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Record W2794994075 · doi:10.1093/ehjci/jey042

Standardization of left atrial, right ventricular, and right atrial deformation imaging using two-dimensional speckle tracking echocardiography: a consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging

2018· review· en· W2794994075 on OpenAlexaff
Luigi P. Badano, Theodore J. Kolias, Denisa Muraru, Theodore P. Abraham, Gerard P. Aurigemma, Thor Edvardsen, Jan D’hooge, Erwan Donal, Alan G. Fraser, Thomas H. Marwick, Luc Mertens, Bogdan A. Popescu, Partho P. Sengupta, Patrizio Lancellotti, James D. Thomas, Jens‐Uwe Voigt, David Prater, Tomoaki Chono, Bernhard Mumm, Hélène Houle, Siemens Healthineers, Gunnar Hansen, Yasuhiko Abe, Stefano Pedri, Victoria Delgado, Alessia Gimelli, Bernard Cosyns, Bernhard Gerber, Frank A. Flachskampf, Kristina H. Haugaa, Maurizio Galderisi, Nuno Cardim, Philipp A. Kaufmann, Pier Giorgio Masci, Nina Ajmone Marsan, Monica Roşca, Matteo Cameli, Leyla Elif Sade

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2018
Typereview
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsSpeckle tracking echocardiographyStandardizationMedicineComputer scienceTask (project management)SoftwareMedical physicsCardiologyEngineeringSystems engineeringEjection fractionHeart failure

Abstract

fetched live from OpenAlex

The EACVI/ASE/Industry Task Force to standardize deformation imaging prepared this consensus document to standardize definitions and techniques for using two-dimensional (2D) speckle tracking echocardiography (STE) to assess left atrial, right ventricular, and right atrial myocardial deformation. This document is intended for both the technical engineering community and the clinical community at large to provide guidance on selecting the functional parameters to measure and how to measure them using 2D STE.This document aims to represent a significant step forward in the collaboration between the scientific societies and the industry since technical specifications of the software packages designed to post-process echocardiographic datasets have been agreed and shared before their actual development. Hopefully, this will lead to more clinically oriented software packages which will be better tailored to clinical needs and will allow industry to save time and resources in their development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.299
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1,628
Published2018
Admission routes1
Has abstractyes

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