Evidence map›Paper›PMID 41445771›Full record

ArticlePhysics and imaging in radiation oncology2025

Automated target misalignment correction for cone beam computed tomography-based online adaptive radiotherapy of locally advanced lung cancer patients.

Carmen Seller-Oria, Suzanne van Beek, Suzan Gerrets, Sanne van Weerdenburg, Paula Bos, Simon van Kranen, Marloes Frantzen-Steneker, Zeno Gouw, Jan-Jakob Sonke, Peter Remeijer

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Carmen Seller-OriaDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Suzanne van BeekDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Suzan GerretsDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Sanne van WeerdenburgDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Paula BosDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Simon van KranenDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Marloes Frantzen-StenekerDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Zeno GouwDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Jan-Jakob SonkeDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Peter RemeijerDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Locally advanced lung cancer patients are commonly treated with daily cone beam CT (CBCT) guided radiotherapy using one treatment isocenter. Due to differential motion between primary tumor (GTV Material and methods: We developed in-house an application that produced a synthetic CT (sCT) and delineations to correct for residual target misalignments. A deformation vector field (DVF) was created by using conventional CBCT-to-CT rigid target registrations. The DVF was applied to the planning CT (pCT) and delineations to generate a sCT where GTV Results: Median vector lengths were 5.1 mm relative to pCTs, and 0.7 mm relative to sCTs, demonstrating the ability of the proposed tool to correct residual misalignments. Median HU errors across all scans were within 1 HU, and the median GTV Conclusions: A correction method for residual target misalignments in locally advanced lung cancer patients was proposed. It automatically produces sCTs and delineations, enabling OART implementation without the need for manual delineation corrections, and with potentially smaller treatment margins.

Indexed as

Cone beam CTInter-fractional motionLocally advanced lung cancerOnline adaptive radiotherapySynthetic CT generationTreatment margin reduction

Identifiers

PMID41445771
PMCPMC12723372

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.