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DOI: 10.1055/s-0042-1755578
Generating Operative Workflows for Vestibular Schwannoma Resection: A Two-Stage Delphi's Consensus in Collaboration with the British Skull Base Society. Part 2: The Translabyrinthine Approach
- Abstract
- Introduction
- Methods
- Results
- Discussion
- Strengths and Limitations
- Conclusion
- References
Abstract
Objective An operative workflow systematically compartmentalizes operations into hierarchal components of phases, steps, instrument, technique errors, and event errors. Operative workflow provides a foundation for education, training, and understanding of surgical variation. In this Part 2, we present a codified operative workflow for the translabyrinthine approach to vestibular schwannoma resection.
Methods A mixed-method consensus process of literature review, small-group Delphi's consensus, followed by a national Delphi's consensus was performed in collaboration with British Skull Base Society (BSBS). Each Delphi's round was repeated until data saturation and over 90% consensus was reached.
Results Seventeen consultant skull base surgeons (nine neurosurgeons and eight ENT [ear, nose, and throat]) with median of 13.9 years of experience (interquartile range: 18.1 years) of independent practice participated. There was a 100% response rate across both the Delphi rounds. The translabyrinthine approach had the following five phases and 57 unique steps: Phase 1, approach and exposure; Phase 2, mastoidectomy; Phase 3, internal auditory canal and dural opening; Phase 4, tumor debulking and excision; and Phase 5, closure.
Conclusion We present Part 2 of a national, multicenter, consensus-derived, codified operative workflow for the translabyrinthine approach to vestibular schwannomas. The five phases contain the operative, steps, instruments, technique errors, and event errors. The codified translabyrinthine approach presented in this manuscript can serve as foundational research for future work, such as the application of artificial intelligence to vestibular schwannoma resection and comparative surgical research.
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Keywords
retrosigmoid - translabyrinthine - vestibular schwannoma - skull base surgery - consensus - DelphiIntroduction
In Part 1 of this series we generated, through expert Delphi's consensus, a codified operative workflow for the retrosigmoid approach to vestibular schwannoma[1]. An operative workflow systematically deconstruct complex procedures into defined tasks and errors.[2] [3] The surgical procedure is broken down into phases which contain a series of steps, generating the operative workflow.[3] Existing literature has demonstrated subject experts generating comprehensive and standardized operative workflows.[4] [5] [6] [7] Practical benefits of consensus-driven operative workflows include: (1) workflow analysis; (2) training; (3) creation of high-fidelity simulation models; (4) objective assessment of procedure-specific surgical skills; (5) evaluation of novel technologies or techniques; (6) operating room efficiency improvements.[3] [5] [8] [9]
There remains variability between surgeons and centers on how to perform the translabyrinthine approach to resect vestibular schwannoma, including surgeon preference or tumor location and characteristics, all of which can result in different operative outcomes.[10] [11] [12]
In Part 2, we herein present an operative workflow for translabyrinthine approach for vestibular schwannoma, through an expert consensus process in collaboration with the British Skull Base Society (BSBS). This operative workflow aimed to digitize the approaches and provide foundational research in which to build, for example, the application of artificial intelligence to vestibular schwannoma resection.
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Methods
Overview
The methodology was drawn from previous work from our group and was completed in parallel to the retrosigmoid operative workflow generation[1] [6]. This process aimed to generate a comprehensive workflow framework which captured how each approach could reasonably be performed. We did not aim to dictate how an operation should be done. The beginning of the operation was taken as the first incision, adhering to the American College of Surgeon's definition of surgery, “structurally altering the human body by the incision or destruction of tissues.”[13] Therefore, variation relating to position of the patient and incision analysis was not within the scope of this work, although the authors recognize that positioning plays a critical role for any given procedure. The components for workflow analysis and associated definitions are listed in [Table 1]. Expert input will be derived through an iterative, mixed-methods consensus process ([Fig. 1]).
Domain |
Definition |
Example |
---|---|---|
Phase |
A major event occurring during a surgical procedure, composed of several steps[7] |
Approach and exposure, encompassing the beginning of surgery until tumor debulking |
Step |
A sequence of activities used to achieve a surgical objective[24] |
Seal mastoid air cells |
Instrument |
A tool or device for performing specific actions (such as cutting, dissecting, grasping, holding, retracting, or suturing) during a surgical step |
Bone wax |
Technical error |
Lapses in operative technique while performing a surgical step[25] |
Failure to seal mastoid air cells |
Adverse event |
An intraoperative event which is a result of a technical error and has the potential to lead to a postoperative adverse outcome/complication[25] |
Cerebrospinal fluid rhinorrhea |
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Modified Delphi's Process and Sampling
Literature Review
We performed a literature review of Greenberg's Handbook of Neurosurgery, Youmans and Winn Neurological Surgery, and Operative Cranial Neurosurgical Anatomy, and undertook a PubMed and EMBASE search using the keywords “retrosigmoid,” “translabyrinthine,” and “vestibular schwannoma resection”[10] [14] [15] [16] [17] [18] ([Fig. 1]).
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Delphi's Round 1
The initial literature-based operative workflow was reviewed by a group of five consultant skull base surgeons including neurosurgery and ear nose and throat (ENT), based at the National Hospital for Neurology and Neurosurgery, London, United Kingdom. Each consultant surgeon reviewed the operative workflow individually, via computerized document with the definitions of phases, steps, instruments, technical errors, and adverse events as above ([Table 1]). Each expert was asked a series of questions via e-mail, seeking to assess the completeness and accuracy of the workflow ([Supplementary Material A], available in the online version).[7] Any additional suggestions were reviewed and added to the workflow matrix if in scope and not duplicate. According to the Delphi technique, circulation and iterative revision of the workflow was repeated until data saturation was achieved, that is, all experts were satisfied that the operative workflow was complete and accurate.[7]
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Delphi's Round 2
The refined workflow was circulated nationally with skull base surgeons (neurosurgeons and ENT) who were members of the BSBS,[19] the United Kingdom and Ireland's society primarily focused on skull base pathology. The entirety of the BSBS was invited to participate via e-mail. All contributing authors are specialist lateral skull base surgeons with an independent surgical practice in vestibular schwannoma surgery who are members of the BSBS (either neurosurgery or ENT). Consultant surgeon members from the BSBS were asked to assess the workflow and suggest any amendments to encompass possible variation in practice and technique. Additional suggestions were reviewed and added to the workflow if (1) in scope and (2) not duplicate.[7] Round 2 was completed until all surgeons agreed that the workflow captured the operative practice and that there were no additional suggestions for the workflow from the participant group. Both the retrosigmoid and translabyrinthine approaches were completed in parallel: surgeons within the BSBS were given the opportunity to contribute to either approach depending on their personal clinical practice and expertise. Experience for all authors was calculated from the date they were added to the General Medical Council's Specialist Register, a list of doctors who have completed their postgraduate training and eligible to work as a consultant.[20]
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Administration
Invitations to participate in the Delphi process were sent via direct e-mail only. Workflow documents were presented using Microsoft Word (Version 16.4, Microsoft, United States) in both rounds and supported by Google Forms in Round 2 (Google LLC, United States).
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Data Collection and Analysis
Participant demographics collected included surgical specialty and unit. The collected data regarding the surgical workflow were quantitative (whether participants agree that it is complete and accurate) and qualitative (additional suggestions or comments).[7] Summary statistics (frequencies) were generated for participants demographics. Content analysis was used to analyze free-text responses: to remove out-of-scope suggestions, group similar suggestions together, and compare them to existing data points in the workflow. Data analysis and workflow updates were performed in duplicate by two independent analyzers (H.L.H. and P.G.).
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Ethics
This study is independent of national health services and does not require ethical approval interrogated via online Health Research Authority decision tool ([Supplementary Material B], available in the online version).[7] [21]
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Results
Participants
The Delphi Round 1 was completed by a group of five consultant skull base surgeons. Two neurosurgeons at the National Hospital for Neurology and Neurosurgery, London, United Kingdom, and three ENT surgeons at the Royal National Throat, Nose and Ear Hospital, London, United Kingdom. Cumulatively, they had a median of 12.3 years and interquartile range (IQR) of 16.0 years of experience (IQR: 1 9.6 years; IQR: 25.5 years). The Delphi Round 1 was repeated four times during a 4-month period (October 2020–February 2021) until saturation.
The Delphi Round 2 was completed by nine neurosurgeons and eight ENT surgeons based at 10 centers across the United Kingdom. All contributing authors are specialist lateral skull base surgeons with an independent surgical practice in vestibular schwannoma surgery who are members of the BSBS (either neurosurgery or ENT). Cumulatively, they had a median of 13.9 years and IQR of 18.1 years of experience (IQR: 1 7.5 years; IQR: 3 25.5 years). Round 2 was repeated twice during a 3-month period (May–July 2021) until saturation. There was a 100% response rate and no attrition across both the Delphi Rounds.
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Translabyrinthine Approach
Five distinct phases were delineated as follows: (1) approach and exposure, (2) mastoidectomy, (3) internal auditory canal and dural opening, (4) tumor debulking and excision, and (5) closure. As with the retrosigmoid approach, the preoperative set-up and postoperative protocols were recognized as important, but not within the scope of this study.
Phase 1: Approach and Exposure
This phase consisted of four steps, beginning with the postaural curvilinear incision to expose the mastoid bone ([Table 2]).
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Phase 2: Mastoidectomy
This phase consisted of 13 steps, starting with an extended cortical mastoidectomy to give lateral petrous dissection, systematic three canal osseous labyrinthectomy, and completion of the labyrinthectomy ([Table 3]).
Abbreviations: CN, cranial nerve; CSF, cerebrospinal fluid; IAC, internal auditory canal.
Note: We appreciate the exact order of the following steps will be surgeon and tumor characteristic dependent.
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Phase 3: Internal Auditory Canal and Dural Opening
This phase consisted of 13 steps, from developing the inferior dissection by drilling out the retrofacial air cells to completion of dural dissection superiorly and inferiorly ([Table 4]). The petrosal vein may be encountered superiorly. Consensus dictated that the petrosal vein may be coagulated and divided only if absolutely necessary to reduce the risk of venous infarct.
Abbreviations: CSF, cerebrospinal fluid; IAC, internal auditory canal; SCA, superior cerebellar artery.
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Phase 4: Tumor Debulking and Excision
This phase consisted of 18 steps and begins with attempted identification of the facial nerve ([Table 5]). Similar to the retrosigmoid approach, this phase describes the stepwise debulking of the tumor at the superior and inferior poles, with lateral–medial and medial–lateral dissection, and culminating in stepwise rolling and debulking of the tumor. Surgeon preference, intraoperative findings, and tumor characteristics define the exact order of the constituent steps within this phase. Further, depending on the patient's clinical history and presentation, a cochlear implant may be considered.
Abbreviations: AICA, anterior inferior cerebellar artery; CN, cranial nerve; CPA, cerebellopontine angle; DNAP, dorsal cochlear nucleus action potential; FREMAP, Facial nerve root exit zone–elicited compound muscle action potential; IAM, internal auditory meatus; IQR, interquartile range; PICA, posterior inferior cerebellar artery; SCA, superior cerebellar artery.
Note: We appreciate the exact order of the following steps will be surgeon and tumor characteristic dependent.
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Phase 5: Closure
This phase consisted of 11 steps ([Table 6]), encompassing hemostasis, packing of the Eustachian tube and middle ear, and multilayer closure of the wound. There was variability in the substance to pack the Eustachian tube with (bone wax, muscle, periosteum, and dural substitute) and the location for harvesting a tissue graft (abdomen, leg, and fascia lata).
Abbreviations: CN, cranial nerve; CPA, cerebellopontine angle; CSF, cerebrospinal fluid.
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Discussion
Principal Findings
We present Part 2 of a series that generated a consensus-derived codified operative workflow for the translabyrinthine approach to vestibular schwannoma. Each workflow considers the phases, steps, technique errors, and event errors of the operation. The operative workflow was achieved through national collaboration with the BSBS following an open invitation to all members to participate. This comprised 17 independently practicing neurosurgeons and ENT surgeons from 11 centers across the United Kingdom.
The translabyrinthine approach operative workflow comprises the following five distinct phases with a total of 59 individual steps: (1) approach and exposure, (2) mastoidectomy, (3) internal auditory canal and dural opening, (4) tumor debulking and excision, and (5) closure. The translabyrinthine approach contains two more phases and 19 more steps than the retrosigmoid approach.[1]
The codified operative workflow for the translabyrinthine approach provides an illustrative example of how surgical procedures can be deconstructed. The presented workflow is foundational research for future work exploring the application of artificial intelligence to surgery or comparative surgical research which may unlock a new phase in surgical training and technical improvement.
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Operative Workflows to Facilitate Comparative Surgical Research
There is little high-quality evidence comparing both surgical and nonsurgical factors at reducing morbidity in vestibular schwannoma surgery. Bartek et al[22] presented a national, short-term (30 days) surgical outcome registry, focusing on tumor size and patient age. This example does not consider granular technical nuance, such as the use of bone cement or bone wax when sealing the mastoid air cells. Selleck et al[23] presented a single-center retrospective cohort evaluating the use of mesh cranioplasty versus periosteal closure at mitigating cerebrospinal fluid leaks. Although a granular question, it is low-quality evidence and the findings have not been generalized. Therefore, a systematic operative workflow can provide the framework to ask which specific techniques may result in improved outcomes.
The morbidity and mortality associated with vestibular schwannoma resection has decreased in modern practice from the early pioneers.[24] [25] [26] Despite advances in practice and improving mortality rates, the morbidity remains high for these common tumors[27] which can significantly impair a patient's quality of life. For a complex procedure, practiced by experienced surgeons, any small incremental improvement in technique may result in improved outcomes. As such, the workflows in the present study provide an objective consensus in the current variability within practice and a foundation in which to develop further research questions. For example, for each variation in technique outlined within our workflows, we could further explore how many surgeons perform which technique and correlate this with outcomes. This could drive a national or international audit process to provide guidance on how the operation should be performed in the future. The operative workflow could also assist in the generation of performance metrics for each procedure.
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Computer Vision and Operative Workflows
The parcellation of operative videos can be achieved through computer vision, an artificial intelligence-driven algorithm that automatically detects the phase and step of an operation.[28] The principal limitation to workflow analysis is the labor-intensive labeling and segmentation of operations into constituent phases, steps, and errors; however, this process can be automated (or semiautomated), using machine learning techniques.[28] [29] [30] The effectiveness of such automation is dependent on the generation of a codified, comprehensive operative workflow to train deep neural networks to recognize the phases, steps, instruments, and errors of an operation.[7] Our group has previously demonstrated that a machine learning algorithm can accurately and autonomously identify the various phases and steps of an endoscopic transsphenoidal resection of pituitary adenomas.[7] If a machine learning algorithm can identify the correct phase and step of a vestibular schwannoma resection and compare multiple operative videos against outcomes, it might identify subtleties within technique that could improve functional outcomes or reduce surgical complications. It might also permit the ability to separate between essential and nonessential steps or highlight specific steps that are with high risk during an operation. It is unclear presently if machine learning will be able to identify the phases and steps of a vestibular schwannoma resection accurately and autonomously, due to heterogeneity between technique and order of phases. We plan to use this workflow to test this hypothesis in future work.
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Strengths and Limitations
This is the first expert, consensus-derived operative workflow for the translabyrinthine approach. Our methodology follows precedence within in the literature. Further, both operative workflows are presented with concordant nomenclature, and share homogenous descriptions of the steps, instruments, and errors if appropriate. This will allow greater transparency and comparison between approaches, and indeed further scope to develop the workflows in the future. However, our methodology did not deconstruct which phase and steps were performed by neurosurgeons and ENT surgeons, nor did we include the use of endoscopy, for example, endoscopic exploration of the internal acoustic canal to identify potential mastoid cells opening before closure. This is likely different in each center based on local expertise. This will require consideration when trying to evaluate outcomes in future work.
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Conclusion
We present Part 2 of a national, multicenter, consensus-derived codified operative workflow for the translabyrinthine approach to vestibular schwannomas. The five phases contain the operative steps, instruments, technique errors, and event errors. The codified translabyrinthine approach presented in this manuscript can serve as foundational research for future work, such as the application of artificial intelligence to vestibular schwannoma resection and comparative surgical research.
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Conflict of Interest
J.C. receives research grants and consultancy fees from Medtronic (Dublin, Ireland). J.C. is the associate medical director of CMR surgical (Cambridge, United Kingdom). D.S. is a shareholder in Odin Vision Ltd (London, United Kingdom) and is an employee of Digital Surgery (London, United Kingdom). H.L.H., H.J.M., C.H.K., and W.M. are supported by the Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London. D.Z.K. is supported by an National Institute for Health and Care Research (NIHR) Academic Clinical Fellowship. H.J.M. is also funded by the NIHR Biomedical Research Centre at University College London.
All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers' bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or nonfinancial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Previous Presentations
This work has not been presented, either partly or wholly.
Authors' Contributions
Study conception and methodology was led by H.J.M., J.C., M.F., M.G., D.Z.K., C.H.K., H.L.H. and W.M. Material preparation, data collection and analysis were performed by H.L.H., D.Z.K., J.C., S.C., S.R.F., N.G., S.H., C.H., R.I., N.K., A.K., S.K., C.H.K., C.L., H.J.M., W.M., R.O., O.P., I.J.A.R., J.S., D.S., M.T., J.R.T., S.R.S., and P.G. contributed to data collection. The first draft of the manuscript was written by H.L.H., H.J.M., and P.G. All authors reviewed and edited subsequent versions of the manuscript. All authors read and approved the final manuscript.
Ethical and Informed Consent
Ethical approval and informed consent were unnecessary due to the nature of the study (consensus process amongst health care professionals).
Data Availability
Available upon reasonable request.
* Denotes joint senior authorship.
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References
- 1 Layard HorsfallH, Khan DZ, Collins J. et al. Generating operative workflows for vestibular schwannoma resection: a two-stage Delphi consensus in collaboration with British Skull Base Society. Part 1: the retrosigmoid approach. J Neurol Surg B Skull Base 2023; 84 (05) 423-432
- 2 Lalys F, Jannin P. Surgical process modelling: a review. Int J CARS 2014; 9 (03) 495-511
- 3 Sarker SK, Chang A, Albrani T, Vincent C. Constructing hierarchical task analysis in surgery. Surg Endosc 2008; 22 (01) 107-111
- 4 Okoli C, Pawlowski SD. The Delphi method as a research tool: an example, design considerations and applications. Inf Manage 2004; 42: 15-29
- 5 Dijkstra FA, Bosker RJI, Veeger NJGM, van Det MJ, Pierie JPEN. Procedural key steps in laparoscopic colorectal surgery, consensus through Delphi methodology. Surg Endosc 2015; 29 (09) 2620-2627
- 6 Dharamsi A, Gray S, Hicks C, Sherbino J, McGowan M, Petrosoniak A. Bougie-assisted cricothyroidotomy: Delphi-derived essential steps for the novice learner. CJEM 2019; 21 (02) 283-290
- 7 Marcus HJ, Khan DZ, Borg A. et al. Pituitary society expert Delphi consensus: operative workflow in endoscopic transsphenoidal pituitary adenoma resection. Pituitary 2021; 24 (06) 839-853
- 8 Strauss G, Fischer M, Meixensberger J. et al. Workflow analysis to assess the efficiency of intraoperative technology using the example of functional endoscopic sinus surgery [in German]. HNO 2006; 54 (07) 528-535
- 9 Krauss A, Muensterer OJ, Neumuth T. et al. Workflow analysis of laparoscopic Nissen fundoplication in infant pigs- a model for surgical feedback and training. J Laparoendosc Adv Surg Tech A 2009; 19 (Suppl. 01) S117-S122
- 10 Chamoun R, MacDonald J, Shelton C, Couldwell WT. Surgical approaches for resection of vestibular schwannomas: translabyrinthine, retrosigmoid, and middle fossa approaches. Neurosurg Focus 2012; 33 (03) E9
- 11 Ansari SF, Terry C, Cohen-Gadol AA. Surgery for vestibular schwannomas: a systematic review of complications by approach. Neurosurg Focus 2012; 33 (03) E14
- 12 Gharabaghi A, Samii A, Koerbel A, Rosahl SK, Tatagiba M, Samii M. Preservation of function in vestibular schwannoma surgery. Neurosurgery 2007; 60(02, Suppl 01):ONS124–ONS127, discussion ONS127–ONS128
- 13 Grill C. State of the states: defining surgery. Accessed July 13, 2022 at: https://bulletin.facs.org/2012/05/state-of-the-states-defining-surgery/
- 14 Lin EP, Crane BT. The management and imaging of vestibular schwannomas. AJNR Am J Neuroradiol 2017; 38 (11) 2034-2043
- 15 Silk PS, Lane JI, Driscoll CL. Surgical approaches to vestibular schwannomas: what the radiologist needs to know. Radiographics 2009; 29 (07) 1955-1970
- 16 Greenberg M. Handbook of Neurosurgery. New York, NY: Thieme Medical Publishers; 2019
- 17 Winn H. Youmans and Winn Neurological Surgery. Philadelphia, PA: Elsevier; 2016
- 18 Gagliardi F, Gragnaniello G, Mortini P, Caputy A. Operative Cranial Neurosurgical Anatomy. New York, NY: Thieme Medical Publishers; 2019
- 19 The British Skull Base Society. The UK's society for clinicians involved in the care of patients with skull base pathology. Accessed July 14, 2022 at: https://skullbase.co.uk/
- 20 General Medical Council. The specialist register. Accessed July 14, 2022 at:. https://www.gmc-uk.org/registration-and-licensing/the-medical-register/a-guide-to-the-medical-register/specialist-registration
- 21 Is my study research?. Accessed July 14, 2022 at: http://www.hra-decisiontools.org.uk/research/
- 22 Bartek Jr J, Förander P, Thurin E. et al. Short-term surgical outcome for vestibular schwannoma in sweden: a nation-wide registry study. Front Neurol 2019; 10: 43
- 23 Selleck AM, Hodge SE, Brown KD. Cerebrospinal fluid leak following translabyrinthine vestibular schwannoma surgery-is mesh cranioplasty necessary for prevention?. Otol Neurotol 2021; 42 (05) e593-e597
- 24 Machinis TG, Fountas KN, Dimopoulos V, Robinson JS. History of acoustic neurinoma surgery. Neurosurg Focus 2005; 18 (04) e9
- 25 Koerbel A, Gharabaghi A, Safavi-Abbasi S, Tatagiba M, Samii M. Evolution of vestibular schwannoma surgery: the long journey to current success. Neurosurg Focus 2005; 18 (04) e10
- 26 Akard W, Tubbs RS, Seymour ZA, Hitselberger WE, Cohen-Gadol AA. Evolution of techniques for the resection of vestibular schwannomas: from saving life to saving function. J Neurosurg 2009; 110 (04) 642-647
- 27 Blakeley JO, Evans DG, Adler J. et al. Consensus recommendations for current treatments and accelerating clinical trials for patients with neurofibromatosis type 2. Am J Med Genet A 2012; 158A (01) 24-41
- 28 Zisimopoulos O, Flouty E, Luengo I. et al. DeepPhase: surgical phase recognition in CATARACTS videos. Accessed July 14, 2022 at: https://discovery.ucl.ac.uk/id/eprint/10060022/
- 29 Twinanda AP, Shehata S, Mutter D, Marescaux J, de Mathelin M, Padoy N. EndoNet: a deep architecture for recognition tasks on laparoscopic videos. IEEE Trans Med Imaging 2017; 36 (01) 86-97
- 30 Lecuyer G, Ragot M, Martin N, Launay L, Jannin P. Assisted phase and step annotation for surgical videos. Int J CARS 2020; 15 (04) 673-680
Address for correspondence
Publication History
Received: 03 March 2022
Accepted: 20 June 2022
Article published online:
10 October 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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References
- 1 Layard HorsfallH, Khan DZ, Collins J. et al. Generating operative workflows for vestibular schwannoma resection: a two-stage Delphi consensus in collaboration with British Skull Base Society. Part 1: the retrosigmoid approach. J Neurol Surg B Skull Base 2023; 84 (05) 423-432
- 2 Lalys F, Jannin P. Surgical process modelling: a review. Int J CARS 2014; 9 (03) 495-511
- 3 Sarker SK, Chang A, Albrani T, Vincent C. Constructing hierarchical task analysis in surgery. Surg Endosc 2008; 22 (01) 107-111
- 4 Okoli C, Pawlowski SD. The Delphi method as a research tool: an example, design considerations and applications. Inf Manage 2004; 42: 15-29
- 5 Dijkstra FA, Bosker RJI, Veeger NJGM, van Det MJ, Pierie JPEN. Procedural key steps in laparoscopic colorectal surgery, consensus through Delphi methodology. Surg Endosc 2015; 29 (09) 2620-2627
- 6 Dharamsi A, Gray S, Hicks C, Sherbino J, McGowan M, Petrosoniak A. Bougie-assisted cricothyroidotomy: Delphi-derived essential steps for the novice learner. CJEM 2019; 21 (02) 283-290
- 7 Marcus HJ, Khan DZ, Borg A. et al. Pituitary society expert Delphi consensus: operative workflow in endoscopic transsphenoidal pituitary adenoma resection. Pituitary 2021; 24 (06) 839-853
- 8 Strauss G, Fischer M, Meixensberger J. et al. Workflow analysis to assess the efficiency of intraoperative technology using the example of functional endoscopic sinus surgery [in German]. HNO 2006; 54 (07) 528-535
- 9 Krauss A, Muensterer OJ, Neumuth T. et al. Workflow analysis of laparoscopic Nissen fundoplication in infant pigs- a model for surgical feedback and training. J Laparoendosc Adv Surg Tech A 2009; 19 (Suppl. 01) S117-S122
- 10 Chamoun R, MacDonald J, Shelton C, Couldwell WT. Surgical approaches for resection of vestibular schwannomas: translabyrinthine, retrosigmoid, and middle fossa approaches. Neurosurg Focus 2012; 33 (03) E9
- 11 Ansari SF, Terry C, Cohen-Gadol AA. Surgery for vestibular schwannomas: a systematic review of complications by approach. Neurosurg Focus 2012; 33 (03) E14
- 12 Gharabaghi A, Samii A, Koerbel A, Rosahl SK, Tatagiba M, Samii M. Preservation of function in vestibular schwannoma surgery. Neurosurgery 2007; 60(02, Suppl 01):ONS124–ONS127, discussion ONS127–ONS128
- 13 Grill C. State of the states: defining surgery. Accessed July 13, 2022 at: https://bulletin.facs.org/2012/05/state-of-the-states-defining-surgery/
- 14 Lin EP, Crane BT. The management and imaging of vestibular schwannomas. AJNR Am J Neuroradiol 2017; 38 (11) 2034-2043
- 15 Silk PS, Lane JI, Driscoll CL. Surgical approaches to vestibular schwannomas: what the radiologist needs to know. Radiographics 2009; 29 (07) 1955-1970
- 16 Greenberg M. Handbook of Neurosurgery. New York, NY: Thieme Medical Publishers; 2019
- 17 Winn H. Youmans and Winn Neurological Surgery. Philadelphia, PA: Elsevier; 2016
- 18 Gagliardi F, Gragnaniello G, Mortini P, Caputy A. Operative Cranial Neurosurgical Anatomy. New York, NY: Thieme Medical Publishers; 2019
- 19 The British Skull Base Society. The UK's society for clinicians involved in the care of patients with skull base pathology. Accessed July 14, 2022 at: https://skullbase.co.uk/
- 20 General Medical Council. The specialist register. Accessed July 14, 2022 at:. https://www.gmc-uk.org/registration-and-licensing/the-medical-register/a-guide-to-the-medical-register/specialist-registration
- 21 Is my study research?. Accessed July 14, 2022 at: http://www.hra-decisiontools.org.uk/research/
- 22 Bartek Jr J, Förander P, Thurin E. et al. Short-term surgical outcome for vestibular schwannoma in sweden: a nation-wide registry study. Front Neurol 2019; 10: 43
- 23 Selleck AM, Hodge SE, Brown KD. Cerebrospinal fluid leak following translabyrinthine vestibular schwannoma surgery-is mesh cranioplasty necessary for prevention?. Otol Neurotol 2021; 42 (05) e593-e597
- 24 Machinis TG, Fountas KN, Dimopoulos V, Robinson JS. History of acoustic neurinoma surgery. Neurosurg Focus 2005; 18 (04) e9
- 25 Koerbel A, Gharabaghi A, Safavi-Abbasi S, Tatagiba M, Samii M. Evolution of vestibular schwannoma surgery: the long journey to current success. Neurosurg Focus 2005; 18 (04) e10
- 26 Akard W, Tubbs RS, Seymour ZA, Hitselberger WE, Cohen-Gadol AA. Evolution of techniques for the resection of vestibular schwannomas: from saving life to saving function. J Neurosurg 2009; 110 (04) 642-647
- 27 Blakeley JO, Evans DG, Adler J. et al. Consensus recommendations for current treatments and accelerating clinical trials for patients with neurofibromatosis type 2. Am J Med Genet A 2012; 158A (01) 24-41
- 28 Zisimopoulos O, Flouty E, Luengo I. et al. DeepPhase: surgical phase recognition in CATARACTS videos. Accessed July 14, 2022 at: https://discovery.ucl.ac.uk/id/eprint/10060022/
- 29 Twinanda AP, Shehata S, Mutter D, Marescaux J, de Mathelin M, Padoy N. EndoNet: a deep architecture for recognition tasks on laparoscopic videos. IEEE Trans Med Imaging 2017; 36 (01) 86-97
- 30 Lecuyer G, Ragot M, Martin N, Launay L, Jannin P. Assisted phase and step annotation for surgical videos. Int J CARS 2020; 15 (04) 673-680