Evidence map›Paper›PMID 37287600›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2023

Angiographic velocimetry analysis using contrast dilution gradient method with a 1000 frames per second photon-counting detector.

Kyle A Williams, Allison Shields, Swetadri Vasan Setlur Nagesh, Mitchell Chudzik, Daniel R Bednarek, Stephen Rudin, Ciprian Ionita

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Kyle A WilliamsUniversity at Buffalo, Department of Biomedical Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0003-2642-8630
Allison ShieldsCanon Stroke and Vascular Research Center, Buffalo, New York, United States.ORCID https://orcid.org/0000-0002-4915-3820
Swetadri Vasan Setlur NageshCanon Stroke and Vascular Research Center, Buffalo, New York, United States.
Mitchell ChudzikUniversity at Buffalo, Department of Biomedical Engineering, Buffalo, New York, United States.
Daniel R BednarekUniversity at Buffalo, Department of Biomedical Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0002-6096-3568
Stephen RudinUniversity at Buffalo, Department of Biomedical Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0002-2481-7520
Ciprian IonitaUniversity at Buffalo, Department of Biomedical Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0001-7049-0592

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: Contrast dilution gradient (CDG) analysis is a quantitative method allowing blood velocity estimation using angiographic acquisitions. Currently, CDG is restricted to peripheral vasculature due to the suboptimal temporal resolution of current imaging systems. We investigate extension of CDG methods to the flow conditions of proximal vasculature using 1000 frames per second (fps) high-speed angiographic (HSA) imaging. Approach: We performed Results: Using HSA, the CDG method displayed agreement with CFD at or above 250 fps [mean-absolute error (MAE): Conclusions: Using 1000 fps HSA, CDG-based extraction of velocities across large arteries is possible. The method is sensitive to noise; however, image processing techniques and a contrast injection, which adequately fills the vessel assist algorithm accuracy. The CDG method provides high resolution quantitative information for rapidly transient flow patterns observed in arterial circulation.

Indexed as

1000 fpsangiographyframe ratepatient-specific phantomvelocimetry

Identifiers

PMID37287600
PMCPMC10242414

What OpenQuestion holds

Textmetadata
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.