Evidence map›Paper›PMID 37425073›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2023

Geometrically independent contrast dilution gradient (CDG) velocimetry using photon-counting 1000 fps High Speed Angiography (HSA) for 2D velocity distribution estimation.

Kyle A Williams, Allison Shields, S V Setlur Nagesh, Daniel R Bednarek, Stephen Rudin, Ciprian N Ionita

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Kyle A WilliamsDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228.
Allison ShieldsCanon Stroke and Vascular Research Center, Buffalo, NY 14208.
S V Setlur NageshCanon Stroke and Vascular Research Center, Buffalo, NY 14208.
Daniel R BednarekDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228.
Stephen RudinDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228.
Ciprian N IonitaDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228.
Canon (United States) · USUniversity at Buffalo, State University of New York · US

Funding

High Speed Angiography at 1000 frames per secondR01EB030092 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI RUDIN, STEPHEN · 2020 to 2023
$2.6M
NIBIB NIH HHS R01 EB030092
6 · The paper itself

Abstract

Purpose: Previous studies have demonstrated the efficacy of contrast dilution gradient (CDG) analysis in determining large vessel velocity distributions from 1000 fps high-speed angiography (HSA). However, the method required vessel centerline extraction, which made it applicable only to non-tortuous geometries using a highly specific contrast injection technique. This study seeks to remove the need for Materials and Methods: 1000 fps HSA acquisitions were obtained Results: Regions well-saturated with contrast throughout the acquisition showed agreement when compared to CFD (MAPE of 18% for the carotid bifurcation inlet and MAPE of 27% for the internal carotid aneurysm), with respective completion times of 137 seconds and 5.8 seconds. Conclusions: CDG may be used to obtain velocity distributions in and surrounding vascular pathologies provided the contrast injection is sufficient to provide a gradient, and diffusion of contrast through the system is negligible.

Indexed as

1000 fpsAngiographyContrast Dilution GradientsHigh Speed AngiographyVelocimetry

Identifiers

PMID37425073
PMCPMC10327489
OpenAlexW4363650246

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.