Evidence map›Paper›PMID 42252528›Full record

ArticleJournal of applied clinical medical physics2026

Quantitative assessment of CBCT image quality metrics and their translation to clinical Art workflow performance in breast cancer patients.

Sunhwa Kim, Young Kyu Lee, Wonjoong Cheon, Yunji Seol, Byung-Ock Choi, Young Nam Kang

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Article in Journal of applied clinical medical physics, 2026. 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

6 authors.

Sunhwa KimDepartment of Medical Sciences, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Young Kyu LeeDepartment of Radiation Oncology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Wonjoong CheonDepartment of Radiation Oncology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Yunji SeolDepartment of Proton Center, National Cancer Center of Korea, Goyang-si, Gyeonggi-do, Republic of Korea.
Byung-Ock ChoiDepartment of Radiation Oncology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Young Nam KangDepartment of Radiation Oncology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

Ministry of Trade Industry & EnergyTechnology Innovation Program RS-2025-02221011
6 · The paper itself

Abstract

backgroundOnline adaptive radiotherapy (ART) relies on cone-beam computed tomography (CBCT) imaging for daily treatment adaptation, but CBCT's physical limitations can compromise contour delineation and dose calculation accuracy. The relationship between image quality metrics and clinical ART workflow accuracy remains unclear. PURPOSE: To investigate the clinical impact of CBCT image quality on ART workflow accuracy in breast cancer patients by comparing contour agreement and dose calculation accuracy between Halcyon and TrueBeam systems, establishing how quantitative image quality metrics affect contour agreement and dose calculation accuracy within the ART workflow.

methodsForty breast cancer patients treated with VMAT were equally divided between Halcyon (n = 20) and TrueBeam (n = 20). Phantom-based image quality assessment evaluated HU uniformity, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and modulation transfer function (MTF) using Catphan 504. Planning CT and first-day CBCT images were aligned using deformable registration. AI auto-segmentation generated contours for six structures, evaluated using Dice Similarity Coefficient (DSC) and other geometric metrics. VMAT plans were recalculated on CBCT images using system-specific HU-to-electron density calibration curves for dose-volume histogram, 3D gamma analysis, and dose difference analysis.

resultsHalcyon demonstrated 1.65-fold higher CNR (22.21 vs. 13.42) and 1.78-fold better HU uniformity (9 vs. 16 HU) compared to TrueBeam, despite comparable spatial resolution (MTF50: 0.36 lp/mm). Contour agreement analysis showed Halcyon achieved higher accuracy (treated breast DSC: 0.92 ± 0.06 vs. 0.87 ± 0.21, p < 0.001) with 3.5-fold lower inter-patient variability. Dosimetric analysis revealed paradoxical patterns: TrueBeam maintained better PTV coverage (D

conclusionQuantitative CBCT image quality metrics, particularly CNR and HU uniformity, directly affect both contour agreement and dosimetric concordance in breast ART workflows. These findings provide quantitative evidence linking CBCT image quality metrics to both contour agreement and dose calculation accuracy within the ART workflow.

Indexed as

Breast NeoplasmsCone-Beam Computed TomographyImage Processing, Computer-AssistedPhantoms, ImagingQuality Assurance, Health CareRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedWorkflowAlgorithmsFemaleHumansOrgans at RiskPrognosisRadiotherapy DosageSignal-To-Noise Ratioadaptive radiotherapybreast cancerCBCT image qualitycontour agreementdosimetric accuracy

Identifiers

PMID42252528
PMCPMC13243185

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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.