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.

Comprehensive analysis of macrophage-related genes in prostate cancer by integrated analysis of single-cell and bulk RNA sequencing.

Macrophages, as essential components of the tumor immune microenvironment (TIME), could promote growth and invasion in many cancers. However, the role of macrophages in tumor microenvironment (TME) and immunotherapy in PCa is largely unexplored at present. Here, we investigated the roles of macrophage-related genes in molecular stratification, prognosis, TME, and immunotherapeutic response in PCa.

[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.