Schwannomas are uncommon benign, slowly growing tumors that originate in peripheral, cranial, or autonomic nerves and are composed of Schwann cells in a collagenous matrix. Retroperitoneum is often the site of occurrence of schwannoma, but report on schwannoma of the adrenal gland is rare. We report a case of adrenal schwannoma. A 53 male had facial edema and paresthesia of extremities for 3 month. Incidentally adrenal mass was found on abdominal computer tomogram and exploration performed.
Adrenal Glands* ; Autonomic Pathways ; Collagen ; Edema ; Extremities ; Humans ; Male ; Neurilemmoma* ; Paresthesia ; Schwann Cells

Two prospective, multi-centre, observational studies (GlaxoSmithKline [GSK] identifier No. 110938 and 112519) were performed over 2 influenza seasons (2007–2008 and 2008–2009) in the Republic of Korea (ROK) with the aim to evaluate the burden of laboratory-confirmed influenza (LCI) in patients ≥ 50 years of age seeking medical attention for acute respiratory illness (ARI). The median participant age was 58 years in the 2007–2008 season and 60 years in the 2008–2009 season. LCI was observed in 101/346 (29.2%) of ARI patients in the 2007–2008 season and in 166/443 (37.5%) of ARI patients in the 2008–2009 season. Compared to patients with non-influenza ARI, those with LCI had higher rates of decreased daily activities (60.4% vs. 32.9% in 2007–2008 and 46.4% vs. 25.8% in 2008–2009), work absenteeism (51.1% vs. 25.6% and 14.4% vs. 7.7%), and longer duration of illness. These results indicated that influenza is an important cause of ARI in adults aged 50 and older causing more severe illness than non-influenza related ARI.
Absenteeism ; Adult* ; Cohort Studies* ; Epidemiology ; Humans ; Influenza, Human* ; Outpatients* ; Prospective Studies* ; Republic of Korea* ; Seasons

Purpose: The objective of this study was to propose a deep-learning model for the detection of the mandibular canal on dental panoramic radiographs. Materials and Methods: A total of 2,100 panoramic radiographs (PANs) were collected from 3 different machines: RAYSCAN Alpha (n=700, PAN A), OP-100 (n=700, PAN B), and CS8100 (n=700, PAN C). Initially, an oral and maxillofacial radiologist coarsely annotated the mandibular canals. For deep learning analysis, convolutional neural networks (CNNs) utilizing U-Net architecture were employed for automated canal segmentation. Seven independent networks were trained using training sets representing all possible combinations of the 3 groups. These networks were then assessed using a hold-out test dataset. Results: Among the 7 networks evaluated, the network trained with all 3 available groups achieved an average precision of 90.6%, a recall of 87.4%, and a Dice similarity coefficient (DSC) of 88.9%. The 3 networks trained using each of the 3 possible 2-group combinations also demonstrated reliable performance for mandibular canal segmentation, as follows: 1) PAN A and B exhibited a mean DSC of 87.9%, 2) PAN A and C displayed a mean DSC of 87.8%, and 3) PAN B and C demonstrated a mean DSC of 88.4%. Conclusion This multi-device study indicated that the examined CNN-based deep learning approach can achieve excellent canal segmentation performance, with a DSC exceeding 88%. Furthermore, the study highlighted the importance of considering the characteristics of panoramic radiographs when developing a robust deep-learning network, rather than depending solely on the size of the dataset.

OBJECTIVE: The aim of this study is to determine effects of nefazodone on depression, anxiety, sleep and sexual function in depressive patients. SUBJECTS AND METHODS: This is an open, non-comparative, multi-center study. Antidepressant and other clinical effects of nefazodone were evaluated in 230 patients of 26 centers, aged 14 years or more, who met DSM-IV criteria to major depressive disorder or dysthymic disorder and didn't have other psychiatric disorders and were physically healthy. The clinical efficacy was assessed at week 1, 2, 4 and 8 using Clinical Global Improvement (CGI), Hamilton Depression Scale (HAM-D), Beck Depression Inventory (BDI), State and Trait Anxiety Inventory-State Anxiety (STAI-SA). Other clinical effects were assessed with Weekly Sleep Questionnaire, Sexual Functioning Questionnaire and GHQ-QOL-12, a scale for quality of life. Adverse drug reactions were checked with a questionnaire. Post-treatment effects of drug were compared with pre-treatment baseline condition. RESULTS: The response rates by Clincal Grobal Improvement and HAM-D after 8 weeks treatment were 62.4% and 75.2% respectively. Comparing to baseline, nefazodone was proved to have significantly higher antidepressant and antianxiety effects in depressive patients and it improved also sleep, sexual functions and quality of life. Both patients and physicians satisfied with the effects of drug. Adverse drug reactions were a few and not serious, and most of them disappeared as treatment continued. CONCLUSION: These results suggest that not only nefazodone has antidepressant effects and antianxiety effects, but also it improves sleep disturbance, sexual dysfunction and the quality of life in depressive patients. Adverse drug reactions were a few and not serious.
Anti-Anxiety Agents ; Anxiety* ; Depression* ; Depressive Disorder, Major ; Diagnostic and Statistical Manual of Mental Disorders ; Drug-Related Side Effects and Adverse Reactions ; Dysthymic Disorder ; Humans ; Quality of Life* ; Surveys and Questionnaires