Evidence map›Paper›PMID 41699857›Full record

ArticleJournal of applied clinical medical physics2026

Multi-institutional validation of hypersight CBCT-based dose calculation on O-ring linacs.

Chih-Yuan Lin, Yi-Ling Chen, Chia-Chi Chang, Yin-Hsun Hu, Chia-Peng Pan, Fang-Hui Liu, Hsiang-Ping Chao, Yang-Wei Hsieh, Yu-Wei Lin, Chi-Yuan Yeh and 2 more

Abstract readMulticenter StudyValidation Study
In one paragraph

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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Chih-Yuan LinVarian Medical Systems, A Siemens Healthineers Company, Taipei, Taiwan.
Yi-Ling ChenVarian Medical Systems, A Siemens Healthineers Company, Taipei, Taiwan.
Chia-Chi ChangVarian Medical Systems, A Siemens Healthineers Company, Taipei, Taiwan.
Yin-Hsun HuVarian Medical Systems, A Siemens Healthineers Company, Taipei, Taiwan.
Chia-Peng PanDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Fang-Hui LiuDepartment of Radiation Oncology, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.
Hsiang-Ping ChaoDepartment of Radiation Oncolongy, Kaohsiung Show Chwan Memorial Hospital, Kaohsiung, Taiwan.
Yang-Wei HsiehDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.ORCID https://orcid.org/0000-0002-1374-0775
Yu-Wei LinDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.ORCID https://orcid.org/0000-0002-1768-8994
Chi-Yuan YehDepartment of Radiation Oncology, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan.ORCID https://orcid.org/0000-0003-1518-7384
Tzu-Yuan ChaoDepartment of Radiation Oncolongy, Kaohsiung Show Chwan Memorial Hospital, Kaohsiung, Taiwan.
Shih-Ming HsuDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional cone-beam computed tomography (CBCT) systems are limited by suboptimal image quality, inaccurate Hounsfield unit (HU) calibration, and reduced reliability for dose calculation. HyperSight CBCT on the Halcyon platform offers improved HU accuracy, expanded field-of-view (FOV), and enhanced image quality. PURPOSE: This study aimed to assess the dosimetric accuracy of treatment planning using HyperSight CBCT through phantom-based dose verification.

methodsThis study included three institutions equipped with the HyperSight imaging system on the Halcyon platform, with all procedures performed after acceptance testing and calibration. Each institution generated HU-to-density calibration curves using computed tomography (CT) scanners and standardized phantoms, and corresponding CBCT for planning (CBCTp) scans were also acquired. Additional CBCTp scans were acquired using a consistent phantom model (062 M) across the three institutions. Reference treatment plans were created on CT images and transferred to CBCTp and CBCT datasets for dose recalculation using identical parameters. Dosimetric assessment included gamma analysis and comparisons of DVH-based dosimetric metrics for relevant regions of interest (ROIs). End-to-end testing with an anthropomorphic phantom was performed using ion chamber measurements and film dosimetry at brain, bone, and thorax locations.

resultsHU-to-density curves showed consistent behavior across institutions, with larger variability only at higher densities. CBCTp calibrations agreed well with vendor references. DVH-based dosimetric metrics showed differences generally within 1% for both CBCTp and CBCT when compared with CT. Across institutions, gamma analysis of both CBCTp and CBCT yielded high passing rates (≥ 98.5% at 3%/2 mm). End-to-end testing with film dosimetry showed that CBCT-based plans agreed with measured doses within ± 4%, while CT-based plans were within ± 3%. Ion chamber measurements showed all dose differences within ± 2.3%, with both CBCTp and CBCT within ± 1.0% of CT.

conclusionsHyperSight CBCT provides accurate dose calculations when properly calibrated. Phantom-based validation demonstrated sub-2% deviations and strong agreement with CT, supporting its clinical use in adaptive radiotherapy.

Indexed as

Cone-Beam Computed TomographyImage Processing, Computer-AssistedParticle AcceleratorsPhantoms, ImagingRadiotherapy Planning, Computer-AssistedCalibrationHumansOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-Modulateddose calculationdosimetric validationHU‐to‐density calibration curvehypersight CBCTmulti‐institutional studyO‐Ring Linac

Identifiers

PMID41699857
PMCPMC12909596

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.