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6 Imaging-Based Navigation: Summary ofClinical Results
75
surgeons compared to those performing non-spinal musculoskeletal procedures. The dose associated with increased risk of radiation-induced cancers is around 10,000 mrem [11]. Conventional projected images are subject to parallax, leading to some degree of inaccuracy [12]. Lastly, only one plane of imaging can be controlled for at a time.
Nolte etal. [4] initially described a system using computer-assisted surgical nav­igation (Fig.6.1). Critical invivo studies have demonstrated several advantages. First, Rampersaud et al. demonstrated a clinically signicant pedicle breach of >2mm at a rate of 1.4% [13]. As judged by postoperative CT imaging, which is the standard tool used for measuring screw accuracy across many studies, pedicle corti­cal breaches of <2 mm can be attributed to metal artifact or screw-pedicle mis­match. Breaches of <2mm are clinically insignicant [14]. Fluoroscopic navigation is more accurate in the placement of pedicle screws in the sagittal (cranial-caudal) trajectory than in the axial (medial-lateral) trajectory [15]. The rate of accurate screw placement with uoroscopic navigation is comparable to CT navigation [16]. In addition to accurate placement of implants, the trajectory imparts important bio­mechanical properties. Ideal pedicle screw trajectories are more often achieved using uoroscopic navigation systems than with uoroscopy alone [17].
This technology allows for a signicant reduction in radiation exposure to the surgeon [1720]. The average radiation time per pedicle instrumented is between 3 and 4 s. This radiation exposure is still higher than that of CT-guided navigation. Additionally, there is a signicant reduction in the amount of time it takes to instru­ment each level involved [17].
This technology is not without drawbacks. Operating room setup takes signi­cantly longer when using uoroscopic navigation as compared to standard uoros­copy. Despite having the benet of a faster time to instrumentation, the use of this type of navigation does reect a longer overall operative time per level. This is accounted for in the registration of navigated instruments [17, 18]. Moreover, the use of this does not decrease the risk of inadvertent facet joint injury during screw insertion [17]. Fluoroscopic imaging still relies on the surgeon’s ability to interpret the quality of the imaging to verify its accuracy. The accepted clinical accuracy range is ve vertebral segments for one reference array. In large multilevel con­structs, this can require multiple image acquisition sessions; however, some studies have demonstrated no change in pedicle screw placement accuracy when the array is placed at T1 and the entire thoracic spine is instrumented [13].This technology is also very sensitive to changes in spine position and alignment; however, the reliance on intraoperative uoroscopic imaging allows these systems to have internal valida­tion in real-time.
In addition to 2-dimensional (2D) uoroscopic navigation, 3-dimensional (3D) uoroscopic navigation is commonly utilized in spinal surgery. 2D navigation relies on standard intraoperative uoroscopy, while 3D navigation is based off of cross­sectional imaging obtained via a CT scan or 3D uoroscopy. The CT scan can be either obtained intraoperatively or preoperatively. If obtained preoperatively, certain protocols must be followed in image acquisition. One of the largest studies to evalu­ate this technology (1100 screws) found 3D uoroscopic navigation to be as
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accurate as CT-guided navigation [21]. The choice of use between 2D and 3D navi­gation is often made by equipment availability and surgeon preference [22]. Gruetzner et al. compared 3D uoroscopic navigation with standard methods, CT-guided navigation, and 2D navigation. 3D navigation outpaced all other meth­ods in terms of screw accuracy and precision. 3D navigation also boasts the lowest uoroscopic time as compared to the other groups. This resulted in a lower overall radiation exposure [20]. Operative time, an area of mixed results for 2D navigation, was found to be comparable among all four groups in this data [23].

Computerized Tomography-Guided Systems

CT-guided navigation systems are available from a wide variety of companies. These systems can be broken down into two major categories. The rst type utilizes information from CT imaging obtained prior to the surgical date. This is then cross­referenced intraoperatively by registering certain known anatomic landmarks (spi­nous process, facet, transverse process, etc.). This allows the computer system to generate stereotactic navigation of instruments and implants. The alternative method involves obtaining an intraoperative CT scan (or scans) and using this information to calibrate all instrumentation facilitating stereotactic navigation.
Navigation based on preoperative CT imaging is the older of the two methods. Thus a large body of literature exists to examine its efcacy. A signicant effort is required to correctly set up the operating room to accommodate this technology. There is also a well-documented learning curve that surgeons need to overcome when integrating this into their practice [15, 19]. This learning curve is reported to be around 6 months, after which surgeons typically experience reduced operative time by over 30min and cortical perforation rate by 6% [24]. Other articles report a learning curve for this technology around 50 cases, after which cortical perforation rate drops by 5–6% [25].
This technology has been heavily compared against 2D and 3D uoroscopic­guided navigation. Many studies available are, unfortunately, limited by their small sample sizes and are likely underpowered. In 2009, Tian et al. [26] published a meta-analysis evaluating accuracy of pedicle screw placement using uoroscopic and CT-guided navigation (Fig.6.2). Some smaller invivo and invitro studies have demonstrated no signicant differences in the accuracy rate of the three computer­assisted navigation systems. There were trends noted that 2D uoroscopy was the least accurate modality, then CT navigation, and nally 3D uoroscopy, which was the most accurate. A meta-analysis noted that data for 3D uoroscopy was sparse, and meaningful conclusions could not be drawn. There was a statistically signicant difference in the accuracy of CT navigation over 2D uoroscopic navigation. These results were most consistent when considering only thoracolumbar levels of instru­mentation. The results also held true when examining only single-level instrumenta­tion procedures (e.g. L4–L5). There was no signicant difference in overall operative
6 Imaging-Based Navigation: Summary ofClinical Results
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Fig. 6.2 Evaluation of screw accuracy comparing 2D/3D uoroscopic navigation and CT naviga­tion [26]
time, with CT navigation accounting for only 9min of additional operative time per case [27].
Adjacent segment disease is a common complication that often necessitates re­operation in patients undergoing fusion surgeries. One of the key tenets in avoiding this pathology is preservation of the cranial-level facet joint. Injury to this joint can lead to accelerated degeneration once exposed to increased stress secondary to the adjacent fusion. A unique advantage of CT-guided navigation systems is the clear 3D identication of this structure. When this has been compared against uoro­scopic navigation modalities, CT-guided navigation systems have a signicantly lower rate (4% vs. 26.5%) of cranial facet joint penetration during spinal instrumen­tation [28]. This study is limited in that it did not follow patients to determine if there was a direct correlation between facet joint penetration and the development of adjacent segment disease.
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Intraoperative CT imaging also demonstrates several benets over conventional pedicle screw placement technique. Multiple studies have demonstrated that there is a signicantly lower rate of pedicle re-instrumentation using this technology [2931]. This is a critically important factor to note as preserving pedicle screw xation is crucial to achieving a stable fusion construct. Interestingly, these studies did not note any signicant reduction in their rate of reoperation for symptomatic screw misplacement.
There is mixed evidence correlating intraoperative CT navigation with surgical efciency. Older studies indicate that there is no difference in case time [30], but newer studies indicate that there is an increase in operative time using intraoperative CT navigation [29]. This increase in operative time is, on average, 23min. The increased operative time is balanced by the lower rates of intraoperative blood loss and complication rates from screw misplacement [29].
Radiation exposure to the patient and the surgeon is another critical consider­ation when examining the role for CT-guided navigation in practice. Using intraop­erative CT scans results in nearly a threefold increase in radiation exposure to patients when compared to non-navigated cases [32]. This signicant increase in patient exposure is reduced to insignicance when considering only long-construct fusion. The total radiation exposure is, however, less than that of a conventional lumbar CT (5.6 mSv vs. 7.2 mSv). In contrast, the surgical team sees a 2.5-fold reduction in radiation exposure as compared to uoroscopy use. The radiation from the CT scan to the patient is well below the accepted treatment threshold for patient exposure (365 mGy vs. 2000 mGy).

Robotic Assisted Navigation Systems

Many surgical disciplines are seeing advances in the eld of robotic-assisted surger­ies. This technology has widespread applications in areas including abdominal sur­geries, gynecologic procedures, total joint arthroplasty, and spinal surgeries. The goal of integrating robotics in to surgical practice is to improve accuracy, feasibility, and efciency when performing certain portions of surgical procedures. In spine surgery, an obvious application is placement of pedicle screws (Fig.6.3).
Since the earliest feasibility studies of robotic integration in the placement of pedicle screw instrumentation, there have been clear advantages with its use. Robotics has been shown to improve both the accuracy of templating planned screw size/trajectories as well as screw placement [34]. Reportedly, screw placement is within 1.02 mm ± 0.56 mm of planned placement. To put this into perspective, screws with <2mm cortical breach have been considered safe. These early studies focused on comparing robotic screw placement to conventional freehand technique. More recently a meta-analysis compared robotics with uoroscopic (2D and 3D) navigation and CT navigation. This study demonstrated that robotic placement of pedicle screws had the highest rate of accurate placement [35]. Robotic placement also minimized the risk of screw related complications. Some studies even cite that
6 Imaging-Based Navigation: Summary ofClinical Results
Fig. 6.3 Intraoperative display for robotic navigation [33]
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as few as nine screws need to be placed with robotics to avoid one complication related to screw misplacement [36].
As with other navigation technologies, most studies suggest that there is lower overall radiation exposure to patients, surgeons, and operating room staff [36, 37]. Similarly, when comparing uoroscopic time of conventional pedicle screw place­ment with robotic pedicle screw placement, most literature suggest a clear benet to robotics usage. However, in a 2017 systematic review by Joseph etal. [36] there were studies that demonstrated similar overall intraoperative uoroscopic time between robotic and conventional screw placement. When comparing this technol­ogy with standard navigation systems, robotic screw placement does tend to pro­duce a higher dose of radiation exposure. Importantly, there is signicant dose reduction when using a low-dose CT protocol for intraoperative imaging. This data arises from several pediatric studies, which do not speak to screw accuracy using this protocol.
A unique advantage to robotic screw placement is improved surgeon ergonomics and efciency of movement when placing pedicle screws. Much like limiting radia­tion exposure is critical to preserving the occupational health of the surgeon and their team, so too is improving ergonomics and efciency of repetitive OR practices [36, 37].
When integrating innovative technologies into one’s practice, the surgeon and team must understand that there exists a learning curve. This has been well docu­mented in various surgical disciplines, and holds true with the incorporation of robotic navigation. Surgical execution rates, which are dened as the beginning of pedicle cannulation to the insertion of instrumentation, become signicantly more
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efcient as one becomes more familiar with the technology. Time per pedicle screw placement also signicantly decreases by about 2 min per screw as the surgeon becomes more procient. Fluoroscopic time (both total and per pedicle screw) decreases by 50% during this time frame. Screw placement accuracy also improves over time. The inection point that represents when a surgeon transitions from slower than baseline to faster than baseline is not well dened in literature. Several articles suggest that surgeons will see improvement from baseline within 15–30 cases using robotic systems [36].
There are multiple factors that inuence errors in robotic systems. The most common factor cited is soft tissue pressure on the guide arm. If the robotic naviga­tion system relies on preoperative CT imaging (obtained supine), there is a signi­cant increase in error rate compared to intraoperative CT acquisition while prone. The surgeon must also factor in the shape of the facet. The drill guided can easily slide off facets that are steeply sloped, which results in lateral and inferior deviation of the screw compared to its intended path [36].
Despite showing excellent intraoperative outcomes, there remain several chal­lenges to integrating robotic navigation into a surgeon’s practice. The cost of the system ranges from $550,000 (USD) to over $1,000,000 (USD) for hardware and installation. Maintenance costs are around 10% of the list price [38]. Many advo­cates of these systems say that one benet is the potential to drastically reduce direct patient costs (by reducing re-operation rates) and indirect patient costs (avoiding prolonged disability from postoperative complications). This claim does lack long­term, high-level evidence to support it. There are ongoing studies with promising early-term results, but they are severely hampered by their small sample sizes and short follow-up duration.
Navigation inMinimally Invasive Surgery (MIS)
Minimally invasive surgery is one area of spine surgery that has beneted from the improvement and advancement of navigation technologies. Navigation has allowed surgeons to conveniently operate in small spaces with limited visibility. Percutaneous pedicle screw placement has been economized and rened with this technology. Using navigation, the surgeon is now able to eliminate guidewire usage during per­cutaneous screw placement. This improves surgical efciency and removes risk associated with guidewire placement.
Lateral interbody fusion is a technique employed often in minimally invasive surgery. This style of interbody fusion is not typically done as a stand-alone proce­dure and is often accompanied by the placement of percutaneous pedicle screws. Lateral interbody fusion was previously dependent on frequent uoroscopic imag­ing for intervertebral manipulation and instrumentation. With the incorporation of navigation techniques, the repetitive use of uoroscopy is negated. This is espe­cially benecial in cases of deformity or severe degenerative change. Navigation allows for 3D orientation in the retroperitoneal and intervertebral disc space.
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Additionally, it allows for “single position” lateral interbody fusion which includes percutaneous pedicle screw placement without repositioning. The technique has been shown to decrease operative blood loss, shorten operative time, and lower cost when compared to the standard procedure [37].
When performing minimally invasive surgeries, space available within the surgi­cal eld is at a premium. Most commonly, the reference frame for the navigation system is afxed to the patient via a clamp, pin, etc. An array is then attached for detection by the navigation software. After image acquisition, if the frame is bumped inadvertently this can lead to signicant inaccuracies in the system. In MIS proce­dures, the surgeon relies signicantly on image navigation. One solution to this problem is to use a skin marker-based tracking system for the navigation software. This system has been shown in several studies to provide reliable navigation. When comparing standard uoroscopy and skin marker-based navigation for MIS transfo­raminal interbody fusion, the navigated procedure allowed for shorter overall opera­tive time and less blood loss. For the majority of cases, set-up takes less than 25min [39].
Navigation inScoliosis/Spinal Deformity
Structural changes to the bony anatomy of the spine with scoliosis have been well described. This includes abnormalities in the pedicle dimensions, congenital bony abnormalities, and spatial changes due to the deformity itself. Freehand conven­tional screw placement is associated with a signicantly elevated risk of malposi­tion. This is particularly common for screws placed in the convexity of a thoracic curve. Screw malposition in this region can cause life-threatening great vessel injury. Additionally, these levels are often critical xation points in long, multilevel fusion constructs. Navigation offers surgeons the ability to visualize and identify the bony anatomy for instrumentation, no matter what the orientation might be. Studies that have specically evaluated the accuracy of screw placement with standard free­hand techniques versus that of navigation have shown that there is an overall accu­racy of greater than 98% when using navigation. The screw misplacement rate falls from 4.9% to 0.6%, which represents a 90% improvement in accuracy [39]. Navigation does concern for elevated exposure to ionizing radiation. In the pediatric scoliosis population, this is particularly relevant. Low-dose CT scan protocols have been developed for this issue. These low-dose protocols have successfully lowered the radiation exposure to patients without sacricing the screw accuracy rate.
Navigation is also very useful at the caudal end of long, multilevel fusion con­structs. The S2-alar-iliac (S2AI) screw is a common pelvic xation option. Freehand placement of this screw is technically challenging and can be dangerous. Fluoroscopic assisted screw placement requires signicant exposure to radiation, with multiple dedicated pelvic views. When there is a signicant change in the posi­tion of the uoroscope the contamination risk associated with its use dramatically increases. Moreover, this imaging modality is quite time intensive. With all these
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factors optimized, the misplacement rate of this implant is around 6%. This subjects intrapelvic vasculature and viscera to injury. Incorporating navigation technology achieves a greater than 95% accuracy rate with this style of pelvic xation. Navigation also allows the surgeon to measure the appropriate length and diameter of the implant, as well as targeting ideal trajectories [37].
Navigation inCervical Spine Surgery
Most studies examining navigation pertain to instrumentation within the thoracic and lumbosacral spine. The cervical spine can present interesting and unique chal­lenges to appropriate instrumentation. The cervical spine is highly mobile, and its positioning can be inadvertently changed with minimal motion. When conventional methods are used, cervical lateral mass or pedicle screw placement have a misplace­ment rate as high as 30%. Misplacement of implants in the cervical spine can lead to devastating injuries including spinal cord, nerve root, or vertebral artery injury. Using intraoperative navigation, the rate of greater than 2mm misplacement drops to 2.8%. This is still signicantly higher than instrumentation placed in any other spinal segment using navigation technology. This technology has also improved accuracy of C1 and C2 instrumentation (Fig.6.4), particularly when performing MIS techniques [39].

Augmented Reality-Based Navigation Technology

The use of augmented reality in spine surgery is still in its nascent phase, especially in comparison with the other types of navigational technology previously discussed in this chapter. There is, however, some literature that demonstrates the benets of this technology in spine surgery. This class of technology encompasses everything
ab
Fig. 6.4 Use of CT-guided navigation for placement of C2 pedicle screw [37]
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from a simple heads-up display that shows intraoperative imaging (uoroscopy or CT) to superimposition of 3-dimensional overlays onto the surgical eld (Fig.6.5).
The accuracy of instrumentation placed with augmented reality has been shown to be noninferior to standard navigation techniques and superior to standard free­hand technique. This has best been demonstrated in the thoracic and lumbosacral spine and applies to surgeons who have no familiarity with the system [40]. The largest studies of screw placement accuracy have been cadaveric studies, which do have some limitations in generalizability to invivo utilization. There are current, ongoing studies to evaluate the accuracy of pedicle screw placement intraoperatively.
This technology provides interesting advantages to the surgeonin that it provides information to the user. Proponents of augmented reality argue that the technology limits “attention shifts” and “line of site interruptions” by the surgeon during instru­mentation of the spine. Attention shifts occur when the surgeon must look away from the surgical eld to view a remote screen. Line of site interruptions implies that an object blocks the standard navigation camera from seeing the navigation arrays on the eld. Intraoperative adverse events signicantly increase with the number of attention shifts that a surgeon has during a case [40]. Line of site inter­ruptions limit real-time feedback from standard navigation systems. Augmented reality technology is not subject to this as the information is relayed directly to the surgeon’s visual eld via a headset, integrated microscope display, or other modal­ity depending on which company is utilized.
There are several other advantages unique to augmented reality. The real-time feedback for this technology allows for alerts when instrumentation is placed in sub-optimal position or trajectory. No other navigation system can provide this immediate feedback to surgeons. This is obviously limited in clinical applications by the imaging input to the system [40]. Additionally, the technology allows the surgeons to stand in a more ergonomic and natural position while operating. This may prevent occupational injuries from repetitive tasks. Line of site interruptions are very minimal, unlike with other navigation systems. The tracker is contained within the device the surgeon is wearing, which allows for very minimal disruption in the system’s understanding of where instruments are positioned. The use of
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Fig. 6.5 Use of intraoperative augmented reality navigation for instrumentation [5]
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augmented reality requires a minimal footprint in the operating room beyond what is required for standard navigation equipment. The addition of this to standard navi­gation does not signicantly impact surgical workow.
As with many of the navigational technologies, there are logistic challenges to implementing this system. There is a signicant capital investment required for pro­curement of specic equipment. The facility must also acquire intraoperative CT imaging capabilities if it does not already have them. While the preliminary data is very promising, there is a lack of high-level, long-term data for this technology. Theoretical cost analysis suggests the technology will result in signicant cost sav­ings in time, but currently, the body of available literature does not provide suf­cient evidence to support this claim [40].

Light-Based Navigation

The newest spinal navigation systems are light-based, machine vision navigation. Machine vision has been utilized for several years in numerous other industries. For spinal navigation, a specic type of machine vision called structured light imaging is utilized. This combines a light projector with two stereoscopic video cameras and captures a precise and detailed three-dimensional image of the exposed surface anatomy and co-registers it to a preoperatively or intraoperatively acquired image (e.g., uoroscopy, CT) data set. Light-based navigation has the same rate of accu­rate screw placement as 3D navigation for the cervical, thoracic, and lumbar spine [41]. Currently, the cost of this technology is 470,000 USD.The price compares favorably to other navigation platforms in that it is approximately one third the price of an intraoperative CT-based navigation system. The only disposables associated with the system are the single use reective spheres that are attached to the refer­ence array and navigation tools which come with the system [42].
The operating room footprint for this is small, particularly in comparison to other navigation systems. A mobile workstation is positioned adjacent to the surgical table and the arm adjusted to place the system head directly over the surgical eld. The surgical lamp of the system head provides sufcient illumination of the eld reducing the need for the standard ceiling mounted surgical lights. Navigation and registration can begin after surgical exposure. The structured light projector in the system head briey projects a linear light grid pattern onto the surgical eld and the anatomy distorts the light path. The degree of this distortion is detected by the over­head stereoscopic video cameras. The specic distortion of the light pattern is then used to calculate surface depths in order to reconstruct the three-dimensional topog­raphy of the exposed surgical surface anatomy and is registered to the previously acquired images [42].
This system offers several unique features. Augmented reality can be incorpo­rated into this navigation platform, which allows for a virtual “safe zone” for pedi­cle trajectory to be displayed for the surgeon. This feature is particularly useful when placing screws and real-time feedback cannot be obtained due obstruction of