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Record W2313263469 · doi:10.1186/1532-429x-18-s1-o28

Diffuse myocardial fibrosis in patients after Fontan operation: a T1 relaxometry magnetic resonance pilot study

2016· article· en· W2313263469 on OpenAlexaff
Atsuko Kato, Eugénie Riesenkampff, Deane Yim, Shi‐Joon Yoo, Mike Seed, Lars Grosse‐Wortmann

Bibliographic record

VenueJournal of Cardiovascular Magnetic Resonance · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAngiologyCardiologyMyocardial fibrosisVentricleInternal medicineFibrosisMagnetic resonance imagingHeart failureCardiac magnetic resonanceDiastoleCardiac fibrosisRelaxometryCardiac magnetic resonance imagingRadiologyBlood pressure

Abstract

fetched live from OpenAlex

Patients with single ventricle (SV) circulations are at risk for heart failure, frequently burdened by both systolic and diastolic cardiac dysfunction. The mechanisms of adverse remodeling of functionally univentricular hearts are incompletely understood. Diffuse myocardial fibrosis is one of the candidate morphological substrates, for which cardiac magnetic resonance (CMR) derived native T1 times and extracellular volume fraction (ECV) have been used as markers. The purpose of this pilot study was to explore whether there is evidence of accelerated myocardial fibrosis in young children after the Fontan operation using CMR. Consecutive pediatric SV patients after the Fontan operation who were referred for a clinical CMR examination underwent T1 mapping using a modified look-locker inversion recovery approach. Patients with two relatively balanced ventricles were excluded. Native T1 times and ECV in the free wall of the dominant ventricle were measured along with ventricular volumes and mass. Results were compared with those from healthy pediatric controls as well as between dominant left (LVs) and right ventricles (RVs). Thirteen SV patients (7 with a dominant LV and 6 with a dominant RV), aged 8.8 ± 4.9 years and 28 healthy control children (13.8 ± 2.5 years; p = 0.003) were included. Despite the younger age native T1 times were longer in the dominant ventricles of SV patients than those in the LVs of the control group (1013 ± 26 ms in dominant LVs [p = 0.007], and 1056 ± 36 ms in dominant RVs [p = 0.01] vs. 982 ± 26 ms in LVs of controls, Figure). ECV in SV patients with dominant LVs was similar to that of controls while ECV in dominant RVs was increased (23 ± 3% in dominant LVs [p = 0.5], and 29 ± 3% in dominant RVs [p = 0.002], vs. 22 ± 3% in LVs of controls, Figure). Among univentricular hearts, there was a trend towards shorter native T1 times in dominant LVs (p = 0.07). ECV was significantly lower in LVs than those in dominant RVs (p = 0.01). Indexed ventricular volumes and mass, ejection fraction, cumulative cardiopulmonary bypass or cross-clamp times did not correlate with native T1 or ECV. Native T1 times positively correlated with the age at the bidirectional cavopulmonary connection (r = 0.71, p = 0.001). Pre- and post contrast T1 measurements are feasible in children with functionally SVs. Higher T1 times suggest an increased likelihood of myocardial fibrosis in Fontan patients, especially in patients with a dominant RV. Whether the known greater risk for long-term complications following the Fontan completion in non-dominant LVs is a function of their increased fibrosis burden remains to be investigated. Student's T-test comparison of T1 parameters between the dominant ventricle in SV group and Control group .

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.222
Teacher spread0.214 · 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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Citations3
Published2016
Admission routes1
Has abstractyes

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