Novel evaluation method for facial nerve palsy using 3D facial recognition system in iPhone.

OBJECTIVE: While subjective methods like the Yanagihara system and the House-Brackmann system are standard in evaluating facial paralysis, they are limited by intra- and inter-observer variability. Meanwhile, quantitative objective methods such as electroneurography and electromyography are time-consuming. Our aim was to introduce a swift, objective, and quantitative method for evaluating facial movements. METHODS: We developed an application software (app) that utilizes the facial recognition functionality of the iPhone (Apple Inc., Cupertino, USA) for facial movement evaluation. This app leverages the phone's front camera, infrared radiation, and infrared camera to provide detailed three-dimensional facial topology. It quantitatively compares left and right facial movements by region and displays the movement ratio of the affected side to the opposite side. Evaluations using the app were conducted on both normal and facial palsy subjects and were compared with conventional methods. RESULTS: Our app provided an intuitive user experience, completing evaluations in under a minute, and thus proving practical for regular use. Its evaluation scores correlated highly with the Yanagihara system, the House-Brackmann system, and electromyography. Furthermore, the app outperformed conventional methods in assessing detailed facial movements. CONCLUSION: Our novel iPhone app offers a valuable tool for the comprehensive and efficient evaluation of facial palsy.

The Effect of Noise on Deep Learning for Classification of Pathological Voice.

OBJECTIVE: This study aimed to evaluate the significance of background noise in machine learning models assessing the GRBAS scale for voice disorders. METHODS: A dataset of 1406 voice samples was collected from retrospective data, and a 5-layer 1D convolutional neural network (CNN) model was constructed using TensorFlow. The dataset was divided into training, validation, and test data. Gaussian noise was added to test samples at various intensities to assess the model's noise resilience. The model's performance was evaluated using accuracy, F1 score, and quadratic weighted Cohen's kappa score. RESULTS: The model's performance on the GRBAS scale generally declined with increasing noise intensities. For the G scale, accuracy dropped from 70.9% (original) to 8.5% (at the highest noise), F1 score from 69.2% to 1.3%, and Cohen's kappa from 0.679 to 0.0. Similar declines were observed for the remaining RBAS components. CONCLUSION: The model's performance was affected by background noise, with substantial decreases in evaluation metrics as noise levels intensified. Future research should explore noise-tolerant techniques, such as data augmentation, to improve the model's noise resilience in real-world settings. LEVEL OF EVIDENCE: This study evaluates a machine learning model using a single dataset without comparative controls. Given its non-comparative design and specific focus, it aligns with Level 4 evidence (Case-series) under the 2011 OCEBM guidelines Laryngoscope, 2024.

Validation of indications for enucleation for benign parotid gland tumors.

BACKGROUND: Enucleation has been reported as a minimally invasive surgery for Warthin's tumor (WT). However, the definite indications for enucleation have not been clarified. METHODS: Enucleation was indicated by the following findings: findings of WT, cystic fluid, or benign leukocytes by fine-needle aspiration cytology; a well-margined and homogeneous pattern on imaging; and a tumor location in the tail or preauricular area of the parotid gland. We reviewed 552 cases treated with parotid gland surgery in our hospital. RESULTS: A total of 108 tumors were treated with enucleation and included no malignant solid tumors or pleomorphic adenoma. Enucleation demonstrated low invasiveness and complication rates. Revision surgery for WT reappearance after enucleation was rare and showed minimal scarring, with a lower risk of facial weakness. CONCLUSIONS: The indication criteria for enucleation were validated. Such enucleation is useful, as it is associated with minimal invasiveness, low complication rates, and safety in revision surgery.

Long-Term Outcomes of End-Flexible-Rigidscopic Transoral Surgery for Pharyngolaryngeal Cancer.

OBJECTIVE: End-flexible-rigidscopic transoral surgery (E-TOS) is a new and minimally invasive transoral surgery for resection of Tis-selected T3 pharyngolaryngeal cancers. We evaluated long-term oncological outcomes and whether postoperative voice and swallowing function were preserved following E-TOS. METHODS: In this retrospective single-center study, 154 patients treated with E-TOS using a curved retractor, flexible-tip rigid endoscope, and thin curved instruments were included. Their survival rate, larynx preservation rate, and disease control rate were estimated using the Kaplan-Meier method. Postoperative voice function was evaluated using both objective and subjective tests. Postoperative swallowing function was assessed using the Hyodo score and the functional outcome swallowing scale. RESULTS: The 3-year and 5-year overall survival, disease-specific survival, disease-free survival, laryngectomy-free survival, local control, and loco-regional control rates post E-TOS were 89.8% and 82.2%, 95.6% and 92.3%, 78.5% and 70.3%, 87.2% and 80.9%, 93.9% and 92.5%, and 87.2% and 85.7%, respectively. Both objective and subjective postoperative voice and swallowing function tests were within normal limits in more than 90% of the patients. CONCLUSION: E-TOS is an effective, safe, low-cost, and minimally invasive transoral surgery for Tis-selected T3 pharyngolaryngeal cancer; it also preserves postoperative voice, larynx, and swallowing function. LEVEL OF EVIDENCE: 4 Laryngoscope, 133:1415-1424, 2023.

Impact of Changing Surgical Strategies on Clinical Outcomes in Patients with Parotid Carcinoma: A 53-Year Single-Institution Experience.

Background and Objectives: We investigated the clinical outcomes of patients who underwent surgery for parotid carcinoma in a single institution during a 53-year period. This study aimed to estimate the impact of changing the surgical approach to parotid carcinoma on clinical outcomes including the incidence rate of the facial nerve palsy. Materials and Methods: Sixty-seven patients with parotid carcinoma who underwent surgery between 1966 and 2018 were retrospectively reviewed. Group A consisted of 29 patients who underwent surgery from 1966 to 2002, and Group B consisted of 38 patients from 2002 to 2018. Treatment outcomes were estimated. Additionally, candidate prognostic factors of Group B, the current surgical approach group, were evaluated. Results: Partial parotidectomy and total parotidectomy were performed in 35 and 32 patients, respectively. Partial parotidectomy was performed in 4 patients in Group A and 31 patients in Group B, with a predominant increase in Group B. The facial nerve was preserved in 43 patients, among whom 8 in Group A (8/17; 47.1%) and 7 in Group B (7/26; 26.9%) had temporary postoperative facial nerve palsy. Postoperative radiotherapy was performed on 35 patients. The 5-year OS, DSS, and DFS rates for Group A were 77.1%, 79.9%, and 71.5%, respectively. The 5-year OS, DSS, and DFS rates for Group B were 77.1%, 77.1%, and 72.4%, respectively. Clinical T4 stage, clinical N+ stage, stage IV disease, and tumor invasion of the facial nerve were independent prognostic factors in Group B. Conclusions: The incidence of facial nerve palsy in the current surgical approach group decreased compared with that in the previous surgical approach group. The current surgical management and treatment policies for parotid carcinoma have led to improved outcomes.

Objective Assessment of Pathological Voice Using Artificial Intelligence Based on the GRBAS Scale.

OBJECTIVES: The validity and reliability of the psychological assessment of auditory perceptions, as typified by the grade, roughness, breathiness, asthenia, and strain (GRBAS) scale, have been widely recognized. However, due to their subjective nature, inter- and intra-examiner reliability are unavoidable. In this study, we aimed to add objectivity to the GRBAS scale using artificial intelligence and to compare the accuracy of two methods-one based on Google's TensorFlow and another based on Apple's Core ML. METHODS: The GRBAS scale of 1,377 vowel samples was evaluated and used as training data to create a machine learning model. We used TensorFlow and Apple's Create ML to create two machine learning models and examined the difference in their accuracies for classifying the severity of pathological Voice data based on the GRBAS scale. RESULTS: Absolute comparisons are difficult to make because of the difference in methods; however, both training models could objectively evaluate GRBAS scales and were statistically correlated in G and B. CONCLUSION: While TensorFlow requires creation of a training model from scratch, Create ML is a relatively easy way to create a training model for voice by adding training data for GRBAS scales to an existing training model for sounds. Although the data handling and learning methods are different, both models performed well. Findings from this study could be used for medical screening purposes, and there is the potential to change the clinical approach to voice diagnostics in the future.

A New Device for Fine-Needle Aspiration Cytology Consisting of a Vibrating Linear Resonant Actuator.

OBJECTIVE: To evaluate the efficacy of a new device for fine-needle aspiration cytology (FNAC) consisting of a vibrating linear resonant actuator (LRA). STUDY DESIGN: Prospective clinical study. METHODS: The LRA frequency was optimized by visualization of the needle motion using a high-speed camera. The FNAC device consists of a vibrating motor fixed to the stopper of a 5-ml syringe and piston. Upon insertion of the syringe needle into a thyroid nodule (with the stopper attached to the syringe piston), sufficient negative pressure with 1-ml suction was maintained. Subsequently, samples were obtained using vibration generated by an LRA or an eccentric rotating mass (ERM). Surgically resected thyroid specimens from 10 patients were evaluated. The number of follicular groups required for adequate diagnosis and the number of larger follicular groups were counted. Next, 254 thyroid nodules from 187 patients were also evaluated by FNAC. The inadequacy rate was determined, and final cytology was classified according to thyroid Bethesda categories. RESULTS: The optimized LRA frequency was 155 Hz. Both the LRA and ERM devices resulted in sufficient amounts of diagnostic material and achieved low inadequacy rates. The number of large follicular groups obtained was significantly greater with the LRA device compared with the ERM device. CONCLUSIONS: The vibrating device using an LRA for thyroid FNAC resulted in sufficient amounts of thyroid follicular groups and achieved low inadequacy rates. In addition, the LRA device allowed for collection of larger follicular groups sufficient to diagnose appropriate thyroid Bethesda categories. LEVEL OF EVIDENCE: 2 Laryngoscope, 131:E1393-E1399, 2021.

Successful treatment of eosinophilic chronic rhinosinusitis and eosinophilic otitis media using the anti-IL-5 receptor monoclonal antibody benralizumab: A case report.

Eosinophilic chronic rhinosinusitis (ECRS) is characterized by the presence of nasal polyps, dominant ethmoid shadows in computed tomography (CT) scans, and elevated levels of eosinophil infiltration into the nasal polyps and peripheral blood. ECRS is often accompanied by severe asthma. The recent development of monoclonal antibody-based biologics, including benralizumab, has offered new therapeutic approaches for the treatment of asthma and allergic diseases. Asthma and ECRS are closely related; hence, benralizumab could provide clinical benefit in ECRS patients with severe asthma. Herein, we report a case of a 47-year-old female patient with severe asthma that presented with nasal obstruction and hearing impairment. Nasal endoscopic and otoscopic examinations indicated the presence of bilateral nasal polyps in the middle nasal meatus, as well as a bilateral effusion in the tympanic cavity. Sinus and temporal CT images showed dominant ethmoid sinus and tympanic cavity shadows. Biopsy of nasal polyps revealed high numbers of eosinophils, which led to the diagnosis of ECRS; eosinophilic otitis media (EOM) with hypereosinophilia was also suspected. Treatment with benralizumab reduced the number of peripheral blood eosinophils and improved asthma symptoms. Prolonged benralizumab administration also resulted in a remarkable size reduction in bilateral middle nasal polyps and aeration of the tympanic cavity. In conclusion, benralizumab treatment improved the symptoms of severe asthma, ECRS, and EOM. Eosinophil depletion could be an important mechanism by which benralizumab improves ECRS and EOM. The use of benralizumab for the treatment of ECRS and EOM patients with severe asthma merits further investigation in large-cohort studies.