Evidence map›Paper›PMID 40059322›Full record

ArticleThe British journal of radiology2025

Clinical photon-counting CT increases CT number precision and reduces patient size dependence compared to single- and dual-energy CT.

Jessica D Flores, Gavin Poludniowski, Adrian Szum, Georg Walther, Johan Lundberg, Patrik Nowik, Tobias Granberg

Abstract readComparative Study
In one paragraph

Article in The British journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. [Effectiveness of innervated medial plantar flap for reconstruction of soft tissue defects following foot tumor resection].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Article
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.

Jessica D FloresDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 141 86, Sweden.ORCID 0000-0002-6642-8398
Gavin PoludniowskiDepartment of Nuclear Medicine and Medical Physics, Karolinska University Hospital, Stockholm, 141 86, Sweden.ORCID 0000-0001-9945-0543
Adrian SzumDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 141 86, Sweden.ORCID 0000-0003-4836-8747
Georg WaltherDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 141 86, Sweden.ORCID 0000-0002-5531-2613
Johan LundbergDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 141 86, Sweden.ORCID 0000-0003-2379-8695
Patrik NowikDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Huddinge, 141 52, Sweden.ORCID 0000-0001-5575-7797
Tobias GranbergDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 141 86, Sweden.ORCID 0000-0001-6700-1022

Funding

Center for Innovative Medicine 20190565Karolinska Institutet and the Swedish Society for Medical Research S19-0227StratNeuro StartUp
6 · The paper itself

Abstract

objectivesTo study whether photon-counting computed tomography (PCCT) can improve CT number accuracy and precision and reduce patient size dependence compared to dual-energy CT (DECT) virtual monoenergetic imaging (VMI) and single-energy CT (SECT).

methodsClinical PCCT, DECT, and SECT scanners were used to image a multi-energy quality assurance phantom and tissue-equivalent inserts with/without an outer nested annulus, representing 2 object sizes (18 and 33 cm). CT numbers were converted to linear attenuation coefficients (LAC) and regions of interest applied. Theoretical monoenergetic LAC were calculated from known elemental compositions as a ground truth. Percent differences in mean LAC between phantom sizes, between mean and theoretical LAC, and its coefficient of variation (COV) were calculated.

resultsMean LAC percent differences between small and larger phantoms were highest in DECT (within -3% to 9%) and SECT (within 1%-5%), particularly at higher calcium and iodine concentrations, while being relatively constant in PCCT over material concentrations and VMI energies (within ±2%). The COV in mean LAC was consistently lower (about 2-5 times) in PCCT relative to DECT and SECT for calcium in the large phantom. With consideration of the theoretical uncertainties of 2%, both PCCT and DECT showed comparable agreement to theoretical LAC.

conclusionsPCCT VMI produces CT numbers with less dependence on patient size and increased precision in large object sizes than DECT VMI and SECT. ADVANCES IN KNOWLEDGE: Clinical PCCT provides less variable CT numbers than DECT and SECT with less sensitivity to the imaged object size.

Indexed as

Body SizePhotonsRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedHumansPhantoms, Imagingaccuracybeam hardeningCT numberCT number variationphoton-counting CTprecision

Identifiers

PMID40059322
PMCPMC12012351

What OpenQuestion holds

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LicenceCC BY
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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.