%0 Journal Article
%T Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer
%A Harry Quon
%A Ilya Shpitser
%A Michael Bowers
%A Peijin Han
%A Pranav Lakshminarayanan
%A Russell H. Taylor
%A Sauleh Siddiqui
%A Wei Jiang
%A Xuan Hui
%A Zhi Cheng
%J Archive of "Advances in Radiation Oncology".
%D 2019
%R 10.1016/j.adro.2018.11.008
%X Patients with head-and-neck cancer (HNC) may experience xerostomia after radiation therapy (RT), which leads to compromised quality of life. The purpose of this study is to explore how the spatial pattern of radiation dose (radiomorphology) in the major salivary glands influences xerostomia in patients with HNC
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460328/