Evidence map›Paper›PMID 38906246›Full record

ArticleJournal of vascular and interventional radiology : JVIR2024

Quantitative 2-Dimensionsal Digital Subtraction Venography for Venous Interventions: Validation in Phantom and In Vivo Porcine Models.

Sarvesh Periyasamy, Erick L Oberstar, Joseph F Whitehead, Ayca Z Kutlu, Alexander A Pieper, Carson A Hoffman, Geng Li, Chris L Brace, Michael A Speidel, Paul F Laeseke

Abstract readValidation Study
In one paragraph

Article in Journal of vascular and interventional radiology : JVIR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Sarvesh PeriyasamyDepartment of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin. Electronic address: sarveshp@stanford.edu.
Erick L OberstarDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, Wisconsin.
Joseph F WhiteheadDepartment of Medical Physics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin.
Ayca Z KutluDepartment of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin.
Alexander A PieperDepartment of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin.
Carson A HoffmanDepartment of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin.
Geng LiDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin.
Chris L BraceDepartment of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin.
Michael A SpeidelDepartment of Medical Physics, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin; Department of Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin.
Paul F LaesekeDepartment of Radiology, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Integrated Training For Physician-ScientistsT32GM140935 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Anna Huttenlocher, Jeniel E Nett · 2021 to 2026
$6.5M
Development of a Quantitative Angiography Technique for Characterizing Hepatic Perfusion Changes in Response to EmbolizationF30CA250408 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PERIYASAMY, SARVESH · 2020 to 2022
$111k
NCATS NIH HHS UL1 TR000427NCI NIH HHS F30 CA250408NCI NIH HHS T32 CA009206NIGMS NIH HHS T32 GM140935
6 · The paper itself

Abstract

purposeTo determine the feasibility of using a 2-dimensional quantitative digital subtraction venography (qDSV) technique that employs a temporally modulated contrast medium injection to quantify blood velocity in phantom, normal, and stenotic porcine iliac vein models. MATERIALS AND

methodsBlood velocity was calculated using qDSV following temporally modulated pulsed injections of iodinated contrast medium and compared with Doppler ultrasound (US) measurements (phantom, in-line sensor; in vivo, diagnostic linear probe). Phantom evaluation was performed in a compliant polyethylene tube phantom with simulated venous flow. In vivo evaluation of qDSV was performed in normal (n = 7) and stenotic (n = 3) iliac vein models. Stenoses were created using endovenous radiofrequency ablation, and blood velocities were determined at baseline, after stenosis, after venoplasty, and after stent placement.

resultsIn the phantom model, qDSV-calculated blood velocities (12-50 cm/s) had very strong correlations with US-measured velocities (13-51 cm/s) across a range of baseline blood velocities and injection protocols (slope, 1.01-1.13; R

conclusionsVenous blood velocity was accurately quantified in a venous phantom and in vivo porcine models using qDSV. Intraprocedural changes in porcine iliac vein blood velocity were quantified with qDSV after creation of a stenosis and subsequently treating it with venoplasty and stent placement.

Indexed as

Angiography, Digital SubtractionFeasibility StudiesIliac VeinPhantoms, ImagingPhlebographyAnimalsBlood Flow VelocityConstriction, PathologicContrast MediaDisease Models, AnimalPredictive Value of TestsReproducibility of ResultsStentsSwineUltrasonography, DopplerContrast Media

Identifiers

PMID38906246
PMCPMC13154842

What OpenQuestion holds

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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.