Evidence map›Paper›PMID 38939468›Full record

ArticleJACC. Advances2022

FEops HEARTguide Patient-Specific Computational Simulations for WATCHMAN FLX Left Atrial Appendage Closure: A Retrospective Study.

Lauren S Ranard, Torsten P Vahl, Robert Sommer, Vivian Ng, Jay Leb, Kyle Lehenbauer, Patita Sitticharoenchai, Omar Khalique, Nadira Hamid, Matthieu De Beule and 2 more

Abstract read
In one paragraph

Article in JACC. Advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

12 authors.

Lauren S RanardStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Torsten P VahlStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Robert SommerStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Vivian NgStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Jay LebStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Kyle LehenbauerStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Patita SitticharoenchaiStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Omar KhaliqueStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Nadira HamidStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
Matthieu De BeuleFEops NV, Ghent, Belgium.
Alessandra BavoFEops NV, Ghent, Belgium.
Rebecca T HahnStructural Heart and Valve Center, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Three-dimensional transesophageal echocardiography (3D-TEE) is the primary imaging tool for left atrial appendage closure planning. The utility of cardiac computed tomography angiography (CCTA) and patient-specific computational models is unknown. Objectives: The purpose of this study was to evaluate the accuracy of the FEops HEARTguide patient-specific computational modeling in predicting appropriate device size, location, and compression of the WATCHMAN FLX compared to intraprocedural 3D-TEE. Methods: Patients with both preprocedural and postprocedural CCTA and 3D-TEE imaging of the LAA who received a WATCHMAN FLX left atrial appendage closure device were studied (n = 22). The FEops HEARTguide platform used baseline CCTA imaging to generate a prediction of device size(s), device position(s), and device dimensions. Blinded (without knowledge of implanted device size/position) and unblinded (implant device size/position disclosed) simulations were evaluated. Results: In 16 (72.7%) patients, the blind simulation predicted the final implanted device size. In these patients, the 3D-TEE measurements were not significantly different and had excellent correlation (Pearson correlation coefficient (r) ≥ 0.90). No patients had peridevice leak after device implant. In the 6 patients for whom the model did not predict the implanted device size, a larger device size was ultimately implanted as per operator preference. The model measurements of the unblinded patients demonstrated excellent correlation with 3D-TEE. Conclusions: This is the first study to demonstrate that the FEops HEARTguide model accurately predicts WATCHMAN FLX device implantation characteristics. Future studies are needed to evaluate if computational modeling can improve confidence in sizing, positioning, and compression of the device without compromising technical success.

Indexed as

computational modelingleft atrial appendage closure

Identifiers

PMID38939468
PMCPMC11198077

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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.