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Objective: To determine the correlation between the air-bone gap on pure tone audiometry with size of perforation oto-endoscopically.  Study Design: A descriptive study. Place and Duration of the Study: Department of ENT - Head and Neck Surgery, Dow University of Health Sciences (DUHS), from February 2020 to August 2021.  Methodology: A total of 43 patients with dry central pars tensa tympanic membrane perforation were diagnosed through oto-endoscopy during the study. The mean air-bone gap was calculated by assessing each air-bone gap through pure tone audiometry at different frequencies i.e., 250 Hz, 500 Hz, 1,000 Hz, 2,000 Hz, and 4,000 Hz. Air-bone gap was found to be the average value of these frequencies. The photograph of the tympanic membrane was taken oto-endoscopically, and the ratio between size of the perforation to the entire area of the tympanic membrane was measured., Results: During the course of the study, a total of 43 patients agreed to provide consent for this study. Out of the 43 patients, 16 (37.2%) were males and 27 (62.8%) were females. The age range was from 18 to 50 years with average age of 38.302 ± 5.74 years. The mean perforation size was 28.255 ± 9.16% while the mean air-bone gap was 28.000 ± 3.89 dB. It was concluded that the Pearson's correlation coefficient is directly correlated to perforation size and air-bone gap (r = 0.898, p <0.001). Further, hearing loss decreases with decreased middle ear volume and mastoid pneumatisation. Moreover, no change was seen in the mean air-bone gap according to the location of perforation., Conclusion: The hearing loss due to perforation of the tympanic membrane was correlated to the size of the perforation. Further, hearing loss decreases with reduced middle ear volume and mastoid pneumatisation., Key Words: Size of perforation, Hearing loss, Air-bone gap, Oto-endoscopy, Conductive deafness, Mastoid pneumatisation.

Objectives: Virtual Reality (VR) is a successful distraction method for reducing procedure-related pain in children, though it has never been studied during otomicroscopy. Therefore, we investigated the efficacy of VR as a distraction method during otomicroscopy., Methods: This Randomised Control Trial (RCT) included 60 children aged 4-15 years. The patients were randomised to receive distraction by VR, tablet, or no distraction. Procedure-related pain was scored by patients and compared with previous examinations., Results: Patients' experience with otomicroscopy was significantly improved with VR compared to tablet (p < 0.05) and no distraction (p < 0.01). Pain scores did not differ significantly between groups., Conclusion: VR did not reduce pain scores, but it improved the children's experience with otomicroscopy without causing significant adverse outcomes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Introduction: Pathway innovation using smartphone otoscopy and tablet-based audiometry technologies to deliver ear and hearing services via trained audiologists may improve efficiency of the service. An ENT-integrated-community-ear service (ENTICES-combining community audiology management, remote ENT review and novel technologies) was piloted. We aimed to assess the efficiency and safety of ENTICES., Method: ENTICES was a community-based and audiologist-led pathway. Patients with otological symptoms were self-referred to this service. Smartphone otoscopy and tablet-based audiograms were performed. Two otologists reviewed all decisions made in the community by audiologists based on video-otoscopy, hearing tests and chart reviews. Data on the first 50 consecutive new patients attending either consultant-led hospital otology clinics (HOC), audiologist-led hospital advanced audiology diagnostics (AAD) or ENTICES clinics were collected between 1 August 2021 and 31 December 2021. Data were collected through chart reviews and questionnaires to compare the three pathways with respect to efficiency, patient satisfaction, technology utility and safety., Results: No audiology-led ENTICES decisions were amended by hospital otologists following remote review. Remote review of video-otoscopy with history was sufficient for a diagnosis in 80% of cases. Adding hearing tests and standardised history increased the diagnostic yield to 98%. Patient satisfaction scores showed 100% service recommendation. The cost per patient, per visit, was £83.36, £99.07 and £69.72 for AAD, HOC or ENTICES, respectively., Conclusion: ENTICES provides a safe ear and hearing service that patients rated highly. Thirty-two per cent of hospital otology patients were eligible for this service. For those patients, ENTICES is 20% more cost-effective and can reduce the number of clinic visits by up to 60% compared with HOC., (© 2024 John Wiley & Sons Ltd.)

Significance: Pathologies within the tympanic membrane (TM) and middle ear (ME) can lead to hearing loss. Imaging tools available in the hearing clinic for diagnosis and management are limited to visual inspection using the classic otoscope. The otoscopic view is limited to the surface of the TM, especially in diseased ears where the TM is opaque. An integrated optical coherence tomography (OCT) otoscope can provide images of the interior of the TM and ME space as well as an otoscope image. This enables the clinicians to correlate the standard otoscopic view with OCT and then use the new information to improve the diagnostic accuracy and management., Aim: We aim to develop an OCT otoscope that can easily be used in the hearing clinic and demonstrate the system in the hearing clinic, identifying relevant image features of various pathologies not apparent in the standard otoscopic view., Approach: We developed a portable OCT otoscope device featuring an improved field of view and form-factor that can be operated solely by the clinician using an integrated foot pedal to control image acquisition. The device was used to image patients at a hearing clinic., Results: The field of view of the imaging system was improved to a 7.4 mm diameter, with lateral and axial resolutions of 38    μ m and 33.4    μ m , respectively. We developed algorithms to resample the images in Cartesian coordinates after collection in spherical polar coordinates and correct the image aberration. We imaged over 100 patients in the hearing clinic at USC Keck Hospital. Here, we identify some of the pathological features evident in the OCT images and highlight cases in which the OCT image provided clinically relevant information that was not available from traditional otoscopic imaging., Conclusions: The developed OCT otoscope can readily fit into the hearing clinic workflow and provide new relevant information for diagnosing and managing TM and ME disease., (© 2024 The Authors.)

Objective: This study aimed to compare daily and total recreational music exposure levels and extended-spectrum audiogram results in young adults without pre-existing hearing problems., Design: The study included healthy volunteers aged 18-25 with no known ear disease or hearing loss. Participants completed a questionnaire, underwent otoscopic and tympanometric examinations, and determined preferred music volumes in an audiometry booth using calibrated music samples of their preferred genres. Hearing thresholds up to 16 kiloHertz (kHz) were measured. Daily music exposure for each participant was normalized to 8 h to calculate a time-weighted average of 8 h (TWA8). Total exposure (TE) was calculated by multiplying TWA8 by the number of years of music listening., Results: A total of 32.4% of participants had TWA8s above 65 dB. Their hearing thresholds at 125, 250, 500, and 16,000 Hz and the average of 125 Hz-8 kHz were significantly higher. Participants with TWA8s above 65 dB were also more prone to speaking loudly and experiencing communication difficulties on the phone. Those with a TE of more than 400 experienced significantly more speech discrimination difficulty in noisy environments and temporary hearing loss/tinnitus after exposure to loud music. Participants with a TE above 700 had worse thresholds at 4, 14, and 16 kHz frequencies, as well as 125-8000 Hz and 500-4000 Hz averages compared to those with a TE below 700., Conclusions: This study provides evidence that recreational music with much lower exposure levels than the universally accepted TWA8 of 85 dB could negatively impact hearing in healthy young adults. Therefore, maintaining a maximum TWA8 of 65 dB is recommended., (© 2024. The Author(s).)

Purpose: Tympanostomy tube (TT) placement is the most frequently performed ambulatory surgery in children under 15. After the procedure it is recommended that patients follow up regularly for "tube checks" until TT extrusion. Such visits incur direct and indirect costs to families in the form of days off from work, copays, and travel expenses. This pilot study aims to compare the efficacy of tympanic membrane (TM) evaluation by an artificial intelligence algorithm with that of clinical staff for determining presence or absence of a tympanostomy tube within the TM., Methods: Using a digital otoscope, we performed a prospective study in children (ages 10 months-10 years) with a history of TTs who were being seen for follow up in a pediatric otolaryngology clinic. A smartphone otoscope was used by study personnel who were not physicians to take ear exam images, then through conventional otoscopic exam, ears were assessed by a clinician for tubes being in place or tubes having extruded from the TM. We trained and tested a deep learning (artificial intelligence) algorithm to assess the images and compared that with the clinician's assessment., Results: A total of 123 images were obtained from 28 subjects. The algorithm classified images as TM with or without tube in place. Overall classification accuracy was 97.7 %. Recall and precision were 100 % and 96 %, respectively, for TM without a tube present, and 95 % and 100 %, respectively, for TM with a tube in place., Discussion: This is a promising deep learning algorithm for classifying ear tube presence in the TM utilizing images obtained in awake children using an over-the-counter otoscope available to the lay population. We are continuing enrollment, with the goal of building an algorithm to assess tube patency and extrusion., Competing Interests: Declaration of competing interest The COHI Group provided the digital otoscope and iPod touch for research purposes. There are no other conflicts of interest to report. There was no source of funding for this study. No artificial intelligence platforms were utilized to aid in the writing of this manuscript., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objective: The COVID-19 pandemic has spurred a growing demand for telemedicine. Artificial intelligence and image processing systems with wireless transmission functionalities can facilitate remote care for otitis media (OM). Accordingly, this study developed and validated an algorithm-driven tele-otoscope system equipped with Wi-Fi transmission and a cloud-based automatic OM diagnostic algorithm., Study Design: Prospective, cross-sectional, diagnostic study., Setting: Tertiary Academic Medical Center., Methods: We designed a tele-otoscope (Otiscan, SyncVision Technology Corp) equipped with digital imaging and processing modules, Wi-Fi transmission capabilities, and an automatic OM diagnostic algorithm. A total of 1137 otoscopic images, comprising 987 images of normal cases and 150 images of cases of acute OM and OM with effusion, were used as the dataset for image classification. Two convolutional neural network models, trained using our dataset, were used for raw image segmentation and OM classification., Results: The tele-otoscope delivered images with a resolution of 1280 × 720 pixels. Our tele-otoscope effectively differentiated OM from normal images, achieving a classification accuracy rate of up to 94% (sensitivity, 80%; specificity, 96%)., Conclusion: Our study demonstrated that the developed tele-otoscope has acceptable accuracy in diagnosing OM. This system can assist health care professionals in early detection and continuous remote monitoring, thus mitigating the consequences of OM., (© 2024 American Academy of Otolaryngology–Head and Neck Surgery Foundation.)

Purpose: Patient-to-image registration is a preliminary step required in surgical navigation based on preoperative images. Human intervention and fiducial markers hamper this task as they are time-consuming and introduce potential errors. We aimed to develop a fully automatic 2D registration system for augmented reality in ear surgery., Methods: CT-scans and corresponding oto-endoscopic videos were collected from 41 patients (58 ears) undergoing ear examination (vestibular schwannoma before surgery, profound hearing loss requiring cochlear implant, suspicion of perilymphatic fistula, contralateral ears in cases of unilateral chronic otitis media). Two to four images were selected from each case. For the training phase, data from patients (75% of the dataset) and 11 cadaveric specimens were used. Tympanic membranes and malleus handles were contoured on both video images and CT-scans by expert surgeons. The algorithm used a U-Net network for detecting the contours of the tympanic membrane and the malleus on both preoperative CT-scans and endoscopic video frames. Then, contours were processed and registered through an iterative closest point algorithm. Validation was performed on 4 cases and testing on 6 cases. Registration error was measured by overlaying both images and measuring the average and Hausdorff distances., Results: The proposed registration method yielded a precision compatible with ear surgery with a 2D mean overlay error of 0.65 ± 0.60 mm for the incus and 0.48 ± 0.32 mm for the round window. The average Hausdorff distance for these 2 targets was 0.98 ± 0.60 mm and 0.78 ± 0.34 mm respectively. An outlier case with higher errors (2.3 mm and 1.5 mm average Hausdorff distance for incus and round window respectively) was observed in relation to a high discrepancy between the projection angle of the reconstructed CT-scan and the video image. The maximum duration for the overall process was 18 s., Conclusions: A fully automatic 2D registration method based on a convolutional neural network and applied to ear surgery was developed. The method did not rely on any external fiducial markers nor human intervention for landmark recognition. The method was fast and its precision was compatible with ear surgery., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Prior work has demonstrated improved accuracy in otitis media diagnosis based on otoscopy using artificial intelligence (AI)-based approaches compared to clinician evaluation. However, this difference in accuracy has not been shown in a setting resembling the point-of-care. In this study, we compare the diagnostic accuracy of a machine-learning model to that of pediatricians using standard handheld otoscopes. We find that the model is more accurate than clinicians (90.6% vs 59.4%, P = .01). This is a step towards validation of AI-based diagnosis under more real-world conditions. With further validation, for example on different patient populations and in deployment, this technology could be a useful addition to the clinician's toolbox in accurately diagnosing otitis media., (© 2023 American Academy of Otolaryngology–Head and Neck Surgery Foundation.)

The aim of this article is to determine the efficacy of otoendoscopy during microscopic cholesteatoma surgery on residual cholesteatoma rates postoperatively. The medical records of patients (aged 4-90) with primary acquired cholesteatoma who underwent microscopic cholesteatoma surgery (exclusively transcanal approach or canal wall-up tympano-mastoidectomy) with subsequent otoendoscopic examination (80 ears) for intraoperative cholesteatoma residues were retrospectively reviewed. All cases with mixed microscopic/endoscopic, fully endoscopic, or fully microscopic dissection were excluded, as well as cases where a canal wall-down technique was used. After microscopic cholesteatoma removal, the otoendoscope was used to inspect the middle ear recesses for intraoperative cholesteatoma residues. The intra- and postoperative cholesteatoma residue rate were evaluated. On endoscopic examination, intraoperative cholesteatoma residues were encountered in 24 patients (30%). A total of 30 foci were detected. Most of them were found in the superior retrotympanum (15 foci). In 9 cases an antral remnant guided the surgeon to convert to a canal wall up tympanomastoidectomy. During the postoperative follow-up period, residual cholesteatoma was detected on postoperative magnetic resonance imaging in 6 patients (7.5%). Adding an otoendoscopic examination to microscopic cholesteatoma surgery reduced the postoperative cholesteatoma residues rate (odds ratio=0.16). A negative otoendoscopic examination led to a cholesteatoma residue-free follow-up period in 95% of cases(NPV=0.95). Otoendoscopy is effective in identifying intraoperative cholesteatoma residues after microscopic cholesteatoma surgery. It reduces the postoperative cholesteatoma residue rate, and a negative otoendoscopic examination increases the likelihood of a cholesteatoma residue-free follow-up.

Isolated malleus fractures are a rare occurrence with few reported cases in the literature. Symptoms include sudden otalgia, hearing loss, tinnitus and aural fullness. Work-up and diagnosis are based on a combination of thorough anamnesis and careful otoscopic evaluation or high-resolution computer tomography. We present two cases of isolated malleus handle fractures who were diagnosed based on a combination of pneumatic otoscopy and tympanometry. Both fractures were surgically repaired using hydroxyapatite bone cement as showcased in the supplemental video material. Post-operative audiometry showed improvement in the pure-tone-average of both patients as well as normalisation of tympanometry. Isolated malleus fracture should be suspected in cases of sudden hearing loss and tinnitus following digital manipulation of the outer ear canal together with a conductive hearing loss with a mostly high-frequent air-bone-gap and hypercompliant tympanometry with hypermobility of the tympanic membrane on pneumatic insufflation. Surgical repair of the fracture using bone cement has good hearing outcomes and leads to improvement in auditory symptoms., Competing Interests: Declaration of competing interest Nothing to disclose. The contents of this paper have not been published or presented previously., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: The study aimed to assess the impact of different training modalities on otoscopy performance during a practical exam using a high-fidelity simulator and to determine if objective evaluation of otoscopy is feasible using a simulator that records insertion depth and tympanic membrane coverage., Methods: Participants were assigned to one of four groups: control and three intervention groups with varying training approaches. Participants received otoscopy training and then were assessed through a practical exam on a high-fidelity simulator that uses virtual reality to visualize the ear canal and middle ear. Performance was evaluated using a modified Objective Structured Assessment of Technical Skills checklist and Integrated Procedural Performance Instrument checklist. Insertion depth, tympanic membrane coverage, and correct diagnosis were recorded. Data were tested for normal distribution using the Shapiro-Wilk test. One-way ANOVA and, for non-normally distributed data, Kruskal-Wallis test combined with Dunn's test for multiple comparisons were used. Interrater reliability was assessed using Cohen's κ and Intraclass correlation coefficient., Results: All groups rated their training sessions positively. Performance on the OSATS checklist was similar among groups. IPPI scores indicated comparable patient handling skills. The feedback group examined larger tympanic membrane areas and had higher rates of correct diagnosis. The correct insertion depth was rarely achieved by all participants. Interrater reliability for OSATS was strong. IPPI reliability showed good correlation., Conclusion: Regardless of training modality, participants perceived learning improvement and skill acquisition. Feedback improved examination performance, indicating simulator-guided training enhances skills. High-fidelity simulator usage in exams provides an objective assessment of performance., (© 2024. The Author(s).)

Objectives: Performing pediatric otoscopy can be difficult secondary to patient compliance, which potentiates misdiagnosis and inaccurate treatment of acute otitis media. This study used a convenience sample to assess the feasibility of using a video otoscope for the examination of tympanic membranes in children presenting to a pediatric emergency department., Methods: We obtained otoscopic videos using the JEDMED Horus + HD Video Otoscope. Participants were randomized to video or standard otoscopy, and a physician completed their bilateral ear examinations. In the video group, physicians reviewed otoscope videos with the patient's caregiver. The caregiver and physician completed separate surveys using a 5-point Likert Scale regarding perceptions of the otoscopic examination. A second physician reviewed each otoscopic video., Results: We enrolled 213 participants in 2 groups (standard otoscopy, n = 94; video otoscopy, n = 119). We used Wilcoxon rank sum, Fisher exact test, and descriptive statistics to compare results across groups. For physicians, there were no statistically significant differences between groups with ease of device use, quality of otoscopic view, or diagnosis. There was moderate agreement between physician video otoscopic view satisfaction and slight agreement between physician video otologic diagnosis. Estimates of length of time to complete the ear examinations were longer more often for the video otoscope compared with standard for both caregivers (OR, 2.00; 95% confidence interval, 1.10-3.70; P = 0.02) and physicians (OR, 3.08; 95% confidence interval, 1.67-5.78; P < 0.01). There were no statistically significant differences between video and standard otoscopy with regard to caregiver perception of comfort, cooperation, satisfaction, or diagnosis understanding., Conclusions: Caregivers perceive that video otoscopy and standard otoscopy are comparable in comfort, cooperation, examination satisfaction, and diagnosis understanding. Physicians made a wider range of more subtle diagnoses with the video otoscope. However, examination length of time may limit the JEDMED Horus + HD Video Otoscope's feasibility in a busy pediatric emergency department., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Importance: Acute otitis media (AOM) is a frequently diagnosed illness in children, yet the accuracy of diagnosis has been consistently low. Multiple neural networks have been developed to recognize the presence of AOM with limited clinical application., Objective: To develop and internally validate an artificial intelligence decision-support tool to interpret videos of the tympanic membrane and enhance accuracy in the diagnosis of AOM., Design, Setting, and Participants: This diagnostic study analyzed otoscopic videos of the tympanic membrane captured using a smartphone during outpatient clinic visits at 2 sites in Pennsylvania between 2018 and 2023. Eligible participants included children who presented for sick visits or wellness visits., Exposure: Otoscopic examination., Main Outcomes and Measures: Using the otoscopic videos that were annotated by validated otoscopists, a deep residual-recurrent neural network was trained to predict both features of the tympanic membrane and the diagnosis of AOM vs no AOM. The accuracy of this network was compared with a second network trained using a decision tree approach. A noise quality filter was also trained to prompt users that the video segment acquired may not be adequate for diagnostic purposes., Results: Using 1151 videos from 635 children (majority younger than 3 years of age), the deep residual-recurrent neural network had almost identical diagnostic accuracy as the decision tree network. The finalized deep residual-recurrent neural network algorithm classified tympanic membrane videos into AOM vs no AOM categories with a sensitivity of 93.8% (95% CI, 92.6%-95.0%) and specificity of 93.5% (95% CI, 92.8%-94.3%) and the decision tree model had a sensitivity of 93.7% (95% CI, 92.4%-94.9%) and specificity of 93.3% (92.5%-94.1%). Of the tympanic membrane features outputted, bulging of the TM most closely aligned with the predicted diagnosis; bulging was present in 230 of 230 cases (100%) in which the diagnosis was predicted to be AOM in the test set., Conclusions and Relevance: These findings suggest that given its high accuracy, the algorithm and medical-grade application that facilitates image acquisition and quality filtering could reasonably be used in primary care or acute care settings to aid with automated diagnosis of AOM and decisions regarding treatment.

Objective: Telemedicine, particularly real time video-otoscopy in rural and remote Australia holds great potential in assessing and managing otology conditions. There is good evidence of store and forward images for assessment, however limited evidence exists for the use of real-time video-otoscopy. The objective of this study was to assess the validity of using real time video-otoscopy, compared to standard store and forward still image otoscopy, in a paediatric population., Method: Fifty-two paediatric tympanic membranes in 27 patients were examined and photographed by a telehealth facilitator with prior otoscope training. This occurred at two rural Western Australian health centre sites. These images were stored and forwarded to a tertiary paediatric hospital for otolaryngology department assessment on the day of real-time video-otoscopy consultation. During this consultation the same twenty-seven patients underwent real-time video-otoscopy assessment, which was recorded. Across six domains including, image quality, focus, light, cerumen amount, field of view and tympanic membrane landmarks, real-time video-otoscopy was compared against still image capture. The recording of each real-time video-otoscopy and still image tympanic membrane was assessed by two otology specialists for the ability to diagnose each as either normal or abnormal. An inter-rater reliability agreement was then calculated., Results: There was greater image adequacy across five of the six domains for real time video-otoscopy compared to standard store and forward otoscopy images. Substantial agreement in diagnosing each tympanic membrane as either normal or abnormal between each rater was evident., Conclusion: This study supports the use of real time video-otoscopy during telemedicine consultation. With greater image quality, focus, light, field of view and identification of tympanic membrane landmarks video-otoscopy compared to still images has broad clinical applications. This includes primary assessment of the tympanic membrane and post operative follow-up clinical settings. Video-otoscopy offers a promising new way to over-come barriers in delivering ear health care in rural populations., Competing Interests: Declaration of competing interest No potential conflict of interest was reported by the author(s)., (Crown Copyright © 2024. Published by Elsevier B.V. All rights reserved.)

Objective: To compare the concordance of advanced audiologists (AA), junior doctors (JD) and paediatric audiologists (PA) with an Ear, Nose and Throat (ENT) specialist on the diagnosis and management of children with middle ear or hearing concerns., Design: A clinical equivalence (concordance) study., Study Sample: Three AAs, five JDs, three PAs and one ENT specialist asynchronously reported diagnoses and management plans for ten, online paediatric cases consisting of video-otoscopic images and clinical findings., Results: For medical diagnosis, significant agreement with the ENT specialist was observed at moderate and near-perfect levels for two AAs (k = 0.561 and 0.815), moderate levels for four JDs (k = 0.5 to 0.603) and near-perfect level for one PA (k = 0.815). For management decisions, significant agreement with the ENT specialist was observed at substantial (k = 0.636) and near-perfect (k = 0.818) levels for two AAs, and at a moderate level (k = 0.538) for one PA. Within group inter-rater agreement for management plans was substantial for AAs and JDs, and moderate for PAs., Conclusions: For children with middle ear disease or hearing concerns, AAs, JDs and PAs showed similar levels of agreement with an ENT specialist on diagnosis, but AAs were more likely than JDs or PAs to agree with an ENT specialist on management.

Objective: The video otoscope has already proven to be useful for the diagnosis of several pathologies, so the objective of this study was to evaluate the diagnostic accuracy of the video otoscope in cases of tympanic membrane perforation., Methods: This is a diagnostic accuracy study performed at the hearing health division of a tertiary-level referral hospital. Patients older than 8 years of age who had any symptom that could be related to perforation (otalgia, otorrhea, tinnitus, and/or hypoacusis) were invited to participate in the study. Participants were evaluated by three different diagnostic methods (otomicroscope, conventional otoscope, and video otoscope) performed by three different evaluators in a blind fashion. The microscope was considered the reference standard., Results: 176 patients were evaluated, totaling 352 tympanic membranes. Twenty-seven tympanic membrane perforations were diagnosed by the microscope, a prevalence of 7.7%. The video otoscope showed a sensitivity of 85.2% (95% CI 81.5%‒88.9%), specificity of 98.1% (95% CI 96.7%‒99.5%) and accuracy of 97.1% (95% CI 95.4 %-98.8 %). The conventional otoscope showed a sensitivity of 96.3% (95% CI 94.3-98.3), specificity of 98.8% (95% CI 97.7-99.9) and accuracy of 98.6% (95% CI 97.4-99.8). The Kappa value between the microscope and the video otoscope was 0.8 and between the microscope and the conventional otoscope was 0.9. Regarding the participants' perception, 53.4% (p< 0.001) considered the video otoscope as the best method for understanding the tympanic membrane condition presented by them., Conclusions: The video otoscope showed relevant sensitivity and specificity for clinical practice in the diagnosis of tympanic membrane perforation. Moreover, this is an equipment that can facilitate the patient's understanding of the otologic pathology presented by him/her. In this regard, this method may be important for better patient compliance, requiring further studies to evaluate this hypothesis., Level of Evidence: Is this diagnostic or monitoring test accurate? (Diagnosis)-Level 2 (Individual cross-sectional studies with consistently applied reference standard and blinding)., (Copyright © 2023 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier España S.L.U. All rights reserved.)

Introduction: Video otoscopy plays an important role in improving access to ear health services. This study investigated the clinician-rated quality of video otoscopy recordings and still images, and compared their suitability for asynchronous diagnosis of middle-ear disease., Methods: Two hundred and eighty video otoscopy image-recording pairs were collected from 150 children (aged six months to 15 years) by an ear, nose, and throat (ENT) specialist, audiologists, and trained research assistants, and independently rated by an audiologist and ENT surgeon. On a five-point scale, clinicians rated the cerumen amount, field of view, quality, focus, light, and gave an overall rating, and asked whether they could make an accurate diagnosis for both still images and recordings., Results: More video otoscopy recordings were rated as 'good' or 'excellent' compared to still images across all domains. The mean difference between the two otoscopic procedures ratings was significant across almost all domains ( p  < 0.05), except 'cerumen amount'. The suitability to make a diagnosis significantly improved when using recordings (p<0.05). Younger participant age was found to have a significant, negative impact on the ratings across all domains ( p  < 0.03). The role of the tester conducting video otoscopy did not have a significant impact on the ratings., Discussion: Video otoscopy recordings were found to provide clearer views of the tympanic membrane and increase the ability to make diagnoses, compared to still images, for both audiologists and ENT surgeons. Research assistants with limited practice were able to obtain video otoscopy images and recordings that were comparable to the ones obtained by clinicians.

Objectives: To assess the face, construct and content validity of three different platforms for otoscopy skills assessment, using a traditional otoscope with manikin, digital otoscope (Tympahealth) with manikin, and traditional otoscope with a low-cost model ear (SimEar)., Design: Prospective mixed methods study., Setting: Tertiary hospital., Participants: Postgraduate trainees and expert assessors., Main Outcome Measures: Face and Content validity based on expert assessor ranking on each model and their feedback from semi-structured interviews. Construct validity based on Objective Structured Clinical Examination scores., Results: Each platform differed in face, construct and content validity scores, with no one platform consistently outperforming others. Three main themes were identified during thematic analysis of expert assessor interviews: ability to assess what is seen, anatomical reality, and ease of use. The low-cost model showed greatest potential, where modification to include a silicone ear could lead to high validity with marginal increase in cost., Conclusion: Several modalities for assessing otoscopy skills exist, each with advantages and disadvantages. Modifications to a low-cost model, for use with either a traditional or digital otoscope, could prove to be the best model., (© 2022 John Wiley & Sons Ltd.)

Objective: To systematically evaluate the development of Machine Learning (ML) models and compare their diagnostic accuracy for the classification of Middle Ear Disorders (MED) using Tympanic Membrane (TM) images., Methods: PubMed, EMBASE, CINAHL, and CENTRAL were searched up until November 30, 2021. Studies on the development of ML approaches for diagnosing MED using TM images were selected according to the inclusion criteria. PRISMA guidelines were followed with study design, analysis method, and outcomes extracted. Sensitivity, specificity, and area under the curve (AUC) were used to summarize the performance metrics of the meta-analysis. Risk of Bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool in combination with the Prediction Model Risk of Bias Assessment Tool., Results: Sixteen studies were included, encompassing 20254 TM images (7025 normal TM and 13229 MED). The sample size ranged from 45 to 6066 per study. The accuracy of the 25 included ML approaches ranged from 76.00% to 98.26%. Eleven studies (68.8%) were rated as having a low risk of bias, with the reference standard as the major domain of high risk of bias (37.5%). Sensitivity and specificity were 93% (95% CI, 90%-95%) and 85% (95% CI, 82%-88%), respectively. The AUC of total TM images was 94% (95% CI, 91%-96%). The greater AUC was found using otoendoscopic images than otoscopic images., Conclusions: ML approaches perform robustly in distinguishing between normal ears and MED, however, it is proposed that a standardized TM image acquisition and annotation protocol should be developed., Level of Evidence: NA Laryngoscope, 133:732-741, 2023., (© 2022 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep learning methods to identify middle ear disease from otoscopic images, between internal to external performance. 1842 otoscopic images were collected from three independent sources: (a) Van, Turkey, (b) Santiago, Chile, and (c) Ohio, USA. Diagnostic categories consisted of (i) normal or (ii) abnormal. Deep learning methods were used to develop models to evaluate internal and external performance, using area under the curve (AUC) estimates. A pooled assessment was performed by combining all cohorts together with fivefold cross validation. AI-otoscopy algorithms achieved high internal performance (mean AUC: 0.95, 95%CI: 0.80-1.00). However, performance was reduced when tested on external otoscopic images not used for training (mean AUC: 0.76, 95%CI: 0.61-0.91). Overall, external performance was significantly lower than internal performance (mean difference in AUC: -0.19, p ≤ 0.04). Combining cohorts achieved a substantial pooled performance (AUC: 0.96, standard error: 0.01). Internally applied algorithms for otoscopy performed well to identify middle ear disease from otoscopy images. However, external performance was reduced when applied to new test cohorts. Further efforts are required to explore data augmentation and pre-processing techniques that might improve external performance and develop a robust, generalizable algorithm for real-world clinical applications., (© 2023. The Author(s).)

Objective: To assess the diagnostic agreement between smartphone-enabled otoscopy and rigid otoendoscopy in tympanic membrane and middle ear diseases., Methods: A cross-sectional study was carried out to analyze otoscopies in patients seen at a general otorhinolaryngology (ORL) outpatient clinic, from June to December 2019. Eighty-three images of patients obtained from otoscopies performed through a smartphone device and a rigid endoscope were included, recorded, and stored for further analysis. The images were first analyzed by an experienced otologist, who assigned his diagnostic impression (defined as the gold standard) on each of the images. After this analysis, the images were displayed to a group of secondary raters (an experienced otorhinolaryngologist, a second-year resident in ORL, and a general practitioner). A questionnaire was applied related to each image., Results: There was high agreement between the smartphone device and the otoendoscopy images for all professionals, with a Kappa coefficient of 0.97 (p < 0.001). The smartphone device showed a diagnostic sensitivity of 81.1% and a specificity of 71.1%. As for the otoendoscopy, it showed a sensitivity of 84.7% and a specificity of 72.4%. The image classification as "2 = Good" was the most frequent one, with 34.9% for otoendoscopy and 31.6% for the smartphone device., Conclusion: There was a high diagnostic agreement between smartphone device-guided otoscopy and the rigid otoendoscopy, demonstrating the feasibility of using this device in clinical practice., (Copyright © 2021 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier Editora Ltda. All rights reserved.)

Objective: To assess and improve otoscopy examination skills across various medical specialities who perform otoscopy during their professional practice., Methods: A pre-intervention survey was created using www.surveymonkey.com, which included several preliminary questions to clarify the participant's speciality and training level, followed by 25 individual otoscopy images. The participants were given 12 possible diagnoses for each otoscopy image and asked to choose the single best answer. After completing the survey, participants were asked to watch an otoscopy teaching session. This teaching session was created with multidisciplinary feedback, and the content included a demonstration video and a didactic lecture. Finally, a post-intervention survey was circulated four weeks later to the same cohort of doctors to assess improvement., Results: A total of 79 pre-intervention surveys were collected with an average score of 53% (range 20-100%). The spectrum of medical specialities that completed the pre-intervention survey included paediatrics, ear, nose, and throat (ENT), emergency medicine, and general practice. The largest cohort of surveys came from senior house officers (SHO). In addition, 78.5% of responses were completed by doctors who had not worked in ENT before. After completing the otoscopy teaching session and at least four weeks after the initial survey, 23 post-intervention surveys were completed with an average score of 66% (range 32-100%), a 13% improvement., Conclusions: The results of the pre-intervention survey show that many doctors have difficulty diagnosing ear conditions. The implementation of a 25-min teaching session achieved a 13% improvement in the otoscopy knowledge of doctors across a variety of specialities., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objective: To compare the asynchronous assessment of video otoscopic still images to recordings by an audiologist and ear, nose and throat surgeon (ENT) for diagnostic reliability and agreement in identifying middle-ear disease., Design: A prospective cross-sectional study, asynchronously assessing video otoscopy, tympanometry and case history (Dx1). A subset was re-diagnosed (Dx2)., Study Sample: Video otoscopy and data from 146 children recruited at two public community events; a sub-set of 47 were re-assessed., Results: The intra-rater diagnostic agreement between Dx1 and Dx2 was moderate ( k  = 0.445-0.552) for the ENT surgeon, and almost-perfect ( k  = 0.928) for the audiologist, in both procedures. The agreement between the two procedures was substantial ( k  = 0.624) and moderate ( k  = 0.416) for the ENT surgeon in Dx1 and Dx2 respectively, and almost-perfect for the audiologist ( k  = 0.854-0.978) in both rounds. In Dx1, the inter-rater agreement between the clinicians was substantial using still images ( k  = 0.672) and moderate using recordings ( k  = 0.593); in Dx2 it was moderate using both procedures ( k  = 0.477-0.488)., Conclusion: Both video otoscopic procedures, in addition to tympanometry and case history information, can be reliably used for asynchronous diagnosis of childhood middle-ear disease. An audiologist has a potential role in triaging children with middle-ear abnormalities and, therefore, improving access to ear-health services.

Objectives: As telemedicine has become increasingly utilized during the COVID-19 pandemic, portable otoendoscopy offers a method to perform an ear examination at home. The objective of this pilot study was to assess the quality of otoendoscopic images obtained by non-medical individuals and to determine the effect of a simple training protocol on image quality., Methods: Non-medical participants were recruited and asked to capture images of the tympanic membrane before and after completion of a training module, as well as complete a survey about their experience using the otoendoscope. Images were de-identified, randomized, and evaluated by 6 otolaryngologists who were blinded as to whether training had been performed prior to the image capture. Images were rated using a 5-point Likert scale., Results: Completion of a training module resulted in a significantly higher percentage of tympanic membrane visible on otoendoscopic images, as well as increased physician confidence in identifying middle ear effusion/infection, cholesteatoma, and deferring an in-person otoscopy ( P  < .0001). However, even with improved image quality, in most cases, physicians reported that they would not feel comfortable using the images to for diagnosis or to defer an in-person examination. Most participants reported that the otoendoscope was simple to use and that they would feel comfortable paying for the device., Conclusions: At-home otoendoscopes can offer a sufficient view of the tympanic membrane in select cases. The use of a simple training tool can significantly improve image quality, though often not enough to replace an in-person otoscopic exam.

Objective: This study aimed to determine the implications of including tympanometry in the Rapid Assessment of Hearing Loss survey protocol. A comparative study design was employed, with findings from otoscopy compared with the results of tympanometry., Method: A population-based survey of the prevalence and causes of hearing loss among adults aged over 35 years in The Gambia was conducted. Clinical assessments included air conduction audiometry, otoscopy and clinical history. Otoscopy outcome was recorded and for those with hearing loss, a probable cause was assigned. Following otoscopy, tympanometry was completed. Otoscopy outcome was not changed as a result of tympanometry. Clinician assigned cause was compared to the results of tympanometry. The proportion of causes potentially misclassified by excluding tympanometry was determined., Results: Among people with hearing loss, including tympanometry led to a higher proportion diagnosed with middle-ear conditions., Conclusion: The value of adding tympanometry to population-based survey protocols is a higher estimated proportion of hearing loss being attributed to middle-ear disease rather than sensorineural causes. This can inform service needs as more people will be classified as needing medical or surgical services, and a slightly lower number will need rehabilitative services, such as hearing assistive devices. It is highly recommended that tympanometry is included in the protocol.

Telehealth in otolaryngology is gaining popularity as a potential tool for increased access for rural populations, decreased specialist wait times, and overall savings to the healthcare system. The adoption of telehealth has been dramatically increased by the COVID-19 pandemic limiting patients' physical access to hospitals and clinics. One of the key challenges to telehealth in general otolaryngology and otology specifically is the limited physical examination possible on the ear canal and middle ear. This is compounded in pediatric populations who commonly present with middle ear pathologies which can be challenging to diagnose even in the clinic. To address this need, various otoscopes have been designed to allow patients, their parents, or primary care providers to image the tympanic membrane and middle ear, and send data to otolaryngologists for review. Furthermore, the ability of these devices to capture images in digital format has opened the possibility of using artificial intelligence for quick and reliable diagnostic workup. In this manuscript, we provide a concise review of the literature regarding the efficacy of remote otoscopy, as well as recent efforts on the use of artificial intelligence in aiding otologic diagnoses., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objective: Otologic diseases are common in all age groups and can significantly impair the function of this important sensory organ. To make a correct diagnosis, the correct handling of the otoscope and a correctly performed examination are essential. A virtual reality simulator could make it easier to teach this difficult-to-teach skill. The aim of this study was to assess the face, content, and construct validity of the novel virtual reality otoscopy simulator and the applicability to otologic training., Study Design: Face and content validity was assessed with a questionnaire. Construct validity was assessed in a prospectively designed controlled trial., Setting: Training for medical students at a tertiary referral center., Method: The questionnaire used a 6-point Likert scale. The otoscopy was rated with a modified Objective Structured Assessment of Technical Skills. Time to complete the task and the percentage of the assessed eardrum surface were recorded., Results: The realism of the simulator and the applicability to medical training were assessed across several items. The ratings suggested good face and content validity as well as usefulness and functionality of the simulator. The otolaryngologists significantly outperformed the student group in all categories measured (P < .0001), suggesting construct validity of the simulator., Conclusion: In this study, we could demonstrate face, content, and construct validity for a novel high-fidelity virtual reality otoscopy simulator. The results encourage the use of the otoscopy simulator as a complementary tool to traditional teaching methods in a curriculum for medical students.

Objective: The ai/m of this study was to compare the self-reported confidence of novices in using a smartphone-enabled video otoscope, a microscope and loupes for ear examination and external ear canal procedures., Method: Medical students (n = 29) undertook a pre-study questionnaire to ascertain their knowledge of techniques for otoscopy and aural microsuction. Participants underwent teaching on ear anatomy, examination and procedural techniques using a microscope, loupes and smartphone-enabled video otoscopes. Confidence and preference using each modality was rated using a Likert-like questionnaire., Results: After teaching, all modalities demonstrated a significant increase in confidence in ear examination (p < 0.0001). Confidence in using the smartphone-enabled otoscope post-teaching was highest (p = 0.015). Overall, the smartphone-enabled video otoscope was the preferred method in all other parameters assessed including learning anatomy or pathology (51.72 per cent) and learning microsuction (65.51 per cent)., Conclusion: Smartphone-enabled video otoscopes provide an alternative approach to ear examination and aural microsuction that can be undertaken outside of a traditional clinical setting and can be used by novices.

Case Description: A 9-year-old spayed female Maine Coon cat was presented at the University of Veterinary Medicine Vienna for further investigation of chronic nonpruritic bilateral ear disease and unilateral Horner syndrome., Clinical Findings: Physical examination and otoscopy findings included right sided Horner syndrome, a right head tilt of approximately 20° and a small pink nodule in the right and several smaller nodules in the left proximal horizontal external ear canal. Computed tomography and magnetic resonance imaging revealed soft tissue opacity material in both middle ear cavities, the caudal portion of the nasal cavity, the left nasopharyngeal meatus and the right frontal sinus. Via videootoscopy, 2 multilobular and several flat nodules were detected in the proximal right horizontal external ear canal and in the left tympanic bulla, respectively. Histopathological examination confirmed the diagnosis of cholesterol granulomas., Treatment and Outcome: All otic cholesterol granulomas (CGs) were removed via video-otoscopy (VO), and topical treatment was initiated in addition to oral prednisolone. After the histopathological confirmation, negative microbial cultures from the middle ear cavities, and the remission of the symptoms by the first recheck, topical, and systemic treatment were discontinued. A follow-up 6 months later, did not reveal any recurrence of the CGs., Clinical Relevance: To our knowledge, this is the first case of bilateral CGs diagnosed with a combination of CT, MRI, VO, and histopathology and removed minimal invasively via VO, without a need for ventral bulla osteotomy, which led to complete remission of all signs and no relapse until the follow up 6 months later.

Objectives: Handheld otoscopy is the standard tool used to teach ear examination in undergraduate and postgraduate medical education. Previous studies have shown that the undergraduate teaching of ear examination with handheld otoscopes is inadequate, resulting in low self-reported levels of student confidence in their diagnostic skills. With the increase in popularity of endoscopic ear surgery, an increasing number of otolaryngologists are using endoscopes for office examinations of the ear due to the method's superior visualization and excellent image qualities. However, medical students usually do not receive exposure to endoscopic ear examination during their undergraduate curriculum. The aim of this study is to assess our preliminary experience with teaching endoscopic ear examination to undergraduate medical students. Methods: A two-hour-long pilot practical course on basic ear examination was administered to undergraduate medical students with little to no previous experience with ear examination. The course was designed to minimize the duration of campus attendance and patient contact during the COVID-19 pandemic. The course included theoretical didactics, exemplary digital endoscopic images and peer physical practice of ear examination with both a handheld otoscope and a 0-degree endoscope. At the end of the course, the students completed a survey questionnaire consisting of eight questions mainly relating to their subjective confidence level with ear examination using either handheld otoscopes or endoscopes and their overall preference for either examination tool. Results: Most students expressed a preference for ear examination with endoscopes over that with handheld otoscopes and reported an improved confidence level in their diagnostic ability with the former technique. The vast majority of students supported the teaching of endoscopic ear examination to future medical students. Conclusion: The findings of this pilot project report and survey study support the early exposure of novice medical learners to endoscopic ear examination, which may help improve the confidence and diagnostic skill of medical students with regard to ear examination. The findings may have implications for the undergraduate teaching of ear examination in the post-COVID-19 era., Competing Interests: The authors declare that they have no competing interests., (Copyright © 2022 Bassiouni et al.)

The smartphone enabled otoscope (SEO) provides an opportunity for telemedicine and enhancing teaching of otoscopy. We describe our preliminary experience with the use of one such inexpensive device bought from an online store. It is a simple and feasible procedure which patients can perform on themselves (or guardians on their wards) after minimal training. The resolution of the image is adequate for follow up through teleconsultation. It is also a good teaching tool as it enables the sharing of views.

Background: Acute otitis media is often misdiagnosed. Pediatric trainees learn otoscopy from supervisors who cannot concurrently view the eardrum. Digital, smartphone otoscopes show promise to improve the visibility and learning due to a concurrent view by trainees and supervisors. We aimed to determine whether use of digital otoscopes improved accuracy of the ear exams between medical trainees and their supervisors, compared to using traditional otoscopes. Secondarily, we evaluated whether the use of digital otoscopes reduced the number of repeat ear examinations by supervisors, changed the trainee's confidence in their exam findings, and led to differences in the rate of antibiotics prescribed., Methods: This study was a randomized controlled trial comparing use of a digital otoscope to a traditional otoscope, in a pediatric emergency department and primary care clinic in an academic tertiary care children's center. We used a modified validated image-based grading scale to compare accuracy of the ear exam between trainees and supervisors. Surveys documented modified OMgrade scores, frequency of supervisor exams, trainee confidence on a 5-point Likert scale, and antibiotic prescriptions. Inter-rater agreement of trainees and supervisors, the number of supervisor confirmatory examinations performed, trainee confidence, and antibiotic prescription rates were evaluated., Results: Amongst 188 children, 375 ears were examined by 85 trainees and 22 supervisors. The digital otoscope was utilized in 92 (48.9%) exams and 96 (51.1%) used the traditional otoscope. Accuracy of ear exam findings between trainees and supervisors improved by 11.2% (95% CI: 1.5, 21.8%, p = 0.033) using the Cellscope Oto (74.8%, 95% CI: 67.3, 82.1%) compared to the traditional otoscope (63.5%, 95% CI: 56.7, 70.4%). Fewer repeat supervisor exams were performed in the digital otoscope group (27.2%) vs. the traditional otoscope group (97.9%) (p < 0.001). There was no difference in mean trainee confidence in their examination (p = 0.955) or antibiotic prescription rates when using digital versus traditional otoscopes (p = 0.071)., Conclusions: Utilization of a digital otoscope resulted in increased accuracy of the ear exam between trainees and supervisors, and fewer total number of examinations performed on a given child. Compared to a traditional otoscope, a digital otoscope may be a more efficient and effective diagnostic tool., Competing Interests: Declaration of Competing Interest Cellscope, Inc. provided a portion of the Cellscope Oto devices at no cost after they were no longer available on the market. CellScope, Inc. was not involved in study design, data collection, analysis, conclusions, or publication decisions. None of the study contributors have any financial or other interests in Cellscope, Inc., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objectives/hypothesis: To create a new strategy for monitoring pediatric otitis media (OM), we developed a brief, reliable, and objective method for automated classification using convolutional neural networks (CNNs) with images from otoscope., Study Design: Prospective study., Methods: An otoscopic image classifier for pediatric OM was built upon the idea of deep learning and transfer learning using the two most widely used CNN architectures named Xception and MobileNet-V2. Otoscopic images, including acute otitis media (AOM), otitis media with effusion (OME), and normal ears were obtained from our institution. Among qualified otoendoscopic images, 10,703 images were used for training, and 1,500 images were used for testing. In addition, 102 images captured by smartphone with WI-FI connected otoscope were used as a prospective test set to evaluate the model for home screening and monitoring., Results: For all diagnoses combined in the test set, the Xception model and the MobileNet-V2 model had similar overall accuracies of 97.45% (95% CI 96.81%-97.94%) and 95.72% (95% CI 95.12%-96.16%). The overall accuracies of two models with smartphone images were 90.66% (95% CI 90.21%-90.98%) and 88.56% (95% CI 87.86%-90.05%). The class activation map results showed that the extracted features of smartphone images were the same as those of otoendoscopic images., Conclusions: We have developed deep learning algorithms for the successfully automated classification of pediatric AOM and OME with otoscopic images. With a smartphone-enabled wireless otoscope, artificial intelligence may assist parents in early detection and continuous monitoring at home to decrease the visit frequencies., Level of Evidence: NA Laryngoscope, 131:E2344-E2351, 2021., (© 2020 The American Laryngological, Rhinological and Otological Society, Inc.)

Otitis media, a common disease marked by the presence of fluid within the middle ear space, imparts a significant global health and economic burden. Identifying an effusion through the tympanic membrane is critical to diagnostic success but remains challenging due to the inherent limitations of visible light otoscopy and user interpretation. Here we describe a powerful diagnostic approach to otitis media utilizing advancements in otoscopy and machine learning. We developed an otoscope that visualizes middle ear structures and fluid in the shortwave infrared region, holding several advantages over traditional approaches. Images were captured in vivo and then processed by a novel machine learning based algorithm. The model predicts the presence of effusions with greater accuracy than current techniques, offering specificity and sensitivity over 90%. This platform has the potential to reduce costs and resources associated with otitis media, especially as improvements are made in shortwave imaging and machine learning.

Objective: To emphasize the benefits of tele-otology in community screening of patients with ear diseases., Methods: A retrospective study of all patients screened and treated under the Shruti tele-otology program between 2013 and 2019 was conducted. It involved screening, diagnosis, medical management, surgical intervention, and rehabilitation using hearing aid. The study focused on underprivileged and underserved community of rural and urban slums across 12 states of India. The study was conducted using a telemedicine device called ENTraview, that is, a camera-enabled android phone integrated with an otoscope and audiometry screening., Result: A total of 810 746 people were screened, and incidence of various ear diseases was recorded. Ear problems were found in 265 615 (33%) patients, of which 151 067 (57%) had impacted wax, 46 792(18%) had chronic suppurative otitis media, 27 875 (10%) had diminished hearing, 12 729 (5%) had acute otitis media and acute suppurative otitis media (ASOM), and 27 152 (10%) had problems of foreign body, otomycosis, and so on. Of the total 265 615 referred patients, 20 986 (8%) reported for treatment and received treatment at a significantly reduced cost through Shruti program partners. The conversion rate of nonsurgical and surgical procedure was also compared, and it was found that, while 9% of the patients opted for nonsurgical treatment, only 3% opted for surgery in the intervention group giving a significant P value of .00001., Conclusion: The potential for telemedicine to reduce inequalities in health care is immense but remains underutilized. Shruti has largely been able to bridge this gap as it is an innovative, fast, and effective programs that address the ear ailment in the community.

Objectives/hypothesis: With the increasing emphasis on developing effective telemedicine approaches in Otolaryngology, this study explored whether a single composite image stitched from a digital otoscopy video provides acceptable diagnostic information to make an accurate diagnosis, as compared with that provided by the full video., Study Design: Diagnostic survey analysis., Methods: Five Ear, Nose, and Throat (ENT) physicians reviewed the same set of 78 digital otoscope eardrum videos from four eardrum conditions: normal, effusion, retraction, and tympanosclerosis, along with the composite images generated by a SelectStitch method that selectively uses video frames with computer-assisted selection, as well as a Stitch method that incorporates all the video frames. Participants provided a diagnosis for each item along with a rating of diagnostic confidence. Diagnostic accuracy for each pathology of SelectStitch was compared with accuracy when reviewing the entire video clip and when reviewing the Stitch image., Results: There were no significant differences in diagnostic accuracy for physicians reviewing SelectStitch images and full video clips, but both provided better diagnostic accuracy than Stitch images. The inter-reader agreement was moderate., Conclusions: Equal to using full video clips, composite images of eardrums generated by SelectStitch provided sufficient information for ENTs to make the correct diagnoses for most pathologies. These findings suggest that use of a composite eardrum image may be sufficient for telemedicine approaches to ear diagnosis, eliminating the need for storage and transmission of large video files, along with future applications for improved documentation in electronic medical record systems, patient/family counseling, and clinical training., Level of Evidence: 3 Laryngoscope, 131:E1668-E1676, 2021., (© 2020 American Laryngological, Rhinological and Otological Society Inc, "The Triological Society" and American Laryngological Association (ALA).)

Competing Interests: Competing interests The BMJ has judged that there are no disqualifying financial ties to commercial companies. The authors declare the following other interests: none. Further details of The BMJ policy on financial interests are here: https://www.bmj.com/about-bmj/resources-authors/forms-policies-and-checklists/declaration-competing-interests Provenance and peer review: Commissioned, based on an idea from the author. Externally peer reviewed.

Objective: To evaluate the efficacy of acellular collagen scaffold (ACS) in combination with basic fibroblast growth factor (bFGF) for the repair of traumatic tympanic membrane (TM) perforation in a rat model., Study Design: A prospective controlled animal study in a rat model of traumatic TM perforation., Setting: Tertiary medical center., Subjects and Methods: Sprague-Dawley rats (N = 84) with unilateral traumatic perforation of the right TMs were randomized to receive ACS, bFGF, ACS in combination with bFGF (ACS/bFGF), or nothing (spontaneous healing without any interventions as a control group). The healing outcomes were evaluated by otoscopy, optical coherence tomography, histology, and transmission electron microscopy at 1, 2, and 4 weeks postoperatively. The hearing outcomes were assessed with auditory brainstem response testing., Results: ACS/bFGF resulted in higher perforation closure rates at an earlier stage than spontaneous healing, ACS, and bFGF. Based on histology, optical coherence tomography, and transmission electron microscopy, a trilaminar structure and uniform thickness with mature, densely packed collagen fibers were seen in the ACS/bFGF group. Auditory brainstem response evaluation also showed that ACS/bFGF treatment promoted faster functional hearing recovery as compared with the control group., Conclusions: ACS is an effective TM scaffold and a carrier for bFGF. ACS/bFGF improves the TM closure rate, results in better-reconstructed TMs, and improves hearing. ACS/bFGF serves as a potential substitute for TM perforations in clinical settings.

Background: Microscopic type-1 tympanoplasty (T1T) is a classical method for the treatment of chronic otitis media. However, it has its limitations. The development of otoendoscopy provided a new method for T1T., Objective: To investigate the difference between endoscopic T1T and microscopic T1T., Material and Methods: Seventy-four patients who underwent T1T were evaluated retrospectively. About 52 cases underwent endoscopic T1T, and 22 cases accepted microscopic T1T. Parameters including operative duration, incision size, graft site, duration of postoperative hospitalization, visual analog scale (VAS) score, complications, hearing improvement, and expenses were compared., Results: Operative duration of endoscopic T1T (47.0 ± 8.2 min) was shorter than microscopic T1T (58.0 ± 9.3 min) ( p  < .05). The VAS score under endoscopic T1T (1.5 ± 0.2) was lower than microscopic T1T (5.6 ± 0.4) ( p  < .05). There was no complication during endoscopic T1T, but damage to the chorda tympani nerve (one case) was noted for microscopic T1T. There was no difference in hearing improvement between endoscopic (15.0 ± 1.5 dB) and microscopic T1T (16.0 ± 1.1 dB). Duration of postoperative hospitalization and expenses were lower for endoscopic T1T., Conclusions and Significance: Endoscopic T1T is a minimally invasive surgery with similar graft success rate, comparable hearing improvement, fast recovery, low cost, and high patient satisfaction compared to microscopic T1T.

Objective: To assess the effect on hearing of non-functioning ventilation tubes due to blockage during the first six months post-operatively, using UK national guidelines., Method: A prospective, observational study was conducted on 37 children who underwent bilateral ventilation tube insertion. Air and bone conduction thresholds were measured before and following surgery, and at one, three and six months post-operatively. Tube non-function was assessed by tympanometry supported by otoscopy., Results: Post-operatively, an average of 21 per cent of ventilation tubes were non-functioning. Ears with non-functioning tubes had significantly (p = 0.0001) poorer mean air conduction thresholds than functioning tubes, with a magnitude of 6 dB HL. Ears with otorrhoea were most affected (15 per cent). At any one visit, the air-bone gap was closed to 10 dB or less in 76 per cent of ears. Non-functioning tubes reduced this to 56 per cent. Compared with tympanometry, otoscopy underdiagnosed tube non-function due to blockage by 22 per cent., Conclusion: Non-functioning of ventilation tubes occurs frequently and can be missed on otoscopy. Although it is associated with poorer air conduction thresholds, the magnitude of this difference is unlikely to warrant further intervention unless there is otorrhoea or recurrence of bilateral hearing impairment.

Competing Interests: Competing interests We have read and understood the BMJ policy on declaration of interests and declare the following interests: RPV is co-investigator and collaborator in trials comparing topical with oral antibiotics for children with acute otitis media and acute ear discharge funded by the Netherlands Organisation for Health Research and Development (ZonMw) and the NIHR HTA programme and principal investigator on a grant proposal for a trial comparing anaesthetic ear drops to usual care in children with acute otitis media to ZonMw (pending funding decision). AGMS is co-investigator in trials comparing topical with oral antibiotics for children with acute otitis media and acute ear discharge funded by the Netherlands Organisation for Health Research and Development (ZonMw) and the NIHR HTA programme and on a grant proposal for a trial comparing anaesthetic ear drops with usual care in children with acute otitis media to ZonMw (pending funding decision). As director of the NIHR UCLH BRC Hearing Theme and national specialty lead of NIHR CRN ENT, AGMS advises companies on the design and delivery of clinical trials in the field of otitis media and hearing loss and serves on the Scientific Advisory Board of Novus Therapeutics. MvdH is a patient and public involvement member in a trial comparing topical with oral antibiotics for children with acute otitis media and acute ear discharge funded by the Netherlands Organisation for Health Research and Development (ZonMw) and patient and public involvement member in a grant proposal for a trial comparing anaesthetic ear drops with usual care in children with acute otitis media to ZonMw (pending funding decision). ADH is chief investigator and collaborator of trials comparing topical with oral antibiotics for children with acute otitis media and acute ear discharge funded by the NIHR HTA programme and the Netherlands Organisation for Health Research and Development (ZonMw) and collaborates on a grant proposal for a trial comparing anaesthetic ear drops with usual care in children with acute otitis media to ZonMw (pending funding decision). Provenance and peer review: commissioned, based on an idea from the author; externally peer reviewed

SARS-CoV-2, the novel coronavirus resulting in the present COVID-19 pandemic, has increased the otolaryngologist's reliance on telemedicine to manage outpatient pathology. The nature of telemedicine, however, limits a provider's ability to obtain a comprehensive physical examination, specifically of the tympanic membrane. Various smartphone-based otoscopic attachments are now available that facilitate patient-obtained otoscopic image capture of the tympanic membrane. Here, we present 3 cases in which a patient-purchased, over-the-counter otoscope was utilized to alter otologic management during the time of social distancing. Further research is necessary to improve our understanding the safety and efficacy of patient-based "at-home" otoscopic examination and to optimize the use of these devices.

Multispectral imaging has recently shown good performance in determining information about physiology, morphology, and composition of tissue. In the endoscopy field, many researches have shown the ability to apply multispectral or narrow-band images in surveying vascular structure based on the interaction of light wavelength with tissue composition. However, there has been no mention to assess the contrast between other components in the middle ear such as the tympanic membrane, malleus, and the surrounding area. Using CT, OCT, or ODT can clearly describe the tympanic membrane structure; nevertheless, these approaches are expensive, more complex, and time-consuming and are not suitable for most common middle ear diagnoses. Here, we show the potential of using the multispectral imaging technique to enhance the contrast of the tympanic membrane compared to the surrounding tissue. The optical absorption and scattering of biological tissues constituents are not the same at different wavelengths. In this pilot study, multiwavelength images of the tympanic membrane were captured by using the otoscope with LED light source at three distinct spectral regions: 450 nm, 530 nm, and 630 nm. Subsequently, analyses of the intensity images as well as the histogram of these images point out that the 630 nm illumination image features an evident contrast in the intensity of the tympanic membrane and malleus compared to the surrounding area. Analysis of such images could facilitate the boundary determination and segmentation of the tympanic membrane (TM) with high precision., Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this paper., (Copyright © 2020 Tien Tran Van et al.)

Objectives: To introduce an inexpensive method for objectively evaluating otoscopic visualization of the tympanic membrane wherein learners match what they visualize in standardized patients to tympanic membrane photographs., Methods: Two standardized patients had photographs taken of their tympanic membranes using a commercially-available digital otoscope. First- and third-year medical students were asked to perform an otoscopic examination on each patient using a conventional handheld otoscope and to match what they saw with the correct tympanic membrane image among distractor photographs belonging to other patients. The ability of students to match the standardized patients' tympanic membrane to the correct photographs was assessed before and after a didactic training session. These measurements were compared between the two cohort groups for construct validity., Results: Fifty-one first-year medical students (with no previous otoscopy experience) and 44 third-year medical students (with otoscopy experience from completing pediatric and family medicine clinical clerkships) were recruited to voluntarily participate in this study. At baseline, a larger percentage of third-year students correctly matched both tympanic membranes compared to first-year students (27% vs 8%, P  < .01). After otoscopy training, correct matching of both tympanic membranes significantly improved among both first-year students (8-31%, P  < .01) and third-year students (27-54%, P  < .01)., Conclusion: The use of tympanic membrane photographs from standardized patients provides a novel technique for objectively assessing proficiency in otoscopic visualization of the middle ear. The concept is low cost, uses live patients, and can be easily implemented in pre-clinical instruction and beyond.

Objective: (1) To test the feasibility of the Rapid Assessment of Hearing Loss (RAHL) survey protocol in Malawi (Ntcheu); (2) To estimate the prevalence and probable causes of hearing loss (adults 50+). Design: Cross-sectional population-based survey. Study sample: Clusters ( n =  38) were selected using probability-proportionate-to-size-sampling. Within each cluster, 30 people aged 50+ were selected using compact-segment-sampling. All participants completed smartphone-based audiometry (hearTest). Prevalence was estimated using WHO definitions (PTA of thresholds 0.5, 1, 2, 4 kHz in the better ear of >25 dB HL (any) and >40 dB HL (≥moderate)). Otoscopy and questionnaire were used to assess probable causes. Participants with hearing loss and/or ear disease were asked about care-seeking and barriers. Results: Four teams completed the survey in 24 days. 1080 of 1153 (93.7%) participants were examined. The median time to complete the protocol was 24 min/participant. Prevalence of hearing loss was 35.9% (95% CI = 31.6-40.2) (any level); and 10.0% (95% CI = 7.9-12.5) (≥moderate). The majority was classified as probable sensorineural. Nearly one third of people (30.9%) needed diagnostic audiology services and possible hearing aid fitting. Hearing aid coverage was <1%. Lack of perceived need was a key barrier. Conclusion: The RAHL is simple, fast and provides information about the magnitude and probable causes of hearing loss to plan services.

Auditory dysfunction is the most prevalent injury associated with blast overpressure exposure (BOP) in Warfighters and civilians, yet little is known about the underlying pathophysiological mechanisms. To gain insights into these injuries, an advanced blast simulator was used to expose rats to BOP and assessments were made to identify structural and molecular changes in the middle/inner ears utilizing otoscopy, RNA sequencing (RNA-seq), and histopathological analysis. Deficits persisting up to 1 month after blast exposure were observed in the distortion product otoacoustic emissions (DPOAEs) and the auditory brainstem responses (ABRs) across the entire range of tested frequencies (4-40 kHz). During the recovery phase at sub-acute time points, low frequency (e.g. 4-8 kHz) hearing improved relatively earlier than for high frequency (e.g. 32-40 kHz). Perforation of tympanic membranes and middle ear hemorrhage were observed at 1 and 7 days, and were restored by day 28 post-blast. A total of 1,158 differentially expressed genes (DEGs) were significantly altered in the cochlea on day 1 (40% up-regulated and 60% down-regulated), whereas only 49 DEGs were identified on day 28 (63% up-regulated and 37% down-regulated). Seven common DEGs were identified at both days 1 and 28 following blast, and are associated with inner ear mechanotransduction, cytoskeletal reorganization, myelin development and axon survival. Further studies on altered gene expression in the blast-injured rat cochlea may provide insights into new therapeutic targets and approaches to prevent or treat similar cases of blast-induced auditory damage in human subjects.

Objective: Access to otolaryngology is limited by lengthy wait lists and lack of specialists, especially in rural and remote areas. The objective of this study was to use an automated machine learning approach to build a computer vision algorithm for otoscopic diagnosis capable of greater accuracy than trained physicians. This algorithm could be used by primary care providers to facilitate timely referral, triage, and effective treatment., Methods: Otoscopic images were obtained from Google Images (Google Inc., Mountain View, CA), from open access repositories, and within otolaryngology clinics associated with our institution. After preprocessing, 1,366 unique images were uploaded to the Google Cloud Vision AutoML platform (Google Inc.) and annotated with one or more of 14 otologic diagnoses. A consensus set of labels for each otoscopic image was attained, and a multilabel classifier architecture algorithm was trained. The performance of the algorithm on an 89-image test set was compared to the performance of physicians from pediatrics, emergency medicine, otolaryngology, and family medicine., Results: For all diagnoses combined, the average precision (positive predictive value) of the algorithm was 90.9%, and the average recall (sensitivity) was 86.1%. The algorithm made 79 correct diagnoses with an accuracy of 88.7%. The average physician accuracy was 58.9%., Conclusion: We have created a computer vision algorithm using automated machine learning that on average rivals the accuracy of the physicians we tested. Fourteen different otologic diagnoses were analyzed. The field of medicine will be changed dramatically by artificial intelligence within the next few decades, and physicians of all specialties must be prepared to guide that process., Level of Evidence: NA Laryngoscope, 130:1408-1413, 2020., (© 2019 The American Laryngological, Rhinological and Otological Society, Inc.)