Evidence map›Paper›PMID 26450643›Full record

ArticlePhysiological measurement2015

In vitro validation of endovascular Doppler-derived flow rates in models of the cerebral circulation.

P M McGah, J D Nerva, R P Morton, M C Barbour, M R Levitt, P D Mourad, L J Kim, A Aliseda

Abstract readValidation Study
In one paragraph

Article in Physiological measurement, 2015. 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

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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Computational Fluid Dynamics for the Prediction of Endograft Thrombosis in the Superficial Femoral Artery.Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2023
    Article
  7. Reconstructing patient-specific cerebral aneurysm vasculature for in vitro investigations and treatment efficacy assessments.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2019
    Article
  8. Article
  9. 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

8 authors.

P M McGahDepartment of Mechanical Engineering, University of Washington, Stevens Way, Box 352600, Seattle, WA 98195, USA.
J D Nerva
R P Morton
M C Barbour
M R Levitt
P D Mourad
L J Kim
A Aliseda

Funding

Predicting cerebral aneurysm recurrence using Doppler guidewire measurementsR01NS088072 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, LOUIS JOONG · 2014 to 2018
$1.7M
Doppler flow wires and hemodynamics in intracranial aneurysmsR03NS078539 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, LOUIS JOONG · 2012 to 2013
$152k
NINDS NIH HHS 1R01NS088072NINDS NIH HHS 5R03NS078539NINDS NIH HHS R01 NS088072NINDS NIH HHS R03 NS078539
6 · The paper itself

Abstract

This study presents validation of endovascular Doppler velocimetry-based volumetric flow rate measurements conducted in a pulsatile flow loop simulating conditions in both the internal carotid and basilar artery. In vitro models of cerebral vessels, each containing an aneurysm, were fabricated from patient anatomies extracted from 3D rotational angiography. Flow velocity measurements were collected with three different experimental techniques: an endovascular Doppler wire, Particle Image Velocimetry, and a time-resolved ultrasonic flow meter. Womersley's theory of pulsatile flow in a cylindrical vessel was used to compute time-resolved volumetric flow rates from the endovascular Doppler velocity. The volumetric flow rates computed from the Doppler measurements were compared to those from the Particle Image Velocimetry profile measurements, and the direct measurements from the ultrasonic flow meter. The study establishes confidence intervals for any systematic or random errors associated with the wire-derived flow rates as benchmarked to the other two modalities. There is an approximately 10% random error in the Doppler-derived peak and time-averaged flow rates. There is a measurable uniform bias, about 15% too low, in the time-averaged Doppler-derived flow rates. There is also a small proportional bias in the peak systolic Doppler-derived flow rates. Potential sources of error are also discussed.

Indexed as

Cerebrovascular CirculationEndovascular ProceduresLaser-Doppler FlowmetryModels, BiologicalBiasHemodynamicsHumans

Identifiers

PMID26450643
PMCPMC4684705

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Registered trials

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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.