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Abstract 18015: “Apical Sparing” Longitudinal Strain Pattern With Cardiac MRI Correlates With LGE Distribution in Cardiac Amyloidosis

2015· article· en· W2890305085 on OpenAlexaff
Lynne Williams, Julián F. Forero, Anna Calleja, Diego Delgado, Andrew Crean, Harry Rakowski, Paaladinesh Thavendiranathan

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineCardiac amyloidosisHypertrophic cardiomyopathyBasal (medicine)Apex (geometry)CardiologyNuclear medicineFeature trackingInternal medicineCardiomyopathyAmyloidosisHeart failureAnatomy

Abstract

fetched live from OpenAlex

Introduction: Regional variations in longitudinal strain (LS) have been demonstrated on echocardiography in patients with cardiac amyloidosis (CA). Hypothesis: We aimed to describe regional patterns in LS using feature-tracking software applied to cardiac MRI images (CMR) in CA, hypertrophic cardiomyopathy (HCM), and Anderson-Fabry’s disease (AFD) and to relate these patterns to late gadolinium enhancement (LGE). Methods: Patients with CA (n=51) were compared to left ventricular mass index balanced patients with HCM (n=20) and AFD (n=20). LS analysis was performed using Velocity Vector Imaging (VVI) on steady state free precession cine images (4, 3, and 2-chamber views). Values were recorded for each of 18 myocardial segments. A regional LS ratio representing “apical sparing” was calculated as the ratio of the sum of the apical segmental LS values divided by the sum of the basal and mid-segmental LS values. LGE was quantified for the basal, mid, and apical myocardial segments using a threshold of 5SD above remote myocardium. A regional LGE ratio was calculated similar to the “apical sparing” ratio. Results: The regional LS ratio was significantly higher in patients with CA (1.05±0.49) than in patients with AFD (0.79±0.24; p=0.025) and HCM (0.84±0.32; p=0.025). In patients with CA there was a regional difference in LGE burden, with lower LGE in the apex (31.9±20%) compared to the basal (52.7±22%) and mid-segments (37.9±19%). The regional LGE ratio was significantly lower in patients with CA (0.34±0.14) than in patients with AFD (0.54±0.64; p<0.001) and HCM (0.73±0.41; p<0.001). Conclusions: Cardiac amyloidosis is characterized by regional variations in LS from base to apex. “Apical sparing” in LS is seen with CMR images and can be an additional tool to differentiate CA from other causes of LVH. The concomitant presence of a base to apex gradient in LGE burden by CMR suggests that the regional strain gradient may be associated with burden of amyloid deposition.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.248
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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Citations1
Published2015
Admission routes1
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