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Using the national health insurance research database of Taiwan, this study sought to investigate the implications of androgen deprivation therapy for the development of dry eye disease in patients with prostate cancer. Each participant in the study was initially matched to one patient with prostate cancer but not without ADT and two others without prostate cancer and ADT. To determine the adjusted hazard ratio and 95% confidence interval of ADT and other measures for DED construction, Cox proportional hazard regression was used. Thousands of new DED events were recorded in the control group, prostate cancer without ADT group, and prostate cancer with ADT firm prostate cancer. In comparison to the control group, the incidence of DED in prostate cancer with ADT group and Prostate cancer without ADT group was not significantly different than that in the control group.
Source link: https://europepmc.org/article/MED/35919811
Introduction: Multiparametric magnetic resonance imaging is the most commonly used diagnostic method used to identify patients suspected of harboring prostate cancer, triggering the need for targeted prostate biopsy. However, both mpMRI and targeted prostate biopsy are operator-dependent. Aim: To demonstrate the current state of the art in decision support services based on texture analysis and AI for the prediction of aggression and biopsy assistance. Methods and Methods: We performed literature analysis using PubMed MeSH, Scopus, and WoS databases, and screened the retrieved papers using PRISMA techniques. 24 articles were published presenting PCa diagnosis and prediction of aggression, seven of whom were focused on extracapsular extension research, and four of them dealt with computer-assisted targeted prostate biopsies. Conclusions: Radiomics and AI have the ability to become an everyday tool in the process of diagnosis and staging of prostate malignancies.
Source link: https://europepmc.org/article/MED/35743766
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