ArticleJournal of applied clinical medical physics2025
Benchmarking MapRT and first clinical experience: A novel solution for collision-free non-coplanar treatment planning.
Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Game engine-driven high-precision collision simulation system for radiation therapy: development and clinical evaluation.Radiological physics and technology · 2026Article
- Improved synthetic CT generation using surface scan information integrated into a deformable registration algorithm for limited Field of View data.Physics and imaging in radiation oncology · 2026Article
- Clinical implementation and evaluation of a patient-specific surface-guided clearance mapping system for collision avoidance and noncoplanar beam planning.Journal of applied clinical medical physics · 2026Article
- Benchmarking MapRT and first clinical experience: A novel solution for collision-free non-coplanar treatment planning.Journal of applied clinical medical physics · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In recent years, complex re-irradiations and stereotactic treatments have triggered the use of non-coplanar treatments for better dose conformality, entailing risks of collision between the machine and the patient, couch, or immobilization device. To ensure the plans deliverability without collisions, time-consuming actions are typically performed, including dry runs, in-room couch rotations, and beam configuration tests during planning. To overcome these challenges, a new tool called MapRT (VisionRT Ltd., London, UK) was developed. MapRT predicts a clearance map based on a patients' 3D model (acquired with dedicated cameras at the CT simulation) and pre-established machine models. This work evaluates the accuracy of MapRT using a 30 × 35 × 40 cm
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