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Lebovic J, Galetta MS, Sardar ZM, Goytan M, Daniels AH, Miyanji F, Smith JS, Burton DC, Protopsaltis TS. Enabling technology in adult spinal deformity. Spine Deform 2025:10.1007/s43390-025-01086-z. [PMID: 40234366 DOI: 10.1007/s43390-025-01086-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 03/21/2025] [Indexed: 04/17/2025]
Abstract
This review analyzes enabling technology in Adult Spinal Deformity (ASD), with a focus on optimizing safety and teaching. The prevalence of ASD is rising, and recent technological advancements can empower surgeons to improve outcomes for ASD patients but also each comes with specific challenges. The paper highlights opportunities and potential obstacles in effective technology integration and assesses key enabling technologies, including surgical planning software, machine leaning, three-dimensional printing, augmented and virtual reality, patient-specific instrumentation as well as navigation and robotics.
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Affiliation(s)
- Jordan Lebovic
- Department of Orthopedic Surgery, NYU Langone Orthopedic Hospital, New York, NY, USA
| | - Matthew S Galetta
- Department of Orthopedic Surgery, NYU Langone Orthopedic Hospital, New York, NY, USA.
| | - Zeeshan M Sardar
- Department of Orthopaedic Surgery, Columbia University Medical Center, The Spine Hospital at New York Presbyterian, New York, USA
| | - Michael Goytan
- Winnipeg Spine Program, Health Sciences Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Alan H Daniels
- Department of Orthopedics, Warren Alpert Medical School of Brown University, East Providence, RI, USA
| | - Firoz Miyanji
- Department of Orthopaedics, British Columbia Children's Hospital, Vancouver, BC, Canada
| | - Justin S Smith
- Department of Neurosurgery, University of Virginia Medical Center, Charlottesville, VA, USA
| | - Douglas C Burton
- Department of Orthopaedic Surgery, Medical Center, University of Kansas, Kansas City, KS, USA
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Shahzad H, Saade A, Tse S, Simister S, Viola A, Muthu S, Singh H, Ambrosio L, Tavakoli J, Vetter SY, Louie P, Cho S, Yoon ST, Jain A, Le H. Advancements and Challenges in Computer-Assisted Navigation for Cervical Spine Surgery: A Comprehensive Review of Perioperative Integration, Complications, and Emerging Technologies. Global Spine J 2025:21925682251329340. [PMID: 40183132 PMCID: PMC11977616 DOI: 10.1177/21925682251329340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Revised: 03/06/2025] [Accepted: 03/07/2025] [Indexed: 04/05/2025] Open
Abstract
Study DesignA narrative review of the current literature on the application of Computer-Assisted Navigation (CAN) in cervical spine surgeries.ObjectiveTo analyze the perioperative integration, types of CAN systems, technical considerations, and clinical applications of CAN in cervical spine surgeries, as well as to assess the associated complications and potential strategies to minimize these risks.MethodsA comprehensive review of published studies between 2015 and 2024 was conducted to evaluate the usage, benefits, and challenges of CAN in cervical spine surgeries. The review covered perioperative integration, system types, complications, and emerging technologies, including augmented reality (AR) and robotics.ResultsThe use of CAN in cervical spine surgeries provides improved accuracy in screw placement and reduced neurovascular complications. However, the review identified several limitations, such as a steep learning curve, cost considerations, and potential inaccuracies related to cervical spine mobility.ConclusionsCAN offers significant benefits in cervical spine surgeries, including enhanced precision and reduced complications. Despite the current limitations, advancements in AR and robotics hold promise for improving the safety and effectiveness of CAN in cervical procedures. The future focus should be on overcoming the existing challenges to increase the adoption of CAN in cervical spine surgeries.
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Affiliation(s)
| | | | | | | | - Anthony Viola
- University of Connecticut Health Center, Farmington, CT, USA
| | - Sathish Muthu
- Department of Orthopaedics, Orthopaedic Research Group, Coimbatore, India
- Department of Spine Surgery, Orthopaedic Research Group, Coimbatore, India
- Central Research Laboratory, Meenakshi Medical College Hospital and Research Institute, Meenakshi Academy of Higher Education and Research, Chennai, India
| | - Hardeep Singh
- University of Connecticut Health Center, Farmington, CT, USA
| | - Luca Ambrosio
- Research Unit of Orthopaedic and Trauma Surgery, Department of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
- Operative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Javad Tavakoli
- School of Engineering, RMIT University, Melbourne, VIC, Australia
| | | | | | - Samuel Cho
- Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Amit Jain
- Johns Hopkins Medicine, Baltimore, MD, USA
| | - Hai Le
- UC Davis Health, Sacramento, CA, USA
| | - AO Spine Knowledge Forum Degenerative
- UC Davis Health, Sacramento, CA, USA
- Department of Orthopaedics, Orthopaedic Research Group, Coimbatore, India
- Department of Spine Surgery, Orthopaedic Research Group, Coimbatore, India
- Central Research Laboratory, Meenakshi Medical College Hospital and Research Institute, Meenakshi Academy of Higher Education and Research, Chennai, India
- University of Connecticut Health Center, Farmington, CT, USA
- Research Unit of Orthopaedic and Trauma Surgery, Department of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
- Operative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
- School of Engineering, RMIT University, Melbourne, VIC, Australia
- BG Unfallklinik Ludwigshafen, Ludwigshafen, Germany
- Virginia Mason Medical Center, Seattle, WA, USA
- Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Emory University, Atlanta, GA, USA
- Johns Hopkins Medicine, Baltimore, MD, USA
| | - AOSKFDegenerative@aofoundation.org
- UC Davis Health, Sacramento, CA, USA
- Department of Orthopaedics, Orthopaedic Research Group, Coimbatore, India
- Department of Spine Surgery, Orthopaedic Research Group, Coimbatore, India
- Central Research Laboratory, Meenakshi Medical College Hospital and Research Institute, Meenakshi Academy of Higher Education and Research, Chennai, India
- University of Connecticut Health Center, Farmington, CT, USA
- Research Unit of Orthopaedic and Trauma Surgery, Department of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
- Operative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
- School of Engineering, RMIT University, Melbourne, VIC, Australia
- BG Unfallklinik Ludwigshafen, Ludwigshafen, Germany
- Virginia Mason Medical Center, Seattle, WA, USA
- Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Emory University, Atlanta, GA, USA
- Johns Hopkins Medicine, Baltimore, MD, USA
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Wilson BR, Wang TY, O'Toole J. Augmented Reality in Spine Surgery. Neurosurgery 2025; 96:S103-S110. [PMID: 39950790 DOI: 10.1227/neu.0000000000003343] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 09/19/2024] [Indexed: 05/09/2025] Open
Abstract
Augmented reality (AR) is a technology that allows digital information to be superimposed onto a user's view of the real world, thereby enhancing the user's experience of a given real-world scenario. As recent advances in AR technology have made it more available for a variety of applications, hospitals and doctors have begun to test its utility in the operating room. AR technology allows surgeons to supplement their view of the operative field with useful patient-specific information for which they might otherwise need to turn their attention away from the task at hand. For spine surgeons in particular, AR has begun to emerge as a promising option to assist with surgical performance. The field of spine surgery is uniquely positioned to benefit from AR, given the extent to which many spine surgeons already rely on intraoperative navigation techniques for certain surgical tasks, including pedicle screw and interbody device placement. In this review, we outline the origins and history of AR in spine surgery and cover the current state of the literature regarding the applications, benefits, and drawbacks of its use within the field. Lastly, we speculate as to the future of AR in spine surgery and propose which gaps in knowledge must be addressed before the technology enjoys a degree of adoption on par with currently available intraoperative navigation techniques.
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Affiliation(s)
- Bayard R Wilson
- Department of Neurosurgery, Rush University Medical Center, Chicago, Illinois, USA
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Schmidt FA, Hussain I, Boadi B, Sommer FJ, Thomé C, Härtl R. The Use of Augmented Reality as an Educational Tool in Minimally Invasive Transforaminal Lumbar Interbody Fusion. Oper Neurosurg (Hagerstown) 2025; 28:183-192. [PMID: 39185869 DOI: 10.1227/ons.0000000000001317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/03/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND AND OBJECTIVES One of the major challenges in training neurosurgical and orthopedic residents the technique for minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) is the lack of visualization of surgical landmarks (pedicle, pars, lamina). This is due to the limited access to the bony spine through a tubular retractor, in addition to a smaller working corridor or patient-specific factors such as bony overgrowth, disk space collapse, and listhesis. These factors increase the possibility for surgical error and prolonged surgery time. With augmented reality (AR), relevant surgical anatomy can be projected directly into the user's field of view through the microscope. The purpose of this study was to assess the utility, accuracy, efficiency, and precision of AR-guided MIS-TLIF and to determine its impact in spine surgery training. METHODS At 2 centers, 12 neurosurgical residents performed a one-level MIS-TLIF on a high-fidelity lumbar spine simulation model with and without AR projection into the microscope. For the MIS-TLIF procedures with AR, surgical landmarks were highlighted in different colors on preoperative image data . These landmarks were visualized in the spinal navigation application on the navigation monitor and in the microscope to confirm the relevant anatomy. Postprocedural surveys (National Aeronautics and Space Administration Task Load Index) were given to the residents. RESULTS Twelve residents were included in this trial. AR-guided procedures had a consistent impact on resident anatomical orientation and workload experience. Procedures performed without AR had a significantly higher mental demand ( P = .003 ) than with AR. Residents reported to a significantly higher rate that it was harder work for them to accomplish their level of performance without AR ( P = .019 ). CONCLUSION AR can bring a meaningful value in MIS teaching and training to confirm relevant anatomy in situations where the surgeon will have less direct visual access. AR used in surgical simulation can also speed the learning curve.
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Affiliation(s)
- Franziska A Schmidt
- Department of Neurosurgery, Medical University Innsbruck, Innsbruck , Austria
| | - Ibrahim Hussain
- Department of Neurological Surgery, Weill Cornell Brain and Spine Center, Weill Cornell Medicine, New York Presbyterian Hospital-OCH Spine, New York , New York , USA
| | - Blake Boadi
- Department of Neurological Surgery, Weill Cornell Brain and Spine Center, Weill Cornell Medicine, New York Presbyterian Hospital-OCH Spine, New York , New York , USA
| | - Fabian J Sommer
- Department of Neurological Surgery, Weill Cornell Brain and Spine Center, Weill Cornell Medicine, New York Presbyterian Hospital-OCH Spine, New York , New York , USA
| | - Claudius Thomé
- Department of Neurosurgery, Medical University Innsbruck, Innsbruck , Austria
| | - Roger Härtl
- Department of Neurological Surgery, Weill Cornell Brain and Spine Center, Weill Cornell Medicine, New York Presbyterian Hospital-OCH Spine, New York , New York , USA
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Kong H, Wang S, Zhang C, Chen Z, Wu Z, Wang J. A Novel Pedicle Screw Placement Surgery Based on Integration of Surgical Guides and Augmented Reality. J Neurol Surg A Cent Eur Neurosurg 2025. [PMID: 37890512 DOI: 10.1055/a-2200-3585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
BACKGROUND Augmented reality is a new technology that, when applied to spinal surgery, offers the potential for efficient, safe, and accurate placement of pedicle screws. This study investigated whether augmented reality combined with a guide board improved the safety and accuracy of pedicle screw placement compared to traditional freehand screw placement. METHODS Four trainers were divided into augmented reality navigation and freehand groups. Each group consisted of a novice and an experienced spine surgeon. A total of 80 pedicle screws were implanted. First, the AR group reconstructed the three-dimensional (3D) model and planned the screw insertion route according to the computed tomography (CT) data of L2 lumbar vertebrae. Next, the Microsoft HoloLens 2 was used to identify the vertebral model, and the planned virtual path was superimposed on the real cone model. Then, the screw was placed according to the projected trajectory. Finally, Micron Tracker was used to measure the deviation of screws from the preoperatively planned trajectory, and pedicle screws were evaluated using the Gertzbein-Robbins scale. RESULTS In the augmented reality group, the linear deviation of the experienced doctors and novices was 1.59 ± 0.39 and 1.73 ± 0.52 mm, respectively, and the deviation angle was 2.72 ± 0.61 and 2.87 ± 0.63 degrees, respectively. In the freehand group, the linear deviation of the experienced doctors and novices was 2.88 ± 0.58 and 5.25 ± 0.62 mm, respectively, and the deviation angle was 4.41 ± 1.18 and 7.15 ± 1.45 degrees, respectively. The screw placement accuracy rate was 97.5% in the augmented reality navigation group and 77.5% in the freehand group. CONCLUSIONS Augmented reality navigation improves the accuracy and safety of pedicle screw implantation compared with the traditional freehand method and can assist inexperienced doctors in successfully completing the surgery.
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Affiliation(s)
- Huiyang Kong
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Shuyi Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Can Zhang
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Zan Chen
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
| | - Zhanglei Wu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Jiayu Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
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Phelps BM, Ramey WL, Hurlbert RJ. Sacral/Pelvic Fixation: New Tools and Techniques. Neurosurg Clin N Am 2025; 36:41-51. [PMID: 39542548 DOI: 10.1016/j.nec.2024.09.001] [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] [Indexed: 11/17/2024]
Abstract
This review article explores the advancements in sacropelvic fixation, comparing traditional and modern techniques, with a focus on iliac and sacral 2 alar-iliac screw fixations. It addresses the biomechanical challenges inherent in securing the lumbosacral junction and discusses the integration of current and future technologies like robotics and augmented reality to improve surgical outcomes. The article underscores the importance of these innovations in enhancing stability and reducing complications in complex spinal surgeries.
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Affiliation(s)
- Brian M Phelps
- Department of Orthopedics and Sports Medicine, Houston Methodist Hospital, 6565 Fannin Street, Houston, TX 77030, USA
| | - Wyatt L Ramey
- Department of Neurosurgery, Houston Methodist Hospital, Weill Cornell College of Medicine, 6550 Fannin Street, Houston, TX 77030, USA
| | - R John Hurlbert
- Department of Neurosurgery, University of Arizona, 1501 N Campbell Avenue, Tucson, AZ 85724, USA.
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Sayadi A, Cecere R, Barralet J, Feldman LS, Hooshiar A. Design and Evaluation of Augmented Reality-Enhanced Robotic System for Epidural Interventions. SENSORS (BASEL, SWITZERLAND) 2024; 24:7959. [PMID: 39771696 PMCID: PMC11679673 DOI: 10.3390/s24247959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 12/02/2024] [Accepted: 12/03/2024] [Indexed: 01/11/2025]
Abstract
The epidural injection is a medical intervention to inject therapeutics directly into the vicinity of the spinal cord for pain management. Because of its proximity to the spinal cord, imprecise insertion of the needle may result in irreversible damage to the nerves or spinal cord. This study explores enhancing procedural accuracy by integrating a telerobotic system and augmented reality (AR) assistance. Tele-kinesthesia is achieved using a leader-follower integrated system, and stable force feedback is provided using a novel impedance-matching force rendering approach. In this domain, augmented reality employs a magnetic-tracker-based approach for real-time 3D model projection onto the patient's body, aiming to augment the physician's visual field and improve needle insertion accuracy. Preliminary results indicate that our AR-enhanced robotic system may reduce the cognitive load and improve the accuracy of ENI, highlighting the promise of AR technologies in complex medical procedures. However, further studies with larger sample sizes and more diverse clinical settings must comprehensively validate these findings. This work lays the groundwork for future research into integrating AR into medical robotics, potentially transforming clinical practices by enhancing procedural safety and efficiency.
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Lopukhov EO, Frolov IA, Solovyev MA, Prokhorenko LS, Mishchenkov DS, Klimov DD, Vorotnikov AA, Poduraev YV, Grin AA, Levchenko OV. Computer-Guided Navigation System Efficiency Evaluation Using Surgical Instruments for Spinal Fusion. Int J Med Robot 2024; 20:e70033. [PMID: 39716412 DOI: 10.1002/rcs.70033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 12/02/2024] [Accepted: 12/09/2024] [Indexed: 12/25/2024]
Abstract
BACKGROUND Navigation surgical systems have been widely used in spinal fusion to ensure accuracy and safety during pedicle screw insertion. METHODS The research was performed under laboratory conditions, using stereotactic navigation, surgical instruments for spinal fusion, development of additional devices and software. During the experiments, all stages of the computed tomography-guided navigation system use were performed-preoperative preparation of patient data and planning to provide visual control of the navigation of surgical instruments during the insertion of screws. RESULTS The 20 screws were inserted into the vertebrae of the lumbar spine phantom with an average pedicle width of 12.6 ± 1.29 mm with 100% clinical accuracy. The 30 screws were inserted into cadaveric sheep vertebrae with an average pedicle width of 6.56 ± 0.58 mm with 96.67% efficiency. CONCLUSIONS The proposed navigation technique of the CT-guided navigation system is highly effective in the navigation process of surgical instruments and pedicle screws during spinal fusion.
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Affiliation(s)
- Evgenii O Lopukhov
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | - Ilya A Frolov
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | - Mikhail A Solovyev
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | | | - Denis S Mishchenkov
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | - Daniil D Klimov
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | - Andrei A Vorotnikov
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | - Yuri V Poduraev
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Moscow State University of Technology "STANKIN", Moscow, Russia
| | - Andrei A Grin
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
- Sklifosovsky Research Institute of Emergency Medicine, Moscow, Russia
- Moscow Healthcare Department, Moscow, Russia
| | - Oleg V Levchenko
- FSBEI HE "RUSSIAN UNIVERSITY OF MEDICINE" OF MOH OF RUSSIA, Moscow, Russia
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González-González F, Aguilar-Chávez F, Martínez-Loya C, Marín-Castañeda LA, Arellanes-Chavez CA, Lee Á. Top 100 Most Cited Articles on Intraoperative Image-Guided Navigation in Spine Surgery. Cureus 2024; 16:e67950. [PMID: 39328685 PMCID: PMC11426548 DOI: 10.7759/cureus.67950] [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] [Accepted: 08/27/2024] [Indexed: 09/28/2024] Open
Abstract
Navigation technologies have become essential in spine surgery over the last decade, offering precise procedures and minimizing risks. To the best of our knowledge, this is the first bibliometric analysis on this topic, providing insights and trends on topics, authors, and journals. The study identifies and analyzes the 100 most cited articles related to navigation in spine surgery. A systematic search was performed in Scopus and Google Scholar to identify all articles related to navigation in spine surgery (38,057 articles). The 100 most cited were analyzed for citations, titles, abstracts, authors, affiliations, keywords, country and institute of origin, year of publication, and level of evidence. The search was conducted in October 2023. The 100 most cited articles were published between 1995 and 2019, with 2010 to 2019 being the most prolific decade (46%). The most cited article had 733 citations, and the paper with the most citations per year averaged 59.27 citations/year. The Spine Journal had the most articles (34%). The United States contributed the most articles (39%). Most publications were clinical research and reviews (94%), with an overall evidence grade of IV-V (63%). A positive trend was noted in the last decade for incorporating augmented reality. This bibliometric analysis offers valuable insights and trends in spine surgery navigation literature. The findings indicate that technological advancements have led to more articles with higher levels of evidence. These pivotal articles shape evidence-based medicine, future surgeons, and industry improvements in navigated spine surgery.
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Affiliation(s)
| | - Felipe Aguilar-Chávez
- Cisne Spine Academy, Star Medica Hospital, Autonomous University of Chihuahua, Chihuahua, MEX
| | - Carolina Martínez-Loya
- Research, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, Chihuahua, MEX
| | | | | | - Ángel Lee
- Research, Dr. Manuel Gea González General Hospital, Mexico City, MEX
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Vorbau R, Hulthén M, Omar A. Task-based image quality assessment of an intraoperative CBCT for spine surgery compared with conventional CT. Phys Med 2024; 124:103426. [PMID: 38986263 DOI: 10.1016/j.ejmp.2024.103426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/24/2024] [Accepted: 06/29/2024] [Indexed: 07/12/2024] Open
Abstract
PURPOSE To analyze the image quality of a novel, state-of-the art platform for CBCT image-guided spine surgery, focusing particularly on the dose-effectiveness compared with conventional CT (the gold standard for postoperative assessment). METHODS The ClarifEye platform (Philips Healthcare) with integrated augmented-reality surgical navigation, has been compared with a GE Revolution CT (GE Healthcare). The 3D spatial resolution (TTF) and noise (NPS) were evaluated considering relevant feature contrasts (200-900 HU) and background noise for differently sized patients (200-300 mm water-equivalent diameter). These measures were used to determine the noise equivalent quanta (NEQ) and observer model detectability. RESULTS The CBCT system exhibited a linear response with 50% TTF at 5.7 cycles/cm (10% TTF at 9.2 cycles/cm), and the axial noise power peaking at about 3.6 cycles/cm (average frequency of 4.1 cycles/cm). The noise magnitude and texture differed markedly compared to iteratively reconstructed CT images (GE ASiR-V). The CBCT system had 26% lower detectability for a high-frequency task (related to edge detection) compared with CT images reconstructed using the Bone kernel combined with ASiR-V 50%. Likewise, it had 18% lower detectability for low- and mid-frequency tasks compared with CT images reconstructed using the Standard kernel. This difference translates to 50%-80% higher CBCT imaging doses required to match the CT image quality. CONCLUSIONS The ClarifEye platform demonstrates intraoperative CBCT-imaging capabilities that under certain circumstances are comparable with conventional CT. However, due to limited dose-effectiveness, a trade-off between timeliness and radiation exposure must be considered if end-of-procedure CBCT is to replace postoperative CT.
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Affiliation(s)
- Robert Vorbau
- Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Markus Hulthén
- Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Artur Omar
- Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Sweden.
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Zuo G, Wang R, Wan C, Zhang Z, Zhang S, Yang W. Unveiling the Evolution of Virtual Reality in Medicine: A Bibliometric Analysis of Research Hotspots and Trends over the Past 12 Years. Healthcare (Basel) 2024; 12:1266. [PMID: 38998801 PMCID: PMC11241350 DOI: 10.3390/healthcare12131266] [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: 05/28/2024] [Revised: 06/21/2024] [Accepted: 06/24/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND Virtual reality (VR), widely used in the medical field, may affect future medical training and treatment. Therefore, this study examined VR's potential uses and research directions in medicine. METHODS Citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate VR in medicine in articles published between 1 January 2012 and 31 December 2023. These data were analyzed using CiteSpace 6.2. R2 software. Present limitations and future opportunities were summarized based on the data. RESULTS A total of 2143 related publications from 86 countries and regions were analyzed. The country with the highest number of publications is the USA, with 461 articles. The University of London has the most publications among institutions, with 43 articles. The burst keywords represent the research frontier from 2020 to 2023, such as "task analysis", "deep learning", and "machine learning". CONCLUSION The number of publications on VR applications in the medical field has been steadily increasing year by year. The USA is the leading country in this area, while the University of London stands out as the most published, and most influential institution. Currently, there is a strong focus on integrating VR and AI to address complex issues such as medical education and training, rehabilitation, and surgical navigation. Looking ahead, the future trend involves integrating VR, augmented reality (AR), and mixed reality (MR) with the Internet of Things (IoT), wireless sensor networks (WSNs), big data analysis (BDA), and cloud computing (CC) technologies to develop intelligent healthcare systems within hospitals or medical centers.
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Affiliation(s)
- Guangxi Zuo
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Chinese Health Ministry, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Ruoyu Wang
- Department of Global Public Health, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Cheng Wan
- College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Zhe Zhang
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, China
| | - Shaochong Zhang
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, China
| | - Weihua Yang
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen 518040, China
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Tanaka M, Schol J, Sakai D, Sako K, Yamamoto K, Yanagi K, Hiyama A, Katoh H, Sato M, Watanabe M. Low Radiation Protocol for Intraoperative Robotic C-Arm Can Enhance Adolescent Idiopathic Scoliosis Deformity Correction Accuracy and Safety. Global Spine J 2024; 14:1504-1514. [PMID: 36695112 PMCID: PMC11394515 DOI: 10.1177/21925682221147867] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
STUDY DESIGN Retrospective case-series study. OBJECTIVES To assess (1) low cone beam CT (CBCT) mediated intraoperative navigation to limit radiation exposure without compromising surgical accuracy, and (2) the potential of intraoperative C-arm CBCT navigation to augment pedicle screw (PS) placement accuracy in AIS surgery compared to pre-surgery CT-based planning. METHODS The first part involved a prospective phantom study, comparing radiation doses for conventional CT, and standard (6sDCT) and a low dose (5sDCT) Artis Zeego®-imaging. Next, 5sDCT- and 6sDCT-navigation were compared on PS accuracy and radiation exposure during AIS correction. The final part compared surgical AIS deformity correction through intraoperative 5sDCT navigation to a matched cohort treated using conventional pre-surgery CT-scans for navigation. Outcome parameters included operation time, skin dose (SD), dose area product (DAP), intraoperative blood loss, postoperative complications, and PS deviation rates. RESULTS The phantom study demonstrated a reduction in radiation for the 5sDCT protocol. Moreover, 5sDCT-imaged patients (n = 15) showed a significantly lower SD (-27.41%) and DAP (-30.92%), without compromising PS accuracy compared with 6sDCT-settings (n = 15). Finally, AIS correction through intraoperative CBCT C-arm navigation (n = 27) significantly reduced screw deviation rates (6.83% versus 10.75%, P = .016) without increasing operation times, compared with conventional CT (n = 37). CONCLUSIONS Intraoperative navigation using a CBCT C-arm system improved the accuracy of PS insertion and reduced surgery time. Moreover, it reduced radiation exposure compared with conventional CT, which was further curtailed by adapting the low-dose 5sDCT protocol. In short, our study highlights the benefits of intraoperative CBCT navigation for PS placement in AIS surgery.
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Affiliation(s)
- Masahiro Tanaka
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Jordy Schol
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Daisuke Sakai
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Kosuke Sako
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Kazuyuki Yamamoto
- Department of Diagnostic Radiology, Tokai University School of Medicine, Kanagawa, Japan
| | - Kensuke Yanagi
- Department of Diagnostic Radiology, Tokai University School of Medicine, Kanagawa, Japan
| | - Akihiko Hiyama
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Hiroyuki Katoh
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Masato Sato
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
| | - Masahiko Watanabe
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Kanagawa, Japan
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13
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Kanno H, Handa K, Murotani M, Ozawa H. A Novel Intraoperative CT Navigation System for Spinal Fusion Surgery in Lumbar Degenerative Disease: Accuracy and Safety of Pedicle Screw Placement. J Clin Med 2024; 13:2105. [PMID: 38610870 PMCID: PMC11012415 DOI: 10.3390/jcm13072105] [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: 02/25/2024] [Revised: 03/31/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024] Open
Abstract
Background: In recent years, intraoperative computed tomography (CT) navigation has become widely used for the insertion of pedicle screws in spinal fusion surgery. However, conventional intraoperative CT navigation may be impaired by infrared interference between the infrared camera and surgical instruments, which can lead to the misplacement of pedicle screws. Recently, a novel intraoperative CT navigation system, NextAR, has been developed. It uses a small infrared camera mounted on surgical instruments within the surgical field. NextAR navigation can minimize the problem of infrared interference and be expected to improve the accuracy of pedicle screw placement. Methods: This study investigated the accuracy of pedicle screw insertion under NextAR navigation in spinal fusion surgery for lumbar degenerative diseases. The accuracy of pedicle screw placement was evaluated in 15 consecutive patients using a CT grading scale. Results: Screw perforation occurred in only 1 of the total 70 screws (1.4%). Specifically, there was one grade 1 perforation within 2 mm, but no perforations larger than 2 mm. There were no reoperations or neurological complications due to screw misplacement. Conclusions: NextAR navigation can provide high accuracy for pedicle screw insertion and help ensure safe spinal fusion surgery for lumbar degenerative diseases.
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Affiliation(s)
- Haruo Kanno
- Department of Orthopaedic Surgery, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
| | - Kyoichi Handa
- Department of Orthopaedic Surgery, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
| | - Motoki Murotani
- Department of Orthopaedic Surgery, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
| | - Hiroshi Ozawa
- Department of Orthopaedic Surgery, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
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14
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Youssef S, McDonnell JM, Wilson KV, Turley L, Cunniffe G, Morris S, Darwish S, Butler JS. Accuracy of augmented reality-assisted pedicle screw placement: a systematic review. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2024; 33:974-984. [PMID: 38177834 DOI: 10.1007/s00586-023-08094-5] [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: 07/23/2023] [Revised: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVE Conventional freehand methods of pedicle screw placement are associated with significant complications due to close proximity to neural and vascular structures. Recent advances in augmented reality surgical navigation (ARSN) have led to its adoption into spine surgery. However, little is known regarding its overall accuracy. The purpose of this study is to delineate the overall accuracy of ARSN pedicle screw placement across various models. METHODS A systematic review was conducted of Medline/PubMed, Cochrane and Embase Library databases according to the PRISMA guidelines. Relevant data extracted included reports of pedicle screw placement accuracy and breaches, as defined by the Gertzbein-Robbins classification, in addition to deviation from pre-planned trajectory and entry point. Accuracy was defined as the summation of grade 0 and grade 1 events per the Gertzbein-Robbins classification. RESULTS Twenty studies reported clinically accurate placed screws. The range of clinically accurate placed screws was 26.3-100%, with 2095 screws (93.1%) being deemed clinically accurate. Furthermore, 5.4% (112/2088) of screws were reported as grade two breaches, 1.6% (33/2088) grade 3 breaches, 3.1% (29/926) medial breaches and 2.3% (21/926) lateral breaches. Mean linear deviation ranged from 1.3 to 5.99 mm, while mean angular/trajectory deviation ranged 1.6°-5.88°. CONCLUSION The results of this study highlight the overall accuracy of ARSN pedicle screw placement. However, further robust prospective studies are needed to accurately compare to conventional methods of pedicle screw placement.
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Affiliation(s)
- Salma Youssef
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - Jake M McDonnell
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland
- Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Kielan V Wilson
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland.
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland.
| | - Luke Turley
- Department of Orthopaedics, Tallaght University Hospital, Tallaght, Dublin, Ireland
| | - Gráinne Cunniffe
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Seamus Morris
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Stacey Darwish
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland
- Department of Orthopaedics, St. Vincent's University Hospital, Dublin, Ireland
| | - Joseph S Butler
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland
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15
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Bhimreddy M, Jiang K, Weber-Levine C, Theodore N. Computational Modeling, Augmented Reality, and Artificial Intelligence in Spine Surgery. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1462:453-464. [PMID: 39523282 DOI: 10.1007/978-3-031-64892-2_27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Over the past decade, advancements in computational modeling, augmented reality, and artificial intelligence (AI) have been driving innovations in spine surgery. Much of the research conducted in these fields is from the past 5 years. In 2021, the market value for augmented reality and virtual reality reached around $22.6 billion, highlighting the rise in demand for these technologies in the medical industry and beyond. Currently, these modalities have a wide variety of potential uses, from preoperative planning of pedicle screw placement and assessment of surgical instrumentation to predictions for postoperative outcomes and development of educational tools. In this chapter, we provide an overview of the applications of these technologies in spine surgery. Furthermore, we discuss several avenues for further development, including integrations between these modalities and areas of improvement for more immersive, informative surgical experiences.
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Affiliation(s)
- Meghana Bhimreddy
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kelly Jiang
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carly Weber-Levine
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Theodore
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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16
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Azad TD, Warman A, Tracz JA, Hughes LP, Judy BF, Witham TF. Augmented reality in spine surgery - past, present, and future. Spine J 2024; 24:1-13. [PMID: 37660893 DOI: 10.1016/j.spinee.2023.08.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/27/2023] [Accepted: 08/29/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND CONTEXT Augmented reality (AR) is increasingly recognized as a valuable tool in spine surgery. Here we provides an overview of the key developments and technological milestones that have laid the foundation for AR applications in this field. We also assess the quality of existing studies on AR systems in spine surgery and explore potential future applications. PURPOSE The purpose of this narrative review is to examine the role of AR in spine surgery. It aims to highlight the evolution of AR technology in this context, evaluate the existing body of research, and outline potential future directions for integrating AR into spine surgery. STUDY DESIGN Narrative review. METHODS We conducted a thorough literature search to identify studies and developments related to AR in spine surgery. Relevant articles, reports, and technological advancements were analyzed to establish the historical context and current state of AR in this field. RESULTS The review identifies significant milestones in the development of AR technology for spine surgery. It discusses the growing body of research and highlights the strengths and weaknesses of existing investigations. Additionally, it presents insights into the potential for AR to enhance spine surgical education and speculates on future applications. CONCLUSIONS Augmented reality has emerged as a promising adjunct in spine surgery, with notable advancements and research efforts. The integration of AR into the spine surgery operating room holds promise, as does its potential to revolutionize surgical education. Future applications of AR in spine surgery may include real-time navigation, enhanced visualization, and improved patient outcomes. Continued development and evaluation of AR technology are essential for its successful implementation in this specialized surgical field.
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Affiliation(s)
- Tej D Azad
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 7-109, Baltimore, MD 21287, USA
| | - Anmol Warman
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 7-109, Baltimore, MD 21287, USA
| | - Jovanna A Tracz
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 7-109, Baltimore, MD 21287, USA
| | - Liam P Hughes
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 7-109, Baltimore, MD 21287, USA
| | - Brendan F Judy
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 7-109, Baltimore, MD 21287, USA
| | - Timothy F Witham
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 7-109, Baltimore, MD 21287, USA.
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17
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Groh J, Schramm S, Renner N, Krause J, Perl M. [Innovative 3D imaging]. UNFALLCHIRURGIE (HEIDELBERG, GERMANY) 2023; 126:921-927. [PMID: 37851089 DOI: 10.1007/s00113-023-01372-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/07/2023] [Indexed: 10/19/2023]
Abstract
Intraoperative 2D fluoroscopy is often performed for repositioning and implant control. However, this does not always provide the details needed to reliably detect joint steps or incorrect repositioning. Over the last few years, intraoperative 3D imaging has been established and further developed. Multiple studies demonstrate an advantage and better intraoperative control through 3D imaging. Examples are the upper ankle, the proximal tibia and the distal radius; the rates of intraoperative revisions with digital volume tomography (DVT) are between 20-30%. Technical advancements, such as metal artifact reductions, automated plane setting, automated screw detection, and robotic DVT devices, facilitate intraoperative operation, shorten surgical time, and provide improved image quality. By processing the data sets in the form of an immersive, computer-simulated image in terms of "augmented reality" (AR), increased precision can be achieved intraoperatively while reducing radiation exposure. The implementation of these systems is associated with costs, which are offset by cost savings from avoided revisions. Adequate counter-financing is still lacking at the present time. Intraoperative 3D imaging represents an important tool for intraoperative control. The current data situation makes it necessary to address the routine use of 3D procedures, especially in the joint area. The indications are becoming increasingly broader. Technical innovations such as robotics and AR have significantly improved 3D devices in recent years and offer high potential for integration into the OR.
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Affiliation(s)
- J Groh
- Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstraße 12, 91054, Erlangen, Deutschland
| | - S Schramm
- Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstraße 12, 91054, Erlangen, Deutschland
| | - N Renner
- Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstraße 12, 91054, Erlangen, Deutschland
| | - J Krause
- Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstraße 12, 91054, Erlangen, Deutschland
| | - M Perl
- Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstraße 12, 91054, Erlangen, Deutschland.
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18
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Pahwa B, Azad TD, Liu J, Ran K, Liu CJ, Tracz J, Sattari SA, Khalifeh JM, Judy BF, Bydon A, Witham TF. Assessing the Accuracy of Spinal Instrumentation Using Augmented Reality (AR): A Systematic Review of the Literature and Meta-Analysis. J Clin Med 2023; 12:6741. [PMID: 37959207 PMCID: PMC10649145 DOI: 10.3390/jcm12216741] [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: 08/15/2023] [Revised: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
Technological advancements, particularly in the realm of augmented reality (AR), may facilitate more accurate and precise pedicle screw placement. AR integrates virtual data into the operator's real-world view, allowing for the visualization of patient-specific anatomy and navigated trajectories. We aimed to conduct a meta-analysis of the accuracy of pedicle screw placement using AR-based systems. A systematic review of the literature and meta-analysis was performed using the PubMed/MEDLINE database, including studies reporting the accuracy of pedicle screw placement using AR. In total, 8 studies with 163 patients and 1259 screws were included in the analysis. XVision (XVS) was the most commonly used AR system (595 screws) followed by the Allura AR surgical navigation system (ARSN) (462 screws). The overall accuracy was calculated as 97.2% (95% CI 96.2-98.1% p < 0.001). Subgroup analysis revealed that there was no statistically significant difference in the accuracy rates achieved by XVS and Allura ARSN (p = 0.092). AR enables reliable, accurate placement of spinal instrumentation. Future research efforts should focus on comparative studies, cost effectiveness, operative time, and radiation exposure.
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Affiliation(s)
- Bhavya Pahwa
- University College of Medical Sciences, GTB Hospital, New Delhi 110095, India;
| | - Tej D. Azad
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Jiaqi Liu
- School of Medicine, Georgetown University, Washington, DC 20007, USA
| | - Kathleen Ran
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Connor J. Liu
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Jovanna Tracz
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Shahab Aldin Sattari
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Jawad M. Khalifeh
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Brendan F. Judy
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Ali Bydon
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
| | - Timothy F. Witham
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA; (T.D.A.); (C.J.L.); (J.T.); (S.A.S.); (J.M.K.); (B.F.J.); (A.B.)
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19
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Bertram U, Köveshazi I, Michaelis M, Weidert S, Schmidt TP, Blume C, Zastrow FSV, Müller CA, Szabo S. Man versus machine: Automatic pedicle screw planning using registration-based techniques compared with manual screw planning for thoracolumbar fusion surgeries. Int J Med Robot 2023:e2570. [PMID: 37690099 DOI: 10.1002/rcs.2570] [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: 11/03/2022] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVE This study evaluates the precision of a commercially available spine planning software in automatic spine labelling and screw-trajectory proposal. METHODS The software uses automatic segmentation and registration of the vertebra to generate screw proposals. 877 trajectories were compared. Four neurosurgeons assessed suggested trajectories, performed corrections, and manually planned pedicle screws. Additionally, automatic identification/labelling was evaluated. RESULTS Automatic labelling was correct in 89% of the cases. 92.9% of automatically planned trajectories were in accordance with G&R grade A + B. Automatic mode reduced the time spent planning screw trajectories by 7 s per screw to 20 s per vertebra. Manual mode yielded differences in screw-length between surgeons (largest distribution peak: 5 mm), automatic in contrast at 0 mm. The size of suggested pedicle screws was significantly smaller (largest peaks in difference between 0.5 and 3 mm) than the surgeon's choice. CONCLUSION Automatic identification of vertebrae works in most cases and suggested pedicle screw trajectories are acceptable. So far, it does not substitute for an experienced surgeon's assessment.
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Affiliation(s)
- Ulf Bertram
- Department of Neurosurgery, RWTH Aachen University, Aachen, Germany
| | - Istvan Köveshazi
- Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany
- M3i Industry-in-Clinic-Platform GmbH, Munich, Germany
| | | | - Simon Weidert
- Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany
- M3i Industry-in-Clinic-Platform GmbH, Munich, Germany
| | | | - Christian Blume
- Department of Neurosurgery, RWTH Aachen University, Aachen, Germany
| | - Felix Swamy V Zastrow
- M3i Industry-in-Clinic-Platform GmbH, Munich, Germany
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | | | - Szilard Szabo
- M3i Industry-in-Clinic-Platform GmbH, Munich, Germany
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20
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Gharios M, El-Hajj VG, Frisk H, Ohlsson M, Omar A, Edström E, Elmi-Terander A. The use of hybrid operating rooms in neurosurgery, advantages, disadvantages, and future perspectives: a systematic review. Acta Neurochir (Wien) 2023; 165:2343-2358. [PMID: 37584860 PMCID: PMC10477240 DOI: 10.1007/s00701-023-05756-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/08/2023] [Indexed: 08/17/2023]
Abstract
BACKGROUND Hybrid operating rooms (hybrid-ORs) combine the functionalities of a conventional surgical theater with the advanced imaging technologies of a radiological suite. Hybrid-ORs are usually equipped with CBCT devices providing both 2D and 3D imaging capability that can be used for both interventional radiology and image guided surgical applications. Across all fields of surgery, the use of hybrid-ORs is gaining in traction, and neurosurgery is no exception. We hence aimed to comprehensively review the use of hybrid-ORs, the associated advantages, and disadvantages specific to the field of neurosurgery. MATERIALS AND METHODS Electronic databases were searched for all studies on hybrid-ORs from inception to May 2022. Findings of matching studies were pooled to strengthen the current body of evidence. RESULTS Seventy-four studies were included in this review. Hybrid-ORs were mainly used in endovascular surgery (n = 41) and spine surgery (n = 33). Navigation systems were the most common additional technology employed along with the CBCT systems in the hybrid-ORs. Reported advantages of hybrid-ORs included immediate assessment of outcomes, reduced surgical revision rate, and the ability to perform combined open and endovascular procedures, among others. Concerns about increased radiation exposure and procedural time were some of the limitations mentioned. CONCLUSION In the field of neurosurgery, the use of hybrid-ORs for different applications is increasing. Hybrid-ORs provide preprocedure, intraprocedure, and end-of-procedure imaging capabilities, thereby increasing surgical precision, and reducing the need for postoperative imaging and correction surgeries. Despite these advantages, radiation exposure to patient and staff is an important concern.
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Affiliation(s)
- Maria Gharios
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Victor Gabriel El-Hajj
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
- Department of Neurosurgery, Karolinska University Hospital, Eugeniavägen 6, 4Th Floor, Solna, 17164, Stockholm, Sweden.
| | - Henrik Frisk
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Marcus Ohlsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Artur Omar
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Erik Edström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Adrian Elmi-Terander
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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21
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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: 7] [Impact Index Per Article: 3.5] [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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22
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Cao B, Yuan B, Xu G, Zhao Y, Sun Y, Wang Z, Zhou S, Xu Z, Wang Y, Chen X. A Pilot Human Cadaveric Study on Accuracy of the Augmented Reality Surgical Navigation System for Thoracolumbar Pedicle Screw Insertion Using a New Intraoperative Rapid Registration Method. J Digit Imaging 2023; 36:1919-1929. [PMID: 37131064 PMCID: PMC10406793 DOI: 10.1007/s10278-023-00840-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 04/20/2023] [Accepted: 04/21/2023] [Indexed: 05/04/2023] Open
Abstract
To evaluate the feasibility and accuracy of AR-assisted pedicle screw placement using a new intraoperative rapid registration method of combining preoperative CT scanning and intraoperative C-arm 2D fluoroscopy in cadavers. Five cadavers with intact thoracolumbar spines were employed in this study. Intraoperative registration was performed using anteroposterior and lateral views of preoperative CT scanning and intraoperative 2D fluoroscopic images. Patient-specific targeting guides were used for pedicle screw placement from Th1-L5, totaling 166 screws. Instrumentation for each side was randomized (augmented reality surgical navigation (ARSN) vs. C-arm) with an equal distribution of 83 screws in each group. CT was performed to evaluate the accuracy of both techniques by assessing the screw positions and the deviations between the inserted screws and planned trajectories. Postoperative CT showed that 98.80% (82/83) screws in ARSN group and 72.29% (60/83) screws in C-arm group were within the 2-mm safe zone (p < 0.001). The mean time for instrumentation per level in ARSN group was significantly shorter than that in C-arm group (56.17 ± 3.33 s vs. 99.22 ± 9.03 s, p < 0.001). The overall intraoperative registration time was 17.2 ± 3.5 s per segment. AR-based navigation technology can provide surgeons with accurate guidance of pedicle screw insertion and save the operation time by using the intraoperative rapid registration method of combining preoperative CT scanning and intraoperative C-arm 2D fluoroscopy.
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Affiliation(s)
- Bing Cao
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Bo Yuan
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Guofeng Xu
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Yin Zhao
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Yanqing Sun
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Zhiwei Wang
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Shengyuan Zhou
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Zheng Xu
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China
| | - Yao Wang
- Linyan Medical Technology Company Limited, 528 Ruiqing Road, Pudong New District, Shanghai, China
| | - Xiongsheng Chen
- Spine Center, Department of Orthopaedics, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Huangpu District, Shanghai, China.
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Hou C, Yang H, Chen Y, Yang Y, Zhang B, Chen K, Li M, Yang M, Chen K. Comparison of robot versus fluoroscopy-assisted pedicle screw instrumentation in adolescent idiopathic scoliosis surgery: A retrospective study. Front Surg 2023; 9:1085580. [PMID: 36756658 PMCID: PMC9899830 DOI: 10.3389/fsurg.2022.1085580] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/30/2022] [Indexed: 01/25/2023] Open
Abstract
The aim of this study was to explore whether a robot-assisted (RA) technique has advantages over the conventional fluoroscopy-assisted (FA) technique in clinical and radiological outcomes and whether it could decrease the incidence of mis-implantations of pedicle screws in adolescent idiopathic scoliosis (AIS) correction surgery. A total of 101 patients with AIS were recruited (RA group: 45 patients underwent RA screw insertion; FA group: 56 patients underwent FA screw insertion). When comparing the radiological data between the two groups, the major and secondary curves were both corrected proficiently with no difference in Cobb angle comparison at the last follow-up, suggesting that both the RA technique and the FA technique could lead to efficient radiographic correction and similar clinical outcomes (all, p > 0.05). In the RA group, operation time, blood loss, and transfusion volume were significantly greater than those in the FA group, while the accuracy of screw implantations in patients with AIS with a thoracic scoliotic curve in the RA group was higher than that in the FA group. In conclusion, both the RA and FA techniques could approach proficient radiographic correction and similar clinical outcomes in AIS surgery. Compared with the conventional fluoroscopy technique, the RA technique might improve the accuracy of screw implantations in patients with AIS with a thoracic scoliotic curve, while the increased operation time, blood loss, and transfusion volume might be the disadvantages due to the preliminary stage of the learning curve.
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Affiliation(s)
- Canglong Hou
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China
| | - Huan Yang
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China
| | - Yu Chen
- Department of Orthopedics, Hua shan Hospital Affiliated to Fudan University, Shanghai, China
| | - Yilin Yang
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China
| | - Beichen Zhang
- Department of Rehabilitation, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Kai Chen
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China
| | - Ming Li
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China
| | - Mingyuan Yang
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China,Correspondence: Kai Chen Mingyuan Yang
| | - Kai Chen
- Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, China,Correspondence: Kai Chen Mingyuan Yang
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Schütz L, Weber E, Niu W, Daniel B, McNab J, Navab N, Leuze C. Audiovisual augmentation for coil positioning in transcranial magnetic stimulation. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING: IMAGING & VISUALIZATION 2022. [DOI: 10.1080/21681163.2022.2154277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Laura Schütz
- Wu Tsai Visualization Lab, Stanford University, Stanford, California, USA
- Chair for Computer Aided Medical Procedures and Augmented Reality, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Emmanuelle Weber
- Wu Tsai Visualization Lab, Stanford University, Stanford, California, USA
- McNab Lab, Department of Radiology, Stanford University, Stanford, CA, USA
| | - Wally Niu
- Wu Tsai Visualization Lab, Stanford University, Stanford, California, USA
- Incubator for Medical Mixed and Extended Reality at Stanford, Department of Radiology, Stanford University, Stanford, CA, USA
| | - Bruce Daniel
- Incubator for Medical Mixed and Extended Reality at Stanford, Department of Radiology, Stanford University, Stanford, CA, USA
| | - Jennifer McNab
- Wu Tsai Visualization Lab, Stanford University, Stanford, California, USA
- McNab Lab, Department of Radiology, Stanford University, Stanford, CA, USA
| | - Nassir Navab
- Chair for Computer Aided Medical Procedures and Augmented Reality, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Christoph Leuze
- Wu Tsai Visualization Lab, Stanford University, Stanford, California, USA
- Incubator for Medical Mixed and Extended Reality at Stanford, Department of Radiology, Stanford University, Stanford, CA, USA
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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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Boaro A, Moscolo F, Feletti A, Polizzi G, Nunes S, Siddi F, Broekman M, Sala F. Visualization, navigation, augmentation. The ever-changing perspective of the neurosurgeon. BRAIN & SPINE 2022; 2:100926. [PMID: 36248169 PMCID: PMC9560703 DOI: 10.1016/j.bas.2022.100926] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [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]
Abstract
Introduction The evolution of neurosurgery coincides with the evolution of visualization and navigation. Augmented reality technologies, with their ability to bring digital information into the real environment, have the potential to provide a new, revolutionary perspective to the neurosurgeon. Research question To provide an overview on the historical and technical aspects of visualization and navigation in neurosurgery, and to provide a systematic review on augmented reality (AR) applications in neurosurgery. Material and methods We provided an overview on the main historical milestones and technical features of visualization and navigation tools in neurosurgery. We systematically searched PubMed and Scopus databases for AR applications in neurosurgery and specifically discussed their relationship with current visualization and navigation systems, as well as main limitations. Results The evolution of visualization in neurosurgery is embodied by four magnification systems: surgical loupes, endoscope, surgical microscope and more recently the exoscope, each presenting independent features in terms of magnification capabilities, eye-hand coordination and the possibility to implement additional functions. In regard to navigation, two independent systems have been developed: the frame-based and the frame-less systems. The most frequent application setting for AR is brain surgery (71.6%), specifically neuro-oncology (36.2%) and microscope-based (29.2%), even though in the majority of cases AR applications presented their own visualization supports (66%). Discussion and conclusions The evolution of visualization and navigation in neurosurgery allowed for the development of more precise instruments; the development and clinical validation of AR applications, have the potential to be the next breakthrough, making surgeries safer, as well as improving surgical experience and reducing costs.
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Affiliation(s)
- A. Boaro
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - F. Moscolo
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - A. Feletti
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - G.M.V. Polizzi
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - S. Nunes
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
| | - F. Siddi
- Department of Neurosurgery, Haaglanden Medical Center, The Hague, Zuid-Holland, the Netherlands
| | - M.L.D. Broekman
- Department of Neurosurgery, Haaglanden Medical Center, The Hague, Zuid-Holland, the Netherlands
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Zuid-Holland, the Netherlands
| | - F. Sala
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy
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Batjer HH, Kim J, El Ahmadieh TY, Aoun SG, Corona Ruiz JM, Purdy P, Awad IA. Cerebrovascular surgery: from the Wild West through the endovascular revolution. The M. Gazi Yaşargil Lecture at the American Association of Neurological Surgeons 2021 Annual Scientific Meeting. J Neurosurg 2022; 137:599-603. [PMID: 34996043 DOI: 10.3171/2021.10.jns211412] [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]
Affiliation(s)
- H Hunt Batjer
- 1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jun Kim
- 2Department of Neurological Surgery, Westmead Hospital, Sydney, Australia; and
| | - Tarek Y El Ahmadieh
- 1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Salah G Aoun
- 1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Juan Mario Corona Ruiz
- 1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Phillip Purdy
- 1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Issam A Awad
- 3Department of Neurological Surgery, University of Chicago Medical Center, Chicago, Illinois
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Augmented Reality-Assisted Percutaneous Pedicle Screw Instrumentation: A Cadaveric Feasibility and Accuracy Study. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12105261] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Percutaneous pedicle screw instrumentation is the keystone of minimally invasive spine surgery. Percutaneous screw placement demands experience and relies greatly on intra-operative image guidance. This study aims to validate the feasibility and accuracy of augmented-reality (AR)-assisted percutaneous pedicle screw instrumentation. One cadaveric torso was prepared for this study. After a pre-operative computed tomography (CT) scan, the images were transferred to an AR station to generate a 3D hologram. The 3D hologram and navigation images were projected to a pair of goggles with a display screen. With registration, the 3D spine hologram was overlayed onto the cadaver. Bilateral instrumentation from T6 to L5 was performed by two surgeons using AR assistance. A post-operative CT scan was obtained. The Gertzbein–Robbins scale (grade 0–3) was used for accuracy assessment. A total of 24 screws were placed. The overall screw accuracy was 87.5%. There were three major medial breaches that occurred on Rt T6/7/8, which were the most distant screws from the iliac reference. The cause of the three major medial breaches appeared to be related to their distance from the iliac reference. AR-assisted percutaneous pedicle screw instrumentation could improve anatomical visualization, facilitate surgical workflow, and provide an intuitive way of performing surgery.
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Liu Y, Lee MG, Kim JS. Spine Surgery Assisted by Augmented Reality: Where Have We Been? Yonsei Med J 2022; 63:305-316. [PMID: 35352881 PMCID: PMC8965436 DOI: 10.3349/ymj.2022.63.4.305] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 02/02/2022] [Accepted: 02/09/2022] [Indexed: 11/27/2022] Open
Abstract
This present systematic review examines spine surgery literature supporting augmented reality (AR) technology and summarizes its current status in spinal surgery technology. Database search strategies were retrieved from PubMed, Web of Science, Cochrane Library, Embase, from the earliest records to April 1, 2021. Our review briefly examines the history of AR, and enumerates different device application workflows in a variety of spinal surgeries. We also sort out the pros and cons of current mainstream AR devices and the latest updates. A total of 45 articles are included in our review. The most prevalent surgical applications included are the augmented reality surgical navigation system and head-mounted display. The most popular application of AR is pedicle screw instrumentation in spine surgery, and the primary responsible surgical levels are thoracic and lumbar. AR guidance systems show high potential value in practical clinical applications for the spine. The overall number of cases in AR-related studies is still rare compared to traditional surgical-assisted techniques. These lack long-term clinical efficacy and robust surgical-related statistical data. Changing healthcare laws as well as the increasing prevalence of spinal surgery are generating critical data that determines the value of AR technology.
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Affiliation(s)
- Yanting Liu
- Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Min-Gi Lee
- Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jin-Sung Kim
- Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
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Intraoperative Navigation in Plastic Surgery with Augmented Reality: A Preclinical Validation Study. Plast Reconstr Surg 2022; 149:573e-580e. [PMID: 35196700 DOI: 10.1097/prs.0000000000008875] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Augmented reality allows users to visualize and interact with digital images including three-dimensional holograms in the real world. This technology may have value intraoperatively by improving surgical decision-making and precision but relies on the ability to accurately align a hologram to a patient. This study aims to quantify the accuracy with which a hologram of soft tissue can be aligned to a patient and used to guide intervention. METHODS A mannequin's face was marked in a standardized fashion with 14 incision patterns in red and nine reference points in blue. A three-dimensional photograph was then taken, converted into a hologram, and uploaded to HoloLens (Verto Studio LLC, San Diego, Calif.), a wearable augmented reality device. The red markings were then erased, leaving only the blue points. The hologram was then viewed through the HoloLens in augmented reality and aligned onto the mannequin. The user then traced the overlaid red markings present on the hologram. Three-dimensional photographs of the newly marked mannequin were then taken and compared with the baseline three-dimensional photographs of the mannequin for accuracy of the red markings. This process was repeated for 15 trials (n = 15). RESULTS The accuracy of the augmented reality-guided intervention, when considering all trials, was 1.35 ± 0.24 mm. Markings that were positioned laterally on the face were significantly more difficult to reproduce than those centered around the facial midline. CONCLUSIONS Holographic markings can be accurately translated onto a mannequin with an average error of less than 1.4 mm. These data support the notion that augmented reality navigation may be practical and reliable for clinical integration in plastic surgery.
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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: 3.3] [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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Uddin SA, Hanna G, Ross L, Molina C, Urakov T, Johnson P, Kim T, Drazin D. Augmented Reality in Spinal Surgery: Highlights From Augmented Reality Lectures at the Emerging Technologies Annual Meetings. Cureus 2021; 13:e19165. [PMID: 34873508 PMCID: PMC8631483 DOI: 10.7759/cureus.19165] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2021] [Indexed: 12/26/2022] Open
Abstract
Introduction Augmented reality (AR) is an advanced technology and emerging field that has been adopted into spine surgery to enhance care and outcomes. AR superimposes a three-dimensional computer-generated image over the normal anatomy of interest in order to facilitate visualization of deep structures without the ability to directly see them. Objective To summarize the latest literature and highlight AR from the annual “Spinal Navigation, Emerging Technologies and Systems Integration” meeting lectures presented by the Seattle Science Foundation (SSF) on the development and use of augmented reality in spinal surgery. Methods We performed a comprehensive literature review from 2016 to 2020 on PubMed to correlate with lectures given at the annual “Emerging Technologies” conferences. After the exclusion of papers that concerned non-spine surgery specialties, a total of 54 papers concerning AR in spinal applications were found. The articles were then categorized by content and focus. Results The 54 papers were divided into six major focused topics: training, proof of concept, feasibility and usability, clinical evaluation, state of technology, and nonsurgical applications. The greatest number of papers were published during 2020. Each paper discussed varied topics such as patient rehabilitation, proof of concept, workflow, applications in neurological and orthopedic spine surgery, and outcomes data. Conclusions The recent literature and SSF lectures on AR provide a solid base and demonstrate the emergence of an advanced technology that offers a platform for an advantageous technique that is superior, in that it allows the operating surgeon to focus directly on the patient rather than a guidance screen.
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Affiliation(s)
| | - George Hanna
- Neurosurgery, Cedars-Sinai Spine Center, Los Angeles, USA
| | - Lindsey Ross
- Neurology and Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Camilo Molina
- Neurological Surgery, Washington University School of Medicine, St. Louis, USA
| | - Timur Urakov
- Neurological Surgery, University of Miami, Miami, USA
| | - Patrick Johnson
- Neurological Surgery, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Terrence Kim
- Orthopedic Surgery, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Doniel Drazin
- Medicine, Pacific Northwest University of Health Sciences, Yakima, USA
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Tai Y, Gao B, Li Q, Yu Z, Zhu C, Chang V. Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access. IEEE INTERNET OF THINGS JOURNAL 2021; 8:15965-15976. [PMID: 35782175 PMCID: PMC8769002 DOI: 10.1109/jiot.2021.3055804] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 01/10/2021] [Accepted: 01/27/2021] [Indexed: 05/21/2023]
Abstract
This article presents a novel extended reality (XR) and deep-learning-based Internet-of-Medical-Things (IoMT) solution for the COVID-19 telemedicine diagnostic, which systematically combines virtual reality/augmented reality (AR) remote surgical plan/rehearse hardware, customized 5G cloud computing and deep learning algorithms to provide real-time COVID-19 treatment scheme clues. Compared to existing perception therapy techniques, our new technique can significantly improve performance and security. The system collected 25 clinic data from the 347 positive and 2270 negative COVID-19 patients in the Red Zone by 5G transmission. After that, a novel auxiliary classifier generative adversarial network-based intelligent prediction algorithm is conducted to train the new COVID-19 prediction model. Furthermore, The Copycat network is employed for the model stealing and attack for the IoMT to improve the security performance. To simplify the user interface and achieve an excellent user experience, we combined the Red Zone's guiding images with the Green Zone's view through the AR navigate clue by using 5G. The XR surgical plan/rehearse framework is designed, including all COVID-19 surgical requisite details that were developed with a real-time response guaranteed. The accuracy, recall, F1-score, and area under the ROC curve (AUC) area of our new IoMT were 0.92, 0.98, 0.95, and 0.98, respectively, which outperforms the existing perception techniques with significantly higher accuracy performance. The model stealing also has excellent performance, with the AUC area of 0.90 in Copycat slightly lower than the original model. This study suggests a new framework in the COVID-19 diagnostic integration and opens the new research about the integration of XR and deep learning for IoMT implementation.
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Affiliation(s)
- Yonghang Tai
- Yunnan Key Laboratory of Opto-Electronic Information TechnologyYunnan Normal UniversityKunming650500China
| | - Bixuan Gao
- Yunnan Key Laboratory of Opto-Electronic Information TechnologyYunnan Normal UniversityKunming650500China
| | - Qiong Li
- Yunnan Key Laboratory of Opto-Electronic Information TechnologyYunnan Normal UniversityKunming650500China
| | - Zhengtao Yu
- Faculty of Information Engineering and AutomationKunming University of Science and TechnologyKunming650093China
| | - Chunsheng Zhu
- Southern University of Science and TechnologyShenzhen518055China
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Lim S, Ha J, Yoon S, Tae Sohn Y, Seo J, Chul Koh J, Lee D. Augmented Reality Assisted Surgical Navigation System for Epidural Needle Intervention. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:4705-4708. [PMID: 34892262 DOI: 10.1109/embc46164.2021.9629804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
An augmented reality (AR)-assisted surgical navigation system was developed for epidural needle intervention. The system includes three components: a virtual reality-based surgical planning software, a patient and tool tracking system, and an AR-based surgical navigation system. A three-dimensional (3D) path plan for the epidural needle was established on the preoperative computed tomography (CT) image. The plan is then registered to the intraoperative space by 3D models of the target vertebrae using skin markers and real-time tracking information. In the procedure, the plan and tracking information are transmitted to the head-mounted display (HMD) through a wireless network such that the device directly visualizes the plan onto the back surface of the patient. The physician determines the entry point and inserts the needle into the target based on the direct visual guidance of the system. An experiment was conducted to validate the system using two torso phantoms that mimic human respiration. The experimental results demonstrated that the time and the number of X-rays required for needle insertion were significantly decreased by the proposed method (43.6±20.55sec, 2.9±1.3times) compared to those of the conventional fluoroscopy-guided approach (124.5 ± 46.7s, 9.3±2.4times), whereas the average targeting errors were similar in both cases. The proposed system may potentially decrease ionizing radiation exposure not only to the patient but also to the medical team.
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Pan J, Yu D, Li R, Huang X, Wang X, Zheng W, Zhu B, Liu X. Multi-Modality guidance based surgical navigation for percutaneous endoscopic transforaminal discectomy. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 212:106460. [PMID: 34736173 DOI: 10.1016/j.cmpb.2021.106460] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE Fluoroscopic guidance is a critical step for the puncture procedure in percutaneous endoscopic transforaminal discectomy (PETD). However, two-dimensional observations of the three-dimensional anatomic structure suffer from the effects of projective simplification. To accurately assess the spatial relations between the patient vertebra tissues and puncture needle, a considerable number of fluoroscopic images from different orientations need to be acquired by the surgeons. This process significantly increases the radiation risk for both the patient and surgeons. METHODS In this paper, we propose an augmented reality (AR) surgical navigation system for PETD based on multi-modality information, which contains fluoroscopy, optical tracking, and depth camera. To register the fluoroscopic image with the intraoperative video, we design a lightweight non-invasive fiducial with markers and detect the markers based on the deep learning method. It can display the intraoperative video fused with the registered fluoroscopic images. We also present a self-adaptive calibration and transformation method between a 6-DOF optical tracking device and a depth camera, which are in different coordinate systems. RESULTS With the substantially reduced frequency of fluoroscopy imaging, the system can accurately track and superimpose the virtual puncture needle on fluoroscopy images in real-time. From operating theatre in vivo animal experiments, the results illustrate that the system average positioning accuracy can reach 1.98mm and the orientation accuracy can reach 1.19∘. From the clinical validation results, the system significantly lower the frequency of fluoroscopy imaging (42.7%) and reduce the radiation risk for both the patient and surgeons. CONCLUSION Coupled with the user study, both the quantitative and qualitative results indicate that our navigation system has the potential to be highly useful in clinical practice. Compared with the existing navigation systems, which are usually equipped with a variety of large and high-cost medical equipments, such as O-arm, cone-beam CT, and robots, our navigation system does not need special equipment and can be implemented with common equipment in the operating room, such as C-arm, desktop, etc., even in small hospitals.
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Affiliation(s)
- Junjun Pan
- State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China; PENG CHENG Laboratory, Shenzhen 518000, China.
| | - Dongfang Yu
- State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China
| | - Ranyang Li
- State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China; PENG CHENG Laboratory, Shenzhen 518000, China.
| | - Xin Huang
- The Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Xinliang Wang
- State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China
| | - Wenhao Zheng
- State Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China
| | - Bin Zhu
- The Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Xiaoguang Liu
- The Pain Medicine Center, Peking University Third Hospital, Beijing, China
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Augmented and virtual reality in spine surgery, current applications and future potentials. Spine J 2021; 21:1617-1625. [PMID: 33774210 DOI: 10.1016/j.spinee.2021.03.018] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT The field of artificial intelligence (AI) is rapidly advancing, especially with recent improvements in deep learning (DL) techniques. Augmented (AR) and virtual reality (VR) are finding their place in healthcare, and spine surgery is no exception. The unique capabilities and advantages of AR and VR devices include their low cost, flexible integration with other technologies, user-friendly features and their application in navigation systems, which makes them beneficial across different aspects of spine surgery. Despite the use of AR for pedicle screw placement, targeted cervical foraminotomy, bone biopsy, osteotomy planning, and percutaneous intervention, the current applications of AR and VR in spine surgery remain limited. PURPOSE The primary goal of this study was to provide the spine surgeons and clinical researchers with the general information about the current applications, future potentials, and accessibility of AR and VR systems in spine surgery. STUDY DESIGN/SETTING We reviewed titles of more than 250 journal papers from google scholar and PubMed with search words: augmented reality, virtual reality, spine surgery, and orthopaedic, out of which 89 related papers were selected for abstract review. Finally, full text of 67 papers were analyzed and reviewed. METHODS The papers were divided into four groups: technological papers, applications in surgery, applications in spine education and training, and general application in orthopaedic. A team of two reviewers performed paper reviews and a thorough web search to ensure the most updated state of the art in each of four group is captured in the review. RESULTS In this review we discuss the current state of the art in AR and VR hardware, their preoperative applications and surgical applications in spine surgery. Finally, we discuss the future potentials of AR and VR and their integration with AI, robotic surgery, gaming, and wearables. CONCLUSIONS AR and VR are promising technologies that will soon become part of standard of care in spine surgery.
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Hersh A, Mahapatra S, Weber-Levine C, Awosika T, Theodore JN, Zakaria HM, Liu A, Witham TF, Theodore N. Augmented Reality in Spine Surgery: A Narrative Review. HSS J 2021; 17:351-358. [PMID: 34539277 PMCID: PMC8436352 DOI: 10.1177/15563316211028595] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Augmented reality (AR) navigation refers to novel technologies that superimpose images, such as radiographs and navigation pathways, onto a view of the operative field. The development of AR navigation has focused on improving the safety and efficacy of neurosurgical and orthopedic procedures. In this review, the authors focus on 3 types of AR technology used in spine surgery: AR surgical navigation, microscope-mediated heads-up display, and AR head-mounted displays. Microscope AR and head-mounted displays offer the advantage of reducing attention shift and line-of-sight interruptions inherent in traditional navigation systems. With the U.S. Food and Drug Administration's recent clearance of the XVision AR system (Augmedics, Arlington Heights, IL), the adoption and refinement of AR technology by spine surgeons will only accelerate.
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Affiliation(s)
- Andrew Hersh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Smruti Mahapatra
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carly Weber-Levine
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tolulope Awosika
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Hesham M Zakaria
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ann Liu
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Timothy F Witham
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Theodore
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Tai Y, Qian K, Huang X, Zhang J, Jan MA, Yu Z. Intelligent Intraoperative Haptic-AR Navigation for COVID-19 Lung Biopsy Using Deep Hybrid Model. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2021; 17:6519-6527. [PMID: 37981912 PMCID: PMC8545008 DOI: 10.1109/tii.2021.3052788] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 12/26/2020] [Accepted: 01/03/2021] [Indexed: 11/21/2023]
Abstract
A novel intelligent navigation technique for accurate image-guided COVID-19 lung biopsy is addressed, which systematically combines augmented reality (AR), customized haptic-enabled surgical tools, and deep neural network to achieve customized surgical navigation. Clinic data from 341 COVID-19 positive patients, with 1598 negative control group, have collected for the model synergy and evaluation. Biomechanics force data from the experiment are applied a WPD-CNN-LSTM (WCL) to learn a new patient-specific COVID-19 surgical model, and the ResNet was employed for the intraoperative force classification. To boost the user immersion and promote the user experience, intro-operational guiding images have combined with the haptic-AR navigational view. Furthermore, a 3-D user interface (3DUI), including all requisite surgical details, was developed with a real-time response guaranteed. Twenty-four thoracic surgeons were invited to the objective and subjective experiments for performance evaluation. The root-mean-square error results of our proposed WCL model is 0.0128, and the classification accuracy is 97%, which demonstrated that the innovative AR with deep learning (DL) intelligent model outperforms the existing perception navigation techniques with significantly higher performance. This article shows a novel framework in the interventional surgical integration for COVID-19 and opens the new research about the integration of AR, haptic rendering, and deep learning for surgical navigation.
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Affiliation(s)
- Yonghang Tai
- Yunnan Key Laboratory of Opto-Electronic Information TechnologyYunnan Normal UniversityKunming650500China
| | - Kai Qian
- Department of Thoracic SurgeryYunnan First People's HospitalKunming650000China
| | - Xiaoqiao Huang
- Yunnan Key Laboratory of Opto-Electronic Information TechnologyYunnan Normal UniversityKunming650500China
| | - Jun Zhang
- Yunnan Key Laboratory of Opto-Electronic Information TechnologyYunnan Normal UniversityKunming650500China
| | | | - Zhengtao Yu
- Faculty of Information Engineering and AutomationKunming University of Science and TechnologyKunming650093China
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Biswas SK. The Digital Era and the Future of Pediatric Surgery. J Indian Assoc Pediatr Surg 2021; 26:279-286. [PMID: 34728911 PMCID: PMC8515525 DOI: 10.4103/jiaps.jiaps_136_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/09/2021] [Indexed: 11/21/2022] Open
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Yanni DS, Ozgur BM, Louis RG, Shekhtman Y, Iyer RR, Boddapati V, Iyer A, Patel PD, Jani R, Cummock M, Herur-Raman A, Dang P, Goldstein IM, Brant-Zawadzki M, Steineke T, Lenke LG. Real-time navigation guidance with intraoperative CT imaging for pedicle screw placement using an augmented reality head-mounted display: a proof-of-concept study. Neurosurg Focus 2021; 51:E11. [PMID: 34333483 DOI: 10.3171/2021.5.focus21209] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/17/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Augmented reality (AR) has the potential to improve the accuracy and efficiency of instrumentation placement in spinal fusion surgery, increasing patient safety and outcomes, optimizing ergonomics in the surgical suite, and ultimately lowering procedural costs. The authors sought to describe the use of a commercial prototype Spine AR platform (SpineAR) that provides a commercial AR head-mounted display (ARHMD) user interface for navigation-guided spine surgery incorporating real-time navigation images from intraoperative imaging with a 3D-reconstructed model in the surgeon's field of view, and to assess screw placement accuracy via this method. METHODS Pedicle screw placement accuracy was assessed and compared with literature-reported data of the freehand (FH) technique. Accuracy with SpineAR was also compared between participants of varying spine surgical experience. Eleven operators without prior experience with AR-assisted pedicle screw placement took part in the study: 5 attending neurosurgeons and 6 trainees (1 neurosurgical fellow, 1 senior orthopedic resident, 3 neurosurgical residents, and 1 medical student). Commercially available 3D-printed lumbar spine models were utilized as surrogates of human anatomy. Among the operators, a total of 192 screws were instrumented bilaterally from L2-5 using SpineAR in 24 lumbar spine models. All but one trainee also inserted 8 screws using the FH method. In addition to accuracy scoring using the Gertzbein-Robbins grading scale, axial trajectory was assessed, and user feedback on experience with SpineAR was collected. RESULTS Based on the Gertzbein-Robbins grading scale, the overall screw placement accuracy using SpineAR among all users was 98.4% (192 screws). Accuracy for attendings and trainees was 99.1% (112 screws) and 97.5% (80 screws), respectively. Accuracy rates were higher compared with literature-reported lumbar screw placement accuracy using FH for attendings (99.1% vs 94.32%; p = 0.0212) and all users (98.4% vs 94.32%; p = 0.0099). The percentage of total inserted screws with a minimum of 5° medial angulation was 100%. No differences were observed between attendings and trainees or between the two methods. User feedback on SpineAR was generally positive. CONCLUSIONS Screw placement was feasible and accurate using SpineAR, an ARHMD platform with real-time navigation guidance that provided a favorable surgeon-user experience.
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Affiliation(s)
- Daniel S Yanni
- 1Pickup Family Neurosciences Institute, Hoag Memorial Hospital Presbyterian Newport Beach; and.,2Disc Comfort, Inc., Newport Beach, California
| | - Burak M Ozgur
- 1Pickup Family Neurosciences Institute, Hoag Memorial Hospital Presbyterian Newport Beach; and
| | - Robert G Louis
- 1Pickup Family Neurosciences Institute, Hoag Memorial Hospital Presbyterian Newport Beach; and
| | - Yevgenia Shekhtman
- 3Neuroscience Institute, Hackensack Meridian JFK Medical Center, Edison; and
| | - Rajiv R Iyer
- 4Department of Orthopedic Surgery, Columbia University; and
| | | | - Asha Iyer
- 3Neuroscience Institute, Hackensack Meridian JFK Medical Center, Edison; and
| | - Purvee D Patel
- 5Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Raja Jani
- 5Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Matthew Cummock
- 5Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Aalap Herur-Raman
- 6George Washington University School of Medicine, Washington, DC; and
| | | | - Ira M Goldstein
- 5Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Michael Brant-Zawadzki
- 1Pickup Family Neurosciences Institute, Hoag Memorial Hospital Presbyterian Newport Beach; and
| | - Thomas Steineke
- 3Neuroscience Institute, Hackensack Meridian JFK Medical Center, Edison; and
| | - Lawrence G Lenke
- 4Department of Orthopedic Surgery, Columbia University; and.,8Department of Neurological Surgery, NewYork-Presbyterian/Allen Hospital, New York, New York
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Charles YP, Cazzato RL, Nachabe R, Chatterjea A, Steib JP, Gangi A. Minimally Invasive Transforaminal Lumbar Interbody Fusion Using Augmented Reality Surgical Navigation for Percutaneous Pedicle Screw Placement. Clin Spine Surg 2021; 34:E415-E424. [PMID: 33560011 DOI: 10.1097/bsd.0000000000001132] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 12/22/2020] [Indexed: 11/26/2022]
Abstract
STUDY DESIGN This was a retrospective observational study. OBJECTIVE The aim of this study was to evaluate the accuracy of percutaneous pedicle screw placement using augmented reality surgical navigation during minimally invasive transforaminal lumbar interbody fusion (TLIF). SUMMARY OF BACKGROUND DATA Augmented reality-based navigation is a new type of computer-assisted navigation where video cameras are used instead of infrared cameras to track the operated patients and surgical instruments. This technology has not so far been clinically evaluated for percutaneous pedicle screw placement. MATERIALS AND METHODS The study assessed percutaneous pedicle screw placement in 20 consecutive patients who underwent single-level minimally invasive TLIF using augmented reality surgical navigation. Facet joint violation and depression by the inserted pedicle screws were evaluated. Secondary outcome such as radiation dose exposure, fluoroscopy time, and operative time were collected for 3 phases of surgery: preparation phase, pedicle screw placement, and decompression with cage placement. RESULTS A clinical accuracy for screw placement within the pedicle (Gertzbein 0 or 1) of 94% was achieved. One screw violated the facet joint with a transarticular pathway. The screw head did not depress the facet in 54%. The use of fluoroscopy during navigation correlated with patient body-mass index (r=0.68, P<0.0001). The pedicle screw placement time corresponded to 36±5% of the total operative time of 117±11 minutes. A statistically significant decrease of 10 minutes in operative time was observed between the first and last 10 procedures which corresponded to the pedicle screw placement time decrease (48±9 vs. 38±7 min, P=0.0142). The learning curve model suggests an ultimate operative time decrease to 97 minutes. CONCLUSION Augmented reality surgical navigation can be clinically used to place percutaneous screws during minimally invasive TLIF. However, the lack of tracking of the location of the device requires intraoperative fluoroscopy to monitor screw insertion depth especially in obese patients. LEVEL OF EVIDENCE Level III.
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Affiliation(s)
| | - Roberto L Cazzato
- Interventional Radiology, University Hospital of Strasbourg, Strasbourg, France
| | - Rami Nachabe
- Department of Image Guided Therapy Systems, Philips Healthcare, Best, The Netherlands
| | - Anindita Chatterjea
- Department of Image Guided Therapy Systems, Philips Healthcare, Best, The Netherlands
| | | | - Afshin Gangi
- Interventional Radiology, University Hospital of Strasbourg, Strasbourg, France
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Gagandeep S, Tejasvi K, Nihal M, Shubham J, Anatoliy V, Vadim S, Prateek P, Sunil M. Editorial. Long-term solutions in neurosurgery using extended reality technologies. Neurosurg Focus 2021; 51:E2. [PMID: 34333475 DOI: 10.3171/2021.5.focus21235] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Singh Gagandeep
- 1Neuroradiology Division, Department of Radiology, Newark Beth Israel Medical Center, Newark, New Jersey
| | | | - Manjila Nihal
- 3Department of Biology, Case Western Reserve University, Cleveland, Ohio; and
| | - Jain Shubham
- 4Computer Science, Stony Brook University, Stony Brook; and
| | - Vaysberg Anatoliy
- 1Neuroradiology Division, Department of Radiology, Newark Beth Israel Medical Center, Newark, New Jersey
| | - Spektor Vadim
- 5Neuroradiology Division, Department of Radiology, Columbia University Medical Center, New York, New York
| | | | - Manjila Sunil
- 6Department of Neurosurgery, Mountain View Regional Medical Center, Las Cruces, New Mexico
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Godzik J, Farber SH, Urakov T, Steinberger J, Knipscher LJ, Ehredt RB, Tumialán LM, Uribe JS. "Disruptive Technology" in Spine Surgery and Education: Virtual and Augmented Reality. Oper Neurosurg (Hagerstown) 2021; 21:S85-S93. [PMID: 34128065 DOI: 10.1093/ons/opab114] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/04/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Technological advancements are the drivers of modern-day spine care. With the growing pressure to deliver faster and better care, surgical-assist technology is needed to harness computing power and enable the surgeon to improve outcomes. Virtual reality (VR) and augmented reality (AR) represent the pinnacle of emerging technology, not only to deliver higher quality education through simulated care, but also to provide valuable intraoperative information to assist in more efficient and more precise surgeries. OBJECTIVE To describe how the disruptive technologies of VR and AR interface in spine surgery and education. METHODS We review the relevance of VR and AR technologies in spine care, and describe the feasibility and limitations of the technologies. RESULTS We discuss potential future applications, and provide a case study demonstrating the feasibility of a VR program for neurosurgical spine education. CONCLUSION Initial experiences with VR and AR technologies demonstrate their applicability and ease of implementation. However, further prospective studies through multi-institutional and industry-academic partnerships are necessary to solidify the future of VR and AR in spine surgery education and clinical practice.
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Affiliation(s)
- Jakub Godzik
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - S Harrison Farber
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Timur Urakov
- Department of Neurosurgery, University of Miami, Miami, Florida, USA
| | - Jeremy Steinberger
- Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA
| | - Liza J Knipscher
- Neuroscience Publications, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Ryan B Ehredt
- Neuroscience Publications, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Luis M Tumialán
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Juan S Uribe
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
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Shelke Y, Chakraborty C. Augmented Reality and Virtual Reality Transforming Spinal Imaging Landscape: A Feasibility Study. IEEE COMPUTER GRAPHICS AND APPLICATIONS 2021; 41:124-138. [PMID: 32746083 DOI: 10.1109/mcg.2020.3000359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This article discusses a systematic review of the state-of-the-art on augmented reality (AR) and virtual reality (VR) in spinal navigation, where early clinical validations have shown promising outlook on accuracy and scalability parameters. The objective of this research is to evaluate clinical relevance for AR-VR enabled spinal surgical technologies and develop an economic feasibility model for stakeholders, such as patients, hospitals, and research organizations with technology adoption. From the influencing parameters, we identified the research gaps that can be explored going forward and a list of high priority research challenges that could provide an attractive research and development investment case for industry players.
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Molina CA, Dibble CF, Lo SFL, Witham T, Sciubba DM. Augmented reality-mediated stereotactic navigation for execution of en bloc lumbar spondylectomy osteotomies. J Neurosurg Spine 2021; 34:700-705. [PMID: 33668026 DOI: 10.3171/2020.9.spine201219] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/03/2020] [Indexed: 11/06/2022]
Abstract
En bloc spinal tumor resections are technically demanding procedures with high morbidity because of the conventionally large exposure area and aggressive resection goals. Stereotactic surgical navigation presents an opportunity to perform the smallest possible resection plan while still achieving an en bloc resection. Augmented reality (AR)-mediated spine surgery (ARMSS) via a mounted display with an integrated tracking camera is a novel FDA-approved technology for intraoperative "heads up" neuronavigation, with the proposed advantages of increased precision, workflow efficiency, and cost-effectiveness. As surgical experience and capability with this technology grow, the potential for more technically demanding surgical applications arises. Here, the authors describe the use of ARMSS for guidance in a unique osteotomy execution to achieve an en bloc wide marginal resection of an L1 chordoma through a posterior-only approach while avoiding a tumor capsule breach. A technique is described to simultaneously visualize the navigational guidance provided by the contralateral surgeon's tracked pointer and the progress of the BoneScalpel aligned in parallel with the tracked instrument, providing maximum precision and safety. The procedure was completed by reconstruction performed with a quad-rod and cabled fibular strut allograft construct, and the patient did well postoperatively. Finally, the authors review the technical aspects of the approach, as well as the applications and limitations of this new technology.
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Affiliation(s)
- Camilo A Molina
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri; and
- 2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christopher F Dibble
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri; and
| | - Sheng-Fu Larry Lo
- 2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Timothy Witham
- 2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel M Sciubba
- 2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Casari FA, Navab N, Hruby LA, Kriechling P, Nakamura R, Tori R, de Lourdes Dos Santos Nunes F, Queiroz MC, Fürnstahl P, Farshad M. Augmented Reality in Orthopedic Surgery Is Emerging from Proof of Concept Towards Clinical Studies: a Literature Review Explaining the Technology and Current State of the Art. Curr Rev Musculoskelet Med 2021; 14:192-203. [PMID: 33544367 PMCID: PMC7990993 DOI: 10.1007/s12178-021-09699-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/08/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Augmented reality (AR) is becoming increasingly popular in modern-day medicine. Computer-driven tools are progressively integrated into clinical and surgical procedures. The purpose of this review was to provide a comprehensive overview of the current technology and its challenges based on recent literature mainly focusing on clinical, cadaver, and innovative sawbone studies in the field of orthopedic surgery. The most relevant literature was selected according to clinical and innovational relevance and is summarized. RECENT FINDINGS Augmented reality applications in orthopedic surgery are increasingly reported. In this review, we summarize basic principles of AR including data preparation, visualization, and registration/tracking and present recently published clinical applications in the area of spine, osteotomies, arthroplasty, trauma, and orthopedic oncology. Higher accuracy in surgical execution, reduction of radiation exposure, and decreased surgery time are major findings presented in the literature. In light of the tremendous progress of technological developments in modern-day medicine and emerging numbers of research groups working on the implementation of AR in routine clinical procedures, we expect the AR technology soon to be implemented as standard devices in orthopedic surgery.
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Affiliation(s)
- Fabio A Casari
- Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
- ROCS, Research in Orthopedic Computer Science, Balgrist Campus, University of Zurich, Forchstrasse 340, 8008, Zürich, Switzerland.
| | - Nassir Navab
- Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany
- Computer Aided Medical Procedures (CAMP), Johns Hopkins University, Baltimore, MD, USA
| | - Laura A Hruby
- Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
- Department of Orthopaedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria
| | - Philipp Kriechling
- Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
| | - Ricardo Nakamura
- Computer Engineering and Digital Systems Department, Escola Politécnica, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Romero Tori
- Computer Engineering and Digital Systems Department, Escola Politécnica, Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Marcelo C Queiroz
- Orthopedics and Traumatology Department, Faculty of Medical Sciences of Santa Casa de Sao Paulo, Sao Paulo, SP, Brazil
| | - Philipp Fürnstahl
- ROCS, Research in Orthopedic Computer Science, Balgrist Campus, University of Zurich, Forchstrasse 340, 8008, Zürich, Switzerland
| | - Mazda Farshad
- Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
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Burström G, Persson O, Edström E, Elmi-Terander A. Augmented reality navigation in spine surgery: a systematic review. Acta Neurochir (Wien) 2021; 163:843-852. [PMID: 33506289 PMCID: PMC7886712 DOI: 10.1007/s00701-021-04708-3] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 01/06/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Conventional spinal navigation solutions have been criticized for having a negative impact on time in the operating room and workflow. AR navigation could potentially alleviate some of these concerns while retaining the benefits of navigated spine surgery. The objective of this study is to summarize the current evidence for using augmented reality (AR) navigation in spine surgery. METHODS We performed a systematic review to explore the current evidence for using AR navigation in spine surgery. PubMed and Web of Science were searched from database inception to November 27, 2020, for data on the AR navigation solutions; the reported efficacy of the systems; and their impact on workflow, radiation, and cost-benefit relationships. RESULTS In this systematic review, 28 studies were included in the final analysis. The main findings were superior workflow and non-inferior accuracy when comparing AR to free-hand (FH) or conventional surgical navigation techniques. A limited number of studies indicated decreased use of radiation. There were no studies reporting mortality, morbidity, or cost-benefit relationships. CONCLUSIONS AR provides a meaningful addition to FH surgery and traditional navigation methods for spine surgery. However, the current evidence base is limited and prospective studies on clinical outcomes and cost-benefit relationships are needed.
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Yuk FJ, Maragkos GA, Sato K, Steinberger J. Current innovation in virtual and augmented reality in spine surgery. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:94. [PMID: 33553387 PMCID: PMC7859743 DOI: 10.21037/atm-20-1132] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
In spinal surgery, outcomes are directly related both to patient and procedure selection, as well as the accuracy and precision of instrumentation placed. Poorly placed instrumentation can lead to spinal cord, nerve root or vascular injury. Traditionally, spine surgery was performed by open methods and placement of instrumentation under direct visualization. However, minimally invasive surgery (MIS) has seen substantial advances in spine, with an ever-increasing range of indications and procedures. For these reasons, novel methods to visualize anatomy and precisely guide surgery, such as intraoperative navigation, are extremely useful in this field. In this review, we present the recent advances and innovations utilizing simulation methods in spine surgery. The application of these techniques is still relatively new, however quickly being integrated in and outside the operating room. These include virtual reality (VR) (where the entire simulation is virtual), mixed reality (MR) (a combination of virtual and physical components), and augmented reality (AR) (the superimposition of a virtual component onto physical reality). VR and MR have primarily found applications in a teaching and preparatory role, while AR is mainly applied in hands-on surgical settings. The present review attempts to provide an overview of the latest advances and applications of these methods in the neurosurgical spine setting.
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Affiliation(s)
- Frank J Yuk
- Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Georgios A Maragkos
- Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kosuke Sato
- Hospital for Special Surgery, New York, NY, USA
| | - Jeremy Steinberger
- Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Dibble CF, Molina CA. Device profile of the XVision-spine (XVS) augmented-reality surgical navigation system: overview of its safety and efficacy. Expert Rev Med Devices 2020; 18:1-8. [PMID: 33322948 DOI: 10.1080/17434440.2021.1865795] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Introduction: The field of augmented reality mediated spine surgery is growing rapidly and holds great promise for improving surgical capabilities and patient outcomes. Augmented reality can assist with complex or atypical cases involving challenging anatomy. As neuronavigation evolves, fundamental technical limitations remain in line-of-sight interruption and operator attention shift, which this novel augmented reality technology helps to address.Areas covered: XVision is a recently FDA-approved head mounted display for intraoperative neuronavigation, compatible with all current conventional pedicle screw technology. The device is a wireless, customizable headset with an integrated surgical tracking system and transparent retinal display. This review discusses the available literature on the safety and efficacy of XVision, as well as the current state of augmented reality technology in spine surgery.Expert opinion: Augmented-reality spine surgery is an emerging technology that may increase precision, efficiency, and safety as well as decrease radiation exposure of manual and robotic computer-navigated pedicle screw insertion techniques. The initial clinical experience with XVision has shown good outcomes and it has received positive operator feedback. Now that initial clinical safety and efficacy has been demonstrated, ongoing experience must be studied to empirically validate this technology and generate further innovation in this rapidly evolving field.
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Affiliation(s)
- Christopher F Dibble
- Department of Neurosurgery, Washington University School of Medicine, Saint Louis, USA
| | - Camilo A Molina
- Department of Neurosurgery, Washington University School of Medicine, Saint Louis, USA
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McKnight RR, Pean CA, Buck JS, Hwang JS, Hsu JR, Pierrie SN. Virtual Reality and Augmented Reality-Translating Surgical Training into Surgical Technique. Curr Rev Musculoskelet Med 2020; 13:663-674. [PMID: 32779019 PMCID: PMC7661680 DOI: 10.1007/s12178-020-09667-3] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW As immersive learning outside of the operating room is increasingly recognized as a valuable method of surgical training, virtual reality (VR) and augmented reality (AR) are increasingly utilized in orthopedic surgical training. This article reviews the evolving nature of these training tools and provides examples of their use and efficacy. The practical and ethical implications of incorporating this technology and its impact on both orthopedic surgeons and their patients are also discussed. RECENT FINDINGS Head-mounted displays (HMDs) represent a possible adjunct to surgical accuracy and education. While the hardware is advanced, there is still much work to be done in developing software that allows for seamless, reliable, useful integration into clinical practice and training. Surgical training is changing: AR and VR will become mainstays of future training efforts. More evidence is needed to determine which training technology translates to improved clinical performance. Volatility within the HMD industry will likely delay advances in surgical training.
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Affiliation(s)
- R Randall McKnight
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, 1001 Blythe Blvd, Charlotte, NC, 28203, USA.
| | - Christian A Pean
- Department of Orthopedic Surgery, NYU Langone Health, New York, NY, USA
| | - J Stewart Buck
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, 1001 Blythe Blvd, Charlotte, NC, 28203, USA
| | - John S Hwang
- Department of Orthopedic Surgery, Mount Carmel, Columbus, OH, USA
- Department of Orthopedic Surgery, Orthopedic ONE, Columbus, OH, USA
| | - Joseph R Hsu
- Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, 1001 Blythe Blvd, Charlotte, NC, 28203, USA
| | - Sarah N Pierrie
- Department of Orthopaedics and Center for the Intrepid, San Antonio Military Medical Center, Fort Sam Houston, TX, USA
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