ArticlePhysics and imaging in radiation oncology2025
Synthetic computed tomography techniques for adaptive proton therapy in head and neck cancers.
Article in Physics and imaging in radiation oncology, 2025. 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.
- Improvement of Soft Tissue Contrast and CT Number Accuracy in Proton Therapy CBCT With Hardware-based Scatter Suppression: Results From a Prospective Trial.International journal of radiation oncology, biology, physics · 2026Article
- Beyond Couch Correction in Head and Neck Radiotherapy: A Narrative Review of Action-Oriented Positioning Management.Cancers · 2026Review
- 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
- Commissioning and clinical implementation of Monaco treatment planning system on a compact pencil beam scanning proton therapy system.Journal of applied clinical medical physics · 2026Article
- Imaging, automation and workflow challenges for online adaptive proton therapy.Physics and imaging in radiation oncology · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck (HN) radiotherapy often requires corrective interventions. This study evaluated three methods for synthetic computed tomography (CT) generation for adaptive HN planning using cone-beam CT (CBCT) images. CBCT images for 15 patients were paired with same-day repeat CT scans and robustly optimized proton plans were recalculated. The anatomy-preserving virtual CT (APvCT) method utilized organs-at-risk as deformation controlling structures. APvCT and conventional virtual CT methods showed lower mean absolute errors in CT number values compared to corrected CBCT; however, all synthetic CT methods were found suitable for proton dose recalculation with gamma passing rates greater than 96.7% (
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