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Advances in Radiotherapy for Head and Neck Cancer
Modern Radiotherapy (RT) plays a key role in the management of Head and Neck Cancer (HNC). More precise delivery techniques, advanced image-guidance, and adaptive treatments characterize modern RT, enabling safer treatments with enhanced therapeutic window. Although patients identify the cure as their most important treatment outcome, complications related to treatment are a recognized problem as follow-up increases among those cured within this oncologic setting. This is particularly relevant for HPV-related oropharyngeal cancer (OPSCC), as these patients are younger, healthier, and more reactive to treatment. Thus, given the longer life expectancy, the jeopardizing impact of side effects on quality of life (QoL) and psychosocial functioning represent a forefront topic for HNC Researchers. De-escalation protocols have been developed recently, and, although not definitive, evidence is growing. This pertains particularly, but not exclusively, to HPV-related OPSCC.
Linking Neuroscience and Behavior in COVID-19
Linking Neuroscience and Behavior in COVID-19 examines the impact of the virus and pandemic on behavior and mental health. Chapters look at those with pre-existing conditions, including dementia and multiple sclerosis, and how the pandemic has burdened them further. There is also discussion on the mental health consequences the pandemic has had and continues to have on the broad populace, including depression and anxiety, as well as neurological effects of the virus itself. Finally, managing care and treatment of conditions - those preceding, caused by, or emerging for the first time during the pandemic are also detailed. - Discusses the impact of the COVID-19 pandemic and the virus itself o...
Case Reports in Gastrointestinal Cancers : 2022
This Research Topic aims to collect all the Case Reports submitted to the Gastrointestinal Cancers sections. All the Case Reports submitted to this collection will be personally assessed by a senior Associate Editor before the beginning of the peer-review process. Please make sure your article adheres to the following guidelines before submitting it.
Handbook of Texture Analysis
The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book: Discusses first-order, second-order statistical methods, local binary p...
Combinatorial Approaches to Enhance Anti-Tumor Immunity: Focus on Immune Checkpoint Blockade Therapy
The immune system harbors great potential for controlling and eliminating tumors. Recent developments in the field of immuno-oncology has led to unprecedented clinical benefits for a broad spectrum of solid tumors. However, immunotherapy (IT) approaches currently have several limitations including (i) low response rate; (ii) development of resistance and (iii) causing severe immune-related adverse effects (IrAEs), which underline the importance of adequate patient selection. Importantly, IT holds promising synergistic potential when combined with standard-of-care chemotherapy, radiotherapy (RT) and anti-angiogenic therapy (AAT) as part of multi-modal oncologic treatment regimes. Published da...
