Role of CT Mastoids in the Diagnosis and Surgical Management of Chronic Inflammatory Ear Diseases

Definite therapy of mixed infection alleviates refractory dilemma of adult chronic suppurative otitis media

The characteristics, risk factors, microbial distributions and effective treatment regimens for Chronic suppurative otitis media (CSOM) patients intractable to empirical therapy were analyzed. Adult CSOM patients of China Medical University Hospital from 2018 to 2020 were included. Subjects of refractory and non-refractory groups were investigated for characteristics of age, sex, nation, comorbidities, otomycosis, and associated complications. Risk factors, microbiology distributions, and treatment regimens were analyzed. Twenty-six refractory patients (55.0 ± 17.7 years) and 66 non-refractory patients (54.1 ± 13.7 years) were studied. A significantly higher rate of otomycosis and CSOM complications was observed in refractory group than in non-refractory one (73.1% vs. 36.4%; p = 0.002; 57.7% vs. 10.6%, p < 0.001, respectively). Multivariate analysis revealed atopic diathesis (p = 0.048), otomycosis (p = 0.003) and CSOM complications (p < 0.001) were risk factors of refractory CSOM. Coagulase-negative staphylococci (CoNS) and methicillin-resistant Staphylococcus aureus (MRSA) were the prevailing pathogens. Patients of refractory group tented to have higher rates of mixed infection (42.9%% vs. 23.7%) and significantly more included fungal pathogen (19.0% vs. 2.6%; p = 0.049) than those of non-refractory cohort. Topical treatment of fungus significantly improved outcome of refractory CSOM. Atopic diathesis, otomycosis, and CSOM-associated complications were risk factors of refractory CSOM. Systemic and local treatment to possible drug-resistant pathogens, likely CoNS and fungus, possible improves recalcitrant CSOM. Correspondingly, early identification of CSOM complications, routine culture and susceptibility testing and treatment of resistant bacteria and fungus are key elements to the successful management of adult CSOM.

Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network

OBJECTIVES

Chronic suppurative otitis media (CSOM) and middle ear cholesteatoma (MEC) are the 2 most common chronic middle ear diseases. In the process of diagnosis and treatment, the 2 diseases are prone to misdiagnosis and missed diagnosis due to their similar clinical manifestations. High resolution computed tomography (HRCT) can clearly display the fine anatomical structure of the temporal bone, accurately reflect the middle ear lesions and the extent of the lesions, and has advantages in the differential diagnosis of chronic middle ear diseases. This study aims to develop a deep learning model for automatic information extraction and classification diagnosis of chronic middle ear diseases based on temporal bone HRCT image data to improve the classification and diagnosis efficiency of chronic middle ear diseases in clinical practice and reduce the occurrence of missed diagnosis and misdiagnosis.

METHODS

The clinical records and temporal bone HRCT imaging data for patients with chronic middle ear diseases hospitalized in the Department of Otorhinolaryngology, Xiangya Hospital from January 2018 to October 2020 were retrospectively collected. The patient's medical records were independently reviewed by 2 experienced otorhinolaryngologist and the final diagnosis was reached a consensus. A total of 499 patients (998 ears) were enrolled in this study. The 998 ears were divided into 3 groups: an MEC group (108 ears), a CSOM group (622 ears), and a normal group (268 ears). The Gaussian noise with different variances was used to amplify the samples of the dataset to offset the imbalance in the number of samples between groups. The sample size of the amplified experimental dataset was 1 806 ears. In the study, 75% (1 355) samples were randomly selected for training, 10% (180) samples for validation, and the remaining 15% (271) samples for testing and evaluating the model performance. The overall design for the model was a serial structure, and the deep learning model with 3 different functions was set up. The first model was the regional recommendation network algorithm, which searched the middle ear image from the whole HRCT image, and then cut and saved the image. The second model was image contrast convolutional neural network (CNN) based on twin network structure, which searched the images matching the key layers of HRCT images from the cut images, and constructed 3D data blocks. The third model was based on 3D-CNN operation, which was used for the final classification and diagnosis of the 3D data block construction, and gave the final prediction probability.

RESULTS

The special level search network based on twin network structure showed an average AUC of 0.939 on 10 special levels. The overall accuracy of the classification network based on 3D-CNN was 96.5%, the overall recall rate was 96.4%, and the average AUC under the 3 classifications was 0.983. The recall rates of CSOM cases and MEC cases were 93.7% and 97.4%, respectively. In the subsequent comparison experiments, the average accuracy of some classical CNN was 79.3%, and the average recall rate was 87.6%. The precision rate and the recall rate of the deep learning network constructed in this study were about 17.2% and 8.8% higher than those of the common CNN.

CONCLUSIONS

The deep learning network model proposed in this study can automatically extract 3D data blocks containing middle ear features from the HRCT image data of patients' temporal bone, which can reduce the overall size of the data while preserve the relationship between corresponding images, and further use 3D-CNN for classification and diagnosis of CSOM and MEC. The design of this model is well fitting to the continuous characteristics of HRCT data, and the experimental results show high precision and adaptability, which is better than the current common CNN methods.

Correlation of Pre-operative Temporal Bone CT Scan Findings with Intraoperative Findings in Chronic Otitis Media: Squamous Type

To correlate the pre-operative Temporal Bone High Resolution Computer Tomography (HRCT) Scan findings with intraoperative findings in Chronic Otitis Media-Squamous type. This prospective, correlative, observational study was done at Department of Otorhinolaryngology and Head and Neck Surgery, Tribhuvan University Teaching Hospital, Kathmandu. 156 patients underwent mastoid surgery under General Anaesthesia from October 2017 to November 2018. Ethical committee approval taken from the institutional review committee. Informed consent regarding the study was taken prior to surgery. The peroperative findings were correlated with preoperative HRCT findings. Cohen's kappa coefficient (k-value) was used to estimate the degree of correlation. Statistical analysis was done using SPSS version 25. Total 156 patients between 8 and 70 years of age were enrolled in the study. Presence of cholesteatoma/granulation on HRCT scan was found with 100% sensitivity with k-value of 0.569 denoting fair agreement. Regarding ossicular status, malleus showed maximum k-value of 0.525 with sensitivity of 81.3% followed by stapes and incus with k-value of 0.308 and 0.380 and sensitivity of 68.3% and 70.2% respectively. Sinus plate status showed perfect radiosurgical agreement with k-value of 1.0 and sensitivity and specificity of 100%. Bony facial canal demonstrated slight agreement with k-value of 0.506 and sensitivity of 45.8%. Dural plate status showed fair agreement with k-value of 0.503 and sensitivity of 38.9%. For Lateral Semicircular Canal (LSCC) erosion, we found very good agreement with k-value of 0.893 with sensitivity of 90.9%. Preoperative HRCT scan temporal bone correlates well for the detection of disease presence and shows good radiosurgical agreement for sinus plate erosion, LSCC erosion but fair agreement for dural plate erosion and malleus erosion. Plain HRCT scan with 3-D reconstruction is a poor predictor of bony facial canal, incus and stapes erosion.

Role of High Resolution Computed Tomography of Temporal Bone in Patients with Cholesteatoma, in a Tertiary Care Health Center

The aim of this study is to evaluate the necessity of high resolution computed tomography (HRCT) temporal bone in patients with active squamosal chronic otitis media, by comparing the preoperative HRCT temporal bone findings with intra operative findings in a tertiary care health center where patient load is tremendous.This study was conducted in the department of otorhinolaryngology, over a period of two years from November 2017 to November 2019 in which 100 patients with active squamosal chronic otitis media diagnosed clinically were taken. All patients underwent preoperative HRCT temporal bone and subsequent tympanomastoidectomy.The results of HRCT temporal bone of all the patients were evaluated and correlated with intraoperative findings which revealed that HRCT is highly sensitive for detecting,soft tissue extension, tympanic membrane perforation, ossicular erosion, tegmen erosion, sigmoid sinus erosion, facial canal dehiscence and lateral semicircular canal fistula, which helps in guiding the surgical approach and treatment plan preoperatively.

High-resolution computed tomography (HRCT) in pediatric and adult patients with unsafe chronic suppurative otitis media (CSOM) and its surgical correlation

Background and Aim:

Atticoantral, alias unsafe type of CSOM affects the posterosuperior part of the middle ear cleft and is frequently coupled with complications and bony erosions. This study aimed to correlate the high-resolution computed tomography (HRCT) temporal bone and intraoperative findings in the patients with the unsafe type of CSOM.

Methods:

This prospective study included 50 patients (28 males: 22 females; mean age 24 ± 14 years) who presented with clinically suspected unsafe CSOM. All patients underwent HRCT of the temporal bone and subsequent surgical procedure. The intraoperative and histopathological findings were compared with HRCT findings. Descriptive statistics, sensitivity, specificity, and positive and negative predictive value for HRCT were calculated. Student's t-test and Chi-square test were performed.

Results:

Out of 50 patients, left, right, and bilateral ear involvement were seen in 42% (21/50), 38% (19/50), and 20% (10/50) patients, respectively. Ear discharge was the most common symptom (100%) followed by earache (66%), vertigo (16%), and tinnitus (14%), respectively. Cholesteatoma was reported in 82% (49/60) of ears on HRCT while histopathological and intraoperative evaluation confirmed the diagnosis in 40 out of 49 ears. In 18% (11/60) ears, the cholesteatoma was not diagnosed on HRCT evaluation; however, the intraoperative and histopathological assessment revealed cholesteatoma in six patients while the rest had granulation tissue. For detection of ossicular erosions, tegmen erosions, erosions of facial nerve canal, erosions of sigmoid sinus plate, and erosions of lateral/posterior semicircular canals; HRCT had high sensitivity (86.44%–100%) and specificity (93.33%–100%).

Conclusion:

HRCT has a superb correlation with intraoperative findings and is a valuable tool for preoperative assessment of temporal bone pathologies.

The Correlation Between Preoperative Findings of High-Resolution Computed Tomography (HRCT) and Intraoperative Findings of Chronic Otitis Media (COM)

Objectives:

The aim of this study was to investigate the correlation between the preoperative findings of high-resolution computed tomography (HRCT) of temporal bone in chronic otitis media (COM) and the intraoperative findings.

Methods:

This retrospective study was conducted in the ORL-HNS Unit at Ohud Hospital, Medina, Saudi Arabia, during the period from January to September 2018. We included all patients with COM, and an informed consent was obtained from all participants. The HRCT images were studied in comparison with the intraoperative findings. The parameters of comparison were tympanic membrane, middle ear structures, and the status of cholesteatoma.

Results:

A total of 39 patients were included in the analysis: 14 male and 25 female patients. The age range was 9 to 50 years. As a result of the comparison between HRCT findings and intraoperative observations, we found that incus erosion through computed tomography (CT) was the same as during surgical observation in 12 cases (30.8%). Malleus appeared eroded on CT in 1 case (2.6%); however, 5 cases were seen with that observation during operation (12.8%). Cholesteatoma was similarly seen in the CT scan and during surgery with a significant relation between intraoperative cholesteatoma extending and HRCT findings of the disease (95% confidence level, P-value = 0.001). The sensitivity, specificity, positive predictive value, and negative predictive value were 100% for detecting sigmoid plate erosion, dura exposure, incus erosion, stapes erosion, and malleus-incus joint discontinuity through preoperative CT.

Conclusions:

Intraoperative findings and HRCT have shown better results with good correlation of diagnostic value regarding the comparisons between recorded observations, especially in detecting sigmoidal plate erosion, dural exposure, incus and stapes erosion, and malleus-incus joint discontinuity. Preoperative CT scan is beneficial and contributory in the decision of indicating surgery to patients.