Radiologic evaluation and clinical assessment of facial sinus in adults and children - computed tomography study.

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.

Evaluation of Eustachian tube dimensions by temporal bone computed tomography in patients with chronic otitis media.

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.

Comparison of tympanometric volume measurement with temporal bone CT findings in the assessment of mastoid bone pneumatization in chronic otitis media patients.

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.

The Age-Related Growth of Mastoid Air Cells in Infancy: A Retrospective Cross-Sectional Study.

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.

In Vivo Optical Characterization of Middle Ear Effusions and Biofilms During Otitis Media.

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.

Comparison of Computed Tomography-Based Artificial Intelligence Modeling and Magnetic Resonance Imaging in Diagnosis of Cholesteatoma.

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.

[Analysis of the positive rate of otitis media in 1-12 years old children based on brain MRI].

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.

How advantageous is it to use computed tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?

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.

Value of simple otoscopy in diagnosing otitis media with effusion in children.

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.

Role of mastoid pneumatization in predicting tympanoplasty results: Will it have the same importance in different age groups?

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.

Radiological dimensions of the Eustachian tube in patients with adhesive otitis media.

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.

Morphological relationships between external auditory canal and vital structures of tympanic cavity.

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.

Locations and Predictive Factors of Hypertrophic Pachymeningitis in Otitis Media With Antineutrophil Cytoplasmic Antigen-Associated Vasculitis.

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.

Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?

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.

Radiological and Audiological Prediction for Ossicular Fixation in Chronic Otitis Media and Tympanic Membrane Perforation.

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.

[Analysis of spatial location of the malleus in patients with chronic otitis media based on 10 µm otology CT].

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 (Q1, Q3)) (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.

Effects of cigarette smoke on Haemophilus influenzae-induced otitis media in a rat model.

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.

Construction of an MRI-based decision tree to differentiate autoimmune and autoinflammatory inner ear disease from chronic otitis media with sensorineural hearing loss.

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.

Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approach.

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.

Deep metric learning for otitis media classification.

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.