Evidence map›Paper›PMID 37510833›Full record

ArticleJournal of clinical medicine2023

Virtual Non-Contrast Spectral CT in Renal Masses: Is It Time to Discard Conventional Unenhanced Phase?

Giuseppe M Bucolo, Velio Ascenti, Simone Barbera, Federico Fontana, Francesco M Aricò, Filippo Piacentino, Andrea Coppola, Giuseppe Cicero, Maria Adele Marino, Christian Booz and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

14 authors.

Giuseppe M BucoloDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.ORCID 0000-0002-2076-5532
Velio AscentiPostgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy.
Simone BarberaDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.ORCID 0009-0002-7014-0124
Federico FontanaDiagnostic and Interventional Radiology Unit, ASST Settelaghi, Insubria University, 21100 Varese, Italy.ORCID 0000-0002-3809-5696
Francesco M AricòDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.ORCID 0000-0002-4230-8332
Filippo PiacentinoDiagnostic and Interventional Radiology Unit, ASST Settelaghi, Insubria University, 21100 Varese, Italy.ORCID 0000-0002-0756-9967
Andrea CoppolaDiagnostic and Interventional Radiology Unit, ASST Settelaghi, Insubria University, 21100 Varese, Italy.ORCID 0000-0002-3840-6693
Giuseppe CiceroDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.
Maria Adele MarinoDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.ORCID 0000-0002-5614-2660
Christian BoozDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany.
Thomas J VoglDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany.
Tommaso D'AngeloDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.ORCID 0000-0003-0004-6378
Massimo VenturiniDiagnostic and Interventional Radiology Unit, ASST Settelaghi, Insubria University, 21100 Varese, Italy.
Giorgio AscentiDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-layer Dual-Energy CT (dl-DECT) allows one to create virtual non-contrast (VNC) reconstructions from contrast-enhanced CT scans, with a consequent decrease of the radiation dose. This study aims to assess the reliability of VNC for the diagnostic evaluation of renal masses in comparison with true non-contrast (TNC) images. The study cohort included 100 renal masses in 40 patients who underwent dl-DECT between June and December 2021. Attenuation values and standard deviations were assessed through the drawing of regions of interest on TNC and VNC images reconstructed from corticomedullary and nephrographic phases. A Wilcoxon signed-rank test was performed in order to assess equivalence of data and Spearman's Rho correlation coefficient to evaluate correlations between each parameter. The diagnostic accuracy of VNC was estimated through the performance of receiver operating characteristic (ROC) curve analysis. Differences between attenuation values were, respectively, 74%, 18%, 5% and 3% (TNC-VNC

Indexed as

computed tomographydual energyfindings incidental kidneyvirtual non-contrast image

Identifiers

PMID37510833
PMCPMC10380803

What OpenQuestion holds

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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.