Simulation-free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study.
Journal:
Journal of applied clinical medical physics
Published Date:
Jun 12, 2025
Abstract
PURPOSE: Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that allows increased total dose delivery aiming for improved treatment response without an increase in toxicities, commonly utilized for palliation of bulky tumors. The LRT treatment planning process is complex, while eligible patients often have an urgent need for expedited treatment start. In this study, we aimed to develop a simulation-free workflow for volumetric modulated arc therapy (VMAT)-based LRT planning via deep learning-predicted synthetic CT (sCT) to expedite treatment initiation.
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