evaluate the safety, performance, and usability of the Xvision-Spine (XVS) System (Augmedics, Arlington Heights, IL) during open spinal fixation procedures in patients requiring pedicle screw placement in the lumbosacral spine. METHODS The XVS System is an augmented reality head-mounted display (HMD) based on a computer navigation system designed to assist surgeons in accurately placing pedicle screws. It uses an HMD-mounted tracking camera to provide optical tracking technology, and provides the surgeon a translucent direct near-eye display of the navigated surgical instrument's location relative to the computed tomographic image. We report the preliminary results of a prospective series of all consecutive patients who underwent augmented reality-assisted pedicle screw placement in the lumbosacral vertebrae at 3 institutions. Clinical accuracy for each pedicle screw was graded with Gertzbein-Robbins scores by 2 independent and blinded neuroradiologists. RESULTS The 19 study participants included 8 men and 11 women with a mean age of 59.13 ± 12.09 and 59.91 ± 12.89 years, respectively. Seventeen procedures were successfully completed via the XVS System. Two procedures were not completed due to technical issues with the system's intraoperative scanner. A total of 86 screws were inserted. The accuracy of the XVS System was 97.7%. CONCLUSIONS The XVS System's performance in accurate placement of pedicle screws in the lumbosacral vertebrae had an overall accuracy of 97.7%. These preliminary results were comparable to the accuracy of other manual computer-assisted navigation systems reported in the literature.
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Affiliation(s)
- Ran Harel
- Department of Neurosurgery and the Spine Unit, Sheba Medical Center, Tel Hashomer, Israel, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Yoram Anekstein
- Department of Orthopedic Surgery and the Spine Unit, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michael Raichel
- Department of Orthopedic Surgery and the Spine Unit, Haemek Medical Center, Affula, Israel
| | - Camilo A Molina
- Department of Neurosurgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Miguel A Ruiz-Cardozo
- Department of Neurosurgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Emanuele Orrú
- Department of Neuroradiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Majid Khan
- Department of Neurosurgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Yigal Mirovsky
- Department of Orthopedic Surgery and the Spine Unit, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Yossi Smorgick
- Department of Orthopedic Surgery and the Spine Unit, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel, affiliated to the Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
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Abdulla E, Rahman S, Rahman MM. Letter to the Editor. Pedicle screw placement: head-mounted display-based augmented reality for better precision. J Neurosurg Spine 2022; 37:629-630. [PMID: 35523254 DOI: 10.3171/2022.3.spine22267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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20
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Feasibility and Accuracy of Thoracolumbar Pedicle Screw Placement Using an Augmented Reality Head Mounted Device. SENSORS 2022; 22:s22020522. [PMID: 35062483 PMCID: PMC8779462 DOI: 10.3390/s22020522] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/30/2021] [Accepted: 01/06/2022] [Indexed: 02/06/2023]
Abstract
Background: To investigate the accuracy of augmented reality (AR) navigation using the Magic Leap head mounted device (HMD), pedicle screws were minimally invasively placed in four spine phantoms. Methods: AR navigation provided by a combination of a conventional navigation system integrated with the Magic Leap head mounted device (AR-HMD) was used. Forty-eight screws were planned and inserted into Th11-L4 of the phantoms using the AR-HMD and navigated instruments. Postprocedural CT scans were used to grade the technical (deviation from the plan) and clinical (Gertzbein grade) accuracy of the screws. The time for each screw placement was recorded. Results: The mean deviation between navigation plan and screw position was 1.9 ± 0.7 mm (1.9 [0.3–4.1] mm) at the entry point and 1.4 ± 0.8 mm (1.2 [0.1–3.9] mm) at the screw tip. The angular deviation was 3.0 ± 1.4° (2.7 [0.4–6.2]°) and the mean time for screw placement was 130 ± 55 s (108 [58–437] s). The clinical accuracy was 94% according to the Gertzbein grading scale. Conclusion: The combination of an AR-HMD with a conventional navigation system for accurate minimally invasive screw placement is feasible and can exploit the benefits of AR in the perspective of the surgeon with the reliability of a conventional navigation system.
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Visualization, navigation, augmentation. The ever-changing perspective of the neurosurgeon. BRAIN AND SPINE 2022; 2:100926. [PMID: 36248169 PMCID: PMC9560703 DOI: 10.1016/j.bas.2022.100926] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/23/2022] [Accepted: 08/10/2022] [Indexed: 11/22/2022]
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22
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Toop N, Grossbach A, Gibbs D, Akhter A, Keister A, Maggio D, Oosten J, Deistler K, Gilkey T, Farhadi HF, Viljoen S. Static cage morphology in short-segment transforaminal lumbar interbody fusions is associated with alterations in foraminal height but not clinical outcomes. World Neurosurg 2021; 159:e389-e398. [PMID: 34954441 DOI: 10.1016/j.wneu.2021.12.066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 12/16/2021] [Accepted: 12/16/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Steerable "banana" cages have been posited to increase segmental lordosis in short-segment transforaminal lumbar interbody fusions (TLIF). The same is not necessarily true for straight "bullet" cages. While increased lordosis is generally thought to be advantageous, a potential complication is decreased foraminal height. Here we evaluate for any association between cage type and change in foraminal height and clinical outcomes following short-segment TLIFs. METHODS We retrospectively reviewed consecutive one- and two-level TLIFs with bilateral facetectomies with minimum one-year clinical and radiographic follow-up. Two cohorts were based on cage morphology: steerable "banana" cage or straight "bullet" cage. Patient reported outcome measures (PROMs), radiographic measurements, and revision rates were compared. RESULTS 46 patients with 53 straight and 95 patients with 131 steerable cage levels were included. Steerable cages showed increased segmental lordosis (9.1 vs 13.5°, p<0.001) and decreased foraminal height (20.3 vs 18.5 mm, p<0.001) after surgery. Straight cages demonstrated similar segmental lordosis (8.7 vs 8.1°, p=0.30) and foraminal height (19.4 vs 20.0 mm, p=0.065). Both cohorts showed improved PROMs at last follow-up (p≤0.005). Sub-analysis comparing patients that had increased or decreased foraminal height revealed similarly improved PROMs between cohorts. Revision rates at one-year were similar between cohorts (4.3% for straight and 3.2% for steerable group, p=0.72). CONCLUSION Although the increased segmental lordosis afforded by placement of steerable cages may decrease foraminal height after short segment TLIF, clinical outcomes are not negatively affected by this association.
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Affiliation(s)
- Nathaniel Toop
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Andrew Grossbach
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - David Gibbs
- The Ohio State University College of Medicine, Columbus, Ohio, United States
| | - Asad Akhter
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Alexander Keister
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Dominic Maggio
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - James Oosten
- The Ohio State University College of Medicine, Columbus, Ohio, United States
| | - Kyle Deistler
- The Ohio State University College of Medicine, Columbus, Ohio, United States
| | - Ty Gilkey
- The Ohio State University College of Medicine, Columbus, Ohio, United States
| | - H Francis Farhadi
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
| | - Stephanus Viljoen
- Department of Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States
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