Evidence map›Paper›PMID 30102773›Full record

ArticleMedical physics2018

Measuring blood velocity using 4D-DSA: A feasibility study.

Gabe Shaughnessy, Sebastian Schafer, Michael A Speidel, Charles M Strother, Charles A Mistretta

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Experimental study using phantom models of cerebral aneurysms and 4D-DSA to measure blood flow on 3D-color-coded images.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  6. Article
  7. Article
  8. Flat-panel conebeam CT in the clinic: history and current state.Journal of medical imaging (Bellingham, Wash.) · 2021
    Article
  9. Virtual 2D angiography from four-dimensional digital subtraction angiography (4D-DSA): A feasibility study.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2021
    Article
  10. Article
  11. 4D-DSA: Development and Current Neurovascular Applications.AJNR. American journal of neuroradiology · 2021
    Review
  12. Article
  13. Optimizing the Quality of 4D-DSA Temporal Information.AJNR. American journal of neuroradiology · 2019
    Article
  14. 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

5 authors at 2 institutions in 2 countries.

Gabe ShaughnessyDepartment of Medical Physics, University of Wisconsin, Madison, WI, USA.
Sebastian SchaferSiemens Healthineers, Erlangen, Germany.
Michael A SpeidelDepartment of Medical Physics, University of Wisconsin, Madison, WI, USA.
Charles M StrotherDepartment of Radiology, University of Wisconsin, Madison, WI, USA.
Charles A MistrettaDepartment of Medical Physics, University of Wisconsin, Madison, WI, USA.
University of Wisconsin–Madison · USSiemens Healthcare (Germany) · DE

Funding

4D DSA and 4D Fluoroscopy: Validation of Diagnostic and Therapeutic CapabilitiesR01HL116567 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI SPEIDEL, MICHAEL A, STROTHER, CHARLES MILTON · 2013 to 2018
$3.7M
NHLBI NIH HHS R01 HL116567
6 · The paper itself

Abstract

purposeFour-dimensional (4D) DSA reconstruction provides three-dimensional (3D) time-resolved visualization of contrast bolus passage through arterial vasculature in the interventional setting. The purpose of this study was to evaluate the feasibility of using these data in measuring blood velocity and flow.

methodsThe pulsatile signals in the time concentration curves (TCCs) measured at different points along a vessel are markers of the movement of a contrast bolus and thus of blood flow. When combined with the spatial content, that is, geometry of the vasculature, this information then provides the data required to determine blood velocity. A Fourier-based algorithm was used to identify and follow the pulsatility signal. A Side Band Ratio (SBR) metric was used to reduce uncertainty in identifying the pulsatility in regions where the signal was weak. We tested this method using 4D-DSA reconstructions from vascular phantoms as well as from human studies.

resultsIn five studies using 3D printed patient-specific cerebrovascular phantoms, velocities calculated from the 4D-DSAs were found to be within 10% of velocities measured with a flow meter. Calculated velocity and flow values from three human studies were within the range of those reported in the literature.

conclusions4D-DSA provides temporal and spatial information about blood flow and vascular geometry. This information is obtained using conventional rotational angiographic systems. In this small feasibility study, these data allowed calculations of velocity values that correlated well with measured values. The availability of velocity and blood flow information in the interventional setting would support a more quantitative approach to diagnosis, treatment planning and post-treatment evaluations of a variety of cerebrovascular diseases.

Indexed as

Blood Flow VelocityArteriovenous MalformationsFeasibility StudiesHumansImaging, Three-DimensionalPhantoms, ImagingTime Factors4D-DSAblood flowblood velocimetry

Identifiers

PMID30102773
PMCPMC6767933
OpenAlexW2885961880

What OpenQuestion holds

Textmetadata
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.