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This study aims to investigate the association between surrounding greenness and schizophrenia incidence in Taiwan. Data of 869,484 individuals without a history of schizophrenia were included from the Longitudinal Health Insurance Database from 2000 through 2010 for analysis. The diagnoses of schizophrenia were based on ICD-9 codes. Greenness exposure was assessed using the satellite-based normalized difference vegetation index, assuming individuals lived near the hospital they most often visited for common cold during the study period. Cox proportional hazards models were applied to assess the association between greenness exposure and schizophrenia incidence after adjustments were made for the potential confounders. A total of 5,069 schizophrenia cases were newly diagnosed during the study period. A negative significant (P < 0.05) association found using 2,000-m buffer distances (distance of a moderately paced 20-min walk) in the whole Taiwan island, cities, and metropolitan areas. The results of the stratified analysis based on sex and health insurance rate suggested surrounding greenness has approximately equal effects of reducing the risk of schizophrenia, regardless of sex or financial status. In conclusion, our findings suggest that more surrounding greenness may reduce the risk of schizophrenia.
We propose a novel hybrid otitis media (OM) computer aided detection (CAD) system, designed to aid in the self-diagnosis of various forms of OM. OM is a prevalent disease in both children and adults. Our system is able to differentiate normal ear from acute otitis media (AOM), otitis media with effusion (OME) and the multi-categories of chronic otitis media including perforation, retraction, cholesteatoma, etc. We propose a modified double active contour segmentation method designed for use with otoscope images, and enabled to handle user acquired data. To describe the visual symptoms (e.g., red, bulging, effusion, perforation, retraction, etc.) of otitis media accurately, we extract color, geometric and texture features by grid color moment, Gabor filter, local binary pattern and histogram of oriented gradients. A powerful classification structure based on Adaboost is used to select the most useful features and build a strong classifier. Our system achieves classification accuracy as high as 88.06% and is suitable for real use. In addition, some interesting observations about OM otoscope images are also discussed.
Ovarian clear cell carcinoma (OCCC) is the second common histology of epithelial ovarian cancer in Taiwan. Stage IC is common, especially during minimally invasive surgery. Adjuvant chemotherapy in stage IC OCCC is unavoidable, and paclitaxel-based chemotherapy in Taiwan is self-paid. However, surgical spillage from minimally invasive surgery as a cause of unfavorable prognosis is still uncertain. The information of patients with stage IC OCCC, corresponding to a period of January 1995 to December 2016, was retrospectively collected following a chart and pathology review. Data regarding surgical methods, cytology status, regimens of adjuvant chemotherapy, survivorship, progression-free survival (PFS), and overall survival (OS) period were analyzed. In total, 88 patients were analyzed, and 64 and 24 patients were treated with paclitaxel- and nonpaclitaxel-based chemotherapy, respectively. Recurrence was identical between the two groups: PFS (47.5 ± 41.36 versus 54.0 ± 53.9 months, p = 0.157) and OS (53.5 ± 38.14 versus 79.0 ± 49.42 months, p = 0.070). Of the 88 patients, 12 had undergone laparoscopy for histological confirmation before complete open staging surgery; however, their PFS (49.5 ± 46.84 versus 49.0 ± 35.55 months, p = 0.719) and OS (56.5 ± 43.4 versus 51.0 ± 32.77 months, p = 0.600) were still comparable. Cytology results were only available for 51 patients, and positive washing cytology results seemed to worsen PFS (p = 0.026) but not OS (p = 0.446). In conclusion, adjuvant nonpaclitaxel chemotherapy and laparoscopic tumor spillage before the staging operation did not worsen the outcome in stage IC OCCC. Positive washing cytology has a negative effect on PFS but not on OS.
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