Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging
UQ 4D-MRI enables accurate motion assessment for liver tumors, facilitating precise ITV delineation for radiation treatment planning. Despite uncertainties from artificial intelligence-based delineation and variations in patients' respiratory patterns, UQ 4D-MRI excels at capturing tumor motion trajectories, potentially improving treatment planning accuracy and reducing margins in liver cancer radiation therapy.
Authors
- Andrew Godley (ORCID: https://orcid.org/0000-0002-8896-5231)
- Jie Deng (ORCID: https://orcid.org/0000-0003-0249-1969)
- Todd A. Aguilera (ORCID: https://orcid.org/0000-0002-3734-3758)
- Haonan Xiao (ORCID: https://orcid.org/0000-0003-2366-2325)
- Yen‐Peng Liao (ORCID: https://orcid.org/0000-0001-5721-0357)
- Jing Yan Cai (ORCID: https://orcid.org/0000-0001-6934-0108)
- J. Visak
- Tian Li
- You Zhang (ORCID: https://orcid.org/0000-0002-8033-2755)
- Peilin Wang (ORCID: https://orcid.org/0009-0006-0709-8540)
Institutions
- Hong Kong Polytechnic University (HK)
- Southwestern Medical Center (US)
- Shandong Tumor Hospital (CN)
- Shandong First Medical University (CN)
- Southwestern Medical Center (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Advances in Radiation Oncology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.adro.2025.101774
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovation and Technology Commission
- Health and Medical Research Fund