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  • David posted an update 7 months, 1 week ago

    This report is to describe a rare case of parotid metastasis from renal cell carcinoma (RCC) in a50- year- old male presenting with unilateral facial symptoms. Following investigations, the patient was diagnosed to have metastatic renal cell carcinoma. Nesuparib purchase He was planned for radio-chemotherapy, and got deceased 1 year afterward.Background Lung CT scan has a pivotal role in diagnosis and monitoring of COVID-19 patients, and with growing number of affected individuals, the need for artificial intelligence (AI)-based systems for interpretation of CT images is emerging. In current investigation we introduce a new deep learning-based automatic segmentation model for localization of COVID-19 pulmonary lesions. Methods A total of 2469 CT scan slices, containing 1402 manually segmented abnormal and 1067 normal slices form 55 COVID-19 patients and 41 healthy individuals, were used to train a deep convolutional neural network (CNN) model based on Detectron2, an open-source modular object detection library. A dataset, including 1224 CT slices of 18 COVID-19 patients and 9 healthy individuals, was used to test the model. Results The accuracy, sensitivity, and specificity of the trained model in marking a single image slice with COVID-19 lesion were 0.954, 0.928, and 0.961, respectively. Considering a threshold of 0.4% for percentage of lung involvement, the model was capable of diagnosing the patients with COVID-19 pneumonia, with a sensitivity of 0.982% and a specificity of 88.5%. Furthermore, the mean Intersection over Union (IoU) index for the test dataset was 0.865. Conclusion The deep learning-based automatic segmentation method provides an acceptable accuracy in delineation and localization of COVID-19 lesions, assisting the clinicians and researchers for quantification of abnormal findings in chest CT scans. Moreover, instance segmentation is capable of monitoring longitudinal changes of the lesions, which could be beneficial to patients’ follow-up.Background Drop foot syndrome is a disorder characterized by foot slapping after the initial contact and foot-dragging during the swing phase. Passive and hybrid passive ankle foot orthoses (AFOs) are often prescribed in these patients; however, the effects of these AFO designs on kinematic parameters during gait are unclear. The aim of this study was to compare the effect of innovative designed storing-restoring hybrid passive AFOs versus posterior leaf spring AFO on ankle joint kinematics in drop foot patients. Methods The present study was a case series where a single case and 3 cases with drop foot syndrome were recruited. This study was designed in 2 phases the baseline phase with their PLS AFOs and an intervention phase in which innovative designed AFO were assessed. Each phase included 5 measurement sessions which were performed in 5 consecutive weeks. The celeration line method was used to detect the significant differences between the phases. Results The results of this study showed a significant increase in the kinematic angles parameters at the initial contact, the loading response, the mid stance, terminal stance, pre swing, initial swing, mid swing, and terminal swing with the innovative designed AFO than with PLS AFO (p less then 0.05). Conclusion The results of the present study suggested that use of the innovative designed AFO may have a positive effect on ankle joint kinematics parameters in people with drop foot.Background Physical inactivity (PA) is one of the leading modifiable risk factors for noncommunicable diseases (NCDs) worldwide. This study aimed to determine PA levels and related sociodemographic factors as risk factors for NCDs among Iranian adults. Methods In this cross sectional study, data were collected from the sixth nationwide STEPS survey in 31 provinces of Iran. A total of 6100 individuals aged 18-64 years were selected by a multistage cluster sampling method, and their PA levels were assessed using the Global Physical Activity Questionnaire (GPAQ). Data were analyzed using descriptive methods and analytical tests, including chi-square, ANOVA, and independent t tests in SPSS version 21 software. Results The prevalence of vigorous, moderate, and low levels of PA was 36.3% (95%CI35.1-37.5), 29.2% (95%CI28-30.3), and 34.5% (95%CI33.3-35.7) in participants, respectively. The mean ± SD of total MET-min/week was 1842.3±2619.3. Total mean ± SD duration of PA was 98.2 ± 115 min/week (125.8±142.6 and 77.2±84.5 min/week in men and women, respectively). Transport-related PA and severe PA at work had large and small contributions to overall PA, respectively. Urbanization, sex, age, family size, and occupation status were identified as factors associated with PA levels (p less then 0.001). Conclusion This study revealed a significant prevalence of low PA among the target population and some sociodemographic characteristics identified as factors associated with PA. Identification of these factors can develop more effective interventions to promote PA.Background The world is facing a pandemic of COVID-19, a respiratory disease caused by a novel coronavirus which is now called SARS-CoV-2. Current treatment recommendations for the infection are mainly repurposed drugs based on experience with other clinically similar conditions and are not backed by direct evidence. Chloroquine (CQ) and its derivative Hydroxychloroquine (HCQ) are among the candidates. We aimed to synthesize current evidence systematically for in vitro, animal, and human studies on the efficacy and safety of chloroquine in patients with COVID-19. Methods The Cochrane Library, Google Scholar, PubMed (via Medline), Embase, Scopus, and Web of Science, MedRxiv, clinical trial registries including clinicaltrials.gov, ChiCTR (Chinese Clinical Trial Registry), IRCT (Iranian Registry of Clinical Trials), and the EU Clinical Trials Register. We used the Cochrane tool for risk of bias assessment in randomized studies, the ROBINS tool for non-randomized studies, and the GRADE methodology to summarize th inconsistent findings which fail to show significant efficacy for HCQ. Safety data is also limited but the drug may increase adverse outcomes. Routine use of the drug is not recommended based on limited efficacy and concerns about the drug safety especially in high-risk populations.

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