Evidence map›Paper›PMID 42900568›Full record

ArticleJournal of applied clinical medical physics2026

Image quality robustness of HyperSight-enabled versus conventional iterative cone-beam CT across patient size and imaging geometry.

Nicholas Nelson, Sorour Hosseini, Geoff Nelson, Thomas Martin, Bradley Nordin, Jessica Huang, Hui Zhao

Abstract readComparative 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.

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0cells of the map it votes in
0citing papers in PubMed
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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

7 authors.

Nicholas NelsonDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-6608-4276
Sorour HosseiniDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.
Geoff NelsonDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-8742-5009
Thomas MartinDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-4519-4983
Bradley NordinDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.
Jessica HuangDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.
Hui ZhaoDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances in cone-beam computed tomography (CBCT) have led to the development of next-generation CBCT systems with enhanced image quality and quantitative imaging capabilities. These advances are particularly relevant in the context adaptive radiation therapy, where improved soft tissue visualization and Hounsfield unit (HU) stability are increasingly important for target localization and CBCT-based dose calculation. PURPOSE: To determine how image quality and HU stability change with increasing phantom size, non-cylindrical geometries, and exposure level, and compare the robustness of Acuros-based HyperSight-enabled iterative CBCT (HS-iCBCT) and conventional iterative CBCT on a TrueBeam (TB-iCBCT) under these conditions.

methodsThe CatPhan® 604 phantom, combined with custom annular extensions, was used to simulate increasing patient size and non-cylindrical imaging geometries. Three configurations (no annulus, small annulus, and large annulus) were imaged across a range of exposure levels (mAs) using HS-iCBCT and TB-iCBCT. Image evaluation metrics included noise, contrast-to-noise ratio (CNR), low-contrast visibility (LCV), image uniformity, spatial resolution, and Hounsfield unit (HU) constancy.

resultsFor the no-annulus configuration, image quality was comparable between systems, with slightly lower noise observed for TB-iCBCT. With increasing phantom size through the added annuli, TB-iCBCT exhibited substantial degradation in noise, contrast, and uniformity, whereas HS-iCBCT maintained more consistent performance. Spatial resolution was primarily dependent on field of view and was similar between systems, with smaller fields of view provided improved spatial resolution. HU constancy degraded with increasing phantom size and material density for both systems but remained substantially more stable for HS-iCBCT.

conclusionsHS-iCBCT demonstrated improved robustness to patient size and imaging geometry, providing superior image quality and HU stability compared to TB-iCBCT. These improvements may support potential lower-dose imaging and more reliable performance in larger patients and non-cylindrical imaging geometries commonly encountered in clinical radiotherapy.

Indexed as

AlgorithmsCone-Beam Computed TomographyImage Processing, Computer-AssistedPhantoms, ImagingRadiographic Image Interpretation, Computer-AssistedRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-Modulatedadaptive radiotherapycone‐beam computed tomography (CBCT)contrast‐to‐noise ratioHounsfield unitsHyperSightimage qualityiterative reconstructionspatial resolution

Identifiers

PMID42900568
PMCPMC13682622

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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.