Evidence map›Paper›PMID 38134125›Full record

ArticlePloS one2023

Dynamic Computed Tomography Angiography for capturing vessel wall motion: A phantom study for optimal image reconstruction.

Lotte B Stam, Sabine M L Linden, Luuk J Oostveen, Hendrik H G Hansen, René Aquarius, Cornelis H Slump, Chris L de Korte, Ronald H M A Bartels, Mathias Prokop, Hieronymus D Boogaarts and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

11 authors at 2 institutions in 1 country.

Lotte B StamDepartment of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Sabine M L LindenDepartment of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-5130-3760
Luuk J OostveenDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Hendrik H G HansenDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
René AquariusDepartment of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-0968-6884
Cornelis H SlumpTechnical Medical Center, University of Twente, Enschede, The Netherlands.
Chris L de KorteDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Ronald H M A BartelsDepartment of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Mathias ProkopDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Hieronymus D BoogaartsDepartment of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Frederick J A MeijerDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliably capturing sub-millimeter vessel wall motion over time, using dynamic Computed Tomography Angiography (4D CTA), might provide insight in biomechanical properties of these vessels. This may improve diagnosis, prognosis, and treatment decision making in vascular pathologies. PURPOSE: The aim of this study is to determine the most suitable image reconstruction method for 4D CTA to accurately assess harmonic diameter changes of vessels.

methodsAn elastic tube (inner diameter 6 mm, wall thickness 2 mm) was exposed to sinusoidal pressure waves with a frequency of 70 beats-per-minute. Five flow amplitudes were set, resulting in increasing sinusoidal diameter changes of the elastic tube, measured during three simulated pulsation cycles, using ECG-gated 4D CTA on a 320-detector row CT system. Tomographic images were reconstructed using one of the following three reconstruction methods: hybrid iterative (Hybrid-IR), model-based iterative (MBIR) and deep-learning based (DLR) reconstruction. The three reconstruction methods where based on 180 degrees (half reconstruction mode) and 360 degrees (full reconstruction mode) raw data. The diameter change, captured by 4D CTA, was computed based on image registration. As a reference metric for diameter change measurement, a 9 MHz linear ultrasound transducer was used. The sum of relative absolute differences (SRAD) between the ultrasound and 4D CTA measurements was calculated for each reconstruction method. The standard deviation was computed across the three pulsation cycles.

resultsMBIR and DLR resulted in a decreased SRAD and standard deviation compared to Hybrid-IR. Full reconstruction mode resulted in a decreased SRAD and standard deviations, compared to half reconstruction mode.

conclusions4D CTA can capture a diameter change pattern comparable to the pattern captured by US. DLR and MBIR algorithms show more accurate results than Hybrid-IR. Reconstruction with DLR is >3 times faster, compared to reconstruction with MBIR. Full reconstruction mode is more accurate than half reconstruction mode.

Indexed as

Computed Tomography AngiographyRadiographic Image Interpretation, Computer-AssistedAlgorithmsAngiographyImage Processing, Computer-AssistedRadiation DosageTomography, X-Ray Computed

Identifiers

PMID38134125
PMCPMC10745207
OpenAlexW4390099837

What OpenQuestion holds

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LicenceCC BY
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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.