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

Arterial velocity Digital subtraction angiography Quantitative Time-attenuation curve

Journal

CVIR endovascular
ISSN: 2520-8934
Titre abrégé: CVIR Endovasc
Pays: Switzerland
ID NLM: 101738484

Informations de publication

Date de publication:
07 Jan 2021
Historique:
received: 12 10 2020
accepted: 15 12 2020
entrez: 7 1 2021
pubmed: 8 1 2021
medline: 8 1 2021
Statut: epublish

Résumé

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

Sections du résumé

BACKGROUND BACKGROUND
2D 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 OBJECTIVE
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 METHODS METHODS
A 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.
RESULTS RESULTS
In 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).
CONCLUSION CONCLUSIONS
The proposed method allows for accurate and precise calculation of blood velocities, in near real-time, from time resolved 2D DSAs.

Identifiants

pubmed: 33411087
doi: 10.1186/s42155-020-00199-y
pii: 10.1186/s42155-020-00199-y
pmc: PMC7790988
doi:

Types de publication

Journal Article

Langues

eng

Pagination

11

Subventions

Organisme : NCI NIH HHS
ID : F30 CA250408
Pays : United States
Organisme : NIBIB NIH HHS
ID : R21 EB024677
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM008692
Pays : United States

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Auteurs

Carson Hoffman (C)

Department of Medical Physics, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.

Sarvesh Periyasamy (S)

Department of Biomedical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.

Colin Longhurst (C)

Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.

Rafael Medero (R)

Department of Mechanical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.

Alejandro Roldan-Alzate (A)

Department of Biomedical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Department of Mechanical Engineering, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
Department of Radiology, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.

Michael A Speidel (MA)

Department of Medical Physics, University of Wisconsin - Madison, 1111 Highland Ave, Madison, WI, 53705, USA.

Paul F Laeseke (PF)

Section of Interventional Radiology, Department of Radiology, University of Wisconsin - Madison, 600 Highland Ave, Madison, WI, 53792, USA. plaeseke@wisc.edu.

Classifications MeSH