ArticleQuantitative imaging in medicine and surgery2025
Evaluation of a fast-volumetric four-dimensional magnetic resonance imaging technique for abdominal radiotherapy tumor motion management.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Motion management plays an important role in abdominal cancer radiotherapy. In this study, we investigated the motion measurement accuracy and tumor contrast in liver tumor using a fast volumetric four-dimensional magnetic resonance imaging (4D-MRI) technique using commercial sequence. Methods: Four volunteers and 34 patients with liver tumors were included in this study with institutional review board (IRB) approval, and all patients underwent routine MRI scans with additional 4D-MRI scan on a 3.0 Tesla MRI scanner. A fast-volumetric sequence [time-resolved imaging with stochastic trajectories-volumetric interpolated breath-hold examination (TWIST-VIBE)] was used to acquire 4D-MRI images. The temporal resolution of 4D-MRI was ~0.69 s per measurement. The 4D-MRI sequence was performed before and immediately after the injection of gadolinium contrast agent, termed as non-contrast 4D-MRI (in patient study) and contrast-enhanced 4D-MRI (4D-MRI Results: High temporal resolution (~0.69 s per measurement) and isotropic spatial resolution (~2.7 mm Conclusions: Our preliminary results demonstrated that the commercially available TWIST-VIBE 4D-MRI sequence provides precise volumetric tumor motion tracking suitable for clinical abdominal radiotherapy. Its rapid acquisition and reliable image quality facilitate seamless workflow integration, potentially enhancing treatment precision and improving patient outcomes. The technique offers a practical alternative to existing imaging modalities by combining speed, spatial coverage, and soft tissue contrast without additional hardware requirements. Further efforts will target artifact minimization, optimization of spatial and temporal resolutions, improved clinical decision-making impact, and broader multi-center validation to ensure robust clinical implementation and generalizability across diverse patient populations.
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