Smart solution for hard times: successful lithoplasty of an undilatable lesion
Bibliographic record
Abstract
After unsuccessful percutaneous coronary interventions (PCI) with high-pressure balloons (40 atm) and rotational atherectomy (1.5 mm burr), a 70-year-old woman was re-admitted for lithoplasty-assisted PCI.Lithoplasty balloons (Shockwave Medical, Freemont, California) were developed based on the principles of kidney stone treatment.With an array of emitters they generate pulsatile, circumferential sonic pressure waves to selectively disrupt intimal and medial calcifications, usually resulting in calcium tears and focal dissections [1,2].In this patient with Canadian Cardiovascular Society Class II angina, the 6 Fr compatible device effectively modified the extremely resistant lesion (Fig. 1a).Optical coherence tomography (OCT) showed typical calcium tears and a large dissection (Fig. 1b;234).To cover the lesion, a drug-eluting stent (4.5 mm) was implanted and post-dilated with a non-compliant balloon.Proper stent expansion and apposition were confirmed with OCT.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".