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Synthetic computed tomography techniques for adaptive proton therapy in head and neck cancers
Stockholm University, Faculty of Science, Department of Physics. RaySearch Laboratories AB (Publ), Sweden; Karolinska Institutet, Sweden.ORCID iD: 0000-0002-8441-3595
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2025 (English)In: Physics and Imaging in Radiation Oncology, E-ISSN 2405-6316, Vol. 36, article id 100847Article in journal (Refereed) Published
Abstract [en]

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% (2%, 2 mm).

Place, publisher, year, edition, pages
2025. Vol. 36, article id 100847
Keywords [en]
Synthetic CT, CBCT image correction, Adaptive proton therapy, Head and neck cancer
National Category
Cancer and Oncology Other Physics Topics
Identifiers
URN: urn:nbn:se:su:diva-248211DOI: 10.1016/j.phro.2025.100847ISI: 001599165100001Scopus ID: 2-s2.0-105018645826OAI: oai:DiVA.org:su-248211DiVA, id: diva2:2007327
Available from: 2025-10-17 Created: 2025-10-17 Last updated: 2026-05-05Bibliographically approved

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Kaushik, SuryakantToma-Daşu, Iuliana

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