| Home | E-Submission | Sitemap | Editorial Office |  
J Minim Invasive Spine Surg Tech > Volume 10(1); 2025 > Article
Alshaibi, Mohamed, Williams, and Lucke-Wold: Exoscope Visualization, Navigation Guidance, and Robotic Precision in Spine Surgery

Abstract

Advancements in technology have ushered in a new era in spine surgery, offering innovative tools and techniques that improve surgical precision, efficiency, and safety. By exploring emerging technologies and techniques for minimally invasive spine surgery (MISS), providers may better address the challenges posed by spine pathology in an aging population and the imperative for refined surgical strategies to optimize outcomes of patient well-being. This narrative review analyzes studies exploring emerging technologies in MISS that contribute to better visualization and surgical accuracy, highlighting their respective surgical indications, objective reports of patient outcomes and user experiences, limitations in their use, and barriers to widespread implementation. This paper examines a spectrum of MISS technologies, including exoscope-assisted procedures, navigation-guided surgery, and robotic-assisted techniques for a range of spinal pathologies. The findings demonstrate enhanced preoperative knowledge and planning, as well as improved intraoperative precision and visualization, which may minimize tissue injury, surgical time, and postoperative complications. These technologies also enable more ergonomic surgical positioning for physicians and improved displays of the surgical site to the entire surgical team. Despite the potential benefits of these emerging technologies, the high costs of equipment and maintenance, as well as limited opportunities for sufficient training associated with their implementation, continue to pose limitations for supplementing or replacing existing surgical techniques.

INTRODUCTION

The evolution of spine surgery has been marked by significant advancements in technology, technique, and approach. The progression from open procedures to the current era of minimally invasive techniques has been largely driven by efforts to improve surgical precision and enhance patient outcomes. Early interventions predominantly relied on conventional open procedures, often associated with significant tissue disruption, prolonged recovery times, and heightened risks of complications. However, advancements in surgical instrumentation, imaging modalities, and navigational techniques have revolutionized the landscape of spinal interventions.
These innovations have led to the emergence of minimally invasive spine surgery (MISS) as a foundation of contemporary surgical care. Spinal disorders represent a pervasive healthcare challenge, affecting millions worldwide and encompassing a spectrum of pathologies ranging from degenerative conditions to traumatic injuries and neoplastic processes [1,2]. Among the most common procedures performed to address these conditions are decompressions, fusions, discectomies, and corrections of spinal deformities, with 455,500 spine fusions and 285,600 vertebral discectomies performed in the United States in 2018 alone [3]. Spine fusion procedures hold the highest mean cost per stay with an aggregate cost of 14,145 million dollars annually [3]. The prevalence of spine-related injury and the potential for improving patient outcomes while reducing postoperative recovery time and complications has driven the demand for advanced surgical interventions.
MISS represents a paradigm shift in spinal surgery, characterized by its emphasis on minimizing tissue trauma, preserving anatomical structures, and facilitating expedited patient recovery [4]. MISS has achieved these outcomes by leveraging innovative techniques and technologies. In this process, the integration of emerging technologies has become increasingly popular in modern spine surgery. From robotic-assisted systems to advancements in surgical site visualization and navigation platforms, surgeons have an array of innovative tools at their disposal to improve accuracy, minimize invasiveness, and mitigate surgical complexities. Such tools include digital 3-dimensional (3D) exoscopes, used intraoperatively for enhanced target visualization for the surgeon and surgical team [5]. Additionally, computer-based navigations have allowed surgeons to precisely maneuver in surgical locations with limited visibility and lighting using real-time cross-sectional images to create interactive, intraoperative visualizations [6]. Robotic systems have also aided in enhancing surgical precision, stability, and control while decreasing radiation exposure [7]. More recently, augmented reality has entered the realm of spine surgery to better track surgical movement by superimposing imaging studies onto the real-time surgical procedure [8]. These advances, while already transformative in their impact, have the potential to further improve accuracy, efficiency, and safety. Most importantly, they provide alternative options for surgeons to be more particular in personalizing the care that each patient receives.
Despite the great potential of current technologies in spinal surgery, certain limitations persist, impeding their widespread adoption. Challenges such as learning curves, high equipment costs, and technological constraints limit their implementation [9,10]. Additionally, more research is needed to assess if significant long-term improvements in patient functionality and pain following MISS can be achieved with these technologies as compared to contemporary techniques. Considering these factors, this review explores and evaluates various technologies in the field of spine surgery, assessing their clinical indications, impacts on patient and providers, and future directions in advancing spinal care.

EXOSCOPE-ASSISTED PROCEDURES

The introduction of the operating microscope (OM) marked a transformative era in microsurgery, originating in 1962 and extending to spine surgery in 1977 [11]. Renowned for its exceptional visualization, the OM became a standard tool for visualizing spinal structures and abnormalities in MISS. However, the OM has limited maneuverability which forces surgeons to adopt uncomfortable positions for extended periods of time, increasing strain on the spine, head, and neck [5,11,12]. These factors may contribute to avoidable discomfort and fatigue, potentially impacting surgical performance and increasing the likelihood for medical error [13,14].
A primary metric of neurosurgical optics platforms is the provision of intense light and magnification for detailed visualization of critical neural, vascular structures, and tissue differentiation [15]. While traditional microscopes achieve this through a face-to-machine interface, exoscopes have introduced a shift by enabling surgeons to view the surgical field through a digital screen, moving away from direct ‘through-the-lens’ approach and allowing surgeons to visualize target areas without direct engagement with the microscope [16]. Such novel systems have the potential to offer a broad viewing angle and high-resolution image quality similar to OM and endoscopy, and from a distance comparable to that of the OM [13].
This shift may improve aspects of neurosurgery including surgical ergonomics and injury prevention [15,16]. Sustained neck flexion remains a high-risk factor for spine surgeons and a common cause for many musculoskeletal disorders in this field [17]. Spine surgeons exhibit a higher prevalence of musculoskeletal disorders, with 7.1% undergoing surgical intervention for lumbar and 4.6% for cervical disc disease, surpassing disease estimates in the general population [18]. In a study comparing the posture of surgeons utilizing exoscope to OM in anterior cervical procedures, surgeons spent significantly more time in a deviated posture with OM than with the exoscope in both flexion/extension and lateral bending [19]. Similarly, in a study involving 34 neurosurgeons utilizing exoscope system for a microsurgical exercise, participants demonstrated significantly less head/body displacement during the exercise compared to OM [20].
The indication for exoscope systems also extends to educational settings through its capability to provide detailed anatomical visualization to multiple monitors in the surgical suite, expanding the viewing capabilities to more team members and students [21-23]. While exoscopes show promise in addressing limitations associated with OMs, challenges include poor video quality, stereoscopic availability, and a learning curve for surgeons transitioning to exoscope technology [12,13,22]. Despite these challenges, the mobility, ergonomics, and educational benefits of EX systems position them as promising alternatives in numerous surgical settings [21].
Traditional exoscopes function as digital camera systems attached to an adjustable arm that delivers intense light and magnification to the surgical site (Figure 1) [7]. Images are transmitted to high-definition monitors allowing the surgeon and surgical assistant to view neural and vascular structures in real-time, without being limited to the single view of an ocular mount [11,24]. Although configuration will vary across models and designs, exoscopes provide an adjustable distance between the camera lens and surgical field, typically 25 to 50 centimeters [5]. These systems provide a wider field of view and a longer focal distance than OM, with magnification levels ranging from ×4 to ×30 [5,6,13,24].
One of the initial limitations associated with the traditional exoscope was the lack of stereoscopic vision, or depth perception. However, the design of 3D exoscope systems utilizing dual camera technology has created a stereoscopic effect for surgeons with the use of 3D glasses and 3D (Figure 2) [5,11,13,25]. Improvements in digital monitor resolution to provide 4K and ultrahigh definition has been able to improve image sharpness and quality, however, headaches, dizziness, and nausea have been reported in studies using 3D exoscopes due to the use of polarized glasses [5,8]. Studies have assessed the learning curve for 2-dimensional (2D) and 3D exoscope systems among surgical trainees and experienced neurosurgeons. Findings among the use of 2D systems suggested a learning rate and plateau noninferior to that of OM [26]. Experimental trials with 3D systems have also revealed a significant improvement in microsurgical task performances after just 3 task repeats, irrespective of prior experience with OM and with no significant differences in the learning curve between senior neurosurgeons and trainees [27]. These findings emphasize that exoscope systems are not significantly inferior in terms of learning proficiency and may be implemented into training and clinical use without excessive difficulty. Though OM remains the gold standard, the advantageous capabilities and evolving features of exoscope systems present an alternative to traditional microscopes in certain surgical scenarios, with potential shared indications.

TWO-DIMENSIONAL EXOSCOPE SYSTEMS

The integration of exoscope systems emerged with the introduction of 2D systems, offering comparable image quality and superior comfort to OM. While novel 3D exoscope systems offer advanced capabilities, 2D exoscopes can offer sufficient visualization, particularly in noncomplex cases [28]. In a case study involving lumbar disc prolapse repair, microdiscectomy using a 2D exoscope resulted in an uneventful procedure and symptom relief. The study recommended caution in its use for complex cases, favoring OM, yet acknowledges that experienced surgeons may still employ 2D exoscope systems effectively [28].
Additional studies have conducted side-by-side comparisons of 2D exoscope systems and OM in similar cases, comparing operating time, blood loss, and self-reported surgeon comfort. Specifically, lumbar decompression, laminotomy for disk herniation removal, and anterior cervical discectomy with fusion (ACDF) all exhibited extended operating times with the exoscope, ranging from 5 to 40 minutes longer than their respective microscope procedures [24]. However, the exoscope provided better visualization and comfort in hard-to-reach areas of the surgical site due to the ability to maintain a comfortable and upright position [24]. Robotically controlled hands-free models of 2D exoscope systems have also been utilized and compared to OM regarding visual quality and surgical experience. In the treatment of lumbar disc herniation by discectomy, overall evaluations by surgical teams postoperatively suggest that the 2D exoscope system offered similar visual quality as compared to the OM [29]. However, in the treatment of cervical disc herniation by cervical discectomy, depth perception was given a much lower grade by the team when compared to the OM. There were no surgical complications or intraoperative switches to the OM in all cases [29].

3D EXOSCOPE SYSTEMS

The advent of 3D exoscope systems and their implementation in neurosurgical intervention is rapidly growing (Figure 2) [25]. Enhanced technical capabilities, visual clarity, and application stem from cutting-edge advancements in this technology to meet the demands of contemporary surgical practices. Most studies cited in this section have been published within the last 3 years, highlighting the relevance of investigating the advantages and disadvantages of these systems in various procedures, and a comparison of 3D exoscope systems to traditional OM for MISS.
The feasibility of training and implementation of 3D exoscope systems have been assessed by examining trends in operating time and blood loss in a series of MISS cases. Among 74 procedures, a study demonstrated that the average operating time for microdiscectomy with 3D exoscopes plateaued after 6 cases by the surgical team and after 9 cases for both decompression and lumbar fusion procedures [8]. Surgeons have additionally reported a shorter learning curve in comparison to training in endoscopic technique and noted the main drawback as a need for repositioning and refocusing using the exoscope arm [30].
In an application of 3D exoscope for ACDF, a subjective questionnaire revealed that the 3D exoscope was consistently rated as noninferior to OM for clinical use and as superior in comfort levels for all conducted procedures [5]. The study notes significantly improved intraoperative posture and image quality as compared to previous 2D models, which opens the door for use in more technically demanding spinal procedures [5]. In a retrospective review of 50 patients undergoing ACDF, a comparison of 3D exoscope to OM revealed no significant differences in operative time, blood loss, or postoperative improvement between the 2 groups. Surgeons found the exoscope system’s intraoperative handling comparable to the OM, with higher comfort levels reported in the subjective questionnaire. However, the exoscope was rated as slightly inferior for depth perception and illumination during ACDF procedures when compared to the OM [12]. Similarly, in a cohort of lumbar decompression and ACDF cases performed with 3D exoscope, depth perception and illumination were rated inferior for ACDF compared to OM, although no significant differences were observed in mean operative time, blood loss, or postoperative symptom improvement [14].
A more detailed comparison of the differences in illumination and magnification was conducted in a study analyzing a surgical team’s survey responses following a series of 18 spinal procedures, including ACDF and lumbar decompression. The 3D exoscope system was graded as equal or superior to OM in the categories of handling and structure identification as well as illumination and magnification of the superficial field [31]. However, the illumination and magnification of the deep surgical field was rated as inferior to OM in 61% and 31%, respectively [31]. This expands on the findings of previous studies regarding differences in visualization between OM and exoscope and may help guide decision making when considering the use of 3D exoscope systems in specific surgical scenarios. It is worth mentioning that when comparing magnification and illumination of the superficial and deep fields, the magnification of depth of the operative field was rated better in cervical procedures compared to lumbar procedures [31].
The use of 3D exoscope technology has also been introduced in tumor resection procedures, providing alternative methods for visualizing spine and brain tumors. In a series of 5 intradural extra-medullary tumor excisions, the 3D exoscope technology has been demonstrated as successful, resulting in no complications and offering improved magnification and illumination of the surgical field like that of OM [15]. The novel advancements allowing for the visualization of 5-aminolevulinic acid (5-ALA)-induced fluorescence also mark a significant stride in neurosurgical interventions, addressing previous limitations and introducing the convenience of simultaneous visualization capabilities, distinguishing it from conventional OM. In early preliminary trials of exoscope systems in brain and spine surgery, limitations included a lack visualization for 5-ALA induced fluorescence in tumor resection, necessitating a switch to microscope intraoperatively [11,31]. However, novel 3D exoscope systems have integrated visualization of 5-ALA-induced tumor fluorescence and cases have demonstrated successful visualization and resection in neurosurgical interventions [32-34]. In a prospective clinical trial analyzing the use of 3D exoscope for visualizing 5-ALA-induced fluorescence in high-grade glioma resection in 20 patients, histopathological analysis of 121 collected specimens suggested a 75% sensitivity and 80% specificity for detecting neoplasm, and a positive predictive value of 95% [34].

NAVIGATION

Advancements in imaging and stereotaxic procedures paired with rapid developments in computation opened the door for 3D reconstructions of surgical sites [35]. The introduction of the C-arm in the 1950s, tomographic imaging in the 1970s, and 3D reconstruction in the late 1990s all funneled into the conventional applications of navigation systems used in spine surgery today [35]. Early computed tomography (CT) had largely been implemented for preoperative reconstructions, but innovation in the field has led to the introduction of modern image-guided navigation systems which allow for a combination of preoperative and intraoperative data for more accurate image-based guidance [36-38]. More recently, advent of the O-arm introduced 360° imaging capabilities which has helped mitigate reconstructive inaccuracy in imaging due to patient positioning and enhanced evaluation of pedicle fixation [35,39].
Surgical navigation systems have attempted to address drawbacks of visualization associated with traditional surgical techniques by providing a fully contextualized image of the operating area and surgical instrumentation (Figures 3 and 4) [36,40]. Markers are placed on surgical instruments and external landmarks of the patient’s anatomy. The navigation software then utilizes real-time imaging and instrument markers to create a digital map of the operating area. The bony landmarks of the patient serve as a reference point for the software to align the digital map with the preoperative imaging [41,42]. While early navigation techniques relied on a frame-based stereotactic technology which required placing rigid bodies at indicated spinal levels to provide fixed reference points for targeting and 3D reconstruction, this method carries various limitations including the need to account for intraoperative variations in patient positioning and lengthened operative time [43,44]. Contemporary frameless navigation systems offer more convenience and flexibility for surgeons and patients by aligning preoperative virtual CT or magnetic resonance imaging (MRI) spine imaging with the patient’s anatomy, a process known as registration [45]. Operating room setup comprises several key components, including a navigation console, which runs the navigation software, and high-resolution display monitors positioned within the surgeon’s line of sight to provide real-time visual feedback during the procedure [45]. Central to the system is the tracking setup, which may include infrared cameras placed around the operating room to track reflective markers attached to the patient and surgical instruments [45]. Intraoperative imaging, such as fluoroscopy or intraoperative CT/MRI, are utilized to provide real-time images during surgery, further ensuring accuracy. The workflow includes patient registration, aligning preoperative imaging data with the patient’s anatomy using anatomical landmarks or surface matching techniques, and instrument calibration to ensure that all surgical instruments are correctly tracked by the navigation system. Throughout the procedure, the navigation system provides continuous real-time guidance, allowing the surgeon to navigate to the target area with precision [46].
Surgical navigation systems can be utilized for a variety of surgical indications and have demonstrated efficacy in both orthopedic and neurosurgical procedures. Procedures include tumor resection, spinal deformities, adolescent scoliosis, spinal trauma, interbody fusions, foraminal stenosis, degenerative disease of body, facet, or disc, spondylolisthesis, and rheumatoid arthritis [34,47]. The efficacy of navigation systems has been analyzed largely through comparisons of this technology to unnavigated procedures in pedicle screw placement. Reviews of pedicle screw insertion utilizing navigation systems suggest that the most common indications among adult populations include spondylolysis, spondylolisthesis, osteochondritis, post laminectomy, and scoliosis surgery [48,49]. Comparing fluoroscopy-based navigation to traditional methods showed that surgical navigation systems decreased cortex penetration by 62% [50,51]. Results from a systematic review analyzing differences in pedicle screw insertion accuracy between conventional methods and navigation technology showed a decreased risk of pedicle perforation with CT navigation in most in vivo studies [49]. An analysis of 11 other studies examined the success rate of 7,498 pedicle screws placed. 5,963 of the screws (79%) were placed using CT-guided navigation systems, 520 (7%) were placed using fluoroscopy-guided systems, and 1,015 (14%) were placed with conventional techniques. For each modality, accuracy rates were calculated: CT-based and fluoroscopy-based systems demonstrated a 97.7% and 87.8% accuracy rate, respectively, as compared to a rate of 79.5% for free-handed techniques [50-59]. When compared to fluoroscopy-based navigation, CT-based systems have shown a significant increase in accuracy relative to conventional methods [52,53,55,60,61]. Notably, pedicle screw placement was shown to improve with navigation systems regardless of the spinal level [52,62].
Though navigation techniques are associated with improvements in pedicle screw placement and thus lower complications and reoperation rates, such benefits may come at the expense of relatively longer operation times and increased radiation exposure. Among conventional, fluoroscopy, and navigation methods for pedicle screw placement, CT navigation demonstrates higher perioperative time requirements for spine surgery. This is likely due to the preoperative imaging and the image registration process [48,49,63]. The extent of radiation exposure is subject to surgical protocol for respective procedures which necessitates optimization of navigation techniques to balance patient safety and surgical accuracy. Studies indicate that advanced navigation systems in spine surgery significantly reduce radiation exposure to surgeons, particularly CT and O-arm interventions, by allowing them to stand away from the radiation source during imaging [64,65]. However, these systems tend to increase patient radiation exposure due to the need for multiple and high-resolution images for accurate navigation [49,66]. A retrospective analysis of dosimetric data from 101 patients receiving CT navigated spine surgery analyzed the number of acquisitions, total radiation dose, and dosimetric differences between various surgical indications. Results indicate that mean acquisition number and cumulative patient radiation exposure is higher in more major surgeries including spinal deformity correction [66]. Various studies highlight the need for careful balancing of the benefits of navigation accuracy with the radiation exposure risks, recommending minimized acquisitions and tailored approaches based on surgical complexity [49,65,66]. Understandably, there has been hesitance in accepting navigation systems as ubiquitous surgical tools due to the steep learning curve and few studies have shown the exact effect on surgeons’ mentalities regarding procedures [45]. Similarly, few studies have analyzed the cost-effectiveness of navigation systems from a practitioner’s perspective.

ROBOTICS

The first usage of robotics noted in the field of surgery dates to 1985 when The Programmable Universal Machine for Assembly was used to collect stereotactic brain biopsies [67]. Since this advancement, robotic technology has progressed into usage across the field of medicine, including spine surgery. Seven different robotics systems are approved by the Food and Drug Administration for usage in spinal procedures [68]. These systems are headlined by the da Vinci system which revolutionized minimally invasive procedures [69]. Current systems range from autonomous control with only supervision by the surgeon to direct control of the robotic system [70]. Even with the expansion of robotic spine systems, the transition into the usage of this technology has been slowed by many surgeons. One of the main barriers in this transition is the inadequate or lack of training resources that are available with the new technology [71]. Another barrier to entry into the operating room for this technology is the high upfront cost of equipment. Despite these barriers, surgical systems have shown promise in improving surgical outcomes and physician experience.
Robotic systems have shown a great improvement in accuracy of pedicle screw placement over conventional hand placements (Figure 5) [72]. Accuracy of pedicle screw placement has been demonstrated to be 98.74% through usage of a robotic guided system with intraoperative repositioning [73]. These results were repeated in a study which demonstrated a pedicle screw accuracy of 97.9% compared to preoperative planning with none requiring revised placement [74]. Blood loss, surgical time, and postoperative length of stay have been decreased in the usage of robotics assisted minimally invasive surgery in comparison to traditional open procedures [75]. Not only have robotic systems demonstrated a higher level of accuracy, but they have also shown promise in decreasing harm by radiation, with decreases in procedure time and radiation exposure. Radiation exposure has been found to be 9.96 times higher for the surgeon when robotic navigation systems were not used [76,77].
Similarly, robotic systems have demonstrated themselves to be cost effective options due to lower rates of revisions and complications [78,79] demonstrated similar cost-effectiveness as $608,546 would be saved during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases through the usage of robotic technology. These results demonstrate a clear improvement in surgical outcomes and processes through the implementation of robotic systems. However, usage remains scarce, and propositions have been made for curriculums to aid in the transition of robotics into mainstream usage by surgeons [80].

CONCLUSION

The landscape of spine surgery has evolved significantly over the years, driven by technological advancements aimed at improving patient outcomes, reducing morbidity, and enhancing surgical precision. The transition from conventional open procedures to minimally invasive techniques has modernized spinal interventions and offered benefits such as reduced tissue exposure, faster recovery, and improved surgical accuracy.
Among the innovative technologies shaping modern spine surgery, exoscope-assisted procedures have emerged as promising alternatives to traditional microscopes. These systems offer enhanced visualization and may mitigate the risks associated with prolonged surgical procedures and surgeon fatigue. Similarly, the integration of navigation systems has revolutionized spinal surgeries by providing real-time surgical guidance. Additionally, robotic systems have shown promise in enhancing surgical outcomes, with increased accuracy and reduced recovery times.
Despite their distinct functionalities, these innovations share common objectives to prioritize precision and accuracy in surgical interventions. The shared objectives are achieved through unique routes including the ability to increase surgical visualization capabilities and intraoperative guidance. Benefits inherent in these technologies, provide surgeons with clearer views of the surgical site and enabling intricate procedures through smaller incisions. Moreover, there is a need to continue improving the accessibility of these technologies, with efforts to reduce the cost barriers associated with acquiring and implementing these technologies.

NOTES

Conflicts of interest

The authors have nothing to disclose.

Funding/Support

This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author Contribution

Conceptualization: RA, AAM, BLW; methodology: RA, AAM, CW, BLW; Project administration: AAM, BLW; Visualization: RA, AAM, BLW; Writing – original draft: RA, AAM, CW; Writing – review & editing: R RA, AAM, CW, BLW

Figure 1.
A depiction of the digital spine endoscope system: a single-use digital endoscope connected to a medical tablet with a touch screen. The option to project the image onto a larger medical monitor is also available. The built-in channel is connected to an irrigation fluid and suction tube. Adapted from Cheng et al. Bioengineering 2024;11:99 [7].
jmisst-2024-01508f1.jpg
Figure 2.
The standard surgical setting during exoscopic minimally invasive open-door laminoplasty using an exoscope. The camera is positioned above the surgical field. The surgeon wears 3-dimensional polarized glasses and performs surgery while observing the monitor. Adapted from Yamane et al. J Clin Med 2024;13:2173 [25].
jmisst-2024-01508f2.jpg
Figure 3.
Technical operations of computed tomography (CT)-based navigation: This figure shows the functional components that allow image-guided navigation systems to operate. Beginning with 3-dimensional (3D) reconstruction, shown in the first panel, CT-based systems develop an anatomical model using preoperative patient imaging. The 3D model is then used to register the patient’s anatomy in space, synchronizing the model’s orientation and size with the patient. Intraoperative tracking of surgical instruments is achieved using cameras that provide information on the location of reflective markers in the operative space. Finally, high-resolution visualization of the patient’s anatomy and surgical instruments throughout the procedure is accomplished with various application program interfaces that process changes as they develop. Adapted from Wilson et al. J Clin Med. 2024;13:2036 [40].
jmisst-2024-01508f3.jpg
Figure 4.
Intraoperative images of O-arm navigation. (A) Setting of O-arm. (B) Insertion of pedicle screws under computed tomography (CT) navigation. (C) Reconstruction of CT image on the navigation monitor. Adapted from Otomo and Funao. Medicina (B Aires) 2022;58:241 [36].
jmisst-2024-01508f4.jpg
Figure 5.
(Left image) Intraoperative pseudo-live instrument tracking, surgeon’s view (TrackX, Chapel Hill, NC, USA). (Right image) Lateral projection depicting the trajectory of bilateral pedicle screws (green and blue dotted line). Anteroposterior projection of the bilateral pedicle screw trajectories (green and blue dotted line). Adapted from Drossopoulos et al. J Clin Med 2024;13:2410 [72].
jmisst-2024-01508f5.jpg

REFERENCES

1. Spinal cord injury [Internet]. Geneva (Switzerland): World Health Organization; 2024 [2024 May 10]. Available from: https://www.who.int/news-room/fact-sheets/detail/spinal-cord-injury.

2. Singh A, Tetreault L, Kalsi-Ryan S, Nouri A, Fehlings MG. Global prevalence and incidence of traumatic spinal cord injury. Clin Epidemiol 2014;6:309–31.
crossref pmid pmc
3. Overview of operating room procedures during inpatient stays in U.S. hospitals, 2018. Statistical brief #281 [Internet]. Bethesda (MD): Agency for Healthcare Research and Quality; 2021 [2024 May 10]. Available from: https://hcup-us.ahrq.gov/reports/statbriefs/sb281-Operating-Room-Procedures-During-Hospitalization-2018.jsp.

4. Bae J, Lee SH. Minimally invasive spinal surgery for adult spinal deformity. Neurospine 2018;15:18–24.
crossref pmid pmc pdf
5. Oertel JM, Burkhardt BW. Vitom-3D for exoscopic neurosurgery: initial experience in cranial and spinal procedures. World Neurosurg 2017;105:153–62.
crossref pmid
6. Giorgi PD, Pallotta ML, Legrenzi S, Nardi M, Andrea M, Schirò GR. Spinal cord compression in thoracolumbar burst fractures: application of high-definition three-dimensional exoscope in minimally invasive lateral surgery. Eur J Orthop Surg Traumatol 2023;33:2173–7.
crossref pmid pmc pdf
7. Cheng SH, Lin YT, Lu HT, Tsuei YC, Chu W, Chu WC. The evolution of spinal endoscopy: design and image analysis of a single-use digital endoscope versus traditional optic endoscope. Bioengineering 2024;11:99.
crossref pmid pmc
8. Ariffin MHM, Ibrahim K, Baharudin A, Tamil AM. Early experience, setup, learning curve, benefits, and complications associated with exoscope and three-dimensional 4K hybrid digital visualizations in minimally invasive spine surgery. Asian Spine J 2020;14:59–65.
crossref pmid pmc pdf
9. Evaniew N, Khan M, Drew B, Kwok D, Bhandari M, Ghert M. Minimally invasive versus open surgery for cervical and lumbar discectomy: a systematic review and meta-analysis. CMAJ Open 2014;2:E295–305.
crossref pmid pmc
10. Vaishnav AS, Othman YA, Virk SS, Gang CH, Qureshi SA. Current state of minimally invasive spine surgery. J Spine Surg 2019;5(Suppl 1):S2–10.
crossref pmid pmc
11. Montemurro N, Scerrati A, Ricciardi L, Trevisi G. The exoscope in neurosurgery: an overview of the current literature of intraoperative use in brain and spine surgery. J Clin Med 2022;11:223.
crossref pmid pmc
12. Lin H, Chen F, Mo J, Lin T, Wang Z, Liu W. Cervical spine microsurgery with the high-definition 3D exoscope: advantages and disadvantages. World Neurosurg 2022;161:e1–7.
crossref pmid
13. Herlan S, Marquardt JS, Hirt B, Tatagiba M, Ebner FH. 3D exoscope system in neurosurgery--comparison of a standard operating microscope with a new 3D exoscope in the cadaver lab. Oper Neurosurg (Hagerstown) 2019;17:518–24.
crossref pmid pdf
14. Siller S, Zoellner C, Fuetsch M, Trabold R, Tonn JC, Zausinger S. A high-definition 3D exoscope as an alternative to the operating microscope in spinal microsurgery. J Neurosurg Spine 2020;33:705–14.
crossref pmid
15. De Divitiis O, D’Avella E, Denaro L, Somma T, Sacco M, D’Avella D. VITOM®-3D: preliminary experience with intradural extramedullary spinal tumors. J Neurosurg Sci 2022;66:356–61.
crossref pmid
16. Langer DJ, White TG, Schulder M, Boockvar JA, Labib M, Lawton MT. Advances in intraoperative optics: a brief review of current exoscope platforms. Oper Neurosurg (Hagerstown) 2020;19:84–93.
crossref pmid pdf
17. Lavé A, Gondar R, Demetriades AK, Meling TR. Ergonomics and musculoskeletal disorders in neurosurgery: a systematic review. Acta Neurochir (Wien) 2020;162:2213–20.
crossref pmid pmc pdf
18. Auerbach JD, Weidner ZD, Milby AH, Diab M, Lonner BS. Musculoskeletal disorders among spine surgeons: Results of a survey of the scoliosis research society membership. Spine (Phila Pa 1976) 2011;36:E1715–21.
crossref pmid
19. Kusyk DM, Jeong S, Fitzgerald E, Kaye B, Li J, Williamson R, et al. Surgical posture with microscopic versus exoscopic visualization in anterior cervical procedures. World Neurosurg 2024;181:e562–6.
crossref pmid
20. Abramovic A, Demetz M, Krigers A, Bauer M, Lener S, Pinggera D, et al. Surgeon's comfort: the ergonomics of a robotic exoscope using a head-mounted display. Brain Spine 2021;2:100855.
crossref pmid pmc
21. Begagić E, Bečulić H, Skomorac R, Pojskić M. Accessible spinal surgery: transformation through the implementation of exoscopes as substitutes for conventional microsurgery in low- and middle-income settings. Cureus 2023;15:e45350.
crossref pmid pmc
22. Lei F, Xie Y, Fu J, Xie Z, Zhang M. Advantages of 3-dimensional exoscope-assisted anterior cervical spine surgery: a meta-analysis. Acta Neurochir (Wien) 2023;165:3077–87.
crossref pmid pdf
23. Calloni T, Roumy LG, Cinalli MA, Rocca A, Held A, Trezza A, et al. Exoscope as a teaching tool: a narrative review of the literature. Front Surg 2022;9:878293.
crossref pmid pmc
24. Krishnan KG, Schöller K, Uhl E. Application of a compact high-definition exoscope for illumination and magnification in high-precision surgical procedures. World Neurosurg 2017;97:652–60.
crossref pmid
25. Yamane K, Narita W, Takao S, Takeuchi K. Exoscopic minimally invasive open-door laminoplasty for cervical myelopathy: a technical note and preliminary analysis of clinical outcomes during the acute postoperative period. J Clin Med 2024;13:2173.
crossref pmid pmc
26. Layard Horsfall H, Mao Z, Koh CH, Khan DZ, Muirhead W, Stoyanov D, et al. Comparative learning curves of microscope versus exoscope: a preclinical randomized crossover noninferiority study. Front Surg 2022;9:920252.
crossref pmid pmc
27. Giammalva GR, Paolini F, Meccio F, Giovannini EA, Provenzano A, Bonosi L, et al. Assessing the training in neurosurgery with the implementation of VITOM-3D exoscope: learning curve on experimental model in neurosurgical practice. Brain Sci 2023;13:1409.
crossref pmid pmc
28. Parihar V, Yadav YR, Kher Y, Ratre S, Sethi A, Sharma D. Learning neuroendoscopy with an exoscope system (video telescopic operating monitor): early clinical results. Asian J Neurosurg 2016;11:421–6.
crossref pmid pmc
29. Muhammad S, Lehecka M, Niemelä M. Preliminary experience with a digital robotic exoscope in cranial and spinal surgery: a review of the Synaptive Modus V system. Acta Neurochir (Wien) 2019;161:2175–80.
crossref pmid pmc pdf
30. D’Ercole M, Serchi E, Zanello M, Tufo T, Sturiale C. Clinical application of a high definition three-dimensional exoscope in anterior lumbar interbody fusion: technical note. Int J Spine Surg 2020;14:1003–8.
crossref pmid pmc
31. Burkhardt BW, Csokonay A, Oertel JM. 3D-exoscopic visualization using the VITOM-3D in cranial and spinal neurosurgery. What are the limitations? Clin Neurol Neurosurg 2020;198:106101.
crossref pmid
32. Schupper AJ, Roa JA, Hadjipanayis CG. Contemporary intraoperative visualization for GBM with use of exoscope, 5-ALA fluorescence-guided surgery and tractography. Neurosurg Focus Video 2022;6:V5.
crossref pmid pmc
33. Maeda M, Nonaka M, Naito N, Ueno K, Kamei T, Asai A. 5-ALA fluorescence-guided resection of pediatric low-grade glioma using the ORBEYE 3D digital exoscope: a technical report. Childs Nerv Syst 2023;39:1061–4.
crossref pmid pdf
34. Vogelbaum MA, Kroll D, Etame A, Tran N, Liu J, Ford A, et al. A prospective validation study of the first 3D digital exoscope for visualization of 5-ALA-induced fluorescence in high-grade gliomas. World Neurosurg 2021;149:e498–503.
crossref pmid
35. Mao JZ, Agyei JO, Khan A, Hess RM, Jowdy PK, Mullin JP, et al. Technologic evolution of navigation and robotics in spine surgery: a historical perspective. World Neurosurg 2021;145:159–67.
crossref pmid
36. Otomo N, Funao H, Yamanouchi K, Isogai N, Ishii K. Computed tomography-based navigation system in current spine surgery: a narrative review. Medicina (B Aires) 2022;58:241.
crossref pmid pmc
37. Kim TT, Johnson JP, Pashman R, Drazin D. Minimally invasive spinal surgery with intraoperative image-guided navigation. Biomed Res Int 2016;2016:5716235.
crossref pmid pmc pdf
38. Maintz JBA, Viergever MA. An overview of medical image registration methods. Utrecht (Netherland): Utrecht University: Information and Computing Sciences; 1998.

39. Sembrano JN, Polly DW, Gerald C, Ledonio T, Rainier E, Santos G. Intraoperative 3-dimensional imaging (O-arm) for assessment of pedicle screw position: does it prevent unacceptable screw placement? Int J Spine Surg 2012;6:49–54.
crossref pmid pmc
40. Wilson JP, Fontenot L, Stewart C, Kumbhare D, Guthikonda B, Hoang S. Image-guided navigation in spine surgery: from historical developments to future perspectives. J Clin Med 2024;13:2036.
crossref pmid pmc
41. Enchev Y. Neuronavigation: geneology, reality, and prospects. Neurosurg Focus 2009;27:E11.
crossref pmid pmc
42. Yamout T, Orosz LD, Good CR, Jazini E, Allen B, Gum JL. Technological advances in spine surgery: navigation, robotics, and augmented reality. Orthop Clin North Am 2023;54:237–46.
crossref pmid
43. Kesserwan MA, Shakil H, Lannon M, McGinn R, Banfield L, Nath S, et al. Frame-based versus frameless stereotactic brain biopsies: a systematic review and meta-analysis. Surg Neurol Int 2021;12:52.
crossref pmid pmc
44. Butt BB, Piche J, Gagnet P, Patel R, Aleem I. Stereotactic navigation in anterior cervical spine surgery: surgical setup and technique. J Spine Surg 2020;6:598–605.
crossref pmid pmc
45. Mezger U, Jendrewski C, Bartels M. Navigation in surgery. Langenbecks Arch Surg 2013;398:501–14.
crossref pmid pmc pdf
46. Virk S, Qureshi S. Navigation in minimally invasive spine surgery. J Spine Surg 2019;5(Suppl 1):S25–30.
crossref pmid pmc
47. Spiker WR, Goz V, Brodke DS. Lumbar interbody fusions for degenerative spondylolisthesis: review of techniques, indications, and outcomes. Global Spine J 2019;9:77–84.
crossref pmid pmc pdf
48. Silbermann J, Riese F, Allam Y, Reichert T, Koeppert H, Gutberlet M. Computer tomography assessment of pedicle screw placement in lumbar and sacral spine: comparison between free-hand and O-arm based navigation techniques. Eur Spine J 2011;20:875–81.
crossref pmid pmc pdf
49. Tian NF, Huang QS, Zhou P, Zhou Y, Wu RK, Lou Y, et al. Pedicle screw insertion accuracy with different assisted methods: a systematic review and meta-analysis of comparative studies. Eur Spine J 2011;20:846–59.
crossref pmid pmc pdf
50. Merloz P, Troccaz J, Vouaillat H, Vasile C, Tonetti J, Eid A, et al. Fluoroscopy-based navigation system in spine surgery. Proc Inst Mech Eng H 2007;221:813–20.
crossref pmid pdf
51. Lee GY, Massicotte EM, Rampersaud YR. Clinical accuracy of cervicothoracic pedicle screw placement: a comparison of the "open" lamino-foraminotomy and computer-assisted techniques. J Spinal Disord Tech 2007;20:25–32.
crossref pmid
52. Shree Kumar D, Ampar N, Wee Lim L. Accuracy and reliability of spinal navigation: an analysis of over 1000 pedicle screws. J Orthop 2020;18:197–203.
crossref pmid pmc
53. Laine T, Lund T, Ylikoski M, Lohikoski J, Schlenzka D. Accuracy of pedicle screw insertion with and without computer assistance: a randomised controlled clinical study in 100 consecutive patients. Eur Spine J 2000;9:235–40.
crossref pmid pmc pdf
54. Nakashima H, Sato K, Ando T, Inoh H, Nakamura H. Comparison of the percutaneous screw placement precision of isocentric C-arm 3-dimensional fluoroscopy-navigated pedicle screw implantation and conventional fluoroscopy method with minimally invasive surgery. J Spinal Disord Tech 2009;22:468–72.
crossref pmid
55. Ito H, Neo M, Yoshida M, Fujibayashi S, Yoshitomi H, Nakamura T. Efficacy of computer-assisted pedicle screw insertion for cervical instability in RA patients. Rheumatol Int 2007;27:567–74.
crossref pmid pdf
56. Ishikawa Y, Kanemura T, Yoshida G, Ito Z, Muramoto A, Ohno S. Clinical accuracy of three-dimensional fluoroscopy-based computer-assisted cervical pedicle screw placement: a retrospective comparative study of conventional versus computer-assisted cervical pedicle screw placement. J Neurosurg Spine 2010;13:606–11.
crossref pmid
57. Yson SC, Sembrano JN, Sanders PC, Santos ERG, Ledonio CGT, Polly DW. Comparison of cranial facet joint violation rates between open and percutaneous pedicle screw placement using intraoperative 3-D CT (O-arm) computer navigation. Spine (Phila Pa 1976) 2013;38:E251–8.
crossref pmid
58. Van de Kelft E, Costa F, Van der Planken D, Schils F. A prospective multicenter registry on the accuracy of pedicle screw placement in the thoracic, lumbar, and sacral levels with the use of the o-arm imaging system and stealthstation navigation. Spine (Phila Pa 1976) 2012;37:E1580–7.
crossref pmid
59. Larson AN, Santos ER, Polly DW Jr, Ledonio CG, Sembrano JN, Mielke CH, et al. Pediatric pedicle screw placement using intraoperative computed tomography and 3-dimensional image-guided navigation. Spine (Phila Pa 1976) 2012;37:E188–94.
crossref pmid
60. Kotani Y, Abumi K, Ito M, Takahata M, Sudo H, Ohshima S, et al. Accuracy analysis of pedicle screw placement in posterior scoliosis surgery: comparison between conventional fluoroscopic and computer-assisted technique. Spine (Phila Pa 1976) 2007;32:1543–50.
crossref pmid
61. Kotani Y, Abumi K, Ito M, Minami A. Improved accuracy of computer-assisted cervical pedicle screw insertion. J Neurosurg Spine 2003;99:257–63.
crossref pmid
62. Amiot LP, Lang K, Putzier M, Zippel H, Labelle H. Comparative results between conventional and computer-assisted pedicle screw installation in the thoracic, lumbar, and sacral spine. Spine (Phila Pa 1976) 2000;25:606–14.
crossref pmid
63. Dea N, Fisher CG, Batke J, Strelzow J, Mendelsohn D, Paquette SJ, et al. Economic evaluation comparing intraoperative cone beam CT-based navigation and conventional fluoroscopy for the placement of spinal pedicle screws: a patient-level data cost-effectiveness analysis. Spine J 2016;16:23–31.
crossref pmid
64. Palmer R, Ton A, Robertson D, Liu KG, Liu JC, Wang JC, et al. Top 25 most cited articles on intraoperative computer tomography-guided navigation in spine surgery. World Neurosurg 2024;184:322–30.e1.
crossref pmid
65. Mendelsohn D, Strelzow J, Dea N, Ford NL, Batke J, Pennington A, et al. Patient and surgeon radiation exposure during spinal instrumentation using intraoperative computed tomography-based navigation. Spine J 2016;16:343–54.
crossref pmid
66. Bourret S, Cloche T, Boue L, Thompson W, Dubois T, Le Huec JC. Computed tomography intraoperative navigation in spinal surgery: assessment of patient radiation exposure in current practices. Int J Spine Surg 2022;16:909–15.
crossref pmid pmc
67. Kwoh YS, Hou J, Jonckheere EA, Hayati S. A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery. IEEE Trans Biomed Eng 1988;35:153–60.
crossref pmid
68. Jiang B, Azad TD, Cottrill E, Zygourakis CC, Zhu AM, Crawford N, et al. New spinal robotic technologies. Front Med 2019;13:723–9.
crossref pmid pdf
69. Maeso S, Reza M, Mayol JA, Blasco JA, Guerra M, Andradas E, et al. Efficacy of the Da Vinci surgical system in abdominal surgery compared with that of laparoscopy: a systematic review and meta-analysis. Ann Surg 2010;252:254–62.
crossref pmid
70. Nathoo N, Çavuşoğlu MC, Vogelbaum MA, Barnett GH. In touch with robotics: neurosurgery for the future. Neurosurgery 2005;56:421–33.
crossref pmid
71. Härtl R, Lam KS, Wang J, Korge A, Kandziora F, Audigé L. Worldwide survey on the use of navigation in spine surgery. World Neurosurg 2013;79:162–72.
crossref pmid
72. Drossopoulos PN, Sharma A, Ononogbu-Uche FC, Tabarestani TQ, Bartlett AM, Wang TY, et al. Pushing the limits of minimally invasive spine surgery-from preoperative to intraoperative to postoperative management. J Clin Med 2024;13:2410.
crossref pmid pmc
73. Verma R, Krishan S, Haendlmayer K, Mohsen A. Functional outcome of computer-assisted spinal pedicle screw placement: a systematic review and meta-analysis of 23 studies including 5,992 pedicle screws. Eur Spine J 2010;19:370–5.
crossref pmid pmc pdf
74. van Dijk JD, van den Ende RPJ, Stramigioli S, Köchling M, Höss N. Clinical pedicle screw accuracy and deviation from planning in robot-guided spine surgery. Spine (Phila Pa 1976) 2015;40:E986–91.
crossref pmid
75. Beyer RS, Nguyen A, Brown NJ, Gendreau JL, Hatter MJ, Pooladzandi O, et al. Spinal robotics in cervical spine surgery: a systematic review with key concepts and technical considerations. J Neurosurg Spine 2022;38:66–74.
crossref pmid
76. Villard J, Ryang YM, Demetriades AK, Reinke A, Behr M, Preuss A, et al. Radiation exposure to the surgeon and the patient during posterior lumbar spinal instrumentation: a prospective randomized comparison of navigated versus non-navigated freehand techniques. Spine (Phila Pa 1976) 2014;39:1004–9.
crossref pmid
77. Lieberman IH, Hardenbrook MA, Wang JC, Guyer RD. Assessment of pedicle screw placement accuracy, procedure time, and radiation exposure using a miniature robotic guidance system. J Spinal Disord Tech 2012;25:241–8.
crossref pmid
78. Chumnanvej S, Ariyaprakai K, Pillai BM, Suthakorn J, Gurusamy S, Chumnanvej S. Cost-effectiveness of robotic-assisted spinal surgery: a single-center retrospective study. Laparosc Endosc Robot Surg 2023;6:147–53.
crossref
79. Menger RP, Savardekar AR, Farokhi F, Sin A. A cost-effectiveness analysis of the integration of robotic spine technology in spine surgery. Neurospine 2018;15:216–24.
crossref pmid pmc pdf
80. Judy BF, Pennington Z, Botros D, Tsehay Y, Kopparapu S, Liu A, et al. Spine image guidance and robotics: exposure, education, training, and the learning curve. Int J Spine Surg 2021;15(s2):S28–37.
crossref pmid pmc
TOOLS
PDF Links  PDF Links
PubReader  PubReader
ePub Link  ePub Link
XML Download  XML Download
Full text via DOI  Full text via DOI
Download Citation  Download Citation
  Print
Share:      
METRICS
0
Crossref
0
Scopus
1,197
View
38
Download
Related article
Complications in Cervical and Thoracic Spine Surgery  2023 April;8(1)
About |  Browse Articles |  Editorial Policy |  For Contributors
Editorial Office
Department of Neurosurgery, Harrison Spinartus Hospital Chungdam
646 Samseong-ro, Gangnam-gu, Seoul 06084, Korea
TEL: +82-2-6003-9767    FAX: +82-2-3445-9755   E-mail: office@jmisst.org
Publisher
Korean Minimally Invasive Spine Surgery Society
350 Seocho-daero, Seocho-gu, Seoul 06631, Korea
TEL: +82-2-585-5455    FAX: +82-2-523-6812   E-mail: komisskomiss@gmail.com
Copyright © Korean Minimally Invasive Spine Surgery Society.                 Developed in M2PI