AI Article Synopsis
- Radiation therapy is essential for treating head and neck squamous cell carcinoma but can negatively impact patients' long-term health and quality of life.
- Researchers are investigating biomarkers, especially imaging biomarkers from MRI, to better predict how tumors respond to radiation therapy and to make treatments more personalized.
- The study provides a valuable dataset of diffusion-weighted imaging (DWI) collected weekly during treatment, helping to analyze changes that can correlate with treatment response and patient outcomes.
Article 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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11088675 | PMC |
| http://dx.doi.org/10.1038/s41597-024-03217-z | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!