scholarly journals Recent Developments in Chemotherapy for the Treatment of Head and Neck Cancer.

1997 ◽  
Vol 90 (3) ◽  
pp. 255-267
Author(s):  
Mamoru TSUKUDA
PLoS ONE ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. e0229266 ◽  
Author(s):  
Christoph Evers ◽  
Christian Ostheimer ◽  
Frank Sieker ◽  
Dirk Vordermark ◽  
Daniel Medenwald

2020 ◽  
pp. 084653712094213
Author(s):  
Tricia Chinnery ◽  
Andrew Arifin ◽  
Keng Yeow Tay ◽  
Andrew Leung ◽  
Anthony C. Nichols ◽  
...  

Artificial intelligence (AI)-based models have become a growing area of interest in predictive medicine and have the potential to aid physician decision-making to improve patient outcomes. Imaging and radiomics play an increasingly important role in these models. This review summarizes recent developments in the field of radiomics for AI in head and neck cancer. Prediction models for oncologic outcomes, treatment toxicity, and pathological findings have all been created. Exploratory studies are promising; however, validation studies that demonstrate consistency, reproducibility, and prognostic impact remain uncommon. Prospective clinical trials with standardized procedures are required for clinical translation.


2018 ◽  
Vol 11 (6) ◽  
pp. 342-346 ◽  
Author(s):  
Tobias Moorhouse ◽  
Daniel Edwards

Head and neck cancer is a rare, but significantly life-changing diagnosis. Mortality is still high in advanced disease and treatment carries significant morbidity (both physical and psychological). Patients who suffer with the disease have often experienced diagnostic delay and uncertainty with harmful physical and psychological consequences. This experience can be frustrating for patients and with delay they may feel that their needs are not being met, and that they are not being taken seriously. This article aims to detail appropriate referral of patients and recent developments in the treatment and management of head and neck cancer.


2021 ◽  
Vol 11 ◽  
Author(s):  
Simon Boeke ◽  
David Mönnich ◽  
Janita E. van Timmeren ◽  
Panagiotis Balermpas

Based on the development of new hybrid machines consisting of an MRI and a linear accelerator, magnetic resonance image guided radiotherapy (MRgRT) has revolutionized the field of adaptive treatment in recent years. Although an increasing number of studies have been published, investigating technical and clinical aspects of this technique for various indications, utilizations of MRgRT for adaptive treatment of head and neck cancer (HNC) remains in its infancy. Yet, the possible benefits of this novel technology for HNC patients, allowing for better soft-tissue delineation, intra- and interfractional treatment monitoring and more frequent plan adaptations appear more than obvious. At the same time, new technical, clinical, and logistic challenges emerge. The purpose of this article is to summarize and discuss the rationale, recent developments, and future perspectives of this promising radiotherapy modality for treating HNC.


Biomolecules ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 914
Author(s):  
Yin-Qiao Liu ◽  
Hai-Ying Zou ◽  
Jian-Jun Xie ◽  
Wang-Kai Fang

Desmosomes are intercellular adhesion complexes involved in various aspects of epithelial pathophysiology, including tissue homeostasis, morphogenesis, and disease development. Recent studies have reported that the abnormal expression of various desmosomal components correlates with tumor progression and poor survival. In addition, desmosomes have been shown to act as a signaling platform to regulate the proliferation, invasion, migration, morphogenesis, and apoptosis of cancer cells. The occurrence and progression of head and neck cancer (HNC) is accompanied by abnormal expression of desmosomal components and loss of desmosome structure. However, the role of desmosomal components in the progression of HNC remains controversial. This review aims to provide an overview of recent developments showing the paradoxical roles of desmosomal components in tumor suppression and promotion. It offers valuable insights for HNC diagnosis and therapeutics development.


1998 ◽  
Vol 23 (4) ◽  
pp. 376-376
Author(s):  
Quak ◽  
Van Bokhorst ◽  
Klop ◽  
Van Leeuwen ◽  
Snow

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