ArticlePhysics and imaging in radiation oncology2021
Experimental evaluation of four-dimensional Magnetic Resonance Imaging for radiotherapy planning of lung cancer.
Article in Physics and imaging in radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Phantom-based assessment of a modified 4D-MRI protocol for abdominal tumor motion tracking: Effects of sequence parameters and modality comparison.Journal of applied clinical medical physics · 2026Article
- A self-gated 4D-MRI sequence for internal target volume delineation in liver: Phantom and pre-clinical validation.Journal of applied clinical medical physics · 2025Article
- Accelerating 4D image reconstruction for magnetic resonance-guided radiotherapy.Physics and imaging in radiation oncology · 2023Article
- Statistical evaluation of the effectiveness of dual amplitude-gated stereotactic body radiotherapy using fiducial markers and lung volume.Physics and imaging in radiation oncology · 2022Article
- Optimization of a protocol for contrast-enhanced four-dimensional computed tomography imaging of thoracic tumors using minimal contrast agent.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021Article
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Authors and funding
5 authors.
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Abstract
Radiotherapy planning for lung cancer typically requires both 3D and 4D Computed Tomography (CT) to account for respiratory related movement. 4D Magnetic Resonance Imaging (MRI) with self-navigation offers a potential alternative with greater reliability in patients with irregular breathing patterns and improved soft tissue contrast. In this study 4D-CT and a 4D-MRI Radial Volumetric Interpolated Breath-hold Examination (VIBE) sequence was evaluated with a 4D phantom and 13 patient respiratory patterns, simulating tumour motion. Quantification of motion related tumour displacement in 4D-MRI and 4D-CT found no statistically significant difference in mean motion range. The results demonstrated the potential viability of 4D-MRI for lung cancer treatment planning.
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