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Purpose: To investigate the performance of a machine learning-based segmentation method for treatment planning of gastric cancer.

Materials And Methods: Eighteen patients planned to be irradiated for gastric cancer were studied. The target and the surrounding organs-at-risk (OARs) were manually delineated on CT scans.

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: Psychological distress impacts 35-40% of cancer patients, significantly affecting their quality of life, treatment adherence, and relationships with healthcare professionals. Given this, there is a critical need to enhance nursing competencies to effectively monitor and address psychological distress. Previous studies have highlighted discrepancies in capabilities based on nurses' training status, emphasizing trained nurses' critical role in providing appropriate psycho-social referrals.

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Many patients with cancer approaching the end of life (EOL) continue to receive treatments that are unlikely to provide meaningful clinical benefit, potentially causing more harm than good. This is called overtreatment at the EOL. Overtreatment harms patients by causing side-effects, increasing health care costs, delaying important discussions about and preparation for EOL care, and occasionally accelerating death.

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While MRI has become the imaging modality of choice for intracranial meningiomas, no radiologic reporting guidance exists to date that relies on a systematic collection of information relevant to the core medical disciplines involved in the management of these patients. To address this issue, a nationwide expert survey was conducted in Germany. A literature-based catalog of potential reporting elements for MRI examinations of meningioma patients was developed interdisciplinarily.

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Africa is currently facing unprecedented growth in its cancer burden. Training an adequate number of skilled physicians is critical to addressing this challenge. We examine African oncology faculty's professional development (PD) activities, associated barriers, enablers, satisfaction levels, and highlight the implications for improving the quality of the oncology faculty workforce in SSA.

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