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Abstract 4360616: Cardiovascular magnetic resonance imaging estimation of diffuse myocardial and hepatic fibrosis late after tetralogy of Fallot repair

2025· article· en· W4415794024 on OpenAlexaff
Luiz Paulo José Marques, Ayako Ishikita, Subin Kuruvilla Thomas, Isaac Begun, Romina DSouza, Jacques Du Plessis, Darren A. Yuen, Kate Hanneman, Gauri Rani Karur, Rajiv Chaturvedi, Mark K. Friedberg, Slava Epelman, Susan Roche, Rachel M. Wald

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoUniversity Health NetworkToronto General Hospital
Fundersnot available
KeywordsTetralogy of FallotMyocardial fibrosisHemodynamicsVentricleMagnetic resonance imagingHeart failureFibrosisVentricular tachycardia

Abstract

fetched live from OpenAlex

Background: Cardiovascular magnetic resonance imaging (CMR) can estimate diffuse myocardial fibrosis using extracellular volume fraction (ECV) quantification. Objectives: This study aimed to explore associations between and prognostic value of myocardial and hepatic fibrosis after tetralogy of Fallot repair (rTOF). Methods: Adults with rTOF were prospectively enrolled along with healthy controls. Patients were categorized by hemodynamic load (pulmonary stenosis and/or pulmonary regurgitation). Available clinical data were recorded at study entry. Myocardial and hepatic ECV were calculated from pre/post-contrast T1 maps. The primary outcome was a composite of death, resuscitated sudden death, sustained ventricular tachycardia (VT) or VT requiring invasive therapy, and/or heart failure requiring hospital admission. Multivariable modelling was used to examine the association between CMR measures and adverse cardiovascular events. Results: We studied n=181 patients (56% male; median age 33 years [IQR 26–47]) and n=20 age/sex-matched controls. Hepatic and myocardial fibrosis measures were correlated (r=0.031, p<0.001). Diffuse hepatic fibrosis was higher in rTOF patients as compared with controls (586±69 versus 531±75 msec, p=0.006) with statistically significant differences between hemodynamic load type (p=0.04). Right ventricular (RV) native T1 in rTOF was increased as compared with controls (1081±76 versus 997±743 msec, p<0.001) with a trend towards significant differences when stratified by hemodynamic load (p=0.09). Late gadolinium enhancement (LGE) was seen in the RV in 46% (n=83) and in the left ventricle (LV) in 37% (n=66). At median follow-up 2.1 years (IQR 0.7-2.7), the composite outcome occurred in 9% (n=17). Independent predictors of adverse cardiovascular events on multivariable models, adjusted for age and sex, were RV end-systolic volume (HR 1.43, 95%CI 1.09-1.99, p=0.02), RV native T1 (HR 1.15, 95%CI 1.07-1.25, p<0.01) and LV LGE (HR 3.15, 95%CI 1.06-10.13, p<0.04); hepatic fibrosis was not associated with outcome. Conclusion: In rTOF, myocardial and hepatic fibrosis were modestly correlated. As compared with controls, myocardial and hepatic fibrosis was increased in rTOF. Diffuse myocardial fibrosis in the RV (native T1) and replacement fibrosis in the LV (LGE) were independently associated with cardiovascular outcomes, although hepatic fibrosis was not. These findings should be validated in larger populations with longer follow-up.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.007
GPT teacher head0.238
Teacher spread0.231 · 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
Published2025
Admission routes1
Has abstractyes

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