Pediatric tympanostomy tube assessment via deep learning.

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.

Bone cement repair of malleus handle fractures: Intraoperative video and case report of two patients.

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.

Registration of preoperative temporal bone CT-scan to otoendoscopic video for augmented-reality based on convolutional neural networks.

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.

"Seeing inside out": revealing the effectiveness of otoscopy training in virtual reality enhanced practical exams - a randomized controlled trial.

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.

Feasibility of a Video Otoscope for Diagnosis of Otologic Pathology in the Pediatric Emergency Department.

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.

Tympanic membrane perforations cannot be reliably detected using computed tomography based on 15 cadaver dogs.

The integrity of the tympanic membrane is an important factor when deciding treatment and therapeutic recommendations for dogs with ear disease; however, otoscopic examination may be difficult to perform due to features of external ear canal disease or patient compliance. CT is useful for the evaluation of middle ear disease, including cases in which middle ear disease is detected incidentally. The tympanic membrane is detectable using CT, but anecdotally, apparent focal defects or discontinuities of the tympanic membrane are often seen in patients with and without ear disease. The purpose of this prospective, observer agreement study was to determine if perforations of the tympanic membrane are reliably detectable on CT. Fifteen cadaver dogs underwent CT and video otoscopy to verify the integrity of each tympanic membrane. Cadavers were randomly assigned to have the tympanic membranes left intact or to undergo a myringotomy on either the left, the right, or both sides. CT was performed immediately following the myringotomies. Four blinded evaluators evaluated the pre- and post-myringotomy scans for a total of 30 scans (60 tympanic membranes). Average accuracy was low (44%), and interobserver agreement for all four evaluators was fair. Although the tympanic membrane is visible on CT, perforations of the tympanic membrane are unlikely to be accurately detected or excluded. The appearance of an intact tympanic membrane or defect in the membrane on CT should not be used as criteria to guide clinical treatment recommendations based on this cadaver model.

Balloon dilation for persistent unilateral chronic obstructive Eustachian tube dysfunction is effective: a prospective multicentre study.

PURPOSE: Balloon dilatation of the Eustachian tube (BDET) is an option for treating chronic obstructive Eustachian tube dysfunction (COETD). In this prospective multicentric study, the main objective was to evaluate the results of BDET in unilateral COETD refractory to medical treatment. METHODS: Adults with unilateral COETD whose Eustachian Tube Score (ETS) was less than 5 despite medical pressure therapy were included. The primary endpoint was the change in ETS measured at 2, 6, and 12 months after BDET. Secondary objectives were the evolution of clinical symptoms assessed by the Eustachian Tube Questionnaire (ETDQ-7), audiometry, tympanometry, and otoscopy changes after BDET. RESULTS: Twenty-eight patients were included between May 2014 and December 2017 and were treated with BDET without adverse effects in three different referral centers. Population's median age was 52 (Q25; Q75: 24, 82) years. The median follow-up time was 381 (Q25; Q75: 364; 418) days. The median ETS was 2 (Q25; Q75: 1; 4) before BDET. There was a significant improvement in ETS at 2 and 6 months and 1 year after BDET (score at 1 year: 6 (Q25; Q75: 2; 8) (p < 0.0001)). There was a significant, sustained improvement in the ETDQ-7 with a score of 4.21 (Q25; Q75-3.50; 4.79) before BDET and 3.43 (Q25; Q75-2.43; 4.14) (p = 0.0012) at 1 year. There was a suggestive improvement in tympanometry results at 1 year (p = 0.025). CONCLUSION: BDET provides an improvement in symptoms and objective measures assessed at 1 year in patients with COETD who have failed medical treatment. TRIAL REGISTRATION: NCT02123277 (April 25, 2014).

Comparative validity of three simulation platforms for objective assessment of otoscopy skills.

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.

Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm.

OBJECTIVES: Diseases of the middle ear can interfere with normal sound transmission, which results in conductive hearing loss. Since video pneumatic otoscopy (VPO) findings reveal not only the presence of middle ear effusions but also dynamic movements of the tympanic membrane and part of the ossicles, analyzing VPO images was expected to be useful in predicting the presence of middle ear transmission problems. Using a convolutional neural network (CNN), a deep neural network implementing computer vision, this preliminary study aimed to create a deep learning model that detects the presence of an air-bone gap, conductive component of hearing loss, by analyzing VPO findings. DESIGN: The medical records of adult patients who underwent VPO tests and pure-tone audiometry (PTA) on the same day were reviewed for enrollment. Conductive hearing loss was defined as an average air-bone gap of more than 10 dB at 0.5, 1, 2, and 4 kHz on PTA. Two significant images from the original VPO videos, at the most medial position on positive pressure and the most laterally displaced position on negative pressure, were used for the analysis. Applying multi-column CNN architectures with individual backbones of pretrained CNN versions, the performance of each model was evaluated and compared for Inception-v3, VGG-16 or ResNet-50. The diagnostic accuracy predicting the presence of conductive component of hearing loss of the selected deep learning algorithm used was compared with experienced otologists. RESULTS: The conductive hearing loss group consisted of 57 cases (mean air-bone gap = 25 ± 8 dB): 21 ears with effusion, 14 ears with malleus-incus fixation, 15 ears with stapes fixation including otosclerosis, one ear with a loose incus-stapes joint, 3 cases with adhesive otitis media, and 3 ears with middle ear masses including congenital cholesteatoma. The control group consisted of 76 cases with normal hearing thresholds without air-bone gaps. A total of 1130 original images including repeated measurements were obtained for the analysis. Of the various network architectures designed, the best was to feed each of the images into the individual backbones of Inception-v3 (three-column architecture) and concatenate the feature maps after the last convolutional layer from each column. In the selected model, the average performance of 10-fold cross-validation in predicting conductive hearing loss was 0.972 mean areas under the curve (mAUC), 91.6% sensitivity, 96.0% specificity, 94.4% positive predictive value, 93.9% negative predictive value, and 94.1% accuracy, which was superior to that of experienced otologists, whose performance had 0.773 mAUC and 79.0% accuracy on average. The algorithm detected over 85% of cases with stapes fixations or ossicular chain problems other than malleus-incus fixations. Visualization of the region of interest in the deep learning model revealed that the algorithm made decisions generally based on findings in the malleus and nearby tympanic membrane. CONCLUSIONS: In this preliminary study, the deep learning algorithm created to analyze VPO images successfully detected the presence of conductive hearing losses caused by middle ear effusion, ossicular fixation, otosclerosis, and adhesive otitis media. Interpretation of VPO using the deep learning algorithm showed promise as a diagnostic tool to differentiate conductive hearing loss from sensorineural hearing loss, which would be especially useful for patients with poor cooperation.

Otoscopy and tympanometry outcomes from the National Health and Nutrition Examination Survey (NHANES).

PURPOSE: The purpose of the study was to estimate the prevalence of conductive pathologies based on tympanometric and otoscopic findings in adults in the U.S. and examine relationships between abnormal findings and audiometrically defined or reported perceived hearing loss and tinnitus. MATERIALS AND METHODS: Data from 3409 individuals aged 20-69 years from the 1999-2000 and 2000-2002 cycles of the National Health and Nutrition Examination Survey (NHANES) were analyzed. Outcomes included report of ear tubes, self-perceived hearing loss, and tinnitus (yes or no). Otoscopy involved screening for presence of cerumen (ear wax) and physical abnormality for each ear. Ear-specific tympanometry included measures of middle ear pressure, external ear volume, tympanometric width, and admittance/compliance for each ear. Mean and prevalence estimates are provided applying sample weights. A multivariate ordinal regression model adjusting for age, sex, race/ethnicity, and education was used to examine relationships between otoscopy or tympanometry measures with hearing loss and tinnitus. RESULTS: Approximately 12% of the sample showed evidence of abnormal tympanometry and 12% showed evidence of abnormal otoscopy in at least one ear. Measured hearing loss was consistently related to tympanometry outcomes, in both univariate and adjusted models, but perceived hearing loss and tinnitus were not related to abnormal tympanometry or otoscopy. The most common reason for abnormal otoscopy was presence of excessive or impacted cerumen, representing an estimated 10% of the population. CONCLUSIONS: With 1 out of 10 adults having excessive cerumen, adults considering over-the-counter (OTC) hearings aids may benefit from an ear examination prior to purchase.

The reliability of video otoscopy recordings and still images in the asynchronous diagnosis of middle-ear disease.

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.

Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta-analysis.

OBJECTIVES: To summarise the accuracy of artificial intelligence (AI) computer vision algorithms to classify ear disease from otoscopy. DESIGN: Systematic review and meta-analysis. METHODS: Using the PRISMA guidelines, nine online databases were searched for articles that used AI computer vision algorithms developed from various methods (convolutional neural networks, artificial neural networks, support vector machines, decision trees and k-nearest neighbours) to classify otoscopic images. Diagnostic classes of interest: normal tympanic membrane, acute otitis media (AOM), otitis media with effusion (OME), chronic otitis media (COM) with or without perforation, cholesteatoma and canal obstruction. MAIN OUTCOME MEASURES: Accuracy to correctly classify otoscopic images compared to otolaryngologists (ground truth). The Quality Assessment of Diagnostic Accuracy Studies Version 2 tool was used to assess the quality of methodology and risk of bias. RESULTS: Thirty-nine articles were included. Algorithms achieved 90.7% (95%CI: 90.1-91.3%) accuracy to difference between normal or abnormal otoscopy images in 14 studies. The most common multiclassification algorithm (3 or more diagnostic classes) achieved 97.6% (95%CI: 97.3-97.9%) accuracy to differentiate between normal, AOM and OME in three studies. AI algorithms outperformed human assessors to classify otoscopy images achieving 93.4% (95%CI: 90.5-96.4%) versus 73.2% (95%CI: 67.9-78.5%) accuracy in three studies. Convolutional neural networks achieved the highest accuracy compared to other classification methods. CONCLUSION: AI can classify ear disease from otoscopy. A concerted effort is required to establish a comprehensive and reliable otoscopy database for algorithm training. An AI-supported otoscopy system may assist health care workers, trainees and primary care practitioners with less otology experience identify ear disease.

Potential of smartphone enabled otoscopy for teleconsultation and teaching.

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.

Ocular and auditory abnormalities in patients with vitiligo: a case-control study.

BACKGROUND: Vitiligo is characterized by the destruction of functional melanocytes in the skin. This destruction can target melanocytes anywhere in the body, in turn affecting the function of the organs in which the affected melanocytes reside. Melanocytes in the skin, uveal tract and ear are similar in their physiology and morphology, and share a common embryological origin. AIM: To study the association of vitiligo with ocular and auditory abnormalities. METHODS: This case-control study was carried out on 40 patients with vitiligo and 20 healthy controls (HCs). All patients and HCs underwent auditory examination (otoscopic examination and immittance audiometry to assess middle ear pressure and exclude tympanic membrane perforation; pure tone audiometry to assess peripheral hearing sensitivity; and transient evoked otoacoustic emissions to assess central hearing ability) and standard ocular examination including visual acuity test, slit lamp biomicroscopy and optical coherence tomography. RESULTS: Compared with controls, there was a significantly higher prevalence of hearing loss and ocular abnormalities in patients with vitiligo but no significant difference in visual acuity. CONCLUSION: Vitiligo is a systemic disease that can be associated with impairment of melanocyte function organs other than the skin, including the eyes and ears. The function of auditory melanocytes is related to the hearing process and thus their destruction could lead to hearing impairment. By contrast, ocular melanocytes do not play a direct role in detection or transfer of visual information, and thus should not affect vision. Vitiligo may be associated with ocular abnormalities and hearing loss.

Evaluation of digital otoscopy in pediatric patients: A prospective randomized controlled clinical trial.

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.

A randomised trial to assess the educational benefit of a smartphone otoscope in undergraduate medical training.

PURPOSE: Competent otoscopy is a key otolaryngology skill for a broad range of medical careers, yet undergraduate's confidence to perform otoscopy is reported as low. Smartphone otoscopes have been suggested to improve undergraduates learning of normal eardrum anatomy because unlike the traditional otoscope, the learner and educator share the same image. This study aimed to evaluate whether a smartphone otoscope could enhance medical undergraduates recognition of common ear pathology. METHODS: 52 medical students were randomised into a standard group that used a traditional otoscope and an intervention group that used a smartphone otoscope. Both groups received a short didactic presentation on the recognition of common ear pathologies and were asked to diagnose four simulated pathologies. Both groups received feedback and guidance on how to better visualise the tympanic membrane. Force response items and 5-point Likert scales loaded on an electronic platform recorded their diagnosis and their perceptions towards the otoscope. RESULTS: The smartphone-group (n = 20) had higher overall rates of correct diagnosis compared to control (n = 22) (84% vs. 39%, p = < 0.001). Only the grommet station did not show a significant improvement between the two groups (100% vs. 91%, p = 0.49). 90% (n = 20) of participants felt the smartphone otoscope was preferential for their learning. The same number expressed that they want to use it in future learning. The remainder were indifferent. CONCLUSIONS: The smartphone otoscope enabled learners to better observe and recognise middle ear pathology. This popular learning tool has the potential to accelerate the learning curve of otoscopy and therefore improve the proficiency of future doctors at recognising middle ear diseases.

Content validity evidence for a simulation-based test of handheld otoscopy skills.

PURPOSE: At graduation from medical school, competency in otoscopy is often insufficient. Simulation-based training can be used to improve technical skills, but the suitability of the training model and assessment must be supported by validity evidence. The purpose of this study was to collect content validity evidence for a simulation-based test of handheld otoscopy skills. METHODS: First, a three-round Delphi study was conducted with a panel of nine clinical teachers in otorhinolaryngology (ORL) to determine the content requirements in our educational context. Next, the authenticity of relevant cases in a commercially available technology-enhanced simulator (Earsi, VR Magic, Germany) was evaluated by specialists in ORL. Finally, an integrated course was developed for the simulator based on these results. RESULTS: The Delphi study resulted in nine essential diagnoses of normal variations and pathologies that all junior doctors should be able to diagnose with a handheld otoscope. Twelve out of 15 tested simulator cases were correctly recognized by at least one ORL specialist. Fifteen cases from the simulator case library matched the essential diagnoses determined by the Delphi study and were integrated into the course. CONCLUSION: Content validity evidence for a simulation-based test of handheld otoscopy skills was collected. This informed a simulation-based course that can be used for undergraduate training. The course needs to be further investigated in relation to other aspects of validity and for future self-directed training.

A systematic review of remote otological assessment using video-otoscopy over the past 10 years: reliability and applications.

PURPOSE: This systematic review describes and evaluates the current literature on remote otological assessment using video-otoscopy with regards to reliability and potential applications. METHODS: Systematic review was conducted in accordance with the PRISMA statement. There was heterogeneity of included studies, so a descriptive analysis was undertaken. RESULTS: Seventeen studies were included for analysis conducted across a variety of healthcare settings. Overall, there was a trend towards acquisition of adequate images for diagnosis by non-otolaryngology-specialist facilitators with reasonable agreement between asynchronous images and controls; however, there was significant variation between the studies. CONCLUSION: Remote otological assessment using video-otoscopy shows potential as a safe and effective method for detecting the presence of ear disease in a wide range of healthcare settings. Barriers to the acquisition of adequate images include the presence of obstructing cerumen, and strategies to deal with this should be considered. Further work is required to evaluate endoscope-based systems to assess whether they will allow the acquisition of higher quality images.

Undergraduate audiology students' perceived competence and confidence in conducting otoscopic examination following video otoscopic training.

BACKGROUND: Emerging research indicates that video otoscopy can be used as a teaching tool to enhance students' ability to identify outer and middle ear pathologies. However, there is little research on the perceptions of audiology students regarding their competence and confidence following video otoscopic training, and how they view the use of video otoscopy as a teaching tool. Therefore, this study aimed to determine undergraduate (UG) audiology students' perceived competence and confidence in conducting otoscopy following training by video otoscopic examination. METHODS: A survey methodology with a cross sectional design was employed. An electronic questionnaire was distributed to all third and fourth year (senior) (N = 79) UG audiology students using Survey Monkey. Ethical approval and permission from relevant stakeholders were obtained. Data were analysed using both descriptive and inferential statistics. RESULTS: 60 % of the students felt competent in performing otoscopy, while 63.3 % felt less competent in interpreting otoscopic examination findings. 43.3 % felt they can confidently and competently identify outer ear pathologies. There was no association between the number of video otoscopic examinations performed and perceived competence or/and confidence. There was also no statistically significant relationship between year of study (e.g., third year versus fourth year) and perceived competence or/and confident (p = 0.7131). Almost all (97 %) students felt that video otoscopic training should continue to be part of the clinical training as it helped them enhance their skills in performing otoscopy. CONCLUSIONS: Current findings highlight the need to improve students' practical training, incorporating pathologic ears into the curriculum. These findings also highlight the importance of supplementing practical training methodologies with changing technological advancements, particularly where tele-audiology opportunities may exist.