Evidence map›Paper›PMID 37424835›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2023

2D versus 3D comparison of angiographic imaging biomarkers using computational fluid dynamics simulations of contrast injections.

A Shields, M M S Bhurwani, K Williams, V Chivukula, D R Bednarek, S Rudin, C 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  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

7 authors at 2 institutions in 1 country.

A ShieldsCanon Stroke and Vascular Research Center, University at Buffalo (SUNY), Buffalo, NY.
M M S BhurwaniQAS.AI Inc, Buffalo, NY.
K WilliamsCanon Stroke and Vascular Research Center, University at Buffalo (SUNY), Buffalo, NY.
V ChivukulaFlorida Institute of Technology, Melbourne, FL.
D R BednarekCanon Stroke and Vascular Research Center, University at Buffalo (SUNY), Buffalo, NY.
S RudinCanon Stroke and Vascular Research Center, University at Buffalo (SUNY), Buffalo, NY.
C N IonitaCanon Stroke and Vascular Research Center, University at Buffalo (SUNY), Buffalo, NY.
University at Buffalo, State University of New York · USFlorida Institute of Technology · 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

Quantitative angiography (QAngio) may provide hemodynamic information during neurointerventional procedures through imaging biomarkers related to contrast flow. The standard clinical implementation of QAngio is limited by projection imaging: analysis of contrast motion within complex 3D geometries is restricted to 1-2 projection views, truncating the potential wealth of imaging biomarkers related to disease progression or efficacy of treatment. To understand the limitations of 2D biomarkers, we propose the use of in-silico contrast distributions to investigate the potential benefits of 3D-QAngio within the context of neurovascular hemodynamics. Ground-truth in-silico contrast distributions were generated in two patient-specific intracranial aneurysm models, accounting for the physical interactions of contrast media and blood. A short bolus of contrast was utilized to obtain full a wash-in/ wash-out cycle within the aneurysm ROI. Simulated angiograms mimicking clinical cone-beam CT (CBCT) acquisitions were then generated, and volumetric contrast distributions were reconstructed to analyze bulk contrast flow. The ground-truth 3D-CFD, reconstructed 3D-CBCT-DSA, and 2D-DSA projections were used to extract QAngio parameters related to contrast time dilution curves, such as area under the curve (AUC), peak height (PH), mean-transit-time (MTT), time-to-peak (TTP), and time to arrival (TTA). An initial comparison of quantitative flow parameters in both 2D and 3D, in a smaller and larger aneurysm, indicated that 3D-QAngio can provide a good description of bulk flow characteristics (TTA, TTP, MTT), but recovery of integral parameters (PH, AUC) aneurysms is limited. Nonetheless, incorporation of 3D-QAngio methods may provide additional insight into our understanding of abnormal vascular flow patterns.

Indexed as

AneurysmAngiographic Parametric Imaging (API)Computational Fluid Dynamics (CFD)Quantitative Angiography

Identifiers

PMID37424835
PMCPMC10327468
OpenAlexW4362694133

What OpenQuestion holds

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LicenceTDM
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.