Scientific Data (May 2024)

Dataset of weekly intra-treatment diffusion weighted imaging in head and neck cancer patients treated with MR-Linac

  • 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

DOI
https://doi.org/10.1038/s41597-024-03217-z
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

Read online

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.