Results The monosyllable WRS and the 50% threshold of signal-to-noise ratio (SNR50) were significantly better in all aided conditions. The head shadow effect, assessed by the SNR50 via CMNmatrix test improved an average of 2.6 dB after 30 days' wearing compared with unaided condition (P less then 0.001). The APHAB scores improved (P less then 0.05) for all subjects for the Global and Ease of Communication, Reverberation, Background Noise subscales. The SSQ scores improved (P less then 0.05) for all subjects for Speech, Spatial and Qualities of Hearing subscales. Conclusion The SoundBite is a good alternative to the well-established implantable bone conduction devices in patients with SSD. An improvement in listening ability in noise and quiet as well as a decrease of the head shadow effect is validated as the expected.Objective To analyze the clinical characteristics of Chenopodiaceae pollen induced seasonal allergic rhinitis (SAR) as well as the distribution and sensitization characteristics of Chenopodiaceae pollen in Inner Mongolia grassland of northern China. Methods From May 2015 to August 2015, using stratified, cluster and random sampling, a field interviewer-administered survey study and skin prick test (SPT) were conducted in six areas of Inner Mongolia grassland (Xilinhot, Erenhot, Duolun, Tongliao, Jarud, Kailu), and pollen monitoring was carried out in the above six areas from January 1 to December 31 of 2015. The clinical characteristics of Chenopodiaceae pollen induced SAR, distribution and sensitization characteristics of Chenopodiaceae pollen in these regions were observed. SAS software 9.4 was used for data processing. Results A total of 6 043 subjects completed the study. The prevalence of Chenopodiaceae pollen induced SAR was 13.2% (795/6 043). The highest prevalence was found in the 18-39 age group. Subsitive rate of Chenopodiaceae pollen was 21.2% (1 282/6 043), and Xilinhot had the highest rate in six regions (28.0%, 236/842). Conclusions The prevalence of Chenopodiaceae pollen induced SAR in Inner Mongolia grassland stays at a high level. Sneezing is the most obvious symptom of SAR. The peak of Chenopodiaceae pollen spread is in August and the prevalence of Chenopodiaceae pollen induced SAR is positively correlated with the pollen concentration.Objective To investigate the outcomes of masseter nerve-innervated free gracilis muscle transfer for smile reanimation in adults and to explore surgical indications. Methods A retrospective chart review of 37 patients (11 males, 26 females, with (40.3±12.7) years old)who underwent masseter nerve-innervated free gracilis muscle transfer for smile reanimation between 2016 and 2017 was performed. Patient-reported quality of life (facial clinimetric evaluation, FaCE), physician-reported facial function (eFACE facial grading scale), and oral commissure excursion were compared preoperatively and postoperatively. SPSS 11.0 software was used to analyze the data. Results Thirty-seven patients were followed up in one year after surgery. Significant postoperative improvements were demonstrated for commissure excursion with smile (preoperatively (-1.2±3.1) mm, postoperatively (6.1±3.5) mm, t=-31.1, P less then 0.01), ipsilateral FaCE (preoperatively (29.4±14.1), postoperatively (57.6±23.4), t=-38.1, P less then 0.01), eFACE score (Composite score t=-35.8, Static score t=-29.1, Dynamic score t=-41.3,Midface score t=-43.9, all P less then 0.01), respectively. Conclusion Masseter nerve-innervated free gracilis muscle transfer is an good option for dynamic smile reanimation in adult patients who have undergone treatment for long-standing facial paralysis.Objective To investigate the clinical features, diagnoses and treatments of head and neck occupying lesions in newborns. Methods All newborns with head and neck occupying lesions admitted to Neonatel Intensive Care Unit of the First Affiliated Hospital of Zhengzhou University form January 2014 to November 2019 were included. There were 23 males and 17 females, admission age was from 2 d-28 d, and the clinical manifestations, examinations, treatments and outcomes were evaluated. Results Among 40 newborns with head and neck occupying lesions, 22 cases were admitted with dyspnea, 15 cases with masses in oral cavity or head and neck, 2 cases with fever as the first symptom, and 1 case with hoarseness as the first symptom. There were 5 cases with local infection. All cases were examined with local ultrasound and CT or MRI. Nine cases with severe dyspnea were treated with invasive ventilationm, of them 6 cases underwent invasive ventilation for more than 48 hours, 4 cases received tracheal intubation and artificial nose. Selleckchem Caspase Inhibitor VI Diagnostic punctures were performed in 2 cases. Seven cases received conservative treatments. Surgeries were performed in 31 cases, and 25 cases obtained pathologic diagnoses, including 3 cases of soft palate mature teratomas, 1 case of hard palate teratoma, 1 case of granulosa cell tumor, 1 case of lobulated spindle cell tumor in tongue base, 1 case of polyp in right glottis, 1 case of polyp at esophageal entrance, 4 cases of lingual root cysts, 1 case of laryngeal cyst, 2 cases of thyroglossal duct cysts, 2 cases of lymphangiomas, 1 case of lymphangioma with hibernoma, 1 case of tracheal cyst, 1 case of esophageal cyst, 3 cases of left neck abscesses, 1 case of occipital hemangioma, and 1 case of left temporoparietal abscess. Conclusions The head and neck occupying lesions in the newborn is prone to upper airway obstruction. Imaging examination can assist the diagnosis. Different treatments can be selected according to the natures of occupying lesions.Objective To explore the possibility of using artificial intelligence (AI) technology based on convolutional neural network (CNN) to assist the clinical diagnosis of laryngeal squamous cell carcinoma (LSCC) through deep learning algorithm. Methods A deep CNN was developed and applied in narrow band imaging (NBI) endoscopy of 4 799 patients with laryngeal lesions, including 3 168 males and 1 631 females, aged from 21 to 87 years, from 2015 to 2017 in Beijing Tongren Hospital, Capital Medical University. A simple randomization method was used to select the laryngeal NBI images of 2 427 patients (1 388 benign lesions and 1 039 LSCC lesions) for the training and correction the CNN model. The remaining laryngeal NBI images of 2 372 patients (including 1 276 benign lesions and 1 096 LSCC lesions) were used as validation data set to compare performance between CNN and otolaryngologists. SPSS 21.0 software was used for Chi-square test to calculate the accuracy, sensitivity and specificity of AI and otolaryngologists.