Evidence map›Paper›PMID 33763458›Full record

ArticleFrontiers in cardiovascular medicine2021

Partitioning the Right Ventricle Into 15 Segments and Decomposing Its Motion Using 3D Echocardiography-Based Models: The Updated ReVISION Method.

Márton Tokodi, Levente Staub, Ádám Budai, Bálint Károly Lakatos, Máté Csákvári, Ferenc Imre Suhai, Liliána Szabó, Alexandra Fábián, Hajnalka Vágó, Zoltán Tősér and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

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  5. 3D echo derived right ventricular principal surface strain in pulmonary arterial hypertension.American journal of physiology. Heart and circulatory physiology · 2026
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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 at 3 institutions in 2 countries.

Márton TokodiHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Levente StaubArgus Cognitive, Inc., Lebanon, NH, United States.
Ádám BudaiDepartment of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary.
Bálint Károly LakatosHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Máté CsákváriArgus Cognitive, Inc., Lebanon, NH, United States.
Ferenc Imre SuhaiHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Liliána SzabóHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Alexandra FábiánHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Hajnalka VágóHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Zoltán TősérArgus Cognitive, Inc., Lebanon, NH, United States.
Béla MerkelyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Attila KovácsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUArgus International (United States) · USBudapest University of Technology and Economics · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three main mechanisms contribute to global right ventricular (RV) function: longitudinal shortening, radial displacement of the RV free wall (bellows effect), and anteroposterior shortening (as a consequence of left ventricular contraction). Since the importance of these mechanisms may vary in different cardiac conditions, a technology being able to assess their relative influence on the global RV pump function could help to clarify the pathophysiology and the mechanical adaptation of the chamber. Previously, we have introduced our 3D echocardiography (3DE)-based solution-the Right VentrIcular Separate wall motIon quantificatiON (ReVISION) method-for the quantification of the relative contribution of the three aforementioned mechanisms to global RV ejection fraction (EF). Since then, our approach has been applied in several clinical scenarios, and its strengths have been demonstrated in the in-depth characterization of RV mechanical pattern and the prognostication of patients even in the face of maintained RV EF. Recently, various new features have been implemented in our software solution to enable the convenient, standardized, and more comprehensive analysis of RV function. Accordingly, in our current technical paper, we aim to provide a detailed description of the latest version of the ReVISION method with special regards to the volumetric partitioning of the RV and the calculation of longitudinal, circumferential, and area strains using 3DE datasets. We also report the results of the comparison between 3DE- and cardiac magnetic resonance imaging-derived RV parameters, where we found a robust agreement in our advanced 3D metrics between the two modalities. In conclusion, the ReVISION method may provide novel insights into global and also segmental RV function by defining parameters that are potentially more sensitive and predictive compared to conventional echocardiographic measurements in the context of different cardiac diseases.

Indexed as

3D echocardiographydecomposed wall motionright ventricleright ventricular functionright ventricular mechanics

Identifiers

PMID33763458
PMCPMC7982839
OpenAlexW3135253760

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.