Evidence map›Paper›PMID 30294838›Full record

ArticleJournal of applied clinical medical physics2018

On the improvement of CBCT image quality for soft tissue-based SRS localization.

Weihua Mao, Stephen J Gardner, Karen Chin Snyder, Ning Winston Wen, Hualiang Zhong, Haisen Li, Paul Jackson, Mira Shah, Indrin J Chetty

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Weihua MaoHenry Ford Health System, Detroit, MI, USA.
Stephen J GardnerHenry Ford Health System, Detroit, MI, USA.
Karen Chin SnyderHenry Ford Health System, Detroit, MI, USA.
Ning Winston WenHenry Ford Health System, Detroit, MI, USA.
Hualiang ZhongHenry Ford Health System, Detroit, MI, USA.
Haisen LiHenry Ford Health System, Detroit, MI, USA.
Paul JacksonHenry Ford Health System, Detroit, MI, USA.
Mira ShahHenry Ford Health System, Detroit, MI, USA.
Indrin J ChettyHenry Ford Health System, Detroit, MI, USA.
Henry Ford Health System · US

Funding

Varian Medical Systems
6 · The paper itself

Abstract

purposeWe explore the optimal cone-beam CT (CBCT) acquisition parameters to improve CBCT image quality to enhance intracranial stereotactic radiosurgery (SRS) localization and also assess the imaging dose levels associated with each imaging protocol.

methodsTwenty-six CBCT acquisition protocols were generated on an Edge

resultsThe Catphan data indicates that adjusting acquisition parameters had direct effects on the image noise level, low contrast detection, and CNR, but had minimal effects on uniformity, HU constancy, and spatial resolution. The noise level was reduced from 34.5 ± 0.3 to 18.5 ± 0.2 HU with a four-fold reduction in gantry speed, and to 18.7 ± 0.2 HU with a four-fold increase in tube current. Overall, the noise level was found to be proportional to inverse square root of imaging dose, and imaging dose was proportional to the product of total tube current-time product and the cube of the x-ray potential. Analysis of the anthropomorphic head phantom data and clinical SRS imaging data also indicates that noise is reduced with imaging dose increase.

conclusionsOur results indicate that optimization of the imaging protocol, and thereby an increase in the imaging dose, is warranted for improved soft-tissue visualization for intracranial SRS.

Indexed as

Phantoms, ImagingBone and BonesCone-Beam Computed TomographyHeadHumansImage Processing, Computer-AssistedOrgans at RiskPrognosisRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedSoft Tissue NeoplasmsCBCTimaging dosenoiseSRS

Identifiers

PMID30294838
PMCPMC6236842
OpenAlexW2897438756

What OpenQuestion holds

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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.