Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge.

Magnetic resonance (MR)-guided radiation therapy (RT) is enhancing head and neck cancer (HNC) treatment through superior soft tissue contrast and longitudinal imaging capabilities. However, manual tumor segmentation remains a significant challenge, spurring interest in artificial intelligence (AI)-driven automation. To accelerate innovation in this field, we present the Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024 Challenge, a satellite event of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention.

Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy.

Background: Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head and neck (HN) cancer, these images are often insufficient for discriminating target volumes and organs at risk (OARs). In this study, we investigated a deep learning (DL) approach to generate high-quality synthetic images from low-quality images.

The impact of COVID-19 on the occupational health of oncologists: a descriptive analysis of occupational safety, perceived burnout and social support among practicing oncologists in Alexandria, Egypt.

Background: Healthcare workers, including oncologists, face a higher potential risk of contracting coronavirus disease 2019 (COVID-19) while managing patients. Moreover, the uncertainty that came with COVID-19 and its associated social stigma may worsen what was already a crisis (burnout) among oncologists. Data are scarce on the impact of COVID-19 on the occupational health and safety of oncologists in low and middle-income countries.

Designing an Effective Colorectal Cancer Screening Program in Egypt: A Qualitative Study of Perceptions of Egyptian Primary Care Physicians and Specialists.

Background: In Egypt more than one-third of colorectal cancer (CRC) cases occur in individuals aged 40 years and younger, and are diagnosed at advanced stages; currently, CRC screening is not done as a routine part of preventive care. To lay the foundation for the development of a CRC multilevel screening program in Egypt, this qualitative study aimed to explore the perspectives of Egyptian physicians.

Materials And Methods: The PRECEDE-PROCEED model, which focuses on predisposing (intrapersonal), reinforcing (interpersonal), and enabling (structural) factors inherent in health behaviors, served as our theoretical framework.