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Record W2948751668 · doi:10.1093/ehjci/jez118.011

P423Left atrial fibrosis predicts impaired atrial function: proof of concept

2019· article· en· W2948751668 on OpenAlexaboutno aff
L H G A Hopman, Pranav Bhagirath, C P Allaart, Marco Götte

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsnot available
Fundersnot available
KeywordsCardiologyInternal medicineMedicineProof of conceptAtrial fibrillationFibrosisComputer science

Abstract

fetched live from OpenAlex

Introduction: Left atrial (LA) remodeling, associated with changes in atrial geometry, function and texture, is the hallmark of the pathophysiology of atrial fibrillation (AF). Magnetic Resonance (MR) imaging plays a key role in the assessment of LA remodeling. Recently, fibrotic burden, longitudinal strain and sphericity are introduced as novel measures that can be used to characterize atrial remodeling. However, the relation between these parameters is yet unknown. This proof of concept study evaluated the association between LA longitudinal strain measured by MR Tissue Tracking, LA sphericity, and LA fibrotic burden in paroxysmal AF patients referred for catheter ablation. Method: Eight paroxysmal AF patients underwent MR imaging (1.5T Avanto, Siemens) in sinus rhythm prior to their pulmonary vein isolation (PVI) procedure. Sphericity and fibrotic burden were assessed from 3D wholeheart and late gadolinium enhancement (LGE) images acquired at the end of atrial diastole, using custom-written software. LA longitudinal strain was derived from cine-MR images using Tissue Tracking (Circle CVI42, Calgary, Canada). Corresponding to the 3 LA phases, strain measurements were subdivided into total strain (representing atrial reservoir function), passive strain (representing LA conduit function) and active strain (representing LA contractile booster pump function). The LA longitudinal strain was compared to sphericity and fibrotic burden in AF patients. Results: Mean LA sphericity was 70.69 ± 2.16% and mean LA scar burden was 13.29 ± 15.44%. Total LA strain and passive LA strain had a strong correlation with scar burden (R2 = 0.63; p = 0.019, R2 = 0.88; p = 0.001, respectively) (figure 1A and 1B). Active strain, representing atrial booster function, was not correlated with LA fibrotic burden (R2 = 0.1; p = 0.455) (figure 1C). LA scar area had no correlation with LA sphericity (R2 = 0.13; p = 0.382) (figure 1D). No relation was observed between LA sphericity and longitudinal strain. Conclusion: LA reservoir function and LA conduit function are both significantly impaired in the presence of LA scar, while active atrial booster function was not affected. Therefore, impaired passive atrial deformation may serve as an early indicator of atrial fibrosis, even in the presence of limited remodeled atria, as indicated by a preserved, non-spherical shape. Future studies with a larger patient cohort are warranted to explore this concept in more detail. Abstract P423 Figure.

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)0.011
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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