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Record W2948364535 · doi:10.1093/ehjci/jez117.049

P187The role of cardiovascular magnetic resonance imaging in assessing heart failure with a short, contrast-agent free protocol

2019· article· en· W2948364535 on OpenAlexaff
Elizabeth Hillier, Matthias G. Friedrich

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMagnetic resonance imagingHeart failureContrast (vision)MedicineProtocol (science)CardiologyInternal medicineNuclear magnetic resonanceRadiologyComputer sciencePathologyPhysicsArtificial intelligenceAlternative medicine

Abstract

fetched live from OpenAlex

OnBehalf: MUHC CMR Group INTRODUCTION: Heart Failure (HF) is the leading cause of cardiovascular morbidity, mortality, and health care use. New technological developments, including the use of T1 and T2-imaging to assess tissue characterization, in Cardiovascular Magnetic Resonance Imaging (CMR) has led to reduced scan times. The potential for contrast-agent free protocols have further been made possible through Oxygenation-Sensitive CMR (OS-CMR) in combination with standardized breathing maneuvers, which has been established as a potential marker for microvascular function. PURPOSE: The aim of this study was to assess the time of a contrast-free protocol for routine clinical heart failure assessment. METHODS: Twelve heart failure patients (mean age 64 ± 9 years; 36% female) and fourteen age-matched healthy volunteers (mean age 56 ± 5 years; 64% female) underwent a CMR on a clinical 3T scanner (Skyra, Siemens, Erlangen, Germany). The short, contrast-free CMR protocol included standard cine sequences for ventricular function (short axis stack), T1 mapping (MOLLI, short axis view), T2 mapping (FLASH, short axis view), and OS-CMR (in basal and mid-ventricular short axis views). Strain values were obtained using the standard cine short-axis views and the 2- and 4-chamber long-axis images. The global myocardial oxygenation reserve (MORE) was obtained from OS-CMR images at baseline and during a long breath-hold that was preceded by a 60s period of hyperventilation. Time of scan was determined from the first and last sequences performed. RESULTS: Compared with the control group, patients with HF had, on average, a higher global T1 (p < 0.0001), higher global T2 (p = 0.0009), larger end-diastolic volume (p = 0.0005), larger end-systolic volume (p < 0.0001), larger left-ventricular end-diastolic atrial volume (p = 0.0016) and lower left-ventricular ejection fraction (p < 0.0001), with a reduced global peak systolic circumferential strain (<0.0001), and global peak systolic longitudinal strain (p < 0.0001). In patients, the breathing-induced MORE was also significantly lower than in healthy controls (0.3 ± 3.3 vs 4.5 ± 4.2, p = 0.013). The study protocol was significantly shorter (p < 0.0001) than the current clinical MRI protocol, 49.3 ± 10.7 and 31.4 ± 8.3 minutes, respectively. CONCLUSION: A significantly shorter, contrast-free CMR protocol of 31- compared to the standard 49-minute protocol was able to determine that heart failure patients were characterized by functional, mapping, and strain CMR parameters as well as impaired coronary microvascular function, that could be detected by OS-CMR.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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 teacher head, not a consensus.

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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