Clinical value of a radiomics model based on machine learning for the prediction of prostate cancer.

Objective: Radiomics models have demonstrated good performance for the diagnosis and evaluation of prostate cancer (PCa). However, there are currently no validated imaging models that can predict PCa or clinically significant prostate cancer (csPCa). Therefore, we aimed to identify the best such models for the prediction of PCa and csPCa.

[The effect of health education on lung function and quality of life among stabilized patients with chronic pulmonary disease].

Objective: To evaluate the effect of health education on lung function and quality of life in stabilized patients with chronic pulmonary disease (COPD).

Methods: 117 stabilized COPD patients were randomly devided into 4 groups with numbers as 31,26, 20 and 40 identified as Groups 1 to 4. Patients in Group 1 did not receive health education, but Groups 2,3 and 4 received one, two, three or more times health education in file.