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PURPOSE: To investigate the impact of 3D-printed temporal bone models with two different material transparencies on trainees' mastoidectomy performance. METHODS: Eleven ORL residents performed two anatomical mastoidectomies with posterior tympanotomy on two 3D-printed models with different transparency and VR simulation training. Participants where divided into two groups based on their experience. Within each group participants were randomized to start with the model printed in a completely opaque material or in a material featuring some degree of transparency. After drilling on 3D-printed models, the participants performed two similar mastoidectomies on human cadavers: one on the left side of one cadaver and one on the right side of another cadaver. After drilling 3D-printed models and cadavers, the final-product performances were evaluated by two experienced raters using the 26-item modified Welling Scale. Participants also evaluated the models using a questionnaire. RESULTS: Overall, the participants performed 25 % better on the 3D-printed models featuring transparency compared to the opaque models (18.6 points vs 14.9 points, mean difference = 3.7, 95 % CI 2.0-5.3, P < 0.001)). This difference in performance was independent of which material the participants had drilled first. In addition, the residents also subjectively rated the transparent model to be closer to cadaver dissection. The experienced group starting with the 3D-printed models scored 21.5 points (95 % CI 20.0-23.1), while the group starting with VR simulation training score 18.4 points (95 % CI 16.6-20.3). CONCLUSION: We propose that material used for 3D-printing temporal bone models should feature some degree of transparency, like natural bone, for trainees to learn and exploit key visual cues during drilling.

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XXII Moscow Scientific and Practical Conference "Otorhinolaryngology: Traditions and Modernity", dedicated to the 100th anniversary of the birth of Professors Liya Borisovna Daynyak and Boris Mikhailovich Sagalovich. Part 2.

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PURPOSE OF REVIEW: This review addresses the pressing need for an updated understanding of high-definition 3D exoscope role in contemporary otologic and neurotologic practice. With technological advancements driving innovations in surgical visualization, it is crucial to evaluate the efficacy of exoscope-assisted surgery compared to traditional microscopic approaches. By synthesizing recent literature, this review offers insights into the current state of exoscopic ear and lateral skull base surgery and its implications for clinical practice and research. RECENT FINDINGS: Recent literature has focused on several key themes. Firstly, studies have demonstrated the feasibility and safety of exoscopic approaches for various otologic and neurotologic procedures. Secondly, comparative studies have highlighted similar outcomes with exoscopic techniques compared to conventional microscopic surgery, particularly in terms of operative time and complication rates. Thirdly, the exoscope can be a valuable tool for the education and training of surgeons. SUMMARY: The findings from recent literature underscore the growing significance of exoscope-assisted surgery in otology and lateral skull base practice. However, challenges such as high magnification image quality and learning curve must be addressed to optimize its widespread adoption. Overall, this review highlights the importance of continued research and innovation in this rapidly evolving field.

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BACKGROUND:  The aim of this study was to survey the knowledge and treatment management practices for single-sided deafness (SSD) among different subspecialties of otolaryngology. METHODS:  A questionnaire was sent via Google Sheets to members of the Turkish and Egyptian Otorhinolaryngology Societies between December 2021 and February 2022. For the statistical analysis, the respondents were divided into 3 groups as otologists, non-otologists, and residents at the department of otolaryngology-head and neck department. RESULTS:  There were no statistically significant differences between otologists and non-otologists in radiological imaging (child P = .469, adult P = .140) and preferred treatment method (child P = .546, adult P = .106). However, otolaryngologists showed significant differences in radiological evaluation (P <.001), vestibular evaluation (P = .000), and frequency of treatment options recommended for pediatric and adult SSD patients (P = .000). CONCLUSION:  There were no significant differences in SSD diagnosis, treatment, and rehabilitation between otologists and non-otologists. However, when comparing pediatric and adult patients, there was a difference in the treatment management of SSD patients.

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BACKGROUND: Epistaxis is a recurring cause for referral to emergency departments. Its management can be complex; hence, it is critical to provide appropriate support to Otolaryngology-Head and Neck Surgery (OHNS) residents to develop clinical reasoning skills to manage such cases. Learning-by-Concordance (LbC) is a recently developed educational tool that encourages learners to think through simulated clinical scenarios. A panel of ENTs provides insightful feedback to residents, reflecting a diversity of opinions about practice. Our study aimed to assess LbC's feasibility and perceived value for training OHNS residents in epistaxis management. METHODS: In this qualitative study, three OHNS surgeons, including two faculty members and one resident, wrote the LbC scenarios. The LbC tool was made available to participants through an online platform. A panel of four OHNS faculty provided feedback on answers to LbC questions. Otolaryngology-Head and Neck Surgery residents participated and provided their opinion on the value of this educational tool through an online questionnaire. RESULTS: A total of 10 one-hour sessions were required to create and upload the training tool. To provide insightful feedback embedded in the learning tool, the four panelists needed 60 min each. Of the 37 participating residents, 25 (68%) completed the training. Overall satisfaction was high: 88% appreciated the training method, and 92% wanted to use this type of training again. Most residents felt the training enabled them to improve their clinical reasoning when encountering a patient with epistaxis (92%) and their knowledge about epistaxis (96%). CONCLUSION: Findings suggest that OHNS residents could benefit from clinical reasoning exercises with panelist feedback using the LbC approach for clinical presentations that require complex approaches to manage conditions such as epistaxis.

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Abstracts.

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BACKGROUND: This study aimed to assess the effectiveness of the BOPPPS model (bridge-in, learning objective, pre-test, participatory learning, post-test, and summary) in otolaryngology education for five-year undergraduate students. METHODS: A non-randomized controlled trial was conducted with 167 five-year undergraduate students from Anhui Medical University, who were allocated to an experimental group and a control group. The experimental group received instruction using the BOPPPS model, while the control group underwent traditional teaching methods. The evaluation of the teaching effectiveness was performed through an anonymous questionnaire based on the course evaluation questionnaire. Students' perspectives and self-evaluations were quantified using a five-point Likert scale. Furthermore, students' comprehension of the course content was measured through a comprehensive final examination at the end of the semester. RESULTS: Students in the experimental group reported significantly higher scores in various competencies compared to the control group: planning work (4.27 ± 0.676 vs. 4.03 ± 0.581, P < 0.05), problem-solving skills (4.31 ± 0.624 vs. 4.03 ± 0.559, P < 0.01), teamwork abilities (4.19 ± 0.704 vs. 3.87 ± 0.758, P < 0.05), and analytical skills (4.31 ± 0.719 vs. 4.05 ± 0.622, P < 0.05). They also reported higher motivation for learning (4.48 ± 0.618 vs. 4.09 ± 0.582, P < 0.01). Additionally, students in the experimental group felt more confident tackling unfamiliar problems (4.21 ± 0.743 vs. 3.95 ± 0.636, P < 0.05), had a clearer understanding of teachers' expectations (4.31 ± 0.552 vs. 4.08 ± 0.555, P < 0.05), and perceived more effort from teachers to understand their difficulties (4.42 ± 0.577 vs. 4.13 ± 0.59, P < 0.01). They emphasized comprehension over memorization (3.65 ± 1.176 vs. 3.18 ± 1.065, P < 0.05) and received more helpful feedback (4.40 ± 0.574 vs. 4.08 ± 0.585, P < 0.01). Lecturers were rated better at explaining concepts (4.42 ± 0.539 vs. 4.08 ± 0.619, P < 0.01) and making subjects interesting (4.50 ± 0.546 vs. 4.08 ± 0.632, P < 0.01). Overall, the experimental group expressed higher course satisfaction (4.56 ± 0.542 vs. 4.34 ± 0.641, P < 0.05). In terms of examination performance, the experimental group scored higher on the final examination (87.7 ± 6.7 vs. 84.0 ± 7.7, P < 0.01) and in noun-interpretation (27.0 ± 1.6 vs. 26.1 ± 2.4, P < 0.01). CONCLUSION: The BOPPPS model emerged as an effective and innovative teaching method, particularly in enhancing students' competencies in otolaryngology education. Based on the findings of this study, educators and institutions were encouraged to consider incorporating the BOPPPS model into their curricula to enhance the learning experiences and outcomes of students.

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BACKGROUND: The Otology Questionnaire Amsterdam (OQUA) is developed to evaluate multiple ear complaints and their impact on patients' daily lives. The current clinical use of this questionnaire is below the potential utilization. AIM: To identify the barriers and enablers of using the OQUA as perceived by ENT surgeons and patients and provide recommendations for an implementation strategy. METHODS: Prospective and qualitative analysis was performed using focus groups and interviews with ENT professionals (n = 15) and patients (n = 25) with ear complaints of one tertiary referral hospital and two regional hospitals. Barriers and enablers were identified and classified by using the Capability-Opportunity-Motivation-Behavior model and the Theoretical Domains Framework. Suggestions for an implementation strategy will be made accordingly. RESULTS: ENT professionals' barriers included lack of knowledge and skills to use the OQUA, inadequate technological support and perceived time constraints during consultation, uncertainty about the clinical relevance and lack of feedback on the outcomes of the OQUA. Enablers included beneficial consequences of the OQUA for the professional, organization and science. Patients' barriers included lack of knowledge about the objective and usefulness of the OQUA, perceived burden, difficulties in completing the questionnaire and insufficient feedback during consultation. Patient enablers included beliefs about beneficial consequences of the OQUA for the patient, health care and society. Suggested interventions involved education, training, environmental restructuring and incentivisation. CONCLUSION: Based on the findings, we propose an implementation strategy should focus on education and training about the objective, outcomes and relevance of the OQUA, environmental restructuring regarding the optimal use of the OQUA, and incentivisation with feedback on the valuable outcomes of the OQUA for the patient, professional and healthcare. Future research is needed to determine the feasibility of the implementation strategy.

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Artificial intelligence (AI) studies show how to program computers to simulate human intelligence and perform data interpretation, learning, and adaptive decision-making. Within pediatric otolaryngology, there is a growing body of evidence for the role of AI in diagnosis and triaging of acute otitis media and middle ear effusion, pediatric sleep disorders, and syndromic craniofacial anomalies. The use of automated machine learning with robotic devices intraoperatively is an evolving field of study, particularly in the realms of pediatric otologic surgery and computer-aided planning for maxillofacial reconstruction, and we will likely continue seeing novel applications of machine learning in otolaryngologic surgery.

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Artificial intelligence (AI), particularly deep learning, has revolutionized various fields through its ability to model complex, noisy systems with high accuracy. Driven by advancements in deep neural networks (DNNs), hardware, and data digitization, deep learning now rivals human performance in many tasks. This review focuses on the application of deep learning in otolaryngology, specifically within laryngology and otology. By leveraging digital archives of acoustic and other clinical data, these specialties are beginning to integrate DNNs to enhance patient care. We examine key studies, challenges, and the potential of AI to transform these subdisciplines.

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BACKGROUND: Head and neck surgical simulation training (SST) is an important part in otolaryngology head and neck surgical education. In this study, we provide a live porcine model for SST in recurrent laryngeal nerve (RLN) and facial nerve (FN) dissection for otolaryngology head and neck residents. METHODS: A lecture with surgical manual is provided to illustrate the surgical landmarks of pig, and step-by-step procedures for thyroid and parotid surgery, as well as neck dissection. We used 4-month-old pig weighting 32 kg for the SST. The mentor demonstrated result of RLN injury with continuous nerve monitoring. Participants used monopolar stimulation probe (4 pulse/s, 100 µs, 3-8 mA; Medtronic) to identify and intermittent monitor the RLN and FN during the SST. After the dissection course, we conducted a questionnaire survey to check the effectiveness of this training model. RESULTS: Total 30 participants were recruited, including 16 female and 14 male resident doctors. There were 1, 4 and 25 learners for 3rd year, 4th and 5th years residents, respectively. Before this training course, 53 % (16/30) and 63 % (19/30) had successful experience in finding the RLN and FN, respectively. After the SST, all of our participants had successful identify the RLN and FN (p-value <0.01); all had positive response to stimulation and familiar with the procedure. CONCLUSIONS: The live porcine model is effectiveness in SST for RLN and FN dissection. Live porcine model with real-time RLN and FN monitoring should be provided for otolaryngology head and neck resident training.

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BACKGROUND: Climate change has been identified by the World Health Organization (WHO) as the greatest existing threat to human health. Given the direct exposure of the upper aerodigestive system to pollutants, patients in otolaryngology are at high risk for increased disease burden in the setting of climate change and worsening air quality. Given this and the environmental impact of surgical care, it is essential for surgeons to understand their role in addressing climate health through quality-driven clinical initiatives, education, advocacy, and research. METHODS: A state-of-the-art review was performed of the existing literature on the otolaryngologic health impacts of climate change and environmental sustainability efforts in surgery with specific attention to studies in otolaryngology - head and neck surgery. FINDINGS: Climate variables including heat and air pollution are associated with increased incidence of allergic rhinitis, chronic rhinosinusitis and head and neck cancer. A number of studies have shown that sustainability initiatives in otolaryngology are safe and provide direct cost benefit. CONCLUSION: Surgeons have the opportunity to lead on climate health and sustainability to address the public health burden of climate change.

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Robotic surgery is a growing field with increasing applications to patient care. With the rising use of artificial intelligence (AI), a new frontier emerges, allowing semiautonomous robotics. This article reviews the origins of robotic surgery and subsequent trials of automaticity in all fields. It then describes specific nascent robotic and semiautonomous surgical prototypes within the field of otolaryngology. Finally, broader systemic considerations are posited regarding the implementation of AI-driven robotics in surgery.

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This article discusses the role of computer vision in otolaryngology, particularly through endoscopy and surgery. It covers recent applications of artificial intelligence (AI) in nonradiologic imaging within otolaryngology, noting the benefits and challenges, such as improving diagnostic accuracy and optimizing therapeutic outcomes, while also pointing out the necessity for enhanced data curation and standardized research methodologies to advance clinical applications. Technical aspects are also covered, providing a detailed view of the progression from manual feature extraction to more complex AI models, including convolutional neural networks and vision transformers and their potential application in clinical settings.

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