Associations of health beliefs and worry with COVID-19 protective behaviors among lung cancer patients.

Although cognitions have predicted COVID-19 protective behaviors in cancer populations, theory suggests that emotions may be more predictive of these behaviors. This study examined Health Belief Model (HBM) variables as correlates of COVID-19 protective behaviors in lung cancer patients and whether worry about COVID-19 was associated with these behaviors beyond the effects of HBM variables. From 2021 to 2022, 191 patients (62.

Protocol to study neuronal membrane proteasome function in mouse peripheral sensory neurons.

Neuronal membrane proteasomes (NMPs) are expressed on a subset of somatosensory dorsal root ganglion (DRG) neurons and influence mechanical and pain sensitivity. Here, we present a protocol for studying NMP function in mouse peripheral sensory neurons. We describe steps for procuring and culturing primary DRG neurons.

Correlates of Perceived Illness Severity and Terminality in Advanced Lung and Prostate Cancer.

Context: While prognostic awareness has been commonly assessed as perceived illness terminality in patients with advanced cancer, both perceptions of illness severity and terminality may be correlated with symptom burden and quality of life.

Objectives: The present study examined physical and psychological symptoms, quality of life, and smoking status in relation to perceived illness severity and terminality in patients with advanced, inoperable lung and prostate cancer.

Methods: Patients (N=198) were recruited from hospitals in the midwestern U.

Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy.

Optical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast, and resolution. Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisition, applying additional dose, or introducing more optics. Our method (i) introduces synthetic aberrations to images acquired on the shallow side of image stacks, making them resemble those acquired deeper into the volume and (ii) trains neural networks to reverse the effect of these aberrations.

Measurement of Patients' Acceptable Symptom Levels and Priorities for Symptom Improvement in Advanced Prostate Cancer.

Purpose: Limited research has evaluated the success criteria and priorities for symptom improvement of patients with cancer to inform patient-centered care. In this study, we adapted and tested a measure of these constructs, the Patient-Centered Outcomes Questionnaire (PCOQ), for patients with advanced prostate cancer. We compared acceptable symptom severity levels following symptom treatment across 10 symptoms and identified patient subgroups based on symptom importance.