Evidence map›Paper›PMID 37665770›Full record

ArticleMedical physics2024

Spatiotemporal frequency domain analysis for blood velocity measurement during embolization procedures.

Martin G Wagner, Joseph F Whitehead, Sarvesh Periyasamy, Paul F Laeseke, Michael A Speidel

Abstract read
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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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

3 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

5 authors.

Martin G WagnerDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Joseph F WhiteheadDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.
Sarvesh PeriyasamyDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Paul F LaesekeDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Michael A SpeidelDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.

Funding

U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Integrated Training For Physician-ScientistsT32GM140935 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Anna Huttenlocher, Jeniel E Nett · 2021 to 2026
$6.5M
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 CA250408NCI NIH HHS T32 CA009206NIBIB NIH HHS R21 EB024677NIGMS NIH HHS F30CA250408NIGMS NIH HHS T32 GM140935NIGMS NIH HHS T32GM140935
6 · The paper itself

Abstract

backgroundCurrently, determining procedural endpoints and treatment efficacy of vascular interventions is largely qualitative and relies on subjective visual assessment of digital subtraction angiography (DSA) images leading to large interobserver variabilities and poor reproducibility. Quantitative metrics such as the residual blood velocity in embolized vessel branches could help establish objective and reproducible endpoints. Recently, velocity quantification techniques based on a contrast enhanced X-ray sequence such as qDSA and 4D DSA have been proposed. These techniques must be robust, and, to avoid radiation dose concerns, they should be compatible with low dose per frame image acquisition. PURPOSE: To develop and evaluate a technique for robust blood velocity quantification from low dose contrast enhanced X-ray image sequences that leverages the oscillating signal created by pulsatile blood flow.

methodsThe proposed spatiotemporal frequency domain (STF) approach quantifies velocities from time attenuation maps (TAMs) representing the oscillating signal over time for all points along a vessel centerline. Due to the time it takes a contrast bolus to travel along the vessel centerline, the resulting TAM resembles a sheared sine wave. The shear angle is related to the velocity and can be determined in the spatiotemporal frequency domain after applying the 2D Fourier transform to the TAM. The approach was evaluated in a straight tube phantom using three different radiation dose levels and compared to ultrasound transit-time-based measurements. The STF velocity results were also compared to previously published approaches for the measurement of blood velocity from contrast enhanced X-ray sequences including shifted least squared (SLS) and phase shift (PHS). Additionally, an in vivo porcine study (n = 8) was performed where increasing amounts of embolic particles were injected into a hepatic or splenic artery with intermittent velocity measurements after each injection to monitor the resulting reduction in velocity.

resultsAt the lowest evaluated dose level (average air kerma rate 1.3 mGy/s at the interventional reference point), the Pearson correlation between ultrasound and STF velocity measurements was

conclusionsThe results show good agreement of the spatiotemporal frequency domain approach with ultrasound even in low dose per frame image sequences. Additionally, the in vivo study demonstrates the ability to monitor the physiological changes due to embolization. This could provide quantitative metrics during vascular procedures to establish objective and reproducible endpoints.

Indexed as

Embolization, TherapeuticAngiography, Digital SubtractionAnimalsBlood Flow VelocityRadiation DosageReproducibility of ResultsSwineUltrasonographyblood velocityembolizationfourier transform

Identifiers

PMID37665770
PMCPMC10909916

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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.