Evidence map›Paper›PMID 35969532›Full record

ArticlePloS one2022

Associations between fully-automated, 3D-based functional analysis of the left atrium and classification schemes in atrial fibrillation.

Maurice Pradella, Constantin Anastasopoulos, Shan Yang, Manuela Moor, Patrick Badertscher, Julian E Gehweiler, Florian Spies, Philip Haaf, Michael Zellweger, Gregor Sommer and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2022. 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
0.8field-weighted citation impact, top 26% 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

16 authors at 2 institutions in 2 countries.

Maurice PradellaDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0003-2449-7835
Constantin AnastasopoulosDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Shan YangDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Manuela MoorDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Patrick BadertscherDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Julian E GehweilerDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Florian SpiesDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Philip HaafDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Michael ZellwegerDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Gregor SommerDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Bram StieltjesDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Jens BremerichDepartment of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Stefan OsswaldDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-9240-6731
Michael KühneDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-2937-3711
Christian SticherlingDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Sven KnechtDepartment of Cardiology/Electrophysiology, University Hospital Basel, University of Basel, Basel, Switzerland.
University of Basel · CHNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) has been linked to left atrial (LA) enlargement. Whereas most studies focused on 2D-based estimation of static LA volume (LAV), we used a fully-automatic convolutional neural network (CNN) for time-resolved (CINE) volumetry of the whole LA on cardiac MRI (cMRI). Aim was to investigate associations between functional parameters from fully-automated, 3D-based analysis of the LA and current classification schemes in AF.

methodsWe retrospectively analyzed consecutive AF patients who underwent cMRI on 1.5T systems including a stack of oblique-axial CINE series covering the whole LA. The LA was automatically segmented by a validated CNN. In the resulting volume-time curves, maximum, minimum and LAV before atrial contraction were automatically identified. Active, passive and total LA emptying fractions (LAEF) were calculated and compared to clinical classifications (AF Burden score (AFBS), increased stroke risk (CHA2DS2VASc≥2), AF type (paroxysmal/persistent), EHRA score, and AF risk factors). Moreover, multivariable linear regression models (mLRM) were used to identify associations with AF risk factors.

resultsOverall, 102 patients (age 61±9 years, 17% female) were analyzed. Active LAEF (LAEF_active) decreased significantly with an increase of AFBS (minimal: 44.0%, mild: 36.2%, moderate: 31.7%, severe: 20.8%, p<0.003) which was primarily caused by an increase of minimum LAV. Likewise, LAEF_active was lower in patients with increased stroke risk (30.7% vs. 38.9%, p = 0.002). AF type and EHRA score did not show significant differences between groups. In mLRM, a decrease of LAEF_active was associated with higher age (per year: -0.3%, p = 0.02), higher AFBS (per category: -4.2%, p<0.03) and heart failure (-12.1%, p<0.04).

conclusionsFully-automatic morphometry of the whole LA derived from cMRI showed significant relationships between LAEF_active with increased stroke risk and severity of AFBS. Furthermore, higher age, higher AFBS and presence of heart failure were independent predictors of reduced LAEF_active, indicating its potential usefulness as an imaging biomarker.

Indexed as

Atrial FibrillationCardiomyopathiesHeart FailureAgedAtrial Function, LeftFemaleHeart AtriaHumansMaleMiddle AgedPredictive Value of TestsRetrospective Studies

Identifiers

PMID35969532
PMCPMC9377598
OpenAlexW4291617796

What OpenQuestion holds

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LicenceCC BY
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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.