Evidence map›Paper›PMID 41733429›Full record

ArticleJournal of applied clinical medical physics2026

Comparative evaluation of 4DCT and 4DCBCT for motion and volume measurement accuracy in a dynamic phantom.

Bhumika Handa, Satyapal Rathee

Abstract readComparative StudyEvaluation 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Bhumika HandaMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Satyapal RatheeMedical Physics Division, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0002-2742-8432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective motion management is essential for accurate treatment planning, target localization and dose delivery in lung stereotactic body radiotherapy (SBRT). Lung tumors typically move 5-30 mm in superior-inferior (SI) direction. The internal target volume (ITV) may be expanded up to 5 mm for day-to-day setup variations. Four-dimensional cone beam computed tomography (4DCBCT), with a rotation scan time of 120 seconds, has the potential to improve on-line target localization; however, its accuracy in target motion and volume measurements should be compared to four-dimensional computed tomography (4DCT) with a scan time of < 60 seconds. PURPOSE: To compare the accuracy of 4DCT and 4DCBCT in measuring target motion and volume in a phantom programmed with both regular and patient-derived irregular respiratory waveforms.

methodsA thorax phantom with a known target was imaged using 4DCT and 4DCBCT under controlled sinusoidal and irregular breathing patterns. 4DCBCT images were reconstructed using both Basic (i.e. FDK) and Advance (i.e. modified Mckinnon-Bates) algorithms where the Advance algorithm subtracts re-projection of prior image (using the entire un-binned projections) from phase sorted projections to reduce streak artifacts. Motion amplitudes were calculated from target centroids across respiratory phases, as well as from 3DCBCT-based motion blur profiles. Target volumes were assessed in average intensity projection (AIP) and maximum intensity projection (MIP), and in the reconstructed phases. Measured amplitudes were compared against programmed values, while the target volumes were compared in AIP, MIP and the phases between 4DCT and 4DCBCT.

resultsFor regular motion, 4DCT demonstrated the smallest deviations from the programmed amplitudes (SI, Left-right (LR) and Anterior-posterior (AP) 95% confidence intervals (CI): -0.8 to 0.1 mm, -0.3 to 0.2 mm and -0.5 to 1.1 mm respectively). In regular motion, 4DCBCT Advance algorithm slightly underestimated the SI motion by 1 mm (SI CI: -1.5 to -0.4 mm, LR CI -1.4 to 1.2 mm, AP CI -1.2 to 0.6 mm) while the Basic algorithm provided slightly larger variability (SI CI: -1.1 to 0.7 mm, LR CI -1.1 to 0.6 mm, AP CI -0.9 to 1.3 mm). 3DCBCT-based estimates showed higher variability across all motion directions (SI CI -1.7 to 1.6 mm, LR CI -1.9 to 1.6 mm, AP CI -1.6 to 1.0 mm). For irregular motion, both 4DCT and 4DCBCT Advance yielded differences from average programmed amplitude with no consistent superiority. The measured target volume showed strong agreement between 4DCT and 4DCBCT. The target volume expansion due to within-phase blurring showed a very similar trend between 4DCT and 4DCBCT Advance.

conclusions4DCBCT within clinical workflow provides comparable motion and volume measurement accuracy to 4DCT. 3DCBCT estimated motion amplitude showed large differences from the programmed amplitude. 4DCBCT offers explicit and confident motion resolution, and phase-dependent target volume at the time of treatment. These findings support the feasibility of integration of 4DCBCT, pending clinical validation, for image guidance in lung SBRT, especially where motion consistency between simulation and treatment is uncertain. Patient studies are needed to capture the influence of patient-specific breathing irregularities such as hysteresis, baseline drift or anatomical deformation.

Indexed as

Cone-Beam Computed TomographyFour-Dimensional Computed TomographyLung NeoplasmsPhantoms, ImagingRadiosurgeryRadiotherapy Planning, Computer-AssistedAlgorithmsHumansImage Processing, Computer-AssistedMotion CaptureMovementRadiotherapy DosageRadiotherapy, Intensity-ModulatedRespiration4DCBCT4DCTMotion managementSBRT

Identifiers

PMID41733429
PMCPMC12931249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.