Dataset of Weekly Intra-Treatment Diffusion Weighted Imaging in Head and Neck Cancer Patients Treated With MR-Linac

Authors

Dina M El-Habashy
Kareem A Wahid
Renjie He
Brigid McDonald
Samuel J Mulder
Yao Ding
Travis Salzillo
Stephen Y Lai
John Christodouleas
Alex Dresner
Jihong Wang
Mohamed A Naser
Clifton D Fuller
Abdallah Sherif Radwan Mohamed
Joint Head and Neck Radiation Therapy-MRI Development Cooperative

Publication Date

5-11-2024

Journal

Scientific Data

Abstract

Radiation therapy (RT) is a crucial treatment for head and neck squamous cell carcinoma (HNSCC); however, it can have adverse effects on patients' long-term function and quality of life. Biomarkers that can predict tumor response to RT are being explored to personalize treatment and improve outcomes. While tissue and blood biomarkers have limitations, imaging biomarkers derived from magnetic resonance imaging (MRI) offer detailed information. The integration of MRI and a linear accelerator in the MR-Linac system allows for MR-guided radiation therapy (MRgRT), offering precise visualization and treatment delivery. This data descriptor offers a valuable repository for weekly intra-treatment diffusion-weighted imaging (DWI) data obtained from head and neck cancer patients. By analyzing the sequential DWI changes and their correlation with treatment response, as well as oncological and survival outcomes, the study provides valuable insights into the clinical implications of DWI in HNSCC.

Keywords

Humans, Head and Neck Neoplasms, Diffusion Magnetic Resonance Imaging, Radiotherapy, Image-Guided, Squamous Cell Carcinoma of Head and Neck, Particle Accelerators, Predictive markers, Prognostic markers

Comments

Data Citations

Data Availability Statement

PMID: 38734679