Evidence map›Paper›PMID 33145701›Full record

Observational studyCardiovascular and interventional radiology2021

Digital Variance Angiography in Lower-Limb Angiography with Metal Implants.

M B Bastian, A M König, S Viniol, M Gyánó, D Szöllősi, I Góg, J P Kiss, S Osvath, K Szigeti, A H Mahnken and 1 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Cardiovascular and interventional radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Digital Variance Angiography in Selective Lower Limb Interventions.Journal of vascular and interventional radiology : JVIR · 2022
    Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

M B BastianDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Baldingerstrasse 1, 35043, Marburg, Germany.
A M KönigDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Baldingerstrasse 1, 35043, Marburg, Germany.
S ViniolDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Baldingerstrasse 1, 35043, Marburg, Germany.
M GyánóDepartment of Interventional Radiology, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
D SzöllősiDepartment of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
I GógDepartment of Vascular Surgery, Hungarian Defense Forces Medical Centre, Budapest, Hungary.
J P KissKinepict Health Ltd, Budapest, Hungary.
S OsvathDepartment of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
K SzigetiDepartment of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
A H MahnkenDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Baldingerstrasse 1, 35043, Marburg, Germany.
R P ThomasDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Baldingerstrasse 1, 35043, Marburg, Germany. rohit0904@gmail.com.ORCID http://orcid.org/0000-0002-1212-2764
Philipps University of Marburg · DESemmelweis University · HUZrínyi Miklós National Defence University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe presence of metal implants may reduce angiographic image quality due to automated beam adjustments. Digital variance angiography (DVA) is reported to be superior to digital subtraction angiography (DSA) with increased contrast-to-noise ratio (CNR) and better image quality. The aim of the study was to evaluate whether DVA could counterbalance the image quality impairment of lower-limb angiographies with metal implants. MATERIALS AND

methodsFrom November 2019 to January 2020, 85 raw lower-limb iodine contrast angiograms of 12 patients with metal implants were processed retrospectively with DVA analyses. For objective comparison, CNR of DSA and DVA images was calculated and the ratio CNR

resultsThe CNR was calculated and compared in 1252 regions of interest in 37 image pairs containing metal implants. The median ratio of CNR

conclusionOur small-sample pilot study shows that DVA provides significantly improved image quality in lower-limb angiography with metal implants, compared to DSA imaging. The improved CNR suggest that this approach could reduce radiation exposure for lower-limb angiography with metal implants. LEVEL OF EVIDENCE: Level 4, case studies.

Indexed as

Prostheses and ImplantsAgedAged, 80 and overAngiography, Digital SubtractionArtifactsContrast MediaFemaleHumansImage Processing, Computer-AssistedLegMaleMetalsPilot ProjectsRetrospective StudiesContrast MediaMetalsAutomated exposure controlContrast-to-noise ratioDigital variance angiographyMetal implants

Identifiers

PMID33145701
PMCPMC7864852
OpenAlexW3097103515

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.