Abstract 4648: Mechanism of Tissue Cooling With Cryoenergy Delivery to Pulmonary Veins: Tissue Temperature Distribution and Chonic Esophageal Effects
Bibliographic record
Abstract
Background: Although pulmonary vein (PV) isolation has been used to treat AF, complications create important limitations. New energy sources, including cryothermal, have been developed to minimize these complications. The purpose of this study was to evaluate the effect of PV cryoablation on esophageal (ESO) temperatures acutely and correlate them with chronic effects on the esophageal wall. Methods: A 23 mm cryoballoon was placed in the LA of 10 dogs through a 12 Fr deflectable sheath. PV and ESO temperatures (TEMP) were recorded using 7–9 thermocouples (TC) outside the PVs and on the external and internal ESO surfaces during 2 cryoablations of 4 min duration. Results : Cryoablation of 15 PV (10 RIPV and 5 LIPV) during 1.7±0.6 ablations yielded a total of 168 TC time-TEMP profiles (6.4±2.4/PV). Minimum tissue TEMP was inversely dependent on the distance of the TC from the balloon surface (Table 1 ). All PVs were isolated acutely and 14/15 (93%) chronically. Minimum TEMP achieved at the PV surface and external ESO were similar (−32±8 and −37±9 at targets within 2.5 mm from the balloon respectively [P=NS]). A TEMP decrease at the internal ESO was seen during 15 of 25 (60%) ablations, but was significantly less pronounced than the external TEMP (17.9°C±13.3 and 6.1°C±24.8 [p<0.05]) resulting in a minimum recorded internal TEMP of −6.2°C. The ESO histological examination in 5 dogs showed very limited external lesions in these dogs (depth= 2.2±1.1, width3 18.6±7.4 and length= 12±5.7 mm), but no transmural or internal ulceration, fibrosis or scarring seen. Conclusion: Although PV cryoablation decreases external ESO temperature and produces minor lesions, significant chronic disruptive tissue damage was not seen. Esophageal injury is an unlikely, but potential complication of cryoablation, with internal temperature proving unhelpful in predict negative outcome.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".