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Quantitative Imaging For Precision Medicine In Head And Neck Cancer Patients, Rachel Ger
Quantitative Imaging For Precision Medicine In Head And Neck Cancer Patients, Rachel Ger
Dissertations & Theses (Open Access)
The purpose of this work was to determine if prediction models using quantitative imaging measures in head and neck squamous cell carcinoma (HNSCC) patients could be improved when noise due to imaging was reduced. This was investigated separately for salivary gland function using dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), overall survival using computed tomography (CT)-based radiomics, and overall survival using positron emission tomography (PET)-based radiomics. From DCE-MRI, where T1-weighted images are serially acquired after injection of contrast, quantitative measures of diffusion can be obtained from the series of images. Radiomics is the study of the relationship of voxels to …