Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer

Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer

Purpose: 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...

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Bibliographic Details
Main Authors: Wei Jiang, PhD, Pranav Lakshminarayanan, MS, Xuan Hui, MD, ScM, Peijin Han, MD, MHS, Zhi Cheng, MD, MPH, Michael Bowers, BS, Ilya Shpitser, PhD, Sauleh Siddiqui, PhD, Russell H. Taylor, PhD, Harry Quon, MD, MS, Todd McNutt, PhD
Format: Article
Language:English
Published: Elsevier 2019-04-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2452109418302410

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http://www.sciencedirect.com/science/article/pii/S2452109418302410

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