Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging.
Authors
Affiliations (3)
Affiliations (3)
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas.
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
- Department of Radiation Physics, Shandong Cancer Hospital, Shandong, China.
Abstract
Accurate internal target volume (ITV) estimation is essential for effective and safe radiation therapy in liver cancer. This study evaluates the clinical value of an ultraquality 4-dimensional magnetic resonance imaging (UQ 4D-MRI) technique for ITV estimation. The UQ 4D-MRI technique maps motion information from a low spatial resolution dynamic volumetric MRI onto a high-resolution 3-dimensional MRI used for radiation treatment planning. It was validated using a motion phantom and data from 13 patients with liver cancer. ITV generated from UQ 4D-MRI (ITV<sub>4D</sub>) was compared with those obtained through isotropic expansions (ITV<sub>2 mm</sub> and ITV<sub>5 mm</sub>) and those measured using conventional 4D-computed tomography (computed tomography-based ITV, ITV<sub>CT</sub>) for each patient. Phantom studies showed a displacement measurement difference of <5% between UQ 4D-MRI and single-slice 2-dimensional cine MRI. In patient studies, the maximum superior-inferior displacements of the tumor on UQ 4D-MRI showed no significant difference compared with single-slice 2-dimensional cine imaging (<i>P</i> = .985). Computed tomography-based ITV showed no significant difference (<i>P</i> = .72) with ITV<sub>4D</sub>, whereas ITV<sub>2 mm</sub> and ITV<sub>5 mm</sub> significantly overestimated the volume by 29.0% (<i>P</i> = .002) and 120.7% (<i>P</i> < .001) compared with ITV<sub>4D</sub>, respectively. 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.