Startseite Computer assisted skull base surgery: a contemporary review
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Computer assisted skull base surgery: a contemporary review

  • Alexander K. Bartella ORCID logo , Steven G. Hoshal , Bernd Lethaus und E. Bradley Strong EMAIL logo
Veröffentlicht/Copyright: 30. Juni 2022

Abstract

Skull base surgery has evolved significantly since Harvey Cushing‘s first descriptions in the early 1900s. Computer aided surgery (CAS) applications continue to expand; they include virtual surgical planning, augmented and virtual reality, 3D printing of models/cutting guides/implants, surgical navigation, and intraoperative imaging. The authors will review the current skull base CAS literature and propose a computer aided surgical workflow categorizing these applications into 3 phases: 1) Virtual planning, 2) Surgical execution, 3) Intraoperative verification.

Introduction

The first approaches to the anterior skull base were described by Cushing and Hirsch in the early 1900s [1, 2]. Smith and Maleki are attributed with some of the earliest open craniofacial approaches to the skull base in the 1950s [3, 4]. Because skull base surgery involves vital, complex anatomy in a limited physical space, surgical advances have often mirrored technological advances. The application of endoscopy and computed tomography (CT) in the 1970s improved surgical planning and accuracy [5], [6], [7], [8]. In the late 1990s the introduction of surgical planning software, 3D printing, and intraoperative navigation/CT expanded the scope of skull base surgery to include the entire anterior and middle cranial fossa [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22]. More recent refinements in intraoperative navigation and CT have resulted in decreased operative times and improved clinical outcomes [13, 14, 23]. Augmented and virtual reality tools have shown efficacy in resident education and presurgical planning [10, 24]. The authors review the current literature and present a working paradigm for computer aided skull base surgery.

Methods

The authors conducted a Pubmed.gov literature review from 2011 to 2021 using the key words “Virtual Planning” AND “Skull Base Surgery”; “Computer Aided Planning” AND “Skull Base Surgery”, and “Skull Base Surgery”. Only case series with >3 patients were considered. Cohorts describing orthognathic surgery were excluded. A total of 16 articles were identified (Table 1) and are included in the review.

Table 1:

Overview of literature addressing computer assisted skull base surgery from 2011 to 2021. Articles are ordered by their year of publication.

Author/Publication Year/Journal Kind of article Anatomical location Content Preoperative planning Execution Verification n patients
Novak et al./The use of an O-arm in endonasal endoscopic operations of the skull base (43) 2021

BMC Surgery
Prospective pilot study Hypophyseal adenoma Neuronavigation with additional intraoperative 3D X-ray examination had a significant lower error MRI and CT scans Intraoperative 3D X-ray examination With intraoperative navigation: 0 mm deviation, without 2.65 mm 6
Swendseid et al./VSP in subscapular system free flap reconstruction of midface defects (39) 2020

Journal of Oral Oncology
Retrospective cohort study Mid-face Virtual planning in reconstructive mid-face surgery Commercial planning CT scan Commercial planning and cutting guides Postoperative CT scan and calculation of the deviation. Nine patients with surgical planning and 14 without
Mounir et al.: Computer-guided gap arthroplasty: a New approach to the execution of preplanned osteotomies for the treatment of bony ankylosis of the temporomandibular joint 2020

British Journal of Oral and Maxillofacial Surgery
Case series TMJ surgery Usability of a 3D printed cutting guide in TMJ arthroplasty CT scan, MIMICS (medical 19.0 materialise), 3D printed cutting guide CT scan and comparison with preoperatively defined fixed points 5
Merema et al./Accuracy of fit analysis of the patient-specific groningen temporomandibular joint prosthesis (44) 2020

International Journal of Maxillofacial Surgery
Research paper TMJ surgery Total joint replacement

IPS
Prosthetsis in 10 patients

CT scan
Surgical guides,

Patient specific implant
Deviation of 1.07 mm from preoperative planning 11
Boccalatte et al.: Computer-assisted surgery for replacement of the temporomandibular joint with customized prostheses: can we validate the results? (45) 2020

Oral Maxillofacial Surgery
Case series TMJ surgery Joint replacement via IPS Virtual planning

CT, MRI, SPECT (condylar hyperplasia), wax up
Virtual navigation

Surgical splints (3D printed)
Postoperative overlap of screws planned/executed

Deviation 2.08 mm
6
Zheng et al.: Customized skull base-temporomandibular joint combined prosthesis with 3D-printing fabrication for craniomaxillofacial reconstruction: a preliminary study (46) 2019

International Journal of Maxillofacial Surgery
Prospective case series TMJ surgery Joint replacement via IPS Virtual planning simulation of Resection CT PSI, No cutting guide, no navigation Improvement of clinical indices (pain, etc.) 5
Siegmund et al.: Reconstruction of the temporomandibular joint: a comparison between prefabricated and customized alloplastic prosthetic total joint systems (47) 2019

International Journal of Maxillofacial Surgery
Clinical paper TMJ surgery Stock vs. IPS TMJ replacement IPS (Biomet) vs. Stock; DICOM data set to Biomet Clinical improvement, less complications in IPS 28 (16 IPS, 12 stock)
Zheng et al.: An innovative total temporomandibular joint prosthesis with customized design and 3D printing additive fabrication: a Prospective clinical study (48) 2019

Journal of Translational Medicine
Prospective case series TMJ surgery IPS joint replacement CT scan, 3D model, digital design of the components, fitting on the 3D printed skull Surgical templates Postop CT scan, clinical and subjective data 12
Dimitroulis et al.: A new three-dimensional, print-on-demand temporomandibular prosthetic total joint replacement system: Preliminary outcomes (49) 2018

Journal of Cranio-Maxillofacial Surger
Prospective cohort study TMJ surgery IPS total joint replacement CT scan Clinical evaluation 38 patients/50 devices
Bradley et al.: Intraoperative three-dimensional virtual reality and computed Tomographic guidance in temporomandibular joint arthroplasty of syndromic craniofacial dysostoses (35) 2019

Journal of Plastic and Reconstructive Surgery Global open
Case series TMJ surgery Virtual reality in planning of syndromatic patients with TMJ ankylosis CT scan, VR visualization, Brainlab Standard CT guidance (Brainlab), additional VR guidance OR time (sign. Reduction in patients with VR) 29
Franz et al.: A novel approach to skull-base and orbital osteotomies through virtual planning and navigation (51) 2019

The Laryngoscope
Pilot study Skull base, orbit Positioning of osteotomy-lines in orbital surgery with intraoperative navigation 3D slicer, CT scan Optical navigation system StealthStation Treon cranial, (medtronic, Louisville, CO) CT scan, deviation of >3 mm 15
Wei et al.: The safety and accuracy of surgical navigation Technology in the treatment of lesions involving the skull base (52) 2017

Journal of Craniofacial Surgery
Cohort study Skull base (Oncology, TMJ) Safety of navigated surgery at the skull base CT, cbCT (0.2 mm) Navigation system (Accu-navigation; 1.0 mm accuracy) None 15
Dixon et al.: Augmented real-time navigation with critical structure proximity alerts for endoscopic skull base surgery (38) 2014

The Laryngoscope
Randomized Controlled Trial Endoscopic surgery, pituitary surgery Intraoperative usage of augmented reality CT scan Intraoperative usage of an alert in proximity to vital structures Cadaver dissection trial Fourteen cadaver specimen
Haq et al.: Single stage treatment of ankylosis of the temporomandibular joint using patient-specific

Total joint replacement and VSP (50)
2014

British Journal of Oral and Maxillofacial Surgery
Cohort study TMJ surgery Successful treatment of TMJ ankyloses with virtually planned individual TMJ implants CT scan, virtual planning (dolphin) Cutting guide Clinical evaluation 5
Haerle et al.: VSP in endoscopic skull base surgery (36) 2013

The Laryngoscope
Cohort study Skull base surgery (endoscopic) The value of VSP in skull base surgery MRI (2 mm);

Virtual (open source) vs. Conventional planning
Intraoperative navigation; StealthStation; med-tronic navigation, Louisville, CO None 12
Tang et al.: Preoperative surgical planning for intracranial meningioma resection by virtual reality 2012 Chinese Medical Journal Cohort Skull base CT, MRI, MRV

Virtual reality
10

Discussion

Computer aided surgery can be divided into three phases: 1) Virtual planning, 2) surgical execution, and 3) intraoperative verification (Figure 1). Each of these will be discussed below.

Figure 1: 
Computer aided surgical workflows generally involve three phases: Pre-surgical planning, surgical execution, and intra-operative verification.
Figure 1:

Computer aided surgical workflows generally involve three phases: Pre-surgical planning, surgical execution, and intra-operative verification.

Virtual planning

CT is a critical CAS modality because it clearly defines bony margins and tumor infiltration. It is the primary modality for virtual surgical planning, 3D printing, and surgical navigation [25, 26]. CT imaging can be divided into two major categories: Fan beam CT which are often called “medical CT scanners,” and cone beam CT which are often called “in office” CT scanners [27]. Both modalities can be used for CAS applications [28]. Their advantages and disadvantages are discussed below (see intraoperative verification). Magnetic resonance imaging (MRI) has superior soft tissue resolution when compared to CT. However, poor bony resolution has made planning, navigation, and 3D printing more challenging. However, the pediatric skull base literature has recently described expansion of MRI for fabrication of 3D models and cutting guides, using the negative “black bone” sequences [29], [30], [31]. Refinement of this technique could significantly reduce radiation exposure while generating the necessary information for CAS applications.

Virtual planning tools include 1) planning software, 2) virtual environments, and 3) 3D models. Each of these will be discussed below:

Virtual Planning software: Virtual planning software converts DICOM (“DICOM” – Digital Imaging and Communication in Medicine) data, the common language used by medical devices [30], to a propriety format that generates a 3D patient representation. Several examples include Mimics (Materialise – Leuven, Belgium), Elements (Brainlab – Berlin Germany), Invivo6 (Anatomage, Santa Clara, CA, USA), and Dolphin (Dolphin Imaging & Management Solutions – Chatsworth, USA). Alternatively, open source software is available, but surgeons need to consider the clinical implications when using “non-CE or FDA” approved software tools. Planning software provides a myriad of functions including soft tissue/bony segmentation (Figure 2), measurement tools (distances/angles/volumes), object mirroring, and fusion of data sets (overlap of two CT scans or MRI and CT).

Figure 2: 
Segmentation of an invasive squamous cell carcinoma (brown) of the left maxillary sinus and adjacent structures (red – maxilla, green – orbit, pink – zygomatic bone, purple – nasal bone and contralateral zygomatic bone).
Figure 2:

Segmentation of an invasive squamous cell carcinoma (brown) of the left maxillary sinus and adjacent structures (red – maxilla, green – orbit, pink – zygomatic bone, purple – nasal bone and contralateral zygomatic bone).

Planning may be performed using a surgeon-based model which requires the surgeon to purchase, learn, and independently utilize the software; or an industry-based model where surgeons and clinical engineers meet in an online setting, incurring only the time commitment to the surgeon. Cost recovery from industry in this second model varies and may include fee for service or incorporation of engineer fees into the cost of implant production. Once planning is complete, data can be exported in proprietary or non-proprietary formats for use in virtual environments (see augmented or virtual reality below), 3D printing, implant fabrication, as well as intraoperative navigation.

Virtual Environments: Virtual environments allow surgeons, trainees, as well as patients to visualize surgical anatomy in true 3-dimensional immersive space. These virtual environments can be described on a “reality spectrum” ranging between the “real environment” and a completely “virtual environment” (Figure 3). These tools can be divided into three basic types: virtual reality , augmented reality , and mixed reality . Virtual reality tools completely separate the surgeon from his surrounding environment (Figure 4). This provides the user an extremely crisp and accurate view, however it makes interaction with other users more challenging and can lead to motion sickness [32, 33]. Augmented reality tools overlay information (generally data) onto the physical environment (Figure 5). Mixed reality tools allow the user to visualize their environment, superimposing virtual objects into the environment that can be manipulated (Figure 6). Objects appear more translucent (when compared to virtual reality), however users can easily interact with their environment, other users, and potentially the surgical field at some point in the future [34, 35]. Some examples include Magic Leap One Mixed Reality Viewer (Brainlab – Berlin Germany), Immersive Touch (Zimmer-Biomet – Warsaw, USA), and Precision VR (Surgical Theater – Cleveland, USA). Some tools include planning software which can be utilized by the surgeon (Magic Leap and Immersive Touch) while others (Precision VR) require an engineer to perform the surgical planning.

Figure 3: 
Reality spectrum: 1) virtual reality completely separates the user from the real world 2) augmented reality overlays information (data) onto the physical environment, 3) mixed reality allows the users to see their environment and places objects that can be manipulated within that environment.
Figure 3:

Reality spectrum: 1) virtual reality completely separates the user from the real world 2) augmented reality overlays information (data) onto the physical environment, 3) mixed reality allows the users to see their environment and places objects that can be manipulated within that environment.

Figure 4: 
Virtual reality environments completely separate the user from their physical environment while allowing the user to manipulate virtual objects.
Figure 4:

Virtual reality environments completely separate the user from their physical environment while allowing the user to manipulate virtual objects.

Figure 5: 
Augmented reality overlays information (often data) onto the environment as shown in this “heads up display”.
Figure 5:

Augmented reality overlays information (often data) onto the environment as shown in this “heads up display”.

Figure 6: 
Mixed realith tools allow the user to visualize their environment, superimposing virtual objects into the environment that can be manipulated.
Figure 6:

Mixed realith tools allow the user to visualize their environment, superimposing virtual objects into the environment that can be manipulated.

3D Models: 3D printing allows the surgeon to fabricate physical objects that can be used for surgical planning and pre-surgical simulation. This may include osteotomies, bony advancements/setbacks, resections, as well as trajectory planning and patient specific hardware bending.

Literature Review

Bradley et al. 2019 – The authors evaluated the use of virtual reality applications for TMJ arthroplasty for congenital TMJ ankylosis. They compared two patients with traditional intraoperative CT based navigation to two patients treated using 3D VR guidance. They found no difference in complications or hospitalization times, but did report improved anatomic visualization and a statistically significant reduction in operative times (300 min for traditional CT navigation vs. 134 min with 3D VR guidance) [36].

Haerle et al. 2013 – The authors describe the use of VSP with 3D models in endoscopic anterior skull base surgery for sellar tumors: Using ITK-SNAP 2.2 (University of Pennsylvania, Philadelphia, PA) to create 3D reconstructions of the sellar tumors and surrounding critical structures from MRI data, they found significantly reduced surgeon workload (as measured by the NASA-TLX questionnaire) during VSP and anatomic segmentation when planning skull base surgery compared to standard planning for both experts and novices [37].

Surgical execution

Surgical execution tools allow the surgeon to perform surgical steps with improved accuracy and efficiency. Some examples include 3D Models, cutting/drill guides, surgical implants.

3D Models: Sterilization of 3D models for intraoperative use requires selection of materials that will withstand the autoclave process or selection of other low temperature sterilization processes such as Sterrad (Advanced Sterilization Products, Irvine, Ca, USA). Once sterilized, models can be used for intraoperative hardware bending (Figure 7), verification of anatomic landmarks, and resident education [18, 38].

Figure 7: 
3D model used for template bending in the preoperative setting.
Figure 7:

3D model used for template bending in the preoperative setting.

Cutting/Drill Guides: Intraoperative cutting and drill guides can be printed (or milled) for fibula free flap reconstruction (Figure 8), orthognathic surgery, and dental implants. Most cutting and drill guides are fabricated by industry with CE/FDA certification. They are very expensive, which has limited the total number of end users worldwide. Some institutions fabricate cutting and drill guides in house at a significantly reduced cost, however this incurs other potential costs including 3D printers/software, medicolegal risks, and surgeon time. Cutting and drill guides are particularly useful in planned (secondary) reconstructions, because there are clearly defined margins and the implant size is predictable. However, use in primary reconstruction is limited due to the unpredictablity of tumor resection margins.

Figure 8: 
3D printed cutting guide for mandible reconstruction.
Figure 8:

3D printed cutting guide for mandible reconstruction.

Surgical implants: The use of 3D printing and milling allows for fabrication of patient specific implants (PSI). Some examples include orbital (Figure 9), TMJ, mandible (Figure 10), and cranial reconstruction. Due to strict manufacturing guidelines, the need for long term structural stability, and medicolegal risk, industrial partners generally fabricate these implants and few if any hospitals are entering into this arena. Potential drawbacks, especially in large implants (Figure 9) are imaging artifacts and implant exposure after radiation therapy.

Figure 9: 
Commercially fabricated patient specific implant for orbito-midface reconstruction.
Figure 9:

Commercially fabricated patient specific implant for orbito-midface reconstruction.

Figure 10: 
Patient specific implant used to shape fibula in situ for mandibular reconstruction.
Figure 10:

Patient specific implant used to shape fibula in situ for mandibular reconstruction.

Literature Review

Dixon et al. 2014 – In a cadaveric study, subjects (ENT Surgeons and Neurosurgeons) performed endoscopic transclival skull base approaches. The surgical limits were the carotid artery laterally, dura posteriorly, pituitary fossa superiorly, and the level of the petrous carotid inferiorly. Using VSP software and a prototype navigation system, vital structures (orbit, carotid, and dura) were highlighted preoperatively. Auditory feedback provided a warning when the surgeon was within 2–3 mm of the highlighted structures. The authors demonstrated that mental demand, effort, and frustration (as measured by the NASA-TLX score) were significantly reduced when using the VSP based system compared to standard navigation [39].

Swendseid et al. 2020 – This retrospective cohort (n=23) study compared post oncologic scapular free flap midface reconstruction with and without the use of VSP. All 23 reconstructions used cutting guides. Fourteen procedures we performed without VSP and nine were performed with VSP. The authors demonstrated an improved reconstruction of subunits (98 vs. 78%), higher number of bone contact between bone segments (2.2 vs. 1.4 appositions), and higher percentage of segments placed in anatomic position (100 vs. 71%) in the VSP vs. non-VSP groups respectively [40].

Intraoperative verification

After completion of many maxillofacial reconstructive procedures, visualization of the entire repair is challenging (ex. Orbital reconstruction, complex mandible reconstruction, zygomaticomaxillary reconstruction, etc.). Intraoperative navigation and CT can be efficacious to verify the accuracy of the reconstruction [41].

Intra-operative navigation: DICOM as well as proprietary data can be imported into surgical navigation systems. Once the data is imported, accurate “registration” of the patient is critical. The surgeon must provide the navigation system with precise landmarks on the patient’s skin, bone, oral appliance, or rigidly fixated hardware. Ideally, anatomic landmarks should be non-coplanar and non-collinear, collecting a sphere of points with the area of greatest interest at the center. This will allow the navigation system to accurately localize the patient in space, with the area of greatest precision being the area of interest (i.e. tumor, injury, anatomic deformity). The accuracy of most navigation systems ranges from 1 to 2 mm [42]. Registration modalities include electromechanical, electromagnetic, and optical [42]. Optical registration has several advantages for skull base reconstruction including: (1) it allows for free mobility around the patient without wires and (2) the instruments have no metallic distortion which can result in inaccuracies with electromagnetic systems [22, 43].

Once patient registration is complete, navigated instruments can be used to localize patient anatomy in difficult to visualize areas. It should be noted that all anatomic information provided by intraoperative navigation is “inferred.” In other words, it is only as precise as the imported data and accuracy of the registration process. Therefore, the information that is provided to the surgeon should be used to confirm anatomic information, not to guide surgical dissection.

Another advantage of navigation in oncologic surgery is the ability to place virtual “markers” within the 3D data set to identify the resection margins [22]. This information can then be used in combination with final pathology and radiation therapy to determine the optimal strategy for post-operative radiotherapy treatment.

Intraoperative CT : Unlike intraoperative navigation, CT incurs radiation exposure. Both fan beam and cone beam CT offer excellent intra-operative visualization, providing “real time” view of patient anatomy. However, there are some important differences to consider. Fan beam scanners provide excellent bone/soft tissue resolution and can be utilized with intravascular contrast material. However, they are much more expensive and incur a significantly higher radiation dose. Cone beam scanners have lower radiation dose, adequate bony detail, narrow slice thickness, and can be purchase for a much lower cost [27].

Literature Review

Lee et al. 2012 – In this comparative cadaver study, the authors used an intraoperative C-arm to quantify surgical performance in anterior skull base surgery. They found significant improvement in point identification and line tracking tasks as well as improved accuracy of resection when using the intra-operative CBCT. Interestingly they demonstrated that in unguided cases (absence of intra-op CBCT), 35% of surgeons would have performed re-resection of residual tissue if they had not had access to Intraoperative CT [44].

Novak et al. 2021 – This retrospective cohort study compared the accuracy of neuronavigation with preoperative imaging (CT & MRI), to neuronavigation using Intraoperative CT. They found significant improvement in accuracy when using Intraop CT as a basis for registration (mean error of accuracy 0 mm compared to 2.65 mm in pre-operative imaging data) [45]. They argue that intra-operative CT maintains excellent accuracy with lower radiation dose than traditional CT and no notable extension of surgical time.

Conclusions

Computer aided surgery has three phases: 1) virtual planning , 2) surgical execution , and 3) intraoperative verification . There is emerging data to show that these computer aided tools (presurgical planning software, augmented and virutal reality headsets, 3D printers, surgical navigation, and intraoperative imaging) improve surgical accuracy and clinical outcomes. Unfortunately, larger prospective studies are limited. As these applications continue to gain traction, the authors are confident that the surgical efficacy of these tools will continue to be validated.


Corresponding author: E. Bradley Strong, Department of Otolaryngology, University of California Davis, School of Medicine, Sacramento, CA 95817, USA, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Financial Disclosure Statement: Two authors (E. B. Strong, A. K. Bartella) serve as consultants for Brainlab. However, no funding was received for this article. No grants were received. And the article was not influenced by their work for Brainlab.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The local Institutional Review Board deemed the study exempt from review.

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Supplementary Material

The online version of this article offers reviewer assessments as supplementary material (https://doi.org/10.1515/iss-2021-0020).


Received: 2021-04-28
Accepted: 2022-03-03
Published Online: 2022-06-30

© 2022 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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