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Otitis media (OM), a highly prevalent inflammatory middle-ear disease in children worldwide, is commonly caused by an infection, and can lead to antibiotic-resistant bacterial biofilms in recurrent/chronic OM cases. A biofilm related to OM typically contains one or multiple bacterial species. OCT has been used clinically to visualize the presence of bacterial biofilms in the middle ear. This study used OCT to compare microstructural image texture features from bacterial biofilms. The proposed method applied supervised machine-learning-based frameworks (SVM, random forest, and XGBoost) to classify multiple species bacterial biofilms from in vitro cultures and clinically-obtained in vivo images from human subjects. Our findings show that optimized SVM-RBF and XGBoost classifiers achieved more than 95% of AUC, detecting each biofilm class. These results demonstrate the potential for differentiating OM-causing bacterial biofilms through texture analysis of OCT images and a machine-learning framework, offering valuable insights for real-time in vivo characterization of ear infections., (© 2024 The Author(s). Journal of Biophotonics published by Wiley‐VCH GmbH.)

Background: Temporal bone computed tomography (CT) helps diagnose chronic otitis media (COM). However, its interpretation requires training and expertise. Artificial intelligence (AI) can help clinicians evaluate COM through CT scans, but existing models lack transparency and may not fully leverage multidimensional diagnostic information., Objective: We aimed to develop an explainable AI system based on 3D convolutional neural networks (CNNs) for automatic CT-based evaluation of COM., Methods: Temporal bone CT scans were retrospectively obtained from patients operated for COM between December 2015 and July 2021 at 2 independent institutes. A region of interest encompassing the middle ear was automatically segmented, and 3D CNNs were subsequently trained to identify pathological ears and cholesteatoma. An ablation study was performed to refine model architecture. Benchmark tests were conducted against a baseline 2D model and 7 clinical experts. Model performance was measured through cross-validation and external validation. Heat maps, generated using Gradient-Weighted Class Activation Mapping, were used to highlight critical decision-making regions. Finally, the AI system was assessed with a prospective cohort to aid clinicians in preoperative COM assessment., Results: Internal and external data sets contained 1661 and 108 patients (3153 and 211 eligible ears), respectively. The 3D model exhibited decent performance with mean areas under the receiver operating characteristic curves of 0.96 (SD 0.01) and 0.93 (SD 0.01), and mean accuracies of 0.878 (SD 0.017) and 0.843 (SD 0.015), respectively, for detecting pathological ears on the 2 data sets. Similar outcomes were observed for cholesteatoma identification (mean area under the receiver operating characteristic curve 0.85, SD 0.03 and 0.83, SD 0.05; mean accuracies 0.783, SD 0.04 and 0.813, SD 0.033, respectively). The proposed 3D model achieved a commendable balance between performance and network size relative to alternative models. It significantly outperformed the 2D approach in detecting COM (P≤.05) and exhibited a substantial gain in identifying cholesteatoma (P<.001). The model also demonstrated superior diagnostic capabilities over resident fellows and the attending otologist (P<.05), rivaling all senior clinicians in both tasks. The generated heat maps properly highlighted the middle ear and mastoid regions, aligning with human knowledge in interpreting temporal bone CT. The resulting AI system achieved an accuracy of 81.8% in generating preoperative diagnoses for 121 patients and contributed to clinical decision-making in 90.1% cases., Conclusions: We present a 3D CNN model trained to detect pathological changes and identify cholesteatoma via temporal bone CT scans. In both tasks, this model significantly outperforms the baseline 2D approach, achieving levels comparable with or surpassing those of human experts. The model also exhibits decent generalizability and enhanced comprehensibility. This AI system facilitates automatic COM assessment and shows promising viability in real-world clinical settings. These findings underscore AI's potential as a valuable aid for clinicians in COM evaluation., Trial Registration: Chinese Clinical Trial Registry ChiCTR2000036300; https://www.chictr.org.cn/showprojEN.html?proj=58685., (©Binjun Chen, Yike Li, Yu Sun, Haojie Sun, Yanmei Wang, Jihan Lyu, Jiajie Guo, Shunxing Bao, Yushu Cheng, Xun Niu, Lian Yang, Jianghong Xu, Juanmei Yang, Yibo Huang, Fanglu Chi, Bo Liang, Dongdong Ren. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 08.08.2024.)

Over the past 2 decades, the increasing availability of computed tomography (CT) and magnetic resonance imaging (MRI) as well as the growing professional expertise have significantly improved the diagnostics of middle and inner ear diseases in dogs and cats. In answering some of the diagnostic questions, CT and MRT demonstrate equivalent performance. For most questions, however, there are differences in the diagnostic performance due to the physical imaging properties of the 2 modalities.CT is more sensitive in demonstrating involvement of the bulla wall and is more effective for detecting abnormal content within the tympanic bulla. In addition, with CT it is often easier to guide tissue samplings. On the other hand, structural changes of the soft tissues of the skull, head, meninges, brain, and nerves are not or only insufficiently detectable on CT images. MRI is clearly superior here. Therefore, MRI is essential for the characterization of materials inside the bulla cavity and for demonstrating the extent of any central spread of otitis media (OM).In this image essay, CT and MRI features of OM and resulting secondary lesions described in the literature are analyzed and summarized. Own image examples are used for illustration. Information on the etiology, pathogenesis, pathomorphology, and clinical signs important for understanding these changes are presented in concise descriptions., Competing Interests: The authors declare no conflict of interest related to this report., (Thieme. All rights reserved.)

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.)

Objective: The facial sinus is a recess of the lateral retrotympanum located between the chorda tympani (ChT) and facial nerve (FN). Chronic otitis media with cholesteatoma often spreads from the pars flaccida to the facial sinus (FS). In stapedotomy, if an unfavorable ChT type is encountered, there is a need for removal of bone between the ChT and FN. The aim of the study was to assess FSs in adults and children according to Alicandri-Ciufelli classification, to measure FS width and depth in computed tomography scans, evaluate the correlation between measurements and different types of facial sinuses, and provide a clinical context of these findings., Methods: Cone Beam Computed Tomography (CBCT) of 130 adults and High Resolution Computed Tomography of 140 children were reviewed. The type of facial sinus was assessed according to Alicardi-Ciufelli's classification in different age groups. Width of entrance to facial sinus (FSW) and depth of FS (FSD) were evaluated among age groups., Results: Type A of FS is dominant in both adult and children populations included in the study. The average depth of FS was 2.31±1.43 mm and 2.01±0.90 in children and adults respectively. The width of FS was 3.99±0.69 and 3.39±0.98 in children and adults respectively. The depth of FS (FSD) presented significant deviations (ANOVA, p<0.05) among all three types and age groups. In 116/540 (21.5%) cases the value of FSD was below 1 mm., Conclusion: The qualitative classification of facial sinuses into types A, B and C, introduced by Alicandri-Ciufelli and al. is justified by statistically significant differences of depth between individual types of tympanic sinuses. Type A sinuses may be extremely shallow (<1 mm - As) or normal (>1 mm - An). Preoperative assessment of CT scans of the temporal bones gives crucial information about type and size of facial sinus. It may increase the safety of surgeries in this area and play a role in choosing an optimal approach and surgical tools., Competing Interests: Declaration of Competing Interest The authors declare that they have no conflict of interest., (Copyright © 2023. Published by Elsevier B.V.)

Objective: To clarify the relationship between Eustachian tube dimensions and chronic otitis media aetiology using temporal bone computed tomography., Methods: The data of 231 adults who had undergone surgery for unilateral chronic otitis media were reviewed retrospectively. Diseased and healthy ears were enrolled in groups 1 and 2, respectively. Group 1A included chronic otitis media with cholesteatoma ( n = 28) and group 1B included chronic otitis media without cholesteatoma ( n = 203). The Eustachian tube dimensions of groups 1 and 2 were compared, to clarify the relationship between the Eustachian tube dimensions and chronic otitis media aetiology. Groups 1A and 1B were compared to assess the effect of Eustachian tube dimensions on cholesteatoma development., Results: The Eustachian tube was shorter, narrower and located more horizontally in ears with chronic otitis media. No significant difference was found between groups 1A and 1B., Conclusion: Eustachian tube dimensions are closely related to chronic otitis media aetiopathology, but are not related to cholesteatoma development.

Objective: Since mastoid bone aeration is a pressure buffer for the middle ear, it can be accepted as a prognostic factor for tympanoplasty. Temporal bone computed tomography (TBCT) is a primary method for estimating mastoid aeration. However, due to the risk of radiation and its high cost, there is a need for a more straightforward, faster, and more reliable method in non-complicated chronic otitis media cases (COM). Tympanometric volume measurement might be used for this purpose. This study investigated tympanometric volume measurement's reliability in showing mastoid bone aeration by comparing tympanometric volume measurement with TBCT aeration grading., Patients and Methods: Preoperative tympanometric volume measurements were performed in patients who underwent audiological examination and temporal computerized tomography (CT) with the diagnosis of COM and sequela of COM without discharge for the last three months and were indicated for surgery. CT was classified into six grades: grade 0: there is no aeration, sclerotic mastoid; grade 1: pneumatization only in the mastoid antrum; grade 2: <25% pneumatization; grade 3: 25-50% pneumatization; grade 4: >50 pneumatization, grade 5: full pneumatization. Averages of tympanometric volume values were determined according to CT degrees., Results: 48 left and 52 right ears (n: 100) of 81 patients, 24 females and 57 males, were included in the study. The mean age was 37.69±13.38. Mastoid pneumatization grades of patients were 32 grade 0, 23 grade 1, 16 grade 2, 14 grade 3, 11 grade 4, and 4 grade 5, respectively. Each grade's mean tympanometric volume (mL) was grade 0: 1.1594, grade 1: 1.6991, grade 2: 2.2250, grade 3: 3.0471, grade 4: 4.0327, and grade 5: 2.9775., Conclusions: There is a statistically significant relationship between tympanometrically measured ear volume and mastoid degrees of pneumatization on temporal bone tomography. As the degree of mastoid aeration increases, the tympanometric volume also increases. According to the results of this study, tympanometric air volume can be used reliably in the preoperative evaluation of mastoid bone aeration in cases of simple COM without ear drainage.

Objectives: To investigate the normal growth and development of mastoid pneumatization volume from 5 to 12 months for pediatric otosurgeons., Study Design: Retrospective chart review., Setting: A tertiary referral center., Patients: This study evaluated age-dependent changes in mastoid air cell volume in 94 (188 ears) patients aged 5 to 12 months without a history of middle ear disease., Main Outcome Measures: Volume reconstruction was based on high-resolution computed tomography images using a three-dimensional reconstruction that is considered normal by radiologists. One-way analysis of variance and linear regression were used to determine the relationship between the volume and age in male and female subjects., Results: Forty-eight scans were from male and 46 from female patients. In the age group from 5 to 12 months, the mastoid pneumatization was independent of age ( p > 0.05). There were no significant volume differences found between the age groups. Neither male/female nor right/left significant differences were observed in relation to the algebraic data of the mastoid air cells volume ( p > 0.05)., Conclusions: Based on this analytic study, we are the first to use three-dimensional volume quantification based on high-resolution computed tomography in such large samples of early infancy. Because of its potential role as a susceptibility factor for otitis media and other otologic problems, it is important to describe the growth and development of mastoid pneumatization. More extensive clinical studies are needed to give a comprehensive insight into the air cell volume across age groups in different populations., Competing Interests: The authors disclose no conflicts of interest., (Copyright © 2023, Otology & Neurotology, Inc.)

Background: In this study, we aimed to compare the success rates of computed tomography image-based artificial intelligence models and magnetic resonance imaging in the diagnosis of preoperative cholesteatoma., Methods: The files of 75 patients who underwent tympanomastoid surgery with the diagnosis of chronic otitis media between January 2010 and January 2021 in our clinic were reviewed retrospectively. The patients were classified into the chronic otitis group without cholesteatoma (n=34) and the chronic otitis group with cholesteatoma (n=41) according to the presence of cholesteatoma at surgery. A dataset was created from the preoperative computed tomography images of the patients. In this dataset, the success rates of artificial intelligence in the diagnosis of cholesteatoma were determined by using the most frequently used artificial intelligence models in the literature. In addition, preoperative MRI were evaluated and the success rates were compared., Results: Among the artificial intelligence architectures used in the paper, the lowest result was obtained in MobileNetV2 with an accuracy of 83.30%, while the highest result was obtained in DenseNet201 with an accuracy of 90.99%. In our paper, the specificity of preoperative magnetic resonance imaging in the diagnosis of cholesteatoma was 88.23% and the sensitivity was 87.80%., Conclusion: In this study, we showed that artificial intelligence can be used with similar reliability to magnetic resonance imaging in the diagnosis of cholesteatoma. This is the first study that, to our knowledge, compares magnetic resonance imaging with artificial intelligence models for the purpose of identifying preoperative cholesteatomas.

Otitis media (OM), a common ear infection, is characterized by the presence of an accumulated middle ear effusion (MEE) in a normally air-filled middle ear cavity. While assessing the MEE plays a critical role in the overall management of OM, identifying and examining the MEE is challenging with the current diagnostic tools since the MEE is located behind the semi-opaque eardrum. The objective of this cross-sectional, observational study is to non-invasively visualize and characterize MEEs and bacterial biofilms in the middle ear. A portable, handheld, otoscope-integrated optical coherence tomography (OCT) system combined with novel analytical methods has been developed. In vivo middle ear OCT images were acquired from 53 pediatric subjects (average age of 3.9 years; all awake during OCT imaging) diagnosed with OM and undergoing a surgical procedure (ear tube surgery) to aspirate the MEE and aerate the middle ear. In vivo middle ear OCT acquired prior to the surgery was compared with OCT of the freshly extracted MEEs, clinical diagnosis, and post-operative evaluations. Among the subjects who were identified with the presence of MEEs, 89.6% showed the presence of the TM-adherent biofilm in in vivo OCT. This study provides an atlas of middle ear OCT images exhibiting a range of depth-resolved MEE features, which can only be visualized and assessed non-invasively through OCT. Quantitative metrics of OCT images acquired prior to the surgery were statistically correlated with surgical evaluations of MEEs. Measurements of MEE characteristics will provide new readily available information that can lead to improved diagnosis and management strategies for the highly prevalent OM in children., (© 2023. The Author(s) under exclusive licence to Association for Research in Otolaryngology.)

Objective: This study aimed to analyse the computed tomography parameters for effective ventilation in patients with adhesive otitis media., Methods: Twenty-six patients with unilateral adhesive otitis media were included in the study. The patients' temporal bone computed tomography images were retrospectively reviewed. Eustachian tube length and diameter were measured. Mastoid pneumatisation and middle-ear size were evaluated by measuring petroclival and Eustachian tube-tympanic cavity ventilation angles., Results: The average Eustachian tube length was 38.4 mm and 38.9 mm in adhesive otitis media and healthy ears, respectively. The Eustachian tube diameter of the adhesive otitis media ears (1.47 mm) was significantly narrower than that of the healthy ears (1.83 mm). There were no significant differences in the angles between adhesive otitis media and healthy ears., Conclusion: A narrow Eustachian tube diameter was associated with developing adhesive otitis media. Measuring Eustachian tube diameter is simple and can be routinely performed when examining temporal bone computed tomography images for Eustachian tube function evaluation.

Aims: To explore the value of otoscopy in diagnosing OME when performed by otorhinolaryngology, pediatrics, and primary care physicians; to evaluate the interobserver and intraobserver agreement of interpretation of otoscopy images., Material and Methods: A cross-sectional study using an anonymous mailed survey was used. We presented pre-recorded otoscopy images of pediatric patients to otorhinolaryngology, pediatrics, and primary care physicians (ten volunteer specialists and residents from each medical specialty). All participants had to answer "yes" or "no" if they considered that the image corresponded or not to an OME case, respectively. We considered that the images were positive for OME whenever the respective tympanogram was type B., Results: Thirty-one otoscopy images and 1860 responses provided by sixty physicians were analyzed. The accuracy of otoscopy in diagnosing OME was highest in the Otolaryngologists group (mean 74.8%), with the worst rate observed in the primary care residents group (mean 51.3%). Overall sensitivity, specificity, and positive predictive value of otoscopy for diagnosing OME were significantly higher when performed by otorhinolaryngologists (75.8%, 72.8%, 66.8%, respectively). Fleiss' kappa showed that interobserver agreement was globally weak within each group of specialties, with overall better interobserver agreement observed among otorhinolaryngologists (κ = 0.30; 95% CI 0.27-0.32)., Conclusion: According to our data, simple otoscopy as a single diagnostic method in pediatric OME is insufficient, even for otorhinolaryngologists. Current recommendations must be followed to improve diagnostic accuracy., (Copyright © 2022. Published by Elsevier España, S.L.U.)

Objective: To investigate the positive imaging rate of otitis media in children aged 1-12 years by analyzing the positive rate of otitis media suggested by cranial magnetic resonance imaging（MRI） images in children. Methods: By collecting the brain MRI images of children aged 1-12 in Department of Otolaryngology, Jinan children's Hospital from January 2014 to December 2020, the overall incidence of otitis media and mastoiditis was firstly determined, and then it was divided into 12 age groups according to age, each age group was split into boy and girl groups according to gender, each group was divided into left, right and bilateral groups, with the changes of otitis media and mastoiditis in the scanning field as the positive standard statistical analysis of the results. Results: Among 12 439 children in the study, 1321 cases were diagnosed with tympanitis, with a positive rate of 10.62%. Among them, 892 patients were male, with a positive rate of 67.52%, and 429 cases were female, with a positive rate of 32.48%. The positive rate of the male was higher than that of female children, 1.84 times higher than that of female children. The positive momentum in male and female children was negatively correlated with age （ P <0.01）. The favorable rates of male children in the left ear, right ear, and both ears were higher than those in female children of the same age（ P <0.05）. There was no difference in the positive rate of the left and right ear in children with tympanitis （ P =0.76）. Conclusion: Craniocerebral MRI examination in children with tympanitis can clarify the inflammation of the middle ear cavity and the effusion in the mastoid air chamber. The positive rate of children at two years old showed a steep decline, which may be due to the acceleration of mastoid gasification, the change of tympanic environment, the increase of air chamber in the tympanic room, the evolution of air pressure could offset the negative pressure caused by poor Eustachian tube function, to reduce the incidence of tympanitis., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Editorial Department of Journal of Clinical Otorhinolaryngology Head and Neck Surgery.)

Objective: Cholesteatoma (CHO) developing secondary to chronic otitis media (COM) can spread rapidly and cause important health problems such as hearing loss. Therefore, the presence of CHO should be diagnosed promptly with high accuracy and then treated surgically. The aim of this study was to investigate the effectiveness of artificial intelligence applications (AIA) in documenting the presence of CHO based on computed tomography (CT) images., Patients and Methods: The study was performed on CT images of 100 CHO, 100 non-cholesteatoma (N-CHO) COM, and 100 control patients. Two AIA models including ResNet50 and MobileNetV2 were used for the classification of the images., Results: Overall accuracy rate was 93.33% for the ResNet50 model and 86.67% for the MobilNetV2 model. Moreover, the diagnostic accuracy rates of these two models were 100% and 95% in the CHO group, 90% and 85% in the N-CHO group, and 90% and 80% in the control group, respectively., Conclusions: These results indicate that the use of AIA in the diagnosis of CHO will improve the diagnostic accuracy rates and will also help physicians in terms of reducing their workload and facilitating the selection of the correct treatment strategy.

Introduction: There are several factors that seem to affect the surgical success rate of tympanoplasty, one of them being the pneumatization of the contralateral mastoid. In the current literature, several studies have been published with classification proposals for temporal bone pneumatization pattern. This study aims to evaluate the role of mastoid air cell extension in relation to the sigmoid sinus in predicting the surgical success of tympanoplasty., Material and Methods: This case-control study was performed on patients diagnosed with chronic otitis media (COM) who underwent type I tympanoplasty. The study group did not close the tympanic membrane, or there was a retraction or lateralization of the graft. The control group consisted of patients with surgical success., Results: No statistically significant difference was found between groups regrading age, gender, perforation side/type, previous nasal surgery, and the presence of chronic otitis media in contralateral ear. A statistically significant difference was found when groups were compared in relation to the degree of pneumatization of the contralateral ear (p = 0.046), and this relationship does not seem to be influenced by age., Conclusion: To predict surgical success in terms of tympanic membrane closure in tympanoplasty, classification of contralateral ear pneumatization degree using the sigmoid sinus as a reference seems to be a valid and easy to apply method, and makes it possible to restrict the evaluation of pneumatization to the mastoid, a cell complex that does not seem to change with age., Competing Interests: Declaration of competing interest We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no financial support for this work that could have influenced its outcome or results publication., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Purpose: We aimed to evaluate the morphology of the external auditory canal (EAC) using a three-dimensional (3D) reconstruction of computed tomography (CT) scans of the temporal bone to corroborate and predict important anatomical structures involved in middle ear surgery based on the EAC morphology., Methods: Temporal bone CT from 62 patients (120 ears) was used to perform 3D reconstruction (maximum intensity projection), of which 32 patients (60 ears) had chronic otitis media and 30 patients (60 ears) had normal temporal bones. The anatomical morphology of the EAC, tympanic sinus, vertical portion of the facial nerve, and jugular bulb were measured, and the anatomical relationship between the EAC morphology and important structures of the middle ear was analyzed., Results: In ears with chronic otitis media, the overhang of the inferior wall of the EAC was significantly more than that in normal ears, and the antero-posterior length of the bony tympanic ring was short. Furthermore, the tympanic sinus was shallow, and vertical portion of the facial nerve tended to run outward. The EAC morphology correlated with the tympanic sinus depth and outward orientation of the vertical portion of the facial nerve., Conclusion: A severe overhang of the inferior wall of the EAC and short antero-posterior length of the bony tympanic ring indicates a higher possibility of a shallow tympanic sinus and an outward orientation of the vertical portion of the facial nerve. These findings aid in predicting the difficulty of tympanic sinus operation and reducing facial nerve damage risk during EAC excision., (© 2022. The Author(s).)

Objective: To determine the locations and predictive factors of hypertrophic pachymeningitis (HP), a serious central complication of otitis media with antineutrophil cytoplasmic antigen-associated vasculitis (OMAAV)., Study Design: Retrospective study., Setting: University hospital., Patients: Thirty-six patients with OMAAV underwent contrast-enhanced magnetic resonance imaging (CE-MRI) of the brain, of whom 18 and 18 had or did not have HP, respectively., Main Outcome Measures: The location of HP lesions, which were detected as dural thickening on CE-MRI, was reviewed. Clinical characteristics, laboratory data, and audiometric data before treatment were correlated with the occurrence of HP., Results: HP lesions were most frequently observed in the middle cranial fossa, followed by the internal auditory meatus, tentorium cerebelli, and posterior cranial fossa, which were adjacent to the middle ear primary lesion. Headache was more frequently observed in patients with HP than without HP. The neutrophil-to-lymphocyte ratio (NLR) of the HP (+) group (median, 3.91; interquartile range, 2.50-6.06) was higher than that of the HP (-) group (median, 2.40; interquartile range, 2.01-3.03). The area under the receiver operating characteristic curve for the NLR was 0.741. An NLR of 3.46 had the highest sensitivity (61.1%) and specificity (94.4%) for predicting HP. Other markers of systemic inflammation and comorbidities of systemic diseases were not different between the groups., Conclusions: HP may not be a systemic manifestation of OMAAV but may be related to local lesions in the adjacent brain. A high NLR may be a predictive factor for comorbid HP. Therefore, CE-MRI should be considered for patients with a high NLR., Competing Interests: The authors disclose no conflicts of interest., (Copyright © 2022, Otology & Neurotology, Inc.)

Objective: Cholesteatoma is an aggressive form of chronic otitis media (COM). For this reason, it is important to distinguish between COM with and without cholesteatoma. In this study, the role of artificial intelligence modelling in differentiating COM with and without cholesteatoma on computed tomography images was evaluated., Methods: The files of 200 patients who underwent mastoidectomy and/or tympanoplasty for COM in our clinic between January 2016 and January 2021 were retrospectively reviewed. According to the presence of cholesteatoma, the patients were divided into two groups as chronic otitis with cholesteatoma (n = 100) and chronic otitis without cholesteatoma (n = 100). The control group (n = 100) consisted of patients who did not have any previous ear disease and did not have any active complaints about the ear. Temporal bone computed tomography (CT) images of all patients were analyzed. The distinction between cholesteatoma and COM was evaluated by using 80% of the CT images obtained for the training of artificial intelligence modelling and the remaining 20% for testing purposes., Results: The accuracy rate obtained in the hybrid model we used in our study was 95.4%. The proposed model correctly predicted 2952 out of 3093 CT images, while it predicted 141 incorrectly. It correctly predicted 936 (93.78%) of 998 images in the COM group with cholesteatoma, 835 (92.77%) of 900 images in the COM group without cholesteatoma, and 1181 (98.82%) of 1195 images in the normal group., Conclusion: In our study, it has been shown that the differentiation of COM with and without cholesteatoma with artificial intelligence modelling can be made with highly accurate diagnosis rates by using CT images. With the deep learning modelling we proposed, the highest correct diagnosis rate in the literature was obtained. According to the results of our study, we think that with the use of artificial intelligence in practice, the diagnosis of cholesteatoma can be made earlier, it will help in the selection of the most appropriate treatment approach, and the complications can be reduced., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Objectives: Recurrent middle-ear infection can lead to ossicular fixation, adversely affecting post-tympanoplasty hearing outcomes. Preoperative prediction of ossicular fixation remains challenging. We aimed to investigate potential predictors of ossicular fixation in patients with chronic otitis media., Study Design: Retrospective., Setting: Tertiary academic medical center., Patients: Patients with noncholesteatomatous chronic otitis media and tympanic membrane perforation, without ossicular discontinuities., Interventions: Diagnostic., Main Outcome Measures: The fixation of each ossicle was assessed during tympanoplasty. The impact of preoperative otoscopic findings, computed tomography (CT) features, and hearing levels on the prediction of ossicular fixation was evaluated using uni- and multivariable logistic regression analyses., Results: One hundred thirty-five patients were included. Soft-tissue density between the malleus head and the anterior wall (odds ratio, 3.789 [95% confidence interval, 1.177-12.196]; p = 0.0255) and poor development of mastoid cells (16.826 [2.015-134.520]; p = 0.0078) were independent predictors of malleus fixation. In addition, ≥50% tympanic membrane perforation (5.412 [1.908-15.353]; p = 0.0015), poor development of mastoid cells (3.386 [1.039-11.034]; p = 0.0431), and a ≥40-dB preoperative air-bone gap (ABG) at 500 Hz (4.970 [1.732-14.261]; p = 0.0029) were independent predictors of incus fixation. Soft-tissue density surrounding the stapes (18.833 [1.856-191.104]; p = 0.0119) and a ≥40-dB preoperative ABG at 500 Hz (13.452 [1.640-∞]; p = 0.0138) were correlated with stapes fixation., Conclusions: The accurate prediction of ossicular fixation in patients with chronic otitis media based on CT features and the ABG may facilitate decision-making regarding the need for ossiculoplasty, possibly avoiding unnecessary manipulation or overlooking of fixation., Competing Interests: The authors disclose no conflicts of interest., (Copyright © 2021, Otology & Neurotology, Inc.)

Objective: To assess the changes of the spatial location of the malleus in patients with chronic otitis media (COM) using 10 μm otology CT. Methods: Forty-five patients with COM (COM group, 45 ears) and 55 patients without external and middle ear disease (control group, 89 ears), who underwent 10 μm otology CT examination in Department of Radiology, Beijing Friendship Hospital, Capital Medical University from October 2020 to March 2021, were retrospectively collected during the same period. In the COM group, there are 20 males and 25 females, aged from 20 to 78 (40±14) years. In the control group, 29 were males and 26 were females, with age of 19 to 57 (32±11) years. The shortest distance between the malleus head and the upper wall, the distance between the outer edge of the malleus neck and the scutum, the distance between the outer edge of the malleus neck and the pars flaccida of the tympanic membrane, the shortest distance between the malleus head and the anterior wall, the shortest distance between the anterior process and the anterolateral wall, the shortest distance between the tip of the malleus handle and the promontory, and the shortest distance between the malleus head and the tympanic segment of the facial nerve were measured and compared between the two groups. Results: Compared with the control group, the head-upper wall distance ( M ( Q 1 , Q 3 )) (0.81 (0.48, 1.21) mm vs 0.57 (0.33, 0.90) mm) and the neck-scutum distance (1.79 (1.54, 2.13) mm vs 1.65 (1.48, 1.83) mm) were larger in the COM group (all P <0.05), and the neck-tympanic membrane distance (1.32 (1.15, 1.49) mm vs 1.45 (1.31, 1.59) mm) and the handle-promontory distance (1.56 (1.33, 2.09) mm vs 2.10 (1.74, 2.43) mm) were reduced in the COM group (all P <0.05, respectively). The neck-tympanic membrane distance on the left was larger than those on the right in the COM group (1.39 (1.19, 1.51) mm vs 1.21 (0.87, 1.31) mm, P <0.05). Conclusion: There are changes in the relative position of the malleus in patients with COM, which are helpful for further understanding the imaging manifestations in patients with COM.

Exposure to cigarette smoke (CS) is a factor that could delay or worsen the recovery of otitis media (OM) by causing inflammatory swelling of the Eustachian tube (ET). However, despite the suggested relationship, little is known about the association between OM and CS. Therefore, we aimed to evaluate the effects of CS on the development, progression, and recovery of OM, as well as the histological and molecular changes caused by CS exposure, by using a rat model of OM infected with non-typeable Haemophilus influenzae (NTHi). Eighty Sprague-Dawley rats with normal middle ears (MEs) were divided into four groups (n = 20 rats/group): control, CS, OM, and CS + OM. The CS and CS + OM groups were exposed to CS for 2 weeks. The inflammatory reaction to NTHi was more intense and lasted longer in the CS + OM group than in the other groups. Goblet cell proliferation and mucus secretion in the ET were more significant in the CS and CS + OM groups than in the other groups. These findings suggested that because CS directly affects the ET and ME mucosa, bacterial OM can become more severe and may resolve more slowly in the presence of CS exposure rather than in its absence., (© 2021. The Author(s).)

Autoimmune and autoinflammatory inner ear diseases (AIED/AID) are characterized by the symptom of sensorineural hearing loss (SNHL). To date, standardized diagnostic tools for AIED/AID are lacking, and clinically differentiating AIED/AID from chronic otitis media (COM) with SNHL is challenging. This retrospective study aimed to construct a magnetic resonance imaging (MRI)-based decision tree using classification and regression tree (CART) analysis to distinguish AIED/AID from COM. In total, 67 patients were enrolled between January 2004 and October 2019, comprising AIED/AID (n = 18), COM (n = 24), and control groups (n = 25). All patients underwent 3 T temporal bone MRI, including post-contrast T1-weighted images (postT1WI) and post-contrast FLAIR images (postFLAIR). Two radiologists evaluated the presence of otomastoid effusion and inner ear contrast-enhancement on MRI. A CART decision tree model was constructed using MRI features to differentiate AIED/AID from COM and control groups, and diagnostic performance was analyzed. High-intensity bilateral effusion (61.1%) and inner ear enhancement (postFLAIR, 93.8%; postT1WI, 61.1%) were the most common findings in the AIED/AID group. We constructed two CART decision tree models; the first used effusion amount as the first partitioning node and postT1WI-inner ear enhancement as the second node, whereas the second comprised two partitioning nodes with the degree of postFLAIR-enhancement of the inner ear. The first and second models enabled distinction of AIED/AID from COM with high specificity (100% and 94.3%, respectively). The amount of effusion and the degree of inner ear enhancement on MRI may facilitate the distinction between AIED/AID and COM with SNHL using decision tree models, thereby contributing to early diagnosis and intervention., (© 2021. The Author(s).)

In this study, we propose an automatic diagnostic algorithm for detecting otitis media based on otoscopy images of the tympanic membrane. A total of 1336 images were assessed by a medical specialist into three diagnostic groups: acute otitis media, otitis media with effusion, and no effusion. To provide proper treatment and care and limit the use of unnecessary antibiotics, it is crucial to correctly detect tympanic membrane abnormalities, and to distinguish between acute otitis media and otitis media with effusion. The proposed approach for this classification task is based on deep metric learning, and this study compares the performance of different distance-based metric loss functions. Contrastive loss, triplet loss and multi-class N-pair loss are employed, and compared with the performance of standard cross-entropy and class-weighted cross-entropy classification networks. Triplet loss achieves high precision on a highly imbalanced data set, and the deep metric methods provide useful insight into the decision making of a neural network. The results are comparable to the best clinical experts and paves the way for more accurate and operator-independent diagnosis of otitis media., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Søren Laugesen, Pete Bray, James Harte and Chiemi Tanaka works for the Demant Group that develop and manufacture otoscopy equipment., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

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: Chronic otitis media is a heterogeneous disorder. Chronic suppurative otitis media with cholesteatoma and, to a lesser extent, chronic otitis media with granulation lead to the destruction of bone structures within the middle ear. Bone loss may appear in the prominence of the horizontal semicircular canals and the bony canal of the facial nerve. The inflammatory process may spread to the bony labyrinth of the sigmoidal sinuses and the cranial cavities., Materials and Methods: The analysis comprised the examination of fragments of auditory ossicles removed during surgery in 21 patients with various types of chronic inflammation of the middle ear. The purpose of this study was to evaluate the usefulness of scanning electron microscopy in evaluating the erosion of middle ear ossicles in different types of chronic otitis media. Images captured at various magnifications were used for the best possible illustration of the observed lesions in bone tissue., Results: The observed lesions and the degree of bone surface damage were dependent on the type of chronic inflammation of the middle ear. The largest destructive changes in the ossicular chain were observed in chronic otitis media with cholesteatoma; smaller changes were observed in chronic otitis media with granulation., Conclusion: In the case of damage to the ossicles inflicted by inflammation, the use of a modeled bone block made of a temporal bone taken from outside the tympanic cavity or a biomaterial prosthesis is a good choice in ossiculoplasty.

Studying the impact of antibiotic treatment on otitis media (OM), the leading cause of primary care office visits during childhood, is critical to develop appropriate treatment strategies. Tracking dynamic middle ear conditions during antibiotic treatment is not readily applicable in patients, due to the limited diagnostic techniques available to detect the smaller amount and variation of middle ear effusion (MEE) and middle ear bacterial biofilm, responsible for chronic and recurrent OM. To overcome these challenges, a handheld optical coherence tomography (OCT) system has been developed to monitor in vivo response of biofilms and MEEs in the OM-induced chinchilla model, the standard model for human OM. As a result, the formation of MEE as well as biofilm adherent to the tympanic membrane (TM) was longitudinally assessed as OM developed. Various types of MEEs and biofilms in the chinchilla model were identified, which showed comparable features as those in humans. Furthermore, the effect of antibiotics on the biofilm as well as the amount and type of MEEs was investigated with low-dose and high-dose treatment (ceftriaxone). The capability of OCT to non-invasively track and examine middle ear conditions is highly beneficial for therapeutic OM studies and will lead to improved management of OM in patients.

Objectives: This study investigated the usefulness and performance of a two-stage attention-aware convolutional neural network (CNN) for the automated diagnosis of otitis media from tympanic membrane (TM) images., Design: A classification model development and validation study in ears with otitis media based on otoscopic TM images. Two commonly used CNNs were trained and evaluated on the dataset. On the basis of a Class Activation Map (CAM), a two-stage classification pipeline was developed to improve accuracy and reliability, and simulate an expert reading the TM images., Setting and Participants: This is a retrospective study using otoendoscopic images obtained from the Department of Otorhinolaryngology in China. A dataset was generated with 6066 otoscopic images from 2022 participants comprising four kinds of TM images, that is, normal eardrum, otitis media with effusion (OME) and two stages of chronic suppurative otitis media (CSOM)., Results: The proposed method achieved an overall accuracy of 93.4% using ResNet50 as the backbone network in a threefold cross-validation. The F1 Score of classification for normal images was 94.3%, and 96.8% for OME. There was a small difference between the active and inactive status of CSOM, achieving 91.7% and 82.4% F1 scores, respectively. The results demonstrate a classification performance equivalent to the diagnosis level of an associate professor in otolaryngology., Conclusions: CNNs provide a useful and effective tool for the automated classification of TM images. In addition, having a weakly supervised method such as CAM can help the network focus on discriminative parts of the image and improve performance with a relatively small database. This two-stage method is beneficial to improve the accuracy of diagnosis of otitis media for junior otolaryngologists and physicians in other disciplines., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: This study is directed towards establishing a correlation between the objective measurement of tympanic membrane (TM) perforation size with hearing loss in patients with inactive mucosal chronic otitis media (COM), and to compare the otoscopic findings of the TM perforation vis-a-vis the results obtained by image analysis of the endoscopic image of the perforation., Materials and Methods: An observational, prospective and hospital based study was performed on 107 ears (78 patients) with inactive mucosal chronic otitis media. Objective measurement of the TM perforation size was done by capturing the images of the perforation on ImageJ analysis software. A correlation was established between the hearing loss and the perforation with respect to its size and location. The accuracy of the otoscopic finding of the perforation was established with respect to the endoscopic image of the perforation., Results: The extent of the hearing loss was seen to increase with increasing size of the TM perforation (r = 0.435, p < 0.0001). Posterior perforations had a 12% greater hearing loss than anterior perforations but this was significant only at the frequency of 500 Hz (p = 0.02). There was a positive correlation between the otoscopic estimation of the size of the perforation with the endoscopically obtained image., Conclusion: Hearing loss in chronic otitis media is directly proportional to the size of the TM perforation and posteriorly based perforations have worse audiometric thresholds at lower frequencies (500 Hz).

Objective: To correlate pre-operative computed tomography findings, intra-operative details and surgical outcomes with cholesteatoma recurrence in revision tympanomastoidectomy., Methods: This retrospective, non-randomised, single-institution cohort study included 42 patients who underwent pre-operative computed tomography imaging and revision surgery for recurrent chronic otitis media. Twelve disease localisations noted during revision surgery were correlated with pre-operative temporal bone computed tomography scans. A matched pair analysis was performed on patients with similar intra-operative findings, but without pre-operative computed tomography scans., Results: Pre-operative computed tomography identified 25 out of 31 cholesteatoma recurrences. Computed tomography findings correlated with: recurrent cholesteatoma when attic opacification and ossicular chain involvement were present; and revision surgery type. Sinodural angle disease, posterior canal wall erosion and dehiscent dura were identified as predictors of canal wall down tympanomastoidectomy. Patients with pre-operative computed tomography scans had a higher rate of cholesteatoma recurrence, younger age at diagnosis of recurrent disease, more revision surgical procedures and less time between previous and revision surgical procedures (all p < 0.05)., Conclusion: Pre-operative imaging and intra-operative findings have important clinical implications in revision surgery for chronic otitis media. Performing pre-operative computed tomography increases diagnosis accuracy and reduces the time required to diagnose recurrent disease.

Otitis externa and otitis media are common in American Cocker Spaniels, however breed-specific aural CT descriptions are currently lacking. This prospective and retrospective, observational, analytical study aimed to describe quantitative CT characteristics of the horizontal ear canal and the tympanic bulla in American Cocker Spaniels versus similar-sized mesaticephalic dogs. We prospectively performed clinical examinations and aural CT scanning for 38 American Cocker Spaniels. Computed tomographic transverse area of the osseous horizontal ear canal (TA1), transverse area of the widest air-filled part of the cartilaginous horizontal ear canal (TA2), tympanic bulla volume, and tympanic bulla wall thickness were measured. The TA1 and TA2 measurements were compared with those of 23 retrospectively recruited, similar-sized mesaticephalic dogs that had undergone CT-scanning of the head for non-ear-related reasons. The TA1 and TA2 did not differ for healthy American Cocker Spaniels and mesaticephalic dogs. Severely affected American Cocker Spaniels had significantly smaller TA2 (P < .001). The intraclass correlation coefficient for intraobserver and interobserver repeatability was 0.972 and 0.983 for TA1 and 0.994 and 0.998 for TA2, respectively. Variation between individuals was subjectively noted in healthy and affected American Cocker Spaniels, but mean tympanic bulla volume was slightly smaller in relation to body weight, and the tympanic bulla wall was thicker than in previous reports for mesaticephalic dogs. The tympanic bulla wall appeared thicker rostro-ventrally than caudo-ventrally in 44% of the dogs. Our results imply that a relatively thick tympanic bulla wall may be a normal CT variation and should be interpreted cautiously in this breed., (© 2020 American College of Veterinary Radiology.)

Clinical disease from otitis media in calves is a significant problem in the dairy industry and evaluation of disease severity, chronicity, and imaging remains a challenge. Our objectives were to compare imaging findings in calves with an early diagnosis of respiratory disease to calves with treatment failure. This was a prospective study of 30 Jersey heifer calves, 26-95 days of age, with elevated clinical respiratory scores. Ten clinically healthy calves served as controls for clinical scoring. Three groups of calves were selected based on elevated scores using the McGuirk respiratory scoring system and treatment history. Group A included new cases, group B included primary treatment failures, and group C included multiple treatment failures. Calves underwent a skull CT, four view radiography, post-mortem photography of the tympanic bulla and bacteriological diagnostics. Imaging and post-mortem results were evaluated using normalized scoring schemes. Computed tomography imaging of the tympanic bulla differentiated calves early in the course of disease (group A) from calves that had not responded to treatment (groups B and C). Radiographs differentiated only group C from groups A and B. Use of a 35 degree angle dorsal-right or dorsal-left ventral oblique projection for radiography allowed effective evaluation of the tympanic bulla. Clinical respiratory scores were similar among all three groups. Computed tomography imaging can differentiate early from advanced otitis media. Radiographs, which can be performed in the field, also have utility to identify advanced otitis media to aid management decisions., (Copyright © 2020. Published by Elsevier Ltd.)

Whether the dimension of the osseous external auditory canal (OEAC) is related to chronic otitis media (COM) remains an important but unresolved issue. In the literature, routine canaloplasty has been suggested to help elucidate this problem. In this study, we intended to investigate the relationship between the diameter or shape of OEAC and COM. We retrospectively reviewed the high-resolution computed tomography (HRCT) images of the temporal bones of 62 patients with unilateral COM who underwent tympanoplasty from January 1, 2011, to December 31, 2013. For comparison, the HRCT images of another 62 patients with normal ears were collected to be the control group. The shape of OEAC was categorized into 5 groups according to Mahboubi's classification, and the dimension of each patient's OEAC was measured at 2 defined sections (annular section and isthmus/midcanal section). The most prevalent shape of OEAC for the lesion sides of the ears was cylindrical, followed by conical, and hourglass in both the COM and the control groups. As to the dimension of OEAC, there were no significant differences between lesion ears and normal ears among patients in the COM group as well as between lesion ears in the COM group and normal ears in the control group. We concluded that the bony dimension of the external ear canal was not related to COM. This suggested that chronic inflammation or infection of middle ear may not cause bony thickening of OEAC, despite the kind of OEAC shape involved.

Otitic hydrocephalus (OH) comprises a form of benign intracranial hypertension, which is secondary to otogenic lateral sinus thrombosis (LST). Only a small percentage of the patients with otogenic LST go into developing OH, and this may be associated with the multiplicity of anatomic variations of the cerebral venous drainage pathways. We present two pediatric cases of OH, along with a comprehensive review of the relevant literature. Both cases discussed in this article had concomitantly a rather rare anatomical variation; a high-riding, dehiscent jugular bulb, which might have played a role in the development of their clinical syndrome. The pediatric population with this particular imaging finding should receive special attention. Clinical implications of this concurrence are fitly discussed., Competing Interests: Declaration of competing interest None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: Patulous Eustachian tube appears to be caused by a concave defect in the anterolateral wall of the tubal valve of the Eustachian tube. This study aimed to compare the clinical features of patulous Eustachian tube patients with or without a defect in the anterolateral wall of the tubal valve., Methods: Sixty-six patients with a patulous Eustachian tube completed a questionnaire, which was evaluated alongside endoscopic findings of the tympanic membrane, nasal cavity and Eustachian tube orifice., Results: Females were more frequently diagnosed with a patulous Eustachian tube, but the valve defect was more common in males (p = 0.007). The ratio of patulous Eustachian tube patients with or without defects in the anterolateral wall of the tubal valve was 1.6:1. Weight loss in the previous six months and being refractory to conservative management were significantly associated with the defect (p = 0.035 and 0.037, respectively). Symptom severity was significantly higher in patients with the defect., Conclusion: Patulous Eustachian tube patients without a defect in the anterolateral wall of the tubal valve can be non-surgically treated more often than those with the defect. Identification of the defect could assist in making treatment decisions for patulous Eustachian tube patients.

We develop a novel smartphone-based spectral imaging otoscope for telemedicine and examine its capability for the mobile diagnosis of middle ear diseases. The device was applied to perform spectral imaging and analysis of an ear-mimicking phantom and a normal and abnormal tympanic membrane for evaluation of its potential for the mobile diagnosis. Spectral classified images were obtained via online spectral analysis in a remote server. The phantom experimental results showed that it allowed us to distinguish four different fluids located behind a semitransparent membrane. Also, in the spectral classified images of normal ears (n = 3) and an ear with chronic otitis media (n = 1), the normal and abnormal regions in each ear could be quantitatively distinguished with high contrast. These preliminary results thus suggested that it might have the potentials for providing quantitative information for the mobile diagnosis of various middle ear diseases., (© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Convolutional neural networks (CNNs), a popular type of deep neural network, have been actively applied to image recognition, object detection, object localization, semantic segmentation, and object instance segmentation. Accordingly, the applicability of deep learning to the analysis of medical images has increased. This paper presents a novel application of state-of-the-art CNN models, such as DenseNet, to the automatic detection of the tympanic membrane (TM) and middle ear (ME) infection. We collected 2,484 oto-endoscopic images (OEIs) and classified them into one of three categories: normal, chronic otitis media (COM) with TM perforation, and otitis media with effusion (OME). Our results indicate that CNN models have significant potential for the automatic recognition of TM and ME infections, demonstrating a competitive accuracy of 95% in classifying TM and middle ear effusion (MEE) from OEIs. In addition to accuracy measurement, our approach achieves nearly perfect measures of 0.99 in terms of the average area under the receiver operating characteristics curve (AUROC). All these results indicate robust performance when recognizing TM and ME effusions in OEIs. Visualization through a class activation mapping (CAM) heatmap demonstrates that our proposed model performs prediction based on the correct region of OEIs. All these outcomes ensure the reliability of our method; hence, the study can aid otolaryngologists and primary care physicians in real-world scenarios., 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 © 2020 Elsevier Ltd. All rights reserved.)

&lt;b&gt;Introduction: &lt;/b&gt;Knowledge about the physiology of a healthy middle ear is essential for understanding the activity and mechanics of the ear as well as the basics of ossiculoplasty. Trauma of the epithelial lining of the tympanic cavity as well as the ossicular chain may be the result of chronic inflammation and surgery. Depending on the observed changes of the middle ear lining, there are several types of distinguished chronic inflammatory changes: simple, with cholesteatoma, with the formation of inflammatory granulation tissue, in course of specific diseases. &lt;br&gt;&lt;b&gt;Purpose: &lt;/b&gt;The aim of the article is presentation of the microstructure and vasculature of the ossicular chain in the Scanning Electron Microscope. Particular attention is drawn to the anatomical aspects of the structure and connections of auditory ossicles as vital elements for reconstruction of the conduction system of the middle ear. &lt;br&gt;&lt;b&gt;Material and method: &lt;/b&gt;The analysis covered auditory ossicles standardly removed in accordance with the methodology of the investigated surgical procedures. The preparations were evaluated in a scanning electron microscope. &lt;br&gt;&lt;b&gt;Results: &lt;/b&gt;The exposure of bone surface promotes deep erosion. The advanced process of destruction of bone surface in the case of chronic otitis media correlates with a significant degree of damage to both the lining covering the auditory ossicles and that surrounding articular surfaces. &lt;br&gt;&lt;b&gt;Conclusions: &lt;/b&gt;(1) The ossicles in the image of the Scanning Electron Microscope are covered with lining. It passes from the surface of the ossicles to the vascular bundles, forming vascular sheaths; (2) Damage to lining continuity on the surface of the auditory ossicles promotes the rapid destruction of bone tissue in the inflammatory process; (3) The dimensions of the individual ossicles are respectively: malleus - 8.36 +/- 0.01, incus - 8.14 +/- 0.0, stapes - 3.23 +/- 0.01 mm. Behavior of the anatomical length of ossicular chain during tympanoplasty appears to be essential to maintaining adequate vibration amplitude of the conductive system of the middle ear.

Ear infection is one of the most commonly occurring inflammation diseases in the world, especially for children. Almost every child encounters at least one episode of ear infection before he/she reaches the age of seven. The typical treatment currently followed by physicians is visual inspection and antibiotic prescription. In most cases, a lack of improper treatment results in severe bacterial infection. Therefore, it is necessary to design and explore advanced practices for effective diagnosis. In this review paper, we present the various types of ear infection and the related pathogens responsible for middle ear infection. We outline the conventional techniques along with clinical trials using those techniques to detect ear infections. Further, we highlight the need for emerging techniques to reduce ear infection complications. Finally, we emphasize the utility of Raman spectroscopy as a prospective non-invasive technique for the identification of middle ear infection.

Objectives: The purpose of this study was to develop a deep-learning framework for the diagnosis of chronic otitis media (COM) based on temporal bone computed tomography (CT) scans., Design: A total of 562 COM patients with 672 temporal bone CT scans of both ears were included. The final dataset consisted of 1147 ears, and each of them was assigned with a ground truth label from one of the 3 conditions: normal, chronic suppurative otitis media, and cholesteatoma. A random selection of 85% dataset (n = 975) was used for training and validation. The framework contained two deep-learning networks with distinct functions: a region proposal network for extracting regions of interest from 2-dimensional CT slices; and a classification network for diagnosis of COM based on the extracted regions. The performance of this framework was evaluated on the remaining 15% dataset (n = 172) and compared with that of 6 clinical experts who read the same CT images only. The panel included 2 otologists, 3 otolaryngologists, and 1 radiologist., Results: The area under the receiver operating characteristic curve of the artificial intelligence model in classifying COM versus normal was 0.92, with sensitivity (83.3%) and specificity (91.4%) exceeding the averages of clinical experts (81.1% and 88.8%, respectively). In a 3-class classification task, this network had higher overall accuracy (76.7% versus 73.8%), higher recall rates in identifying chronic suppurative otitis media (75% versus 70%) and cholesteatoma (76% versus 53%) cases, and superior consistency in duplicated cases (100% versus 81%) compared with clinical experts., Conclusions: This article presented a deep-learning framework that automatically extracted the region of interest from two-dimensional temporal bone CT slices and made diagnosis of COM. The performance of this model was comparable and, in some cases, superior to that of clinical experts. These results implied a promising prospect for clinical application of artificial intelligence in the diagnosis of COM based on CT images.

Objective: To investigate the prevalence of bony dehiscence in the tympanic facial canal in patients with acute otitis media with facial paresis compared to those without facial paresis., Method: A retrospective case-control study was conducted on acute otitis media patients with facial paresis undergoing high-resolution temporal bone computed tomography., Results: Forty-eight patients were included (24 per group). Definitive determination of the presence of a bony dehiscence was possible in 44 out of 48 patients (91.7 per cent). Prevalence of bony dehiscence in acute otitis media patients with facial paresis was not different from that in acute otitis media patients without facial paresis (p = 0.21). Presence of a bony dehiscence was associated with a positive predictive value of 66.7 per cent in regard to development of facial paresis. However, an intact bony tympanic facial canal did not prevent facial paresis in 44.8 per cent of cases (95 per cent confidence interval = 34.6-55.6)., Conclusion: Prevalence of bony dehiscence in acute otitis media patients with facial paresis did not differ from that in acute otitis media patients without facial paresis. An intact tympanic bony facial canal does not protect from facial paresis development.

Background: Identification of perpetuating factors, such as otitis media (OM), is important for the successful management of canine chronic otitis externa (OE)., Hypothesis/objectives: Occult OM can occur in cases of chronic OE; a focused magnetic resonance imaging (MRI) examination is a useful tool in their management., Animals: One hundred twenty one client-owned dogs presented for investigation and treatment of chronic OE between 2009 and 2018., Methods and Materials: Mixed retrospective (74 dogs) and prospective (47 dogs) study of chronic OE cases without neurological signs, describing the MRI, otoscopic and cytological findings; comparing cases with and without MRI evidence of OM., Results: A total of 123 MRI studies were analysed (two dogs scanned twice). A short, focused MRI scan allowed detection of inflammation of the mucosal bulla lining as well as excellent discrimination between avascular material and vascularised soft tissue in the tympanic cavity. OM was found in 41 of 197 (21%) ears with chronic otitis externa. On otoscopy, the tympanic membrane was intact in six of 41 ears (15%), ruptured in 16 of 41 (39%) and not visible in 14 of 41 (34%) [no data in five of 41 (12%)]. Analysis of cytological findings showed that the presence of rods was only associated with an increased likelihood of OM when found together with inflammatory cells., Conclusions and Clinical Importance: Occult OM is a not uncommon finding on MRI of dogs with chronic OE. A targeted MRI study ("bulla mini-scan") may be useful as part of the clinical investigations., (© 2019 ESVD and ACVD.)

In medicine, a misdiagnosis or the absence of specialists can affect the patient's health, leading to unnecessary tests and increasing the costs of healthcare. In particular, the lack of specialists in otolaryngology in third world countries forces patients to seek medical attention from general practitioners, whom might not have enough training and experience for making correct diagnosis in this field. To tackle this problem, we propose and test a computer-aided system based on machine learning models and image processing techniques for otoscopic examination, as a support for a more accurate diagnosis of ear conditions at primary care before specialist referral; in particular, for myringosclerosis, earwax plug, and chronic otitis media. To characterize the tympanic membrane and ear canal for each condition, we implemented three different feature extraction methods: color coherence vector, discrete cosine transform, and filter bank. We also considered three machine learning algorithms: support vector machine (SVM), k-nearest neighbor (k-NN) and decision trees to develop the ear condition predictor model. To conduct the research, our database included 160 images as testing set and 720 images as training and validation sets of 180 patients. We repeatedly trained the learning models using the training dataset and evaluated them using the validation dataset to thus obtain the best feature extraction method and learning model that produce the highest validation accuracy. The results showed that the SVM and k-NN presented the best performance followed by decision trees model. Finally, we performed a classification stage -i.e., diagnosis- using testing data, where the SVM model achieved an average classification accuracy of 93.9%, average sensitivity of 87.8%, average specificity of 95.9%, and average positive predictive value of 87.7%. The results show that this system might be used for general practitioners as a reference to make better decisions in the ear pathologies diagnosis., Competing Interests: The authors have declared that no competing interests exist.

Background: Video otoscopy is a valuable tool for the diagnosis and treatment of otitis externa (OE) and otitis media (OM) in dogs. Procedures performed by video otoscopy often are painful and it can be challenging to maintain steady anaesthetic depth and provide smooth anaesthetic recovery. A multimodal approach to analgesia and anaesthesia is ideal to minimize complications associated with high doses of anaesthetic drugs while providing the patient with adequate analgesia., Hypothesis/objective: To describe a technique for regional anaesthesia of the canine ear., Animals: One canine cadaver, obtained as part of a teaching laboratory class for other clinical techniques, with institutional approval, was used for illustration purposes., Results: Clinical technique for regional anaesthesia of the canine ear., Conclusions and Clinical Importance: Nerve blocks for regional anaesthesia are an important aspect of a multimodal anaesthetic approach. A technique for blocking the two major sensory nerves to the canine ear is described., (© 2019 ESVD and ACVD.)

A four-year-old female French bulldog was presented for evaluation of acute, left-sided peripheral vestibular syndrome. Computed tomographic (CT) examination of the head revealed the presence of air within the left cochlea and vestibule, consistent with pneumolabyrinth. This was concurrent with ipsilateral otitis media and externa. Pneumolabyrinth is an uncommon finding in humans and is most frequently due to head trauma and temporal bone fracture. This is the first report describing pneumolabyrinth in a dog, apparently of nontraumatic origin in this case., (© 2017 American College of Veterinary Radiology.)

Purpose: To investigate the relationship between mastoid pneumatization and the conformation and depth of the sinus tympani (ST) in patients with chronic otitis media (COM), based on the high-resolution computed tomography (HRCT) scans., Methods: Two hundred and two patients affected by COM were included in the study. The patients were divided into three groups according to the extent of mastoid pneumatization on HRCT scans; pneumatized (group 1), diploic (group 2) or sclerotic (group 3). The variation in the ST area (types A, B, C) was assessed using a radiomorphological classification based on the relationship between the medial boundary of the ST and the third portion of the facial nerve. Depth of the ST was calculated by measuring the distance between the medial boundary of the ST and medial boundary of the third portion of the facial nerve RESULTS: There was a statistically significant difference between the groups in terms of the type of ST (p < 0.001). The mean depths of the ST were 1.59 ± 0.82 mm (0.00-2.80 mm) in group 1, 1.10 ± 0.79 mm (0.00-3.00 mm) in group 2 and 0.53 ± 0.63 mm (0.00-2.60 mm) in group 3. The groups were significantly different in terms of the depth of the ST (p < 0.001)., Conclusion: A well-pneumatized mastoid is highly associated with a deep and posteriorly positioned ST with respect to the facial nerve. The preoperative HRCT scans of patients with cholesteatoma should be carefully evaluated to determine the conformation and depth of the ST.

The aim of this study was to check the relevance of using in-vivo micro computed tomography (µCT) for the diagnosis of possible diseases of the middle and inner ear of the cat. Therefore, on the one hand, differences of the detail detectability between the two imaging methods conventional computed tomography (cCT) and in-vivo µCT were analyzed. Six healthy cat ears were dissected and scanned several times and the obtained images were compared with each other. On the other hand, histological slices of all ears were prepared and pictures of defined anatomical structures were taken and compared with the identical sectional plane of the µCT-images. This way it was possible to evaluate the quality and clinical limitations of the in-vivo µCT. The results show that an in-vivo µCT is suitable to analyze even the smallest osseous structures, such as the semicircular ducts, the spiral osseous lamina or the ossicles whereas with the help of cCT it is not possible to identify such small osseous structures because of their blurred and less detailed representation. Delicate soft tissue structures as the membranous labyrinth including hearing and vestibular organ cannot be differentiated with as well in-vivo µCT- as with cCT-images. In-vivo µCT represent a good possibility for more detailed diagnosis of extremely fine structures which cannot be detected with cCT. Histological slices can nonetheless not be replaced by in-vivo µCT due to a too low spatial resolution and the limitations of the in-vivo µCT with regard to the evaluation of soft tissue dense structures., (© 2019 Blackwell Verlag GmbH.)

A case report of a 94-year-old, previously well male patient who presented with fever thought to be caused by community acquired pneumonia, new unilateral hearing loss and reduced consciousness. Despite antibiotic treatment he continued to deteriorate. Brain imaging with computer tomography and magnetic resonance imaging revealed a left otomastoiditis with osteomyelitis of the skull base, associated with an adjacent subdural empyema. He was also found to have a venous sinus thrombosis, most likely secondary to otitis media. He was managed with intravenous antibiotics, anticoagulation, grommet insertion and a hearing aid and he made a good recovery. This case reminds us to consider otitis media in older patients who present with hearing loss and fever. Otitis media can lead to serious complications including subdural empyema and osteomyelitis of the skull base., (© The Author(s) 2019. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: This study evaluates otitis media in prehistoric populations in northern Chile., Aims/objectives: Determining prevalence of otitis media and diagnostic usefulness of temporal-bone X-rays in skulls., Materials and Methods: 444 skulls belonging to three groups: prehistoric-coastal (400-1000 AD), prehistoric-highland (400-1000 AD) and Pisagua-Regional Developments (1000-1450 AD). Skulls were evaluated visually and with Schuller's view X-rays. Five skulls diagnosed as having had otitis media, five diagnosed as normal, and one with temporal bone fistula also had a computed tomography (CT)., Results: Changes suggestive of otitis media were present in Prehistoric-coastal 53.57%; Pisagua-Regional Developments 70.73%; prehistoric-highlands 47.90%. Diagnostic effectiveness of Schuller's view X-rays for assesing middle ear disease was confirmed by CT studies. The case with temporal bone fistula had changes suggestive of mastoiditis and possible post auricular abscess., Conclusions: There was a high prevalence of otitis media in prehistoric populations in Chile. The higher prevalence in one group was presumably due to racial factors. Temporal-bone X-rays are effective for massive evaluation of ear disease in skulls. A case of mastoiditis with temporal bone fistula and possible post-auricular abscess is documented., Significance: Documenting racial factors in otitis media. Validating X-rays for massive evaluation of otitis media in skulls.