Evidence map›Paper›PMID 33411087›Full record

ArticleCVIR endovascular2021

A technique for intra-procedural blood velocity quantitation using time-resolved 2D digital subtraction angiography.

Carson Hoffman, Sarvesh Periyasamy, Colin Longhurst, Rafael Medero, Alejandro Roldan-Alzate, Michael A Speidel, Paul F Laeseke

Abstract read
In one paragraph

Article in CVIR endovascular, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

7 authors.

Carson HoffmanDepartment of Medical Physics, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Sarvesh PeriyasamyDepartment of Biomedical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Colin LonghurstDepartment of Biostatistics and Medical Informatics, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Rafael MederoDepartment of Mechanical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Alejandro Roldan-AlzateDepartment of Biomedical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Michael A SpeidelDepartment of Medical Physics, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Paul F LaesekeSection of Interventional Radiology, Department of Radiology, University of Wisconsin - Madison, 600 Highland Ave, Madison, WI, 53792, USA. plaeseke@wisc.edu.ORCID http://orcid.org/0000-0002-8845-3930

Funding

INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Development of motion-corrected 4D digital subtraction angiography and quantification of embolization related changes in hepatic arterial blood flowR21EB024677 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI LAESEKE, PAUL F · 2018 to 2020
$596k
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
NCI NIH HHS F30 CA250408NIBIB NIH HHS R21 EB024677NIGMS NIH HHS T32 GM008692
6 · The paper itself

Abstract

background2D digital subtraction angiography (DSA) is utilized qualitatively to assess blood velocity changes that occur during arterial interventions. Quantitative angiographic metrics, such as blood velocity, could be used to standardize endpoints during angiographic interventions. PURPOSE: To assess the accuracy and precision of a quantitative 2D DSA (qDSA) technique and to determine its feasibility for in vivo measurements of blood velocity. MATERIALS AND

methodsA quantitative DSA technique was developed to calculate intra-procedural blood velocity. In vitro validation was performed by comparing velocities from the qDSA method and an ultrasonic flow probe in a bifurcation phantom. Parameters of interest included baseline flow rate, contrast injection rate, projection angle, and magnification. In vivo qDSA analysis was completed in five different branches of the abdominal aorta in two 50 kg swine and compared to 4D Flow MRI. Linear regression, Bland-Altman, Pearson's correlation coefficient and chi squared tests were used to assess the accuracy and precision of the technique.

resultsIn vitro validation showed strong correlation between qDSA and flow probe velocities over a range of contrast injection and baseline flow rates (slope = 1.012, 95% CI [0.989,1.035], Pearson's r = 0.996, p < .0001). The application of projection angle and magnification corrections decreased variance to less than 5% the average baseline velocity (p = 0.999 and p = 0.956, respectively). In vivo validation showed strong correlation with a small bias between qDSA and 4D Flow MRI velocities for all five abdominopelvic arterial vessels of interest (slope = 1.01, Pearson's r = 0.880, p = <.01, Bias = 0.117 cm/s).

conclusionThe proposed method allows for accurate and precise calculation of blood velocities, in near real-time, from time resolved 2D DSAs.

Indexed as

Arterial velocityDigital subtraction angiographyQuantitativeTime-attenuation curve

Identifiers

PMID33411087
PMCPMC7790988

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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 OpenQuestion graph.