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Examining the utility of a photorealistic virtual ear in otologic education

Journal of Otolaryngology - Head & Neck Surgery volume 52, Article number: 18 (2023) Cite this article

Abstract

Background

Otolaryngology–head and neck surgical (OHNS) trainees’ operating exposure is supplemented by a combination of didactic teaching, textbook reading, and cadaveric dissections. Conventional teaching, however, may not adequately equip trainees with an understanding of complex visuospatial relationships of the middle ear. Both face and content validation were assessed of a novel three-dimensional (3D) photorealistic virtual ear simulation tool underwent face and content validation as an educational tool for OHNS trainees.

Methods

A three-dimensional mesh reconstruction of open access imaging was generated using geometric modeling, which underwent global illumination, subsurface scattering, and texturing to create photorealistic virtual reality (VR) ear models were created from open access imaging and comiled into a educational platform. This was compiled into an educational VR platform which was explored to validate the face and content validity questionnaires in a prospective manner. OHNS post-graduate trainees were recruited from University of Toronto and University of Calgary OHNS programs. Participation was on a voluntary basis.

Results

Total of 23 OHNS post-graduate trainees from the two universities were included in this study. The mean comfort level of otologic anatomy was rated 4.8 (± 2.2) out of 10. Senior residents possessed more otologic surgical experience (P < 0.001) and higher average comfort when compared to junior residents [6.7 (± 0.7) vs. 3.6 (± 1.9); P = 0.001]. Face and content validities were achieved in all respective domains with no significant difference between the two groups. Overall, respondents believed OtoVIS was a useful tool to learn otologic anatomy with a median score of 10.0 (8.3–10.0) and strongly agreed that OtoVIS should be added to OHNS training with a score of 10.0 (9.3–10.0).

Conclusions

OtoVIS achieved both face and content validity as a photorealistic VR otologic simulator for teaching otologic anatomy in the postgraduate setting. As an immersive learning tool, it may supplement trainees’ understanding and residents endorsed its use.

Graphical Abstract

Background

Middle ear anatomy is complex and a fundamental understanding of its visuospatial relationships is imperative for performing middle ear procedures [1]. Compounded by the need for microscopic or endoscopic magnification, the middle ear cleft is not easily accessible nor easily studied in the cadaveric setting [1]. Given these challenges, educational tools including paper models to three-dimensional computer models have been explored for middle ear teaching [2, 3]; however, shortcomings of the existing technologies include lack of a realistic appearance, including the retro- and hypotympanic spaces, which are poorly understood [1, 4].

With more affordable computing power and advancements in virtual reality (VR) technology, the surgical training landscape is experiencing significant changes to fill the gaps in anatomical knowledge [5,6,7,8,9]; furthermore, commercially-available devices, such as the Oculus (Facebook Technologies LLC., Menlo Park, CA) VR headsets, have made it possible for trainees to engage in VR surgeries anywhere and anytime [10]. As such, VR training has garnered significant interest in otologic surgery involving the middle ear and temporal bone for numerous reasons [11]. From complex anatomy to the high degree of inter-patient variability, otologic anatomical conceptualization is challenging for many novice surgeons. Additionally, narrowed access into the middle ear via the external auditory canal further limits middle ear visibility in non-endoscopic surgeries. Although various otologic VR programs exist [11,12,13,14,15], the widespread use of computerized tomography (CT) datasets reduces visual realism of soft tissue and bone [16]. There continues to be a paucity in the Otolaryngology–Head & Neck Surgery (OHNS) programs of a full immersive experience using a head-mounted display [17]. The void of highly realistic and immersive outer and middle ear simulators makes it difficult to conceptualize current available VR models into real-life practice (Fig. 1).

Fig. 1
figure 1

Existing ear simulators. Image adapted from Batista [19]. A Adams et al. [36]; B Hendricks et al. [34]; C Wijewickrema et al. [35]; D Samra et al. [33]; E Ng et al. [32]; F Lee et al. [42]; G Nicholson et al. [41]; H Dai et al. [43]; I Folowosele et al. [40]; J Rodt et al. [39]; K Neri et al. [38]; L Seemann et al. [37]

Full size image

This study aimed to bridge the gap between VR and realistic anatomy to improve the existing VR educational tools available in OHNS programs. Photorealistic digital artistry was employed to create an immersive and realistic environment of the external and middle ears to illustrate the complex three-dimensional area of the body. This was then compiled into a VR educational tool for OHNS trainees whereby face and content validity were assessed [18]. In OtoVIS’ context, face and content validity signify anatomic realism, and its appropriateness as a teaching modality, respectively. Measuring OtoVIS’ face and content validity is the first step into creating an immersive VR tool that can be incorporated into OHNS surgical training.

Methods

Following approval by both institutional research ethics boards (Conjoint Health Research Ethics Board, 20–0360; Sunnybrook Research Ethics Board, SUN 2994) OHNS trainees from two postgraduate programs were recruited into the study from July 2020 to February 2021. Each participant received standardized introductions on the Oculus Rift S headset and to the OtoVIS application. Following this, participants were encouraged to explore the external ear, external auditory canal, and the middle ear independently (Fig. 2A–C). Different anatomical landmarks could be toggled on and off throughout the simulation (Fig. 2D).

Fig. 2
figure 2

OtoVIS application images. Images were taken from OtoVIS during it simulation. External ear (A); external auditory canal and transcanal view of the middle ear (B); middle ear space and its anatomical structures (C); middle ear space with labels turned on (D)

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OtoVIS technology

The OpenEar library is comprised of eight high-fidelity, 3D models of the human temporal bone and served as the basis of OtoVIS [19]. The novel amalgamation of imaging from ionizing radiation and micro-slicing allowed for heightened detail of delicate soft tissue structures [16]. The dataset of specimen “zeta” was used as the model prototype in OtoVIS. The 3D mesh reconstruction of zeta reduced the number of polygons to improve VR performance, using a geometric modeling software called Blender 3D version 2.83 (Blender Foundation, Amsterdam, Netherlands). Additional anatomical structures, such as the stapedial tendon, tensor tympani tendon, Jacobson’s nerve, pyramidal eminence, and chorda tympani, were manually modelled into OtoVIS using endoscopic photos and expert surgeons’ feedback. Finally, the external ear and the human head model was adapted from an online store, 3D Scan Store (Ten24 Media LTD., Sheffield, UK).

The Unity platform (Unity Software Inc., San Francisco, CA) and its high-definition rendering pipeline technology was utilized to allow physical settings in OtoVIS to behave as they would in the real world. This allowed for global illumination (simulating realistic lighting in a 3D environment creating reflections, shadows, and refractions), subsurface scattering (the way light is absorbed and scattered on a translucent material), and texturing to be applied to OtoVIS. Texture mapping of blood vessels and nerves, glossy surfaces, translucency, color variations and shadows were referenced from Pollak’s endoscopic view of the middle ear [20]. The depth of field, chromatic aberrations, film grain, motion blur, lens distortion, tone-mapping, and white balance were used to enhance realism of OtoVIS. Lastly, Oculus Integration Library (Facebook Technologies LLC., Menlo Park, CA) was used to set up the functionalities of the VR environment.

Face and content validity

To assess face and content validity, post-simulation data were collected from participants using self-assessment surveys. The residents completed a questionnaire with a Likert scale ranging from 0 (strongly disagree) to 10 (strongly agree). The questions were organized into five face and five content domains, respectively. Face validity domains included questions regarding the satisfaction of the 3D representation of the external and middle ear structures. Content validity domains covered questionnaires about OtoVIS’ usefulness as an educational tool. Responses were reported as the median score with a 25th–75th percentile. A score of 8 or higher was used as the benchmark for validating each domain. Demographic data were collected including the post-graduate year (PGY), estimated number of participated middle ear surgeries, comfort with middle ear anatomy, and preferred learning resource. All responses were anonymized for confidentiality.

Statistical analysis was performed with SPSS statistical package, version 26 (IBM Corp., Armonk, NY). Both Fisher’s exact and Chi-square testing were used for demographic data. The Mann–Whitney U test was used to compare the responses of residents when separating junior from senior trainees.

Thematic analysis

Free-text comments about advantages and disadvantages of OtoVIS were also collected after the Likert scale questionnaire in an open-ended manner. These data were explored in a qualitative fashion using thematic analysis. The free texts were coded into subcategories to define themes.

Results

Demographics

Twenty-three OHNS residents were included in the study (Table 1). All PGY-levels were represented: 4 PGY-1 (17%), 7 PGY-2 (30%), 3 PGY-3 (13%), 6 PGY-4 (26%) and 3 PGY-5 (13%). The residents were grouped into junior (PGY 1–3; n = 14) and senior (PGY 4–5, n = 9) residents for comparison. Out of the 23 participants, 11 were male (48%) and 12 were female (52%). No residents were excluded from the analysis.

Table 1 Demographic information. Post-graduate year (PGY); Standard deviation (SD)
Full size table

The majority of participants were involved in ten or less middle ear surgeries (48% had 0–5 middle ear surgeries, and 17% had 6–10 middle ear surgeries). Only 35% of residents had more than ten middle ear surgical experiences (Table 1). Senior residents possessed more otologic surgical experience when compared to junior residents (p < 0.001). 79% of junior residents participated in five or less middle ear surgeries while 56% of senior residents had more than 30.

Residents learned anatomy mostly from anatomical atlases and lecture materials (96%, 83%, respectively). Only 61% of residents relied on intraoperative experiences to guide their middle ear understanding. Prior to using OtoVIS, the mean comfort level of middle ear anatomy rated from 0 to 10 was 4.8 ± 2.2 (Table 1). Senior residents also had significantly higher average comfort of middle ear anatomy than junior residents (6.7 ± 0.7 vs. 3.6 ± 1.9; p = 0.001). No resident rated their comfort as 10 out of 10.

Face and content validity

The five domains of face validity realism were assessed including the overall graphical rendering, the realism of transcanal visualization of the middle ear, and specific representation of various anatomical structures such as the pinna, ossicular chain, and the medial wall of the tympanic cleft. The five domains of content validity (usefulness and appropriateness for teaching module) included: learning external ear anatomy, understanding middle ear anatomical orientation, understanding the path of the facial and chorda tympani nerves, comprehending surgical hazards in middle ear surgery, and illustrating critical areas in cholesteatoma surgery. OtoVIS was considered realistic in all five face validity domains and useful in all five content validity domains (Figs. 3, 4). There were no significant differences in the responses to face and content validities between the junior and senior residents (Figs. 3, 4).

Fig. 3
figure 3

Face validation assessment of OtoVIS

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Fig. 4
figure 4

Content validation assessment of OtoVIS

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Global rating

Respondents were queried about OtoVIS’ ease of use and its suitability for OHNS training (Fig. 4). Moreover, respondents’ willingness to recommend to colleagues, their ability to apply obtained knowledge to clinical practice, and potential utility in patient education were also examined (Fig. 4). Respondents strongly agreed that OtoVIS should be added to OHNS residency training (10.0; 9.3–10.0) and would recommend OtoVIS to a colleague (10.0; 8.3–10.0). Trainees felt OtoVIS would be applicable to clinical practice (10.0; 9.0–10.0) and useful for patient education (9.0; 7.0–10.0). There were no significant differences in the responses of junior and senior residents (Fig. 4).

Open-ended feedback

The results from the free text comments were summarized in Table 2. The two main themes that were analyzed was “educational tool” (defined as: how OtoVIS has the potential to be a good educational tool) and “challenges” (defined as: potential pitfalls of OtoVIS). Participants identified a safe learning environment, great visual representation, and interactive nature of OtoVIS as its strengths as an educational tool. They also recognized cost, technical difficulties and the user interface to be a potential challenge for OtoVIS.

Table 2 Description of thematic analysis of general comments
Full size table

Discussion

Understanding middle ear anatomy and its complex three-dimensional nature is essential for otologic procedures [11]; however, knowledge translation of spatial relationships from two-dimensional images and the lack of operative exposure challenges a trainee’s ability to learn middle ear anatomy [21]. Although 95.7% of respondents used textbooks and atlases for anatomical understanding, operative exposure in the later years of postgraduate training may explain the significant improvement in comfort levels with middle ear anatomy between junior (3.6 ± 1.9) and senior trainees (6.7 ± 0.7). Often, available resources lack realism to accurately depict anatomical relationships especially when operative experience is limited [22]. This is especially true in middle ear surgeries where the three-dimensional spatial relationships are conceptually difficult, and visualization of the operative field is limited for trainees [10, 23].

OHNS has pioneered the use of digital graphics to improve trainees’ knowledge and skill acquisition in numerous virtual and augmented reality platforms [8, 11, 12, 14, 15, 24]. VR’s unique ability to immerse trainees in an interactive environment provides numerous possibilities to enhance learning [8, 11,12,13, 25]. VR promotes active learning by increasing physical interaction and exploration of the subject matter which has been shown to improve learning efficiency and retention [26,27,28,29]. The full immersion aspect of VR aids in information recall and motivates students for higher interests [30, 31]. Unfortunately, studies or applications that focus on an immersive VR representation of a detailed, in-vivo middle ear soft tissue and bones seen through the endoscopic view are lacking in the last five years [32,33,34,35,36]. The current technological paradigm of immersive VR is not being fully utilized in the educational OHNS surgical training. Previous investigations that presented virtual endoscopic visualization of the middle ear used outdated technologies and lacked photorealistic graphics quality [37,38,39,40,41,42,43] (Fig. 2). Although these studies showed the importance of endoscopic view in conceptualizing a challenging anatomy, the missing technicalities of realistic color information, textures and reflections prevented the creation of a life-like educational model; therefore, OtoVIS was generated to create a photorealistic, texture-rich outer and middle ear rendering to add to a trainee’s armamentarium to overcome the learning curve.

By creating textures with dynamic lighting and shadowing effects, photorealism blends VR visuals to look strikingly realistic [19]. This is the foundation of the OtoVIS platform, which fills a void of realistic three-dimensional middle ear reconstructions resembling live, in-vivo anatomy. Respondents agreed OtoVIS’ visual rendering of the pinna, ossicular chain, medial wall of the tympanic cleft were highly accurate (Fig. 3). Additionally, users felt the ability to explore a photorealistic middle ear cleft proved usefulness in understanding the paths of the facial and chorda tympani nerves in the middle ear (9.0, 7.0–10.0). Furthermore, OtoVIS’ utility in depicting complex areas such as the sinus tympani provide opportunities to understand how anatomy can influence cholesteatoma development or highlight the areas critical to successful surgery (9.0, 7.0–10.0). This detailed level of three-dimensional spatial anatomy would only be explored from intra-operative experience prior to the creation of OtoVIS. This was seen from the thematic analysis of participants’ open-ended feedback. OtoVIS provided “low risk environment for learning difficult anatomy and surgical techniques” with the “best representation of middle ear anatomy” which was “fun and interactive”. “Residents/staff would likely be interested and motivated to use this technology for learning”.

Face and content validities are necessary in evaluating the utility of surgical simulation tools [18]. All domains met or exceeded the threshold of validity confirming OtoVIS as a realistic VR simulation of the middle ear space and would be an appropriate asset to be used as an educational tool for OHNS surgical training (Fig. 4). When stratifying by trainee experience, responses were positive in both groups (Figs. 3, 4, 5). Overall, trainees strongly agreed that OtoVIS should be used in OHNS training (10.0, 9.3–10.0) and they would recommend it to a colleague (9.0, 8.3–10.0). Additionally, OtoVIS was thought to be useful for clinical practice (9.0, 9.0–10.0) and beneficial for patient education (9.0, 7.0–10.0).

Fig. 5
figure 5

Global rating assessment of OtoVIS

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Future steps

OtoVIS’ ability to translate users’ heightened spatial understanding into meaningful understanding of the mechanics of the middle ear or even how diseases such as cholesteatoma may spread requires further evaluation to confirm these encouraging results [18]. Its widespread dissemination as a platform for other regions of the head and neck may position it as a complementary tool in a trainee’s armamentarium.

The flexibility of OtoVIS and head-mounted VR makes it possible to combine other technologies to incorporate a hands-on surgical experience and develop surgical techniques. With the increasing popularity of endoscopic ear surgery, OtoVIS’ photorealism provides an immersive platform for future development of surgical rehearsal.

Limitations of the study

Limitations of this study included the restriction of responses to trainees only. As well, the majority of participants were junior residents with minimal surgical experience. Experienced otologists were not included in this study, which could affect face validity. However, this investigation was aimed at comparing OtoVIS with the current self-guided format of post-graduate training. Moreover, the development of this simulator involved in the input of expert surgeons. Another challenge that was highlighted in the open-end responses was cost. OtoVIS requires several pieces of hardware including a headset paired with a dedicated consumer-grade computer with a moderate graphics processing unit. To supplement or even supplant current materials, adaptation to mobile devices is crucial in high-paced clinical training.

This represents the first study of OtoVIS and its appropriateness as a teaching modality. While face and content validities were assessed, this initial study was limited in measuring knowledge or skill acquisition which requires further investigation. Lastly, OtoVIS is designed from a highly detailed dataset with significant amount of photorealistic processing to generate one specimen. Without variability, trainees may become akin to believing the simulation is default anatomy. Therefore, continued efforts will include multiple specimens, pathologies, and anomalies.

Conclusions

The unique application of photorealism into the outer and middle ear has not been previously endeavored. The heightened realism has enabled for a highly realistic, immersive interaction of trainees and the outer and middle ear. In addition to its utility in improving anatomical understanding, OtoVIS is positioned to dramatically change the traditional paradigm of learning in Otology. The results of this investigation although subjective, provide meaningful insight into the utility that this photorealistic anatomical simulator provides.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

OHNS:

Otolaryngology–Head & Neck Surgery

VR:

Virtual reality

CT:

Computerized tomography

PGY:

Post-graduate year

SD:

Standard deviation

References

  1. Anschuetz L, Huwendiek S, Stricker D, Yacoub A, Wimmer W, Caversaccio M. Assessment of middle ear anatomy teaching methodologies using microscopy versus endoscopy: a randomized comparative study. Anat Sci Educ. 2019;12(5):507–17.

    Article  PubMed  Google Scholar 

  2. Gnanasegaram JJ, Leung R, Beyea JA. Evaluating the effectiveness of learning ear anatomy using holographic models. J Otolaryngol Head Neck Surg. 2020;49(1):63.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Guy J, Muzaffar J, Coulson C. Teaching middle ear anatomy using a novel three-dimensional papercraft model. Eur Arch Otorhinolaryngol. 2021;278(8):2769–74.

    Article  PubMed  Google Scholar 

  4. Marchioni D, Alicandri-Ciufelli M, Piccinini A, Genovese E, Presutti L. Inferior retrotympanum revisited: an endoscopic anatomic study. Laryngoscope. 2010;120(9):1880–6.

    Article  PubMed  Google Scholar 

  5. Leuwer R, Pflesser B, Urban M. Stereoscopic simulation of ear surgery intervention with a novel 3D computer models. Laryngorhinootologie. 2001;80(6):298–302.

    Article  CAS  PubMed  Google Scholar 

  6. Solverson DJ, Mazzoli RA, Raymond WR, Nelson ML, Hansen EA, Torres MF, et al. Virtual reality simulation in acquiring and differentiating basic ophthalmic microsurgical skills. Simul Healthc. 2009;4(2):98–103.

    Article  PubMed  Google Scholar 

  7. Snyder CW, Vandromme MJ, Tyra SL, Porterfield JR Jr, Clements RH, Hawn MT. Effects of virtual reality simulator training method and observational learning on surgical performance. World J Surg. 2011;35(2):245–52.

    Article  PubMed  Google Scholar 

  8. Lui JT, Hoy MY. Evaluating the Effect of virtual reality temporal bone simulation on mastoidectomy performance: a meta-analysis. Otolaryngol Head Neck Surg. 2017;156(6):1018–24.

    Article  PubMed  Google Scholar 

  9. Lui JT, Compton ED, Ryu WHA, Hoy MY. Assessing the role of virtual reality training in Canadian Otolaryngology-Head & Neck Residency Programs: a national survey of program directors and residents. J Otolaryngol Head Neck Surg. 2018;47(1):61.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Silberthau KR, Chao TN, Newman JG. Innovating surgical education using video in the otolaryngology operating room. JAMA Otolaryngol Head Neck Surg. 2020;146(4):321–2.

    Article  PubMed  Google Scholar 

  11. Linke R, Leichtle A, Sheikh F, Schmidt C, Frenzel H, Graefe H, et al. Assessment of skills using a virtual reality temporal bone surgery simulator. Acta Otorhinolaryngol Ital. 2013;33(4):273–81.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Al-Noury K. Virtual reality simulation in ear microsurgery: a pilot study. Indian J Otolaryngol Head Neck Surg. 2012;64(2):162–6.

    Article  PubMed  Google Scholar 

  13. Ho AK, Alsaffar H, Doyle PC, Ladak HM, Agrawal SK. Virtual reality myringotomy simulation with real-time deformation: development and validity testing. Laryngoscope. 2012;122(8):1844–51.

    Article  PubMed  Google Scholar 

  14. Monfared A, Mitteramskogler G, Gruber S, Salisbury JK Jr, Stampfl J, Blevins NH. High-fidelity, inexpensive surgical middle ear simulator. Otol Neurotol. 2012;33(9):1573–7.

    Article  PubMed  Google Scholar 

  15. Hussain R, Lalande A, Marroquin R, Guigou C, Bozorg Grayeli A. Video-based augmented reality combining CT-scan and instrument position data to microscope view in middle ear surgery. Sci Rep. 2020;10(1):6767.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Sieber D, Erfurt P, John S, Santos GRD, Schurzig D, Sorensen MS, et al. The OpenEar library of 3D models of the human temporal bone based on computed tomography and micro-slicing. Sci Data. 2019;6:180297.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Zagury-Orly I, Solinski MA, Nguyen LH, Young M, Drozdowski V, Bain PA, et al. What is the current state of extended reality use in otolaryngology training? A scoping review. Laryngoscope. 2022.

  18. McDougall EM. Validation of surgical simulators. J Endourol. 2007;21(3):244–7.

    Article  PubMed  Google Scholar 

  19. Batista AV. OtoVIS: a photorealistic virtual reality environment for visualizing the anatomical structures of the ear and temporal bone. Calgary, AB; 2020.

  20. Pollak N. Endoscopic and minimally-invasive ear surgery: a path to better outcomes. World J Otorhinolaryngol Head Neck Surg. 2017;3(3):129–35.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Brewer DN, Wilson TD, Eagleson R, de Ribaupierre S. Evaluation of neuroanatomical training using a 3D visual reality model. Stud Health Technol Inform. 2012;173:85–91.

    PubMed  Google Scholar 

  22. McLachlan JC, Bligh J, Bradley P, Searle J. Teaching anatomy without cadavers. Med Educ. 2004;38(4):418–24.

    Article  PubMed  Google Scholar 

  23. Iannella G, Marcotullio D, Re M, Manno A, Pasquariello B, Angeletti D, et al. Endoscopic vs microscopic approach in stapes surgery: advantages in the middle ear structures visualization and trainee’s point of view. J Int Adv Otol. 2017;13(1):14–20.

    Article  PubMed  Google Scholar 

  24. Locketz GD, Lui JT, Chan S, Salisbury K, Dort JC, Youngblood P, et al. Anatomy-specific virtual reality simulation in temporal bone dissection: perceived utility and impact on surgeon confidence. Otolaryngol Head Neck Surg. 2017;156(6):1142–9.

    Article  PubMed  Google Scholar 

  25. Berg LP, Vance JM. Industry use of virtual reality in product design and manufacturing: a survey. Virtual Reality. 2017;21(1):1–17.

    Article  Google Scholar 

  26. Hazlett CB. Prerequisite for enhancing student learning outcomes in medical education. Sultan Qaboos Univ Med J. 2009;9(2):119–23.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Kornell N, Hays MJ, Bjork RA. Unsuccessful retrieval attempts enhance subsequent learning. J Exp Psychol Learn Mem Cogn. 2009;35(4):989–98.

    Article  PubMed  Google Scholar 

  28. Markant DB, Ruggeri A, Gureckis TM, Xu F. Enhanced memory as a common effect of active learning. Mind Brain Educ. 2016;10(3):142–52.

    Article  Google Scholar 

  29. Yeh DD, Park YS. Improving learning efficiency of factual knowledge in medical education. J Surg Educ. 72(5):882–9.

  30. Koivisto J, Hamari J. The rise of motivational information systems: a review of gamification research. Int J Inf Manage. 2019;45:191–210.

    Article  Google Scholar 

  31. Parong J, Mayer RE. Learning science in immersive virtual reality. J Educ Psychol. 2018;110(6):785–97.

    Article  Google Scholar 

  32. Ng CL, Liu X, Chee SC, Ngo RY. An innovative 3-dimensional model of the epitympanum for teaching of middle ear anatomy. Otolaryngol Head Neck Surg. 2015;153(5):832–7.

    Article  PubMed  Google Scholar 

  33. Samra S, Wu A, Redleaf M. Interactive iPhone/iPad app for increased tympanic membrane familiarity. Ann Otol Rhinol Laryngol. 2016;125(12):997–1000.

    Article  PubMed  Google Scholar 

  34. Hendricks BK, Patel AJ, Hartman J, Seifert MF, Cohen-Gadol A. Operative anatomy of the human skull: a virtual reality expedition. Oper Neurosurg (Hagerstown). 2018;15(4):368–77.

    Article  PubMed  Google Scholar 

  35. S. Wijewickrema X. Ma R. Briggs J. Bailey G. Kennedy S. O’Leary BC. Development and validation of a virtual reality tutor to teach clinically oriented surgical anatomy of the ear. In IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS). 2018;12–7.

  36. Adams H, Shinn J, Morrel WG, Noble JH, Bodenheimer R. Development and evaluation of an immersive virtual reality system for medical imaging of the ear. 2019;1095111:36.

  37. Seemann MD, Seemann O, Bonel H, Suckfull M, Englmeier KH, Naumann A, et al. Evaluation of the middle and inner ear structures: comparison of hybrid rendering, virtual endoscopy and axial 2D source images. Eur Radiol. 1999;9(9):1851–8.

    Article  CAS  PubMed  Google Scholar 

  38. Neri E, Caramella D, Panconi M, Berrettini S, Sellari Franceschini S, Forli F, et al. Virtual endoscopy of the middle ear. Eur Radiol. 2001;11(1):41–9.

    Article  CAS  PubMed  Google Scholar 

  39. Rodt T, Ratiu P, Becker H, Bartling S, Kacher DF, Anderson M, et al. 3D visualisation of the middle ear and adjacent structures using reconstructed multi-slice CT datasets, correlating 3D images and virtual endoscopy to the 2D cross-sectional images. Neuroradiology. 2002;44(9):783–90.

    Article  CAS  PubMed  Google Scholar 

  40. Folowosele FO, Camp JJ, Brey RH, Lane JI, Robb RA. 3D imaging and modeling of the middle and inner ear. In Medical imaging 2004: visualization, image-guided procedures, and display. 2004;5367:508.

  41. Nicholson DT, Chalk C, Funnell WR, Daniel SJ. Can virtual reality improve anatomy education? A randomised controlled study of a computer-generated three-dimensional anatomical ear model. Med Educ. 2006;40(11):1081–7.

    Article  PubMed  Google Scholar 

  42. Lee DH, Chan S, Salisbury C, Kim N, Salisbury K, Puria S, et al. Reconstruction and exploration of virtual middle-ear models derived from micro-CT datasets. Hear Res. 2010;263(1–2):198–203.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Dai PD, Zhang TY, Chen JX, Wang ZM, Wang KQ. A virtual laboratory for temporal bone microanatomy. Comput Sci Eng. 2005;7(2):75–9.

    Article  Google Scholar 

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Acknowledgements

None.

Funding

The Karren Family Endowment via the Ohlson Research Initiative at the University of Calgary.

Author information

Authors and Affiliations

  1. Department of Otolaryngology–Head and Neck Surgery, University of Toronto, Toronto, Canada

    Dongho Shin & Joseph M. Chen

  2. Ohlson Research Initiative, Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada

    Arthur V. Batista, Joseph C. Dort & Justin T. Lui

  3. Section of Otolaryngology–Head and Neck Surgery, Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Canada

    Christopher M. Bell, Joseph C. Dort & Justin T. Lui

  4. Cumming School of Medicine, Faculty of Medicine, University of Calgary, Calgary, Canada

    Ella R. M. Koonar

  5. Department of Computer Sciences, University of Calgary, Calgary, AB, Canada

    Sonny Chan

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D.S. Contributed substantially to conception and design, acquisition of data, analysis and interpretation of data. Drafted the article and revised it critically for important intellectual content. Gave final approval of the version to be published. Agreed to act as guarantor of the work (ensuring that questions related to any part of the work are appropriately investigated and resolved). Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. A.V.B. Contributed substantially to conception and design. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. C.M.B. Contributed substantially to conception and design. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. E.R.M.K. Contributed substantially to conception and design. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. J.M.C. Contributed substantially to conception and design. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. S.C. Contributed substantially to conception and design. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. JC.D. Contributed substantially to conception and design. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. J.T.L. Contributed substantially to conception and design, analysis and interpretation of data. Revised the article critically for important intellectual content. Gave final approval of the version to be published. Agreed to act as guarantor of the work (ensuring that questions related to any part of the work are appropriately investigated and resolved). Agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

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Correspondence to Justin T. Lui.

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Shin, D., Batista, A.V., Bell, C.M. et al. Examining the utility of a photorealistic virtual ear in otologic education. J of Otolaryngol - Head & Neck Surg 52, 18 (2023). https://doi.org/10.1186/s40463-022-00614-5

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  • DOI: https://doi.org/10.1186/s40463-022-00614-5

Keywords

Journal of Otolaryngology - Head & Neck Surgery

ISSN: 1916-0216

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