P2353Advantage and accuracy of a new jailed pressure wire technique using an optical fiber for coronary bifurcation lesions after post dilatation of stent by high pressure
Bibliographic record
Abstract
Background: To decide whether to treat jailed side branch (SB) lesions after main vessel stenting in coronary bifurcation lesions is occasionally difficult. Fractional flow reserve (FFR) in the jailed SB after stenting is important to decide additional treatment. However, re-crossing a pressure wire into a jailed SB was sometimes technically difficult and accuracy of the value of FFR was problem. Purpose: A new jailed pressure wire technique using a new optical fiber may be efficacy, accurate and safety. The purpose of this study is to prove advantage and accuracy of this jailed pressure wire technique after post dilatation of stent at high pressure Methods: We conducted a new jailed pressure wire technique using an optical fiber (OptoWire® [Opsens, Quebec]). A pressure wire was advanced in a SB and a conventional wire in the main vessel (MV). Drug eluting stent was deployed in the MV and an additional dilatation was performed in the MV with non-compliant balloon at high pressure while the pressure wire was jailed under the implanted stent. Post value of FFR in the SB was measured under the jailed pressure wire. If the FFR was >0.75 in the SB, no further SB intervention was necessary. The jailed pressure wire was pulled back carefully to the distal tip of the guiding catheter to assess drift. If the FFR was ≤0.75 in the SB, a kissing balloon technique (KBT) is performed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".