Evidence map›Paper›PMID 42056488›Full record

ArticleEuropean radiology2026

Comparing the detectability of pulmonary nodules on two ultra-high resolution CT scanners: a preliminary phantom study.

Joël Greffier, Cécile Salvat, Maxime Pastor, Nicolas Villani, Valérie Bousson, Ariane Vallot, Salim Si-Mohamed, Fabien de Oliveira, Jean-Paul Beregi, Djamel Dabli and 1 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Joël GreffierIMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, Nîmes, France. joel.greffier@chu-nimes.fr.ORCID http://orcid.org/0000-0002-1735-5129
Cécile SalvatService de Radioprotection et de physique médicale, Hôpital Lariboisière, APHP. Nord-Université de Paris, Paris, France.
Maxime PastorIMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, Nîmes, France.
Nicolas VillaniGuilloz Imaging Department, University Hospital Center of Nancy, Nancy, France.
Valérie BoussonService d'Imagerie OstéoArticulaire, Viscérale et Vasculaire, Hôpital Lariboisière Fernand Widal, APHP.Nord-Université de Paris, Paris, France.
Ariane VallotService d'Imagerie OstéoArticulaire, Viscérale et Vasculaire, Hôpital Lariboisière Fernand Widal, APHP.Nord-Université de Paris, Paris, France.
Salim Si-MohamedUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, Villeurbanne, France.
Fabien de OliveiraIMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, Nîmes, France.
Jean-Paul BeregiIMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, Nîmes, France.
Djamel DabliIMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, Nîmes, France.
Lama Hadid-BeurrierService de Radioprotection et de physique médicale, Hôpital Lariboisière, APHP. Nord-Université de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo objectively and subjectively compare the detectability of pulmonary nodules on an ultra-high-resolution CT (UHR-CT) scanner equipped with energy-integrating detectors and a photon-counting CT (PCCT) in UHR mode. MATERIALS AND

methodsAn image quality phantom and an anthropomorphic phantom were scanned on a UHR-CT and a PCCT in UHR mode at 7.5/2.5/0.4 mGy. The parameters typically used for UHR chest CT scans were selected. Noise power spectrum and task-based transfer function were computed to assess noise-magnitude, noise texture (f

resultsFor PCCT, noise magnitude increased, and f

conclusionUnder UHR conditions, pulmonary nodule detectability strongly depends on the dose level and reconstruction parameters. High-contrast nodule detection can be performed at all dose levels with both CT systems, but reconstruction strategies must be optimized for low-contrast nodule detection. KEY POINTS: Do the performance of UHR-CT and PCCT scanners improve the detectability of pulmonary nodules? PCCT showed dose-invariant noise texture and higher effective spatial resolution, whereas UHR-CT relied on dose-dependent noise suppression, producing smoother images and reduced spatial frequency. High-contrast nodule detection can be performed at all dose levels with both CT systems, particularly at ultra-low dose levels, but reconstruction strategies must be optimized for low-contrast nodule detection.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleTomography Scanners, X-Ray ComputedTomography, X-Ray ComputedEquipment DesignEquipment Failure AnalysisHumansPhantoms, ImagingRadiation DosageRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityImage enhancementImaging multiple pulmonary nodulesMultidetector computed tomographyPhantomsThorax

Identifiers

PMID42056488
PMCPMC13451324

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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.