Evidence map›Paper›PMID 34653607›Full record

ArticleJournal of vascular and interventional radiology : JVIR2022

Digital Variance Angiography in Selective Lower Limb Interventions.

Rohit P Thomas, Moritz B Bastian, Simon Viniol, Alexander M König, Sandeep S Amin, Osama Eldergash, Johannes Schnabel, Marcell Gyánó, Dávid Szöllősi, István Góg and 4 more

Abstract read
In one paragraph

Article in Journal of vascular and interventional radiology : JVIR, 2022. 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. Trial
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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.

Rohit P ThomasDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Marburg, Germany. Electronic address: rohit0904@gmail.com.
Moritz B BastianDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Marburg, Germany.
Simon ViniolDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Marburg, Germany.
Alexander M KönigDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Marburg, Germany.
Sandeep S AminDepartment of Diagnostic and Interventional Radiology, Klinikum Oldenburg AöR, Oldenburg, Germany.
Osama EldergashDepartment of Diagnostic and Interventional Radiology, Klinikum Oldenburg AöR, Oldenburg, Germany.
Johannes SchnabelDepartment of Diagnostic and Interventional Radiology, Klinikum Oldenburg AöR, Oldenburg, Germany.
Marcell GyánóDepartment of Interventional Radiology, Heart and Vascular Center, Semmelweis University, Budapest, Hungary; Kinepict Health Ltd, Budapest, Hungary.
Dávid SzöllősiKinepict Health Ltd, Budapest, Hungary; Department of Biophysics and Radiation Biology, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
István GógKinepict Health Ltd, Budapest, Hungary; Department of Vascular and Endovascular Surgery, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
János P KissKinepict Health Ltd, Budapest, Hungary.
Szabolcs OsváthKinepict Health Ltd, Budapest, Hungary; Department of Biophysics and Radiation Biology, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Krisztián P SzigetiKinepict Health Ltd, Budapest, Hungary; Department of Biophysics and Radiation Biology, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Andreas H MahnkenDepartment of Diagnostic and Interventional Radiology, University Hospital Marburg, Philipps University of Marburg, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the potential benefits of digital variance angiography (DVA) in selective lower limb angiography and to compare the performance of 2 DVA algorithms (conventional DVA1 and the recently developed DVA2) to that of digital subtraction angiography (DSA). MATERIALS AND

methodsFrom November 2019 to May 2020, 112 iodinated contrast media (ICM) and 40 carbon dioxide (CO

resultsBoth DVA algorithms produced similar increase (at least 2-fold) in CNR values (P < .001) and significantly higher image quality scores than DSA, independent of the contrast agent used. The overall scores with ICM were 3.61 ± 0.05 for DSA, 4.30 ± 0.04 for DVA1, and 4.33 ± 0.04 for DVA2 (each P < .001 vs DSA). The scores for CO

conclusionsDVA provides higher CNR and significantly better image quality in selective lower limb interventions irrespective of the contrast agent used. Between DVA algorithms, DVA1 is preferred because of its identical or better image quality than DVA2. DVA can potentially help the interventional decision process and its quality reserve might allow dose management (radiation/ICM reduction) in the future.

Indexed as

Lower ExtremityPeripheral Arterial DiseaseAngiography, Digital SubtractionContrast MediaHumansRetrospective StudiesContrast Media

Identifiers

PMID34653607
PMCPMC8844582

What Socratic 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 Socratic graph.