Globally, the incidence rate for breast cancer ranks first. Treatment for early-stage breast cancer is highly cost effective. Five-year survival rate for stage 0–2 breast cancer exceeds 90%. Screening mammography has been acknowledged as the most reliable way to diagnose breast cancer at an early stage. Taiwan government has been urging women without any symptoms, aged between 45 and 69, to have a screening mammogram bi-yearly. This brings about a large workload for radiologists. In light of this, this paper presents a deep neural network (DNN)-based model as an efficient and reliable tool to assist radiologists with mammographic interpretation. For the first time in the literature, mammograms are completely classified into BI-RADS categories 0, 1, 2, 3, 4A, 4B, 4C and 5. The proposed model was trained using block-based images segmented from a mammogram dataset of our own. A block-based image was applied to the model as an input, and a BI-RADS category was predicted as an output. At the end of this paper, the outperformance of this work is demonstrated by an overall accuracy of 94.22%, an average sensitivity of 95.31%, an average specificity of 99.15% and an area under curve (AUC) of 0.9723. When applied to breast cancer screening for Asian women who are more likely to have dense breasts, this model is expected to give a higher accuracy than others in the literature, since it was trained using mammograms taken from Taiwanese women.

The present study evaluated the association of carbon monoxide intoxication (COI) with Parkinson disease (PD).A total of 9012 adults newly diagnosed with COI were enrolled in this study as the COI cohort. The control (non-COI) cohort, comprising 36,048 participants, was matched for each COI patient according to age, sex, and the year of hospitalization. We calculated the hazard ratios (HR) and 95% confidence intervals by using a Cox proportional hazards regression model.The overall incidence of PD (per 10,000 person-year) in the COI and non-COI cohorts was 27.4 and 2.53, respectively. After adjustment for age, sex, and comorbidities, the COI patients exhibited a 9.08-fold increased risk for PD. The COI patients without comorbidity exhibited a significantly higher risk of PD (adjusted HR = 15.8) than did the COI patients without comorbidity (adjusted HR = 4.15). Patients with COI and receiving hyperbaric oxygen therapy exhibited a 14.3-fold increased risk of PD; the adjusted HR of patients who did not receive hyperbaric oxygen treatment was increased 7.97-fold.The risk of PD increased in the COI patients and the significance increased in young people. COI is a crucial factor leading to PD.

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Objective: The rate of lung cancer in female patients is increasing, with different features from male patients being displayed. Hormonal factors could play a role. The association between the development of uterine myoma (UM) and female hormones has also been reported. The relationship between female lung cancer and UM may be due to the effect of female hormones. Methods: Data from 50 711 Taiwanese women with UM were retrieved from the National Health Insurance Research Database between 2000 and 2012. They were propensity-score matched with 50 711 women without UM (control group). A multivariate Cox proportional hazard regression model was used to compare the incidence of lung cancer between groups and to determine the hazard ratio of lung cancer in the UM group. Results:The risk of lung cancer was significantly higher in women with myoma (adjusted hazard ratio: 1.62, 95% confidence ratio = 1.24-2.12). Stratified analyses demonstrated that the significantly increased risk of lung cancer was more likely to be found in certain groups, such as women who (a) are of younger age, (b) have a midlevel income, (c) have the highest urbanisation level, (d) are office workers and (e) with a longer follow-up period of myoma. Furthermore, myomectomy did not affect the risk pattern. Conclusion:The results from this nationwide population-based cohort study suggested that UM is associated with a higher risk of developing lung cancer. However, the exact underlying mechanism accounted for this remains unclear, and our findings still need to be verified by further comprehensive studies elsewhere.

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