Evidence map›Paper›PMID 42555230›Full record

ArticleMedical physics2026

A comparison of relative stopping power derived by fast kV-switching dual-energy CT, single-energy CT, and proton CT in phantom and tissue.

Hazel Wang, Yanling Qu, Yang Li, George Dedes, Maggie Stauffer, Robert Johnson, Paul Deak, Mark Pankuch

Abstract readComparative Study
In one paragraph

Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hazel WangMedical Physics, Northwestern Medicine, Warrenville, Illinois, USA.
Yanling QuCT Engineering, GE Healthcare, Beijing, China.
Yang LiCT Engineering, GE Healthcare, Beijing, China.
George DedesDepartment of Medical Physics, LMU Munich, Munich, Germany.
Maggie StaufferMedical Physics, Northwestern Medicine, Warrenville, Illinois, USA.
Robert JohnsonSanta Cruz Institute for Particle Physics, University of California at Santa Cruz, Santa Cruz, California, USA.
Paul DeakResearch, GE Healthcare, Glattbrugg, Switzerland.
Mark PankuchMedical Physics, Northwestern Medicine, Warrenville, Illinois, USA.

Funding

GE Healthcare
6 · The paper itself

Abstract

backgroundThe accuracy of relative stopping power (RSP) is a critical aspect for safe treatment planning in proton therapy. Dual-energy CT (DECT) has the ability to estimate RSP more accurately than conventional single-energy CT (SECT) due to its improved material separation. RSP accuracy is commonly determined in homogeneous phantom material as it can be more challenging to determine in heterogeneous biological tissues. Proton CT (pCT) is a modality that directly determines RSP and can be used as a comparative benchmark for evaluating the RSP accuracy of DECT and SECT derived values across homogeneous and heterogeneous material. PURPOSE: In this study, DECT was compared to SECT in both homogeneous phantom inserts of known RSP and heterogeneous tissue samples of unknown RSP using pCT as a quantitative reference. The purpose of this study was to assess the ability of DECT to improve RSP estimation over SECT in unknown RSP of heterogeneous tissues.

methodsA variety of homogeneous phantom inserts were scanned using pCT, DECT, and SECT. The estimated RSP from each imaging modality was compared to the RSP of each insert directly measured using a multilayer ionization chamber (MLIC). Scans of heterogeneous tissue samples were also acquired using pCT, DECT, and SECT. The images from each modality were registered and a variety of tissue regions of interest were contoured. The percent difference of DECT and SECT derived RSP values compared to pCT was calculated across both homogeneous phantom and heterogeneous tissue regions and compared.

resultsThe mean absolute percentage error for the inserts compared to the known RSP was 1.6% ± 1.6% in pCT, 1.1% ± 1.6% in DECT, and 4.6% ± 6.2% in SECT. For inserts with relative electron density greater than 0.93 and excluding true water and aluminum, DECT average percent difference compared to pCT was -0.5% ± 0.02% while in SECT it was -1.5% ± 0.07%. In biological tissue, excluding enamel, the average percent difference for DECT compared to pCT was -0.3% ± 1.1%, while for SECT the percent difference compared to pCT was 0.6% ± 3.0%.

conclusionsFast kV-switching DECT obtained smaller RSP deviations from pCT compared to SECT in homogeneous tissue-equivalent phantom inserts. In heterogeneous tissue samples, DECT maintained improved RSP accuracy compared to SECT.

Indexed as

Phantoms, ImagingProtonsTomography, X-Ray ComputedTime FactorsProtonsDECTproton CTproton therapy

Identifiers

PMID42555230
PMCPMC13440618

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