Liao YP, Xiao H, Wang P, Li T, Aguilera TA, Visak JD, Godley AR, Zhang Y, Cai J, Deng J. Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging.
Adv Radiat Oncol 2025;
10:101774. [PMID:
40386564 PMCID:
PMC12083997 DOI:
10.1016/j.adro.2025.101774]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2025] [Accepted: 03/21/2025] [Indexed: 05/20/2025] Open
Abstract
Purpose
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.
Methods and Materials
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 (ITV4D) was compared with those obtained through isotropic expansions (ITV2 mm and ITV5 mm) and those measured using conventional 4D-computed tomography (computed tomography-based ITV, ITVCT) for each patient.
Results
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 (P = .985). Computed tomography-based ITV showed no significant difference (P = .72) with ITV4D, whereas ITV2 mm and ITV5 mm significantly overestimated the volume by 29.0% (P = .002) and 120.7% (P < .001) compared with ITV4D, respectively.
Conclusions
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.
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