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Record W2719790239 · doi:10.1093/ehjci/eux152.003

1155Assessment of transmurality during lesion formation with electrograms

2017· article· en· W2719790239 on OpenAlexaff
Shouvik Haldar, Karl Magtibay, Stéphane Massé, M. Kusha, MA. Azam, John Asta, PFH Lai, DC. Deno, K. Nanthakumar

Bibliographic record

VenueEP Europace · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlanarian Biology and Electrostimulation
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineLesionInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: Real time lesion formation by means of the EGM analysis is needed after recent descriptions of the limitations of contact force catheters. A bipolar EGM amplitude (B-EGM) reduction of >75%, appearance of a QS pattern and disappearance of S-wave on the Unipolar-EGM (U-EGM) have been associated with transmurality of the lesion. These criteria are dependent on catheter orientation and the ability of the S waves to define local depolarization. A real-time assessment of lesion formation by means of EGMs is studied as a method for assessment of transmurality. Objectives: Describe real-time changes in EGMs to assess transmurality of the lesion. Methods: Eight Langendorff perfused rabbit (12) and pig (9) hearts were treated with 27 RF lesions at different powers and locations in the atrium and ventricle with assessment of lesion formation by EGM and confirmed with post-hoc histology. Recording of a EGM (perpendicular to the surface with interelectrode spacing of 2mm) in contact with the ablated tissue was performed. Assessment of Unipolar-EGM (filtered at 0.5 – 240 Hz) and Bipolar-EGM (filtered at 30Hz - 240Hz) was done qualitatively for pattern-identification (presence or absence of S wave in the unipolar recordings and QS pattern or non-QS pattern on filtered bipolar recordings) and automatically for peak-to-peak voltage amplitude measurement. Results: Transmurality was achieved in 15 of 27 lesions (55.6%). After 1W lesions delivered for 10 seconds (non-transmural) there was disappearance of the S wave in the U-EGM in 47% of the cases (7 of 15 lesions). Amongst all lesions at all powers, S wave in the U-EGM disappeared in 83% of non-transmural lesions indicating a poor specificity for assessment of transmurality. With regards to the B-EGM peak to peak voltage amplitude, after 1W lesions for 10 seconds (non-transmural) there was no change in the average voltage amplitude (-1%±57%, p=0.6) and B-EGM pattern was non-QS for all lesions. Amongst all lesions, peak to peak voltage amplitude was reduced by 80±21% in transmural lesions vs 60±17% in non-transmural lesions (p<0.05). A value of 78% reduction in peak to peak B-EGM voltage was linked to the highest AUC (0.86) when tracing a ROC-curve to assess for lesion transmurality (sensitivity of 73%, specificity of 83%). The filtered B-EGM was never a QS in transmural lesions. Conclusions: Assessment of lesion formation with traditional EGM criteria has poor predictive value for transmurality. A cutoff of >78% reduction in voltage peak to peak amplitude of a perpendicular B-EGM from baseline may be a useful tool to predict transmurality. In vivo, where catheter orientation is not reliable, an orientation-independent EGM recording may provide a better way to assess transmurality.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2017
Admission routes1
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