Evidence map›Paper›PMID 34185147›Full record

ArticleEuropean radiology2022

Comparison of image quality between spectral photon-counting CT and dual-layer CT for the evaluation of lung nodules: a phantom study.

Salim A Si-Mohamed, Joel Greffier, Jade Miailhes, Sara Boccalini, Pierre-Antoine Rodesch, Aurélie Vuillod, Niels van der Werf, Djamel Dabli, Damien Racine, David Rotzinger and 7 more

Abstract read
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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 48 citations in OpenAlex.

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  3. Analysis of colorectal liver metastases in photon-counting detector CT - optimizing imaging through spectral reconstruction.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

17 authors at 7 institutions in 5 countries.

Salim A Si-Mohamed *INSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, UJM-Saint-Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69100, Villeurbanne, France. salim.si-mohamed@chu-lyon.fr.ORCID http://orcid.org/0000-0003-0314-4010
Joel Greffier *Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group, 2415, Nimes, EA, France.
Jade MiailhesRadiology Department, Hospices Civils de Lyon, 69500, Lyon, France.
Sara BoccaliniINSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, UJM-Saint-Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69100, Villeurbanne, France.
Pierre-Antoine RodeschINSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, UJM-Saint-Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69100, Villeurbanne, France.
Aurélie VuillodMedical Physics Department, Hospices Civils de Lyon, 69000, Lyon, France.
Niels van der WerfDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Djamel DabliDepartment of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group, 2415, Nimes, EA, France.
Damien RacineInstitute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Rue du Grand-Pré 1, 1007, Lausanne, Switzerland.
David RotzingerDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Fabio BecceDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Yoad YagilPhilips Research, Haifa, Israel.
Philippe CoulonPhilips Research, Suresnes, France.
Alain VlassenbroekCT Clinical Science, 5682, Best, The Netherlands.
Loic BousselINSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, UJM-Saint-Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69100, Villeurbanne, France.
Jean-Paul BeregiDepartment of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group, 2415, Nimes, EA, France.
Philippe DouekINSA-Lyon, University of Lyon, University Claude-Bernard Lyon 1, UJM-Saint-Étienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69100, Villeurbanne, France.
Université Claude Bernard Lyon 1 · FRUniversité de Montpellier · FRUniversity of Lausanne · CHHospices Civils de Lyon · FRErasmus MC · NLPhilips (France) · FRPhilips (Israel) · IL

Funding

Horizon 2020 643694
6 · The paper itself

Abstract

objectivesTo evaluate the image quality (IQ) of a spectral photon-counting CT (SPCCT) using filtered back projection (FBP) and hybrid iterative reconstruction (IR) algorithms (iDose

methodsTwo phantoms were scanned using a standard lung protocol (120 kVp, 40 mAs) with SPCCT and DLCT systems. Raw data were reconstructed using FBP and 9 iDose

resultsNoise magnitude was -47% ± 2% lower on average with SPCCT than with DLCT for iDose

conclusionsHigher IQ for GGN and solid nodules was demonstrated with SPCCT compared with DLCT with better detectability using iDose KEY POINTS: Using spectral photon-counting CT compared with dual-layer CT, noise magnitude was reduced with improvements in spatial resolution and detectability of ground-glass nodules and solid lung nodules. As the iDose

Indexed as

Radiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAlgorithmsHumansLungPhantoms, ImagingRadiation DosageDiagnosisImage enhancementImage reconstructionLungMultidetector computed tomography

Identifiers

PMID34185147
OpenAlexW3177474344

What OpenQuestion holds

Textmetadata
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.