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Objective: Betahistine is a histamine-like drug that is used in the treatment of Ménière's disease. It is commonly believed that betahistine increases cochlear blood flow and thus decreases the endolymphatic hydrops that is the cause of Ménière's. Despite common clinical use, there is little understanding of the kinetics or effects of its metabolites. This study investigated the effect of the betahistine metabolites aminoethylpyridine, hydroxyethylpyridine, and pyridylacetic acid on cochlear microcirculation. Design: Guinea pigs were randomly assigned to one of the groups: placebo, betahistine, or equimolar amounts of aminoethylpyridine, hydroxyethylpyridine, or pyridylacetic acid. Cochlear blood flow and mean arterial pressure were recorded for three minutes before and 15 minutes after treatment. Study sample: Thirty Dunkin-Hartley guinea pigs assigned to one of five groups with six guinea pigs per group. Results: Betahistine, aminoethylpyridine, and hydroxyethylpyridine caused a significant increase in cochlear blood flow in comparison to placebo. The effect seen under aminoethylpyridin was greatest. The group treated with pyridylacetic acid showed no significant effect on cochlear blood flow. Conclusion: Aminoethylpyridine and hydroxyethylpyridine are, like betahistine, able to increase cochlear blood flow significantly. The effect of aminoethylpyridine was greatest. Pyridylacetic acid had no effect on cochlear microcirculation. [ABSTRACT FROM AUTHOR]

We aimed to investigate the effects of 18 F-FDG PET voxel intensity normalization on radiomic features of oropharyngeal squamous cell carcinoma (OPSCC) and machine learning-generated radiomic biomarkers. Methods: We extracted 1,037 18 F-FDG PET radiomic features quantifying the shape, intensity, and texture of 430 OPSCC primary tumors. The reproducibility of individual features across 3 intensity-normalized images (body-weight SUV, reference tissue activity ratio to lentiform nucleus of brain and cerebellum) and the raw PET data was assessed using an intraclass correlation coefficient (ICC). We investigated the effects of intensity normalization on the features' utility in predicting the human papillomavirus (HPV) status of OPSCCs in univariate logistic regression, receiver-operating-characteristic analysis, and extreme-gradient-boosting (XGBoost) machine-learning classifiers. Results: Of 1,037 features, a high (ICC ≥ 0.90), medium (0.90 > ICC ≥ 0.75), and low (ICC < 0.75) degree of reproducibility across normalization methods was attained in 356 (34.3%), 608 (58.6%), and 73 (7%) features, respectively. In univariate analysis, features from the PET normalized to the lentiform nucleus had the strongest association with HPV status, with 865 of 1,037 (83.4%) significant features after multiple testing corrections and a median area under the receiver-operating-characteristic curve (AUC) of 0.65 (interquartile range, 0.62-0.68). Similar tendencies were observed in XGBoost models, with the lentiform nucleus-normalized model achieving the numerically highest average AUC of 0.72 (SD, 0.07) in the cross validation within the training cohort. The model generalized well to the validation cohorts, attaining an AUC of 0.73 (95% CI, 0.60-0.85) in independent validation and 0.76 (95% CI, 0.58-0.95) in external validation. The AUCs of the XGBoost models were not significantly different. Conclusion: Only one third of the features demonstrated a high degree of reproducibility across intensity-normalization techniques, making uniform normalization a prerequisite for interindividual comparability of radiomic markers. The choice of normalization technique may affect the radiomic features' predictive value with respect to HPV. Our results show trends that normalization to the lentiform nucleus may improve model performance, although more evidence is needed to draw a firm conclusion., (© 2024 by the Society of Nuclear Medicine and Molecular Imaging.)

Background : Adherence to dermatological treatment is described as poor. Empathy and open communication in the physician-patient relationship has been proven to improve adherence. As direct-to-consumer teledermatology enables patients to access dermatological consultations without in-person interactions, we hypothesized treatment adherence in teledermatology to be low. Methods : The objective of the study was to examine treatment adherence in teledermatology. This retrospective cross-sectional study used data from patients treated through a German direct-to-consumer teledermatology platform between July 2021 and April 2022. Additional information was collected through voluntary follow-up questionnaires provided to patients to assess individual treatment success, treatment-related adverse events, and treatment adherence. Results : Data collection included 771 patients; 61.6% (475/771) were women (mean age 35 years). In 46% (355/771), skin disease had been present for <3 months before teleconsultation. Of all patients who answered the follow-up questionnaire ( n  = 228), 28.5% (65/228) reported treatment-related adverse events, with skin dryness being the most common (56.9%, 37/65). Adverse events resulting in treatment discontinuation were reported in 1.3% (3/228) of all cases. Improvement in skin condition on therapy was described by 75.4% (172/228). In 85.5% (195/228), full treatment adherence was reported. Conclusion : This is the first study worldwide to examine data on treatment adherence in direct-to-consumer-teledermatology. Despite the lack of doctor-patient interaction, the results of our study demonstrate that most patients show high treatment adherence. Possible drivers contributing to high compliance rates could be the high proportion of new-onset skin diseases, the high treatment success of the prescribed therapies, and the low rate of serious adverse events.

We report the case of an 11-year-old girl with difficultly speaking and a history of singular, self-limiting oral bleeding. Clinical and radiological examination in the emergency room showed a vascularized tumor of the base of the tongue, which almost completely occluded the oropharynx. After complex anesthesiologic preparation and endoluminal embolization, the tumor was safely removed by transoral laser microsurgery. Histology revealed a rare benign schwannoma of the oropharynx. Further clinical examinations and genetic screening were recommended., (© 2022. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)

Background: The continued advancement of digitalization increasingly allows deployment of artificial intelligence (AI) algorithms, leveraging profound effects on society and medicine., Objective: This article aims to provide an overview of current developments and futures perspectives of AI in otorhinolaryngology., Materials and Methods: Scientific studies and expert analyses were evaluated and discussed., Results: AI can increase the value of current diagnostic tools in otorhinolaryngology and enhance surgical precision in head and neck surgery., Conclusion: AI has the potential to further improve diagnostic and therapeutic procedures in otorhinolaryngology. This technology, however, is associated with challenges, for example in the domain of privacy and data security., (© 2021. The Author(s).)