Background
We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Methods
Between May 2012 and February 2015, 589 thyroid nodules in 519 patients were diagnosed as benign or malignant by surgical excision. Experienced radiologists retrospectively reviewed the US of the thyroid nodules in a test set. CNNs were trained and tested using retrospective data of 439 and 150 US images, respectively. Diagnostic performances were compared between the two groups.
Results
Of the 589 thyroid nodules, 396 were malignant and 193 were benign. The area under the curve (AUC) for diagnosing thyroid malignancy was 0.805‐0.860 for radiologists. The AUCs for diagnosing thyroid malignancy for the three CNNs were 0.845, 0.835, and 0.850. There was no significant difference in AUC between radiologists and CNNs.
Conclusions
CNNs showed comparable diagnostic performance compared to experienced radiologists in differentiating thyroid malignancy on US.
Purpose: The aims of this study were to identify depression rates depending on the sex among elderly people living alone and to compare depression-related ecological system factors between two sex groups.Methods: A cross-sectional study was conducted using secondary data from the 7th Korean Longitudinal Study of Aging survey in 2018. A total of 893 elders living alone were included (152 men and 741 women). Hierarchical logistic regression was used to identify depression-related ecological system factors depending on the sex.Results: Men had significantly higher rates of depression (28.6%) than women (24.0%, p<.001). Depression-related ecological system factors in elderly women were higher educational level, poor subjective health status, impairment of instrumental activities of daily living, low satisfaction with children’s relation, financial based on children’s support, and rare meetings with close people. However, relation satisfaction with children was the only relevant depression-related ecological system factor in the men’s group.Conclusion: Our study findings show that depression-related ecological system factors vary depending on the sex of elderly people living alone. Thus, mental health professionals should provide sex-specific interventions to develop or implement depression-prevention strategies for the elderly living alone depending on the sex.
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