Focused ultrasound therapy as a strategy for improving glioma treatment.

The infiltrative and diffuse nature of gliomas makes complete resection unfeasible. Unfortunately, regions of brain parenchyma with residual, infiltrative tumor are protected by the blood-brain barrier (BBB), making systemic chemotherapies, small-molecule inhibitors, and immunotherapies of limited efficacy. Low-frequency focused ultrasound (FUS) in combination with intravascular microbubbles can be used to disrupt the BBB transiently and selectively within the tumor and peritumoral region.

Exploring Patient-Related Contextual Factors and Personal Reflections About the Managing Cancer and Living Meaningfully (CALM) Intervention for Adults With Advanced Cancer in Metropolitan and Non-Metropolitan Southern Alberta: A Mixed Methods Study.

Background: The evidence-based Managing Cancer and Living Meaningfully (CALM) psychotherapeutic intervention was designed to address the complex needs of those with advanced cancer. Ample evidence supports the efficacy of CALM therapy; less is known about the patient-specific factors that influence initiation and continuation of CALM sessions.

Aims: To gain understanding of patient-specific factors and referral routes that influence initiation and continuation of CALM.

Psychosocial Correlates of Death Anxiety in Advanced Cancer: A Scoping Review.

Objectives: Individuals living with advanced cancer commonly experience death anxiety, which refers to the distressing thoughts or feelings associated with awareness of one's mortality. Deriving an overview of existing literature on the psychological and social factors linked to death anxiety may inform conceptual models, clinical screening, and intervention strategies in oncology and palliative care. Therefore, the present scoping review was conducted to summarize the current literature on the psychosocial correlates of death anxiety among individuals with advanced cancer.

Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.