Evidence map›Paper›PMID 31249656›Full record

ArticleJournal of healthcare engineering2019

Simultaneous Functional and Morphological Assessment of Left Atrial Appendage by 3D Virtual Models.

Giorgia Vivoli, Emanuele Gasparotti, Marco Rezzaghi, Elisa Cerone, Massimiliano Mariani, Luigi Landini, Sergio Berti, Vincenzo Positano, Simona Celi

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  6. Review
  7. On the Role and Effects of Uncertainties in CardiovascularFrontiers in medical technology · 2021
    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

9 authors.

Giorgia VivoliBioCardioLab, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.
Emanuele GasparottiBioCardioLab, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.
Marco RezzaghiDepartment of Interventional Cardiology, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.
Elisa CeroneDepartment of Interventional Cardiology, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.
Massimiliano MarianiDepartment of Interventional Cardiology, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.
Luigi LandiniBioCardioLab, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.ORCID 0000-0002-2534-2651
Sergio BertiDepartment of Interventional Cardiology, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.ORCID 0000-0002-5244-0556
Vincenzo PositanoBioCardioLab, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.ORCID 0000-0001-6955-9572
Simona CeliBioCardioLab, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.ORCID 0000-0002-7832-0122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The left atrial appendage (LAA) is responsible for thrombus formation in patients with atrial fibrillation. The evaluation of both LAA function and morphology is crucial for the patient characterization and the preprocedural planning of LAA closure intervention. Despite the availability of 3D imaging modalities, the current standard image analysis is based on manual delineation of the LAA contours on 2D views. Methods: In this study, a comprehensive approach based on a full 3D analysis of the tomographic dataset by surface extraction and processing (3D-S) is presented. The proposed method allows extracting functional and morphologic information in the entire cardiac cycle by minimalizing manual user interaction. The proposed methodology has been validated on ten computer tomography datasets. Results: The proposed 3D-S method was feasible in all cases. Reproducibility was improved with respect to the reference 2D manual procedure (2D-S) (coefficient of variation 2.9 vs. 4.1% for diastolic ostium area; 3.8 vs. 6.1% for systolic ostium area; 2.4 vs. 5.3% for diastolic LAA volume; 2.7 vs. 5.9% for systolic LAA volume; and 7.7 vs. 17.1% for LAA ejection fraction). No significant differences were found between 2D-S and 3D-S measurements. Conclusions: In this study, we introduced a fully 3D approach for LAA characterization, allowing the simultaneous assessment of LAA function and geometry. The proposed approach could be used to improve the patient selection and the best sizing of the device for LAA closure and to allow a patient-specific 3D printing.

Indexed as

Atrial AppendageHeart AtriaPatient-Specific ModelingAgedAged, 80 and overAtrial FibrillationComputed Tomography AngiographyCoronary AngiographyFemaleHumansImaging, Three-DimensionalMaleReproducibility of Results

Identifiers

PMID31249656
PMCPMC6556349

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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.