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Record W2135688502 · doi:10.5430/jbgc.v4n2p23

Three-dimensional speckle tracking echocardiography for the evaluation of segmental myocardial deformation

2014· article· en· W2135688502 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Biomedical Graphics and Computing · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsnot available
Fundersnot available
KeywordsSpeckle tracking echocardiographyMedicineReproducibility3D ultrasoundSpeckle patternNuclear medicineBiomedical engineeringUltrasoundCardiologyRadiologyComputer scienceHeart failureEjection fractionArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

Background : Although the feasibility of three-dimensional (3D) speckle tracking echocardiography (STE) for the evaluation of myocardial function has been demonstrated, the poor reproducibility of strain measurements obtained with 3D STE as compared to two-dimensional (2D) STE has been controversially discussed. Aim of this study was to demonstrate the benefit of longitudinal strain analysis by 3D STE as compared to the established 2D STE techniques. Methods : 2D and 3D STE was performed in 30 volunteers with normal systolic left ventricular (LV) function using cardiac ultrasound systems from two different vendors (Vivid E9 and iE33 xMATRIX). Global and segmental longi - tudinal strain (GLS, SLS) values were analyzed for 2D STE using respective software packages (Vivid E9: EchoPAC AFI; iE33 xMATRIX: QLAB CMQ 9.0). Measurements for 3D STE were performed using specific software for Vivid E9 (EchoPAC 4DAutoLVQ) and unspecific software for iE33 xMATRIX (TomTec Imaging Systems 4D left ventricular Analysis). Intra-, interobserver and test-retest variability as well as times for acquisition and analysis were compared between 2D and 3D STE techniques. Results : The reliability of SLS measurements using 3D STE was non-inferior to the measurements obtained by 2D STE, with perpetual constant results in all tests (ICC SLS 3D 0.78 – 0.94 vs . SLS 2D 0.73 – 0.93). Agreements between SLS values were better when vendor specific 2D and 3D software was applied. GLS measurements showed inhomogeneous results for both techniques (ICC GLS 3D 0.40 – 0.93 vs . GLS 2D 0.13 – 0.91). Acquisition time was significantly shorter for 3D datasets than for 2D datasets (3D 51.0 ± 10.66 sec vs . 2D 91.0 ± 10.9 sec, p < .01). Conclusion : 3D STE is a time-saving technology for the evaluation of myocardial deformation in daily clinical practice, generating results that are comparable to the conventional 2D STE techniques. SLS obtained by 3D STE seems to be a more robust parameter than GLS for the assessment of myocardial deformation, especially when vendor specific software packages are used.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.192

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.283
Teacher spread0.256 · 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