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Record W3006846913 · doi:10.1093/jcag/gwz047.144

A145 A SUBMUCOSAL FLUID CUSHION PREVENTS MUSCLE LAYER DAMAGE DURING ARGON PLASMA COAGULATION

2020· article· en· W3006846913 on OpenAlexaff
PJ Belletrutti, Roberta Maselli, Thomas Stäbler, Markus D. Enderle, Alessandro Repici

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCushionArgon plasma coagulationSubmucosaMaterials scienceBiomedical engineeringFundus (uterus)MedicineSurgeryEndoscopy

Abstract

fetched live from OpenAlex

Abstract Background Thermal damage to the muscle layer of the gastrointestinal wall can occur during mucosal application of argon plasma coagulation (APC). This injury may be mitigated by creating a fluid cushion within the submucosal layer that physically separates the mucosa from the muscle layer and suppresses unwanted tissue temperature elevation. This in turn protects the muscle layer from thermal damage. The coagulative threshold of muscle proteins is known to be about 60°C, but there are no published systematic assessments of the minimum injection volume needed nor the ideal injectate to prevent thermal damage to the muscle layer during mucosal APC ablation. Aims Our aims were, firstly, to measure the final temperature inside the fluid cushion after mucosal ablation with APC and then to determine any differences in the final temperature between various injectable solutions. Secondly, we sought to determine the minimum volume of injectate required to protect the muscle layer from thermal damage. Methods All experiments were performed in an ex-vivo porcine gastrointestinal tract model. Five different fluids (normal saline, Glyceol, Gelafundin, Voluven and Eleview) of different volumes (range 0 - 5mL) were injected into the submucosa of the esophagus, stomach (fundus) and rectum to create a fluid cushion. APC was applied to the mucosa for a fixed duration (3s) at different power settings (ranging from 30 - 120W). Immediately after APC treatment, the final temperature was measured by placing a contact thermometer inside the fluid cushion, just on top of the muscle layer. Results There was no significant difference in the temperature measured at the surface of the muscle layer between elevation with normal saline, Glyceol, Gelafundin, Voluven and Eleview at all 3 tissue locations at equal injection volumes and power settings. The experiments showed that the temperature rose for each injectate with heightened power settings but also decreased with increasing volume of injected fluid. The minimum amount of fluid needed to protect the muscle layer from thermal damage was 2mL for the esophagus, stomach and rectum in the case of a power setting between 30 to 90W and 3mL in the case of 90 to 120W. Conclusions Normal saline and four commercially available submucosal injectates possess similar thermoregulatory effects as an insulator of the muscle layer during APC treatment. As opposed to the choice of injectate or anatomic location treated, the volume of fluid injected is the main determinant of the final temperature at the level of the muscularis propria. To reduce the likelihood of thermal damage to deeper layers of the GI tract when APC is applied, a minimum injection volume of 2mL is recommended if <90W of power is utilized. Funding Agencies None

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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 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
Published2020
Admission routes1
Has abstractyes

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