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Esophageal Protective Devices for Catheter Ablation: Changes in the Relevant Anatomical Structures

2019· article· en· W3175885161 on OpenAlexaff
Akmal Shahzad, Charys M. Martin, Michele Barbeau

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineAtrial fibrillationEsophagusCatheter ablationAblationPulmonary veinLeft Pulmonary VeinRadiologyPericardiumCatheterAblation of atrial fibrillationCardiologyInternal medicine

Abstract

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Background Atrial fibrillation (AF) is the most common cardiac arrhythmia in North America and is a major risk factor for stroke, congestive heart failure, and death. An increasingly popular first line of treatment is a minimally invasive procedure called radiofrequency catheter ablation (RFA) which mainly targets the pulmonary veins of the left atrium (LA). This procedure boasts high success rates, but in rare cases, patients may develop a fatal atrial esophageal fistula (AEF). Esophageal protective devices may mitigate the risk of developing a fistula but their effects on the anatomical structures within the posterior mediastinum are not well understood. The primary objective of our study is to evaluate the changes in the esophagus‐left atrium relationship with the insertion of an esophageal protective device. Methods Using 13 fresh cadaveric torsos we performed computed tomography (CT) scans prior to the insertion of a novel esophageal protective device (pre‐scan) and while the device was inserted in the esophageal lumen (post‐scan). The width of the esophagus, anterior‐posterior dimension, and the distance from the centerline of the esophagus to the left atrial pericardium were measured and compared between pre‐scans (no device) and post‐scans (device inserted). An additional standardizing measurement was taken between the vertebral column and the left atrium (VC‐LA) to evaluate the extent of heart displacement with the insertion of the device. Lastly, the shortest esophagus‐left atrial distance was marked by a point and mapped to previously defined regions of the LA after 3D reconstruction of the esophagus and LA. Measurements were performed using digital calipers in Mimics®. Preliminary Results A paired t‐test between VC‐LA measurements (n = 8) revealed no significant differences between pre‐ and post‐scans indicating that the insertion of the device does not move the heart dramatically. A Wilcoxon signed‐rank test was used to evaluate the differences in the mean esophageal widths between scans (n = 5). Of these 5 specimens, 3 demonstrated significant widening of the esophagus with device insertion (p< .001), 1 demonstrated significant esophageal narrowing (p< .001), and 1 demonstrated no significant differences in esophageal width. Data collection is ongoing. Discussion/Conclusion Preliminary data indicates that the position of the heart is not significantly affected by the insertion of the device. Thus, our esophagus to left atrial measurement will be indicative of changes in the position of the esophagus relative to the stationary heart. Preliminary esophageal width data revealed significant widening in 3 specimens while the device was inserted, which we expect will decrease the anterior‐posterior dimension of the esophagus. Future data on the shortest esophagus‐pericardial relationship will allow us to determine positional changes in the esophagus between pre‐ and post‐scans. In conclusion, data from this novel study will provide an anatomical basis for the design and implementation of an esophageal protective device used in catheter ablation procedures in order to effectively mitigate the risk of developing an AEF. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.321
Teacher spread0.279 · 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
Published2019
Admission routes1
Has abstractyes

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