Evidence map›Paper›PMID 39196286›Full record

ArticleEuropean radiology experimental2024

Intraindividual reproducibility of myocardial radiomic features between energy-integrating detector and photon-counting detector CT angiography.

Giuseppe Tremamunno, Akos Varga-Szemes, U Joseph Schoepf, Andrea Laghi, Emese Zsarnoczay, Nicola Fink, Gilberto J Aquino, Jim O'Doherty, Tilman Emrich, Milan Vecsey-Nagy

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In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Giuseppe TremamunnoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Akos Varga-SzemesDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
U Joseph SchoepfDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Andrea LaghiDepartment of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
Emese ZsarnoczayDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Nicola FinkDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Gilberto J AquinoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Jim O'DohertyDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Tilman EmrichDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. tilman.emrich@unimedizin-mainz.de.ORCID http://orcid.org/0000-0003-4156-7727
Milan Vecsey-NagyDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiomics is not yet used in clinical practice due to concerns regarding its susceptibility to technical factors. We aimed to assess the stability and interscan and interreader reproducibility of myocardial radiomic features between energy-integrating detector computed tomography (EID-CT) and photon-counting detector CT (PCD-CT) in patients undergoing coronary CT angiography (CCTA) on both systems.

methodsConsecutive patients undergoing clinically indicated CCTA on an EID-CT were prospectively enrolled for a PCD-CT CCTA within 30 days. Virtual monoenergetic images (VMI) at various keV levels and polychromatic images (T3D) were generated for PCD-CT, with image reconstruction parameters standardized between scans. Two readers performed myocardial segmentation and 110 radiomic features were compared intraindividually between EID-CT and PDC-CT series. The agreement of parameters was assessed using the intraclass correlation coefficient and paired t-test for the stability of the parameters.

resultsEighteen patients (15 males) aged 67.6 ± 9.7 years (mean ± standard deviation) were included. Besides polychromatic PCD-CT reconstructions, 60- and 70-keV VMIs showed the highest feature stability compared to EID-CT (96%, 90%, and 92%, respectively). The interscan reproducibility of features was moderate even in the most favorable comparisons (median ICC 0.50 [interquartile range 0.20-0.60] for T3D; 0.56 [0.33-0.74] for 60 keV; 0.50 [0.36-0.62] for 70 keV). Interreader reproducibility was excellent for the PCD-CT series and good for EID-CT segmentations.

conclusionMost myocardial radiomic features remain stable between EID-CT and PCD-CT. While features demonstrated moderate reproducibility between scanners, technological advances associated with PCD-CT may lead to greater reproducibility, potentially expediting future standardization efforts. RELEVANCE STATEMENT: While the use of PCD-CT may facilitate reduced interreader variability in radiomics analysis, the observed interscanner variations in comparison to EID-CT should be taken into account in future research, with efforts being made to minimize their impact in future radiomics studies. KEY POINTS: Most myocardial radiomic features resulted in being stable between EID-CT and PCD-CT on certain VMIs. The reproducibility of parameters between detector technologies was limited. PCD-CT improved interreader reproducibility of myocardial radiomic features.

Indexed as

Computed Tomography AngiographyAgedCoronary AngiographyFemaleHumansMaleMiddle AgedPhotonsProspective StudiesRadiomicsReproducibility of ResultsComputed tomography angiographyMyocardium (radiomics)Reproducibility of resultsTomography (x-ray computed)

Identifiers

PMID39196286
PMCPMC11358367

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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.