Evidence map›Paper›PMID 42814263›Full record

ArticleEuropean radiology experimental2026

Optimization of spectral photon-counting CT reconstruction parameters for improved detection of peritoneal metastases compared with energy-integrating detector dual-energy CT: a phantom study.

Joël Greffier, Rémi Grange, Djamel Dabli, Angèle Houmeau, Maria Nicole Antonuccio, Pascal Rousset, Salim Si-Mohamed

Abstract readComparative Study
In one paragraph

Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 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
Rémi GrangeDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Djamel DabliIMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, Nîmes, France.
Angèle HoumeauUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, CREATIS UMR 5220, Villeurbanne, France.
Maria Nicole AntonuccioCT Clinical Science, Philips, Suresnes, France.
Pascal RoussetCICLY, EMR 3738, Lyon 1 University, Lyon, France.
Salim Si-MohamedUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, CREATIS UMR 5220, Villeurbanne, France.

Funding

HORIZON EUROPE European Research Council 101293057
6 · The paper itself

Abstract

objectiveTo determine the best combination of reconstruction parameters on a spectral photon-counting CT (SPCCT) system to improve detection of peritoneal metastases (PMs) on virtual monoenergetic images (VMIs) at 40 keV. MATERIALS AND

methodsA spectral phantom was scanned using SPCCT and dual-energy CT (EID-DECT) at 8.5 mGy (CTDI

resultsNoise magnitude (-22.4 ± 0.8%) and noise texture (f

conclusionOptimized reconstruction settings on SPCCT offer better image quality and lesion detectability on 40 keV VMIs than EID-DECT. Combining the STD-B kernel with level i9 achieved the best compromise between noise texture, spatial resolution, and detectability for simulated PMs. KEY POINTS: Question Can the performance of a spectral photon-counting CT (SPCCT) improve detection of peritoneal metastases (PM on 40 keV images compared with a conventional dual-energy CT (EID-DECT) system? Findings SPCCT with optimized reconstruction settings improved image noise, spatial resolution, and lesion detectability compared with EID-DECT at 40 keV. Relevance Statement SPCCT may enhance the preoperative assessment of colorectal cancer patients by better visualizing small or low-contrast peritoneal lesions. Validation in larger clinical cohorts is required to confirm these findings and define standardized reconstruction protocols.

Indexed as

Peritoneal NeoplasmsRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAlgorithmsHumansPhantoms, ImagingPhotonsColorectal cancerDual-energyPeritoneal metastasesPhoton-counting CTTask-based image quality assessment

Identifiers

PMID42814263
PMCPMC13627548

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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.