Analysis of Duloxetine-Related Adverse Events Using the Food and Drug Administration Adverse Event Reporting System: Implications for Monitoring and Management.

Background: The objective of this study was to examine the characteristics of adverse drug reactions of duloxetine and investigate the potential precautions that may exist beyond the drug label.

Methods: This study used data from the Food and Drug Administration Adverse Event Reporting System database 2004-2023 and the linked information of duloxetine. Four algorithms used to evaluate the correlation between duloxetine and adverse events include reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker.

Texture Analysis of Computed Tomography Images in the Lung of Patients With Breast Cancer.

Objective: The aim of this study was to investigate whether the texture features of lung computed tomography images were altered by primary breast cancer without pulmonary metastasis.

Methods: Texture analysis was performed on the regions of interest of lung computed tomography images from 36 patients with breast cancer and 36 healthy controls. Texture parameters between subjects with different clinical stages and hormone receptor (HR) statuses in patients with breast cancer were analyzed.