Evidence map›Paper›PMID 40790840›Full record

ArticleThoracic cancer2025

Target Localization Accuracy of Image Registrations in Cone Beam Computed Tomography-Guided Stereotactic Body Radiation Therapy for Lung Cancer.

Seong Soon Jang, Na-Young An, Hee Kyung Kim, Youngjun Yang, Gil Ja Huh, Joon Won Jeong

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Article in Thoracic cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Seong Soon JangDepartment of Radiation Oncology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-0347-911X
Na-Young AnDepartment of Radiation Oncology, Daejeon St. Mary's Hospital, Daejeon, Republic of Korea.
Hee Kyung KimDepartment of Radiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Youngjun YangDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Gil Ja HuhDepartment of Radiation Oncology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Joon Won JeongDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the target localization accuracy of image registration methods in cone beam computed tomography (CBCT)-based image guidance (IG) for lung stereotactic body radiation therapy (SBRT) and the associations with tumor characteristics such as size, mobility, and location.

methodsFour methods involving different matching axes and regions were used to register the planning CT and 3D CBCT images of 36 lung tumors treated with SBRT. The registration axes were divided into 3D translational axes and 6D axes (translational and rotational axes), and the regions were divided into wide rectangular (WR) volume-of-interest (VOI) and tumor-focused (TF) VOI, consisting of the internal target volume (ITV) plus a 1 cm margin.

resultsCompared with the WR registrations, the TF registrations yielded higher localization accuracies for all registration pairs, with differences of 6.3%-9.1% in the percentage of inclusion of the registered CBCT gross tumor volume (GTV) into the ITV and 1.3-1.8 mm in the 3D distance between the ITV and registered CBCT GTV centroids. The TF3D and TF6D registrations yielded similar accuracy metrics of 91.9% and 1.4 mm, respectively, whereas the WR6D registration exhibited improved accuracies compared with the WR3D registration. The localization accuracies with the TF registrations decreased with increasing tumor mobility index, expressed as the ITV/GTV50% ratio, with significant differences between the tumor groups at a cutoff of 1.7.

conclusionsThe localization accuracies of our image registration methods may serve as clinically useful references for selecting the most suitable registration in CBCT-based IG for lung SBRT.

Indexed as

Cone-Beam Computed TomographyLung NeoplasmsRadiosurgeryRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedAgedAged, 80 and overFemaleHumansMaleMiddle Agedimage guidanceimage registrationlung cancerstereotactic body radiation therapytarget localization

Identifiers

PMID40790840
PMCPMC12339414

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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.