Evidence map›Paper›PMID 37238274›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Virtual Monoenergetic Imaging of Lower Extremities Using Dual-Energy CT Angiography in Patients with Diabetes Mellitus.

Giuseppe Mauro Bucolo, Tommaso D'Angelo, Ibrahim Yel, Vitali Koch, Leon D Gruenewald, Ahmed E Othman, Leona Soraja Alizadeh, Daniel P Overhoff, Stephan Waldeck, Simon S Martin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. CT Angiography of the Upper Extremities: Review of Acute Arterial Entities.Radiographics : a review publication of the Radiological Society of North America, Inc · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

15 authors at 4 institutions in 3 countries.

Giuseppe Mauro BucoloDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.ORCID 0000-0002-2076-5532
Tommaso D'AngeloDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.ORCID 0000-0003-0004-6378
Ibrahim YelDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.ORCID 0000-0002-3894-4782
Vitali KochDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.ORCID 0000-0001-6915-5906
Leon D GruenewaldDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.ORCID 0000-0001-7959-5008
Ahmed E OthmanDepartment of Neuroradiology, University Hospital Mainz, 55131 Mainz, Germany.ORCID 0000-0002-3827-8695
Leona Soraja AlizadehDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.
Daniel P OverhoffDepartment of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, 56072 Koblenz, Germany.ORCID 0000-0001-5881-4769
Stephan WaldeckDepartment of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, 56072 Koblenz, Germany.
Simon S MartinDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.
Silvio MazziottiDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.
Giorgio AscentiDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.
Alfredo BlandinoDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy.
Thomas J VoglDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.ORCID 0000-0001-5218-1075
Christian BoozDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany.
Goethe University Frankfurt · DEUniversity of Messina · ITJohannes Gutenberg University Mainz · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (DM) is the most common metabolic disorder in the world and an important risk factor for peripheral arterial disease (PAD). CT angiography represents the method of choice for the diagnosis, pre-operative planning, and follow-up of vascular disease. Low-energy dual-energy CT (DECT) virtual mono-energetic imaging (VMI) has been shown to improve image contrast, iodine signal, and may also lead to a reduction in contrast medium dose. In recent years, VMI has been improved with the use of a new algorithm called VMI+, able to obtain the best image contrast with the least possible image noise in low-keV reconstructions. PURPOSE: To evaluate the impact of VMI+ DECT reconstructions on quantitative and qualitative image quality in the evaluation of the lower extremity runoff. MATERIALS AND

methodsWe evaluated DECT angiography of lower extremities in patients suffering from diabetes who had undergone clinically indicated DECT examinations between January 2018 and January 2023. Images were reconstructed with standard linear blending (F_0.5) and low VMI+ series were generated from 40 to 100 keV, in an interval of 15 keV. Vascular attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for objective analysis. Subjective analysis was performed using five-point scales to evaluate image quality, image noise, and diagnostic assessability of vessel contrast.

resultsOur final study cohort consisted of 77 patients (41 males). Attenuation values, CNR, and SNR were higher in 40-keV VMI+ reconstructions compared to the remaining VMI+ and standard F_0.5 series (HU: 1180.41 ± 45.09; SNR: 29.91 ± 0.99; CNR: 28.60 ± 1.03 vs. HU 251.32 ± 7.13; SNR: 13.22 ± 0.44; CNR: 10.57 ± 0.39 in standard F_0.5 series) (

conclusionsDECT 40-keV and 55-keV VMI+ showed the highest objective and subjective parameters of image quality, respectively. These specific energy levels for VMI+ reconstructions could be recommended in clinical practice, providing high-quality images with greater diagnostic suitability for the evaluation of lower extremity runoff, and potentially needing a lower amount of contrast medium, which is particularly advantageous for diabetic patients.

Indexed as

CT angiographydual energylower extremitiesvirtual monoenergetic imaging

Identifiers

PMID37238274
PMCPMC10217432
OpenAlexW4377138719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.