Evidence map›Paper›PMID 36742071›Full record

ArticleFrontiers in cardiovascular medicine2023

Quantification of paravalvular leaks associated with TAVI implants using 4D MRI in an aortic root phantom made possible by the use of 3D printing.

Philipp Aigner, Eleonora Sella Bart, Sebastiano Panfili, Tito Körner, Markus Mach, Martin Andreas, Markus Königshofer, Simone Saitta, Alberto Redaelli, Albrecht Schmid and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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 4 institutions in 2 countries.

Philipp AignerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Eleonora Sella BartCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Sebastiano PanfiliCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Tito KörnerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Markus MachDepartment of Cardiac Surgery, Medical University of Vienna, Vienna, Austria.
Martin AndreasDepartment of Cardiac Surgery, Medical University of Vienna, Vienna, Austria.
Markus KönigshoferCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Simone SaittaDepartment of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy.
Alberto RedaelliDepartment of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy.
Albrecht SchmidCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Francesco MoscatoCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATPolitecnico di Milano · ITAustrian Cluster for Tissue Regeneration · ATLudwig Boltzmann Institute for Cancer Research · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Transcatheter aortic valve implantation (TAVI) has become an alternative to surgical replacement of the aortic valve elderly patients. However, TAVI patients may suffer from paravalvular leaks (PVL). Detecting and grading is usually done by echocardiography, but is limited by resolution, 2D visualization and operator dependency. 4D flow magnetic resonance imaging (MRI) is a promising alternative, which did not reach clinical application in TAVI patients. The aim of this study was applying 3D printing technologies in order to evaluate flow patterns and hemodynamics of PVLs following TAVI, exploiting 4D flow MRI and standard ultrasound. Materials and methods: An MR-compatible, anatomically left ventricle, aortic root, and ascending aorta model was fabricated by combining 3D-printed parts and various soft silicone materials to match physiological characteristics. An Abbott Portico™ valve was used in continuous antegrade flow (12-22 l/min), retrograde flow with varying transvalvular pressures (60-110 mmHg), and physiological pulsatile hemodynamics (aortic pressure: 120/80 mmHg, cardiac output: 5 l/min) Time-resolved MR measurements were performed above and below the TAVI stent and compared with color Doppler ultrasound measurements in exactly the same setup. Results: The continuous antegrade flow measurements from MRI largely agreed with the flowmeter measurements, and a maximum error of only 7% was observed. In the retrograde configuration, visualization of the paravalvular leaks was possible from the MR measurements, but flow was overestimated by up to 33%. The 4D MRI measurement in the pulsatile setup revealed a single main PVL, which was also confirmed by the color Doppler measurements, and velocities were similar (2.0 m/s vs. 1.7 m/s). Discussion: 4D MRI techniques were used to qualitatively assess flow in a patient-specific, MR-compatible and flexible model, which only became possible through the use of 3D printing techniques. Flow patterns in the ascending aorta, identification and quantification of PVLs was possible and the location and extent of PVLs were confirmed by ultrasound measurements. The 4D MRI flow technique allowed evaluation of flow patterns in the ascending aorta and the left ventricle below the TAVI stent with good results in identifying PVLs, demonstrating its capabilities over ultrasound by providing the ability to visualize the paravalvular jets in three dimensions at however, additional expenditure of time and money.

Indexed as

3D printing4D MRIparavalvular leaksTAVIultrasound

Identifiers

PMID36742071
PMCPMC9894656
OpenAlexW4317509880

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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.