METHODS: Positron emission tomography (PET) and computed tomography (CT) image data from 97 patients with LC and 77 patients with TB nodules were collected. One hundred radiomic features were extracted from both PET and CT imaging using the pyradiomics platform, and 2048 deep learning features were obtained through a residual neural network approach. Four models included traditional machine learning model with radiomic features as input (traditional radiomics), a deep learning model with separate input of image features (deep convolutional neural networks [DCNN]), a deep learning model with two inputs of radiomic features and deep learning features (radiomics-DCNN) and a deep learning model with inputs of radiomic features and deep learning features and clinical information (integrated model). The models were evaluated using area under the curve (AUC), sensitivity, accuracy, specificity, and F1-score metrics.
RESULTS: The results of the classification of TB nodules and LC showed that the integrated model achieved an AUC of 0.84 (0.82-0.88), sensitivity of 0.85 (0.80-0.88), and specificity of 0.84 (0.83-0.87), performing better than the other models.
CONCLUSION: The integrated model was found to be the best classification model in the diagnosis of TB nodules and solid LC.
OBJECTIVE: This study aimed to explore the relationship between job stress, psychological capital, and professional identity through a mediation analysis of Chinese medical interns.
METHODS: A descriptive cross-sectional study was conducted in 30 hospitals and clinics in China from June 2021 to March 2022. A total of 665 medical interns filled out questionnaires related to demographic questions, psychological capital, job stress, and professional identity. Data analysis was executed using the IBM SPSS version 22.0 software and its add-in PROCESS Windows version 4.0.
RESULTS: The findings indicated a statistically significant mediating effect of psychological capital between job stress and professional identity. Job stress and job stress combined with psychological capital accounted for 5.3% and 37.9%, respectively, of the variance in professional identity. The bootstrapping method corroborated the significance of the indirect effect of job stress through psychological capital (95% bootstrap CI = -4.7921, -2.4345).
CONCLUSION: The current findings underscore the need for increased attention on improving the psychological capital of medical interns.