Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy
نویسندگان
چکیده
منابع مشابه
Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy
Severe acute dysphagia commonly results from head and neck radiotherapy (RT). A model enabling prediction of severity of acute dysphagia for individual patients could guide clinical decision-making. Statistical associations between RT dose distributions and dysphagia could inform RT planning protocols aiming to reduce the incidence of severe dysphagia. We aimed to establish such a model and ass...
متن کاملNormal Tissue Complication Probability (NTCP) modeling and validation of quantitative analysis of normal tissue effects in the clinic (QUANTEC) guideline using quality of life questionnaire for parotid gland during head and neck radiotherapy
Introduction: Radiation therapy is the main treatment method for head and neck cancers, which comprise 3–5% of all cancers. A major side effect of this treatment is complication of the parotid glands, i.e. xerostomia, which occurs at relatively low doses. This complication leads to mouth dryness which is the most common problem for head and neck cancer survivors. There are dif...
متن کاملEffect of cryotherapy on oral mucositis in patients with head and neck cancers receiving radiotherapy
Background: Mucositis is an important adverse effect of cancer treatment. The aim of this study was to investigate the effect of ice cubes on oral mucositis following head and neck radiotherapy. Materials and Methods: A randomized controlled trial was conducted on 40 head and neck cancer patients who underwent radiotherapy. The patients were randomly divided into two experimental and control gr...
متن کاملDesign and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia
Purpose The purpose of this study is to investigate whether machine learning with dosiomic, radiomic, and demographic features allows for xerostomia risk assessment more precise than normal tissue complication probability (NTCP) models based on the mean radiation dose to parotid glands. Material and methods A cohort of 153 head-and-neck cancer patients was used to model xerostomia at 0-6 mont...
متن کاملEvaluation of Tumor Control and Normal Tissue Complication Probability in Head and Neck Cancers with Different Sources of Radiation: A Comparative Study
Introduction: The ultimate goal of radiation treatment planning is to yield a high tumor control probability (TCP) with a low normal tissue complication probability (NTCP). Historically dose volume histogram (DVH) with only volumetric dose distribution was utilized as a popular tool for plan evaluation hence present study aimed to compare the radiobiological effectiveness of the cobalt-60 (Co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Radiotherapy and Oncology
سال: 2016
ISSN: 0167-8140
DOI: 10.1016/j.radonc.2016.05.015