Cancers, Volume 16, Issue 19
2024 October-1 - 189 articles
Cover Story: Cancer-associated cachexia is a serious complication that can arise in patients with head and neck cancer due to both the disease and its treatments. It causes severe weight loss, muscle and fat depletion, and systemic inflammation, which significantly diminish patients’ quality of life and survival. This study uses advanced machine learning techniques utilizing whole-body [18F]FDG-PET/CT imaging data as well as clinical parameters to improve the prediction and understanding of cachexia. Our findings suggest that specific imaging biomarkers, particularly pancreatic volume, could play a crucial role in predicting cachexia, potentially leading to improved future management strategies for head and neck cancer patients. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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