Work

Adaptive Radiation Therapy for Head and Neck Cancer.

Year: 2025

Type: preprint

Source: PubMed

Authors: Lucas McCullum, Sonali J Joshi, Brandon M Godinich, Parshawn Gerafian, Rishabh Gaur, Qusai Alakayleh, Ergys Subashi, Renjie He, Samuel L Mulder, Zaphanlene Kaffey, Grace Murley, Natalie A West, Saleh Ramezani, Cem Dede, Laia Humbert-Vidan, Clifton D Fuller

Institutions: The University of Texas MD Anderson Cancer Center, The University of Texas Health Science Center at Houston, California University of Science and Medicine, Texas Tech University Health Sciences Center, University of California, Berkeley, University of Missouri–Kansas City, Lamar University

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research Careers (FRONTI2ER), Radiation-specific Automated Dental Dose Distributions via Machine-learning based Mapping for Accurate Predictions of (Peri)odontal Problems (RADMAP), Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis, NRSA Training Core, Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac device, SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck Cancer, Cancer Center Support Grant, NLM Research Training Program in Biomedical Informatics and Data Science for Predoctoral and Postdoctoral Fellows, CTSA Predoctoral T32 at the University of Texas Health Science Center at Houston

OpenAlex ID: W4413039585

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