Evidence map›Paper›PMID 42039730›Full record

ArticleJournal of medical physics

Multi-institutional Comparison of Novel O-ring Linac Cone Beam Computed Tomography with Fan Beam Computed Tomography.

Luis Agulles-Pedrós, Robert Lee MacDonald, Amanda J Cherpak, Nayha Dixit, Lei Dong, Tianyu Zhao, Kundan Thind, Anthony Doemer, Boon-Keng Teo, Shiqin Su and 2 more

Abstract read
In one paragraph

Article in Journal of medical physics. 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

12 authors.

Luis Agulles-PedrósDepartment of Medical Physics, Nova Scotia Health, Halifax, Nova Scotia, Canada.
Robert Lee MacDonaldDepartment of Medical Physics, Nova Scotia Health, Halifax, Nova Scotia, Canada.
Amanda J CherpakDepartment of Medical Physics, Nova Scotia Health, Halifax, Nova Scotia, Canada.
Nayha DixitPhysics Clinical Operations, Varian Advanced Oncology Solutions, Palo Alto, California.
Lei DongDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
Tianyu ZhaoDepartment of Radiation Oncology, University of South Florida, Tampa, Florida.
Kundan ThindDepartment of Radiation Oncology, Henry Ford Health, Detroit, Michigan.
Anthony DoemerDepartment of Radiation Oncology, Henry Ford Health, Detroit, Michigan.
Boon-Keng TeoDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
Shiqin SuDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
Alexander MoncionDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
James L RobarDigital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This work presents a multi-institutional image comparison between novel O-ring linac cone-beam computed tomography (CBCT) and fan-beam computed tomography simulator (FBCT), among five institutions. Materials and Methods: A phantom was sent to five institutions with Ethos and Halcyon units equipped with HyperSight CBCT (HS-CBCT). HyperSight used a 125 kVp/176 mAs protocol and an iterative-CBCT reconstruction algorithm with scatter correction. FBCT imaging protocols used 125 kVp and exposure from 176 to 379 mAs. Results: Linear fitting of relative electron density versus Hounsfield unit (RED-vs-HU) curves was determined for RED ≤ 1 and RED ≥ 1. The contrast was evaluated with regard to solid water. Noise and contrast-to-noise ratio (CNR) were evaluated with and without exposure normalization. The RED-vs-HU curve for RED ≤ 1 of FBCT shows a 4% greater slope than HS-CBCT (P = 0.024), while for the RED ≥ 1 case, the FBCT slope is 15% larger compared to (P = 0.00004). HS-CBCT has a larger contrast as RED differs from 1, although at RED > 1, the difference is significant, up to 14%. However, noise is larger for HS-CBCT, especially for RED > 1, up to 10 times. Even with exposure correction, noise is more significant for HS-CBCT, which leads to a CNR ten times smaller than FBCT (RED = 1.78). Conclusion: This multi-institutional analysis of HS-CBCT showed reduced slopes of the RED-vs-HU curves compared to FBCT, which results in a greater sensitivity of the HS-CBCT to RED changes. HS-CBCT shows better contrast performance, although the broader beam leads to noise up to 10 times larger noise, even with the scatter correction. The CNR of the FBCT is up to one order of magnitude greater than that for HS-CBCT.

Indexed as

Computed tomography-simulatorcone-beam computed tomographyHyperSightimage analysisimage qualitynew technologyphantom image

Identifiers

PMID42039730
PMCPMC13105385

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.