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Record W1863516902 · doi:10.1161/res.115.suppl_1.95

Abstract 95: Longitudinal In Vivo Quantification of Infarct Size and Cardiac Function in a Murine Model of Myocardial Infarction using Novel Compact High-Performance MRI

2014· article· en· W1863516902 on OpenAlexaff
Tonya Coulthard, Jun Wu

Bibliographic record

VenueCirculation Research · 2014
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineVentricleMyocardial infarctionIn vivoCardiac function curveMasson's trichrome stainInfarctionCardiologyTransplantationNuclear medicineMagnetic resonance imagingInternal medicinePathologyRadiologyImmunohistochemistryHeart failureBiology

Abstract

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Intro: Delayed Enhancement Imaging (DEI) characterizes MI and predicts therapeutic efficacy following coronary revascularization, stem cell transplantation, or other procedures. Typically gadolinium-based (Gd) contrast agents are injected intravenously and accumulate in the lesion, differentiating between normal and diseased myocardium. Traditionally, DEI has been explored using superconducting high-field MRI. Using a novel compact MRI at 1 Tesla, there is increased sensitivity to Gd-based contrast agents compared with higher-field MRI systems. Hypothesis: In this study, DEI on a compact MRI system was employed with spatial intensity analysis to measure infarct size. Tagged cine MRI assessed myocardial strain using the HARP method. Post-mortem histology of Masson Trichrome staining estimated infarct size. Correlation analysis determined relationships between infarct size measured via DEI and histology. Methods: C57BL/6 MI mice had ligation of the left anterior descending artery. Four sham control and five MI mice we imaged using compact MRI (ICON compact MRI, Billerica, MA) and monitored longitudinally over 21 days for infarct progression and cardiac function in vivo. DE imaging was performed 10-20 minutes post injection of 2 μL Gd contrast agent (ProHance, 0.5 mmol/ml). Images were acquired in short axis, 1 mm superior to the apex. Post-processing analysis (pcVirtue, Diagnosoft, Morrisville, NC) measured cardiac function and infarct size. Results and Conclusions: Analyses of DEI data indicate an average infarct size of 24.85 +/- 15.09 % in the left ventricle. One week after MI induction, a much lower EF was observed in MI mice with respect to control (35.3 +/- 7.567% vs. 67.3 +/- 1.6 %), with a slight recovery of cardiac function in MI mice by week 3 (EF = 45.5 +/- 3.1%). Strain analysis also indicated significantly lower average peak strain in MI vs control mice (6.9 +/- 4.3 vs. 21.5 +/- 0.4 %). Preliminary results demonstrate successful monitoring of cardiac function while performing DEI to visualize and quantify MI at 1 Tesla and leverage the benefits of the increased sensitivity of Gd-based contrast imaging with novel compact MRI. Such imaging and analysis techniques could be used to test efficacy of multiple therapeutic interventions.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.112
GPT teacher head0.385
Teacher spread0.273 · 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
Published2014
Admission routes1
Has abstractyes

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