Ultrasonic emulsification to facilitate mitral valve reconstruction in mitral annular calcification
Bibliographic record
Abstract
Background: Mitral annular calcification (MAC) increases the complexity and risk of mitral valve surgery, often limiting repair feasibility. This study evaluates the early outcomes of ultrasonic emulsification and aspiration using a novel device to facilitate mitral valve repair. Methods: We conducted a prospective, single-centre, single-surgeon series of 27 consecutive patients with moderate-to-severe MAC and degenerative mitral regurgitation (MR) undergoing Sonopet-assisted decalcification between June 2023 and July 2025. Procedures were performed via median sternotomy or endoscopic mini-thoracotomy. Ultrasonic aspiration was used to remove and sculpt MAC, enabling annular remodelling and secure repair. The primary outcome was repair success and residual regurgitation; secondary outcomes included mortality and perioperative complications. Results: Mitral repair was successfully performed in 26 patients (96.3%), with one conversion to replacement. There were no in-hospital deaths, strokes, atrioventricular (AV) groove disruptions, or reoperations. At discharge, 96.3% had none or mild residual MR; one patient (3.7%) had moderate MR. Mean coaptation length was 10.3±3.2 mm. Postoperative complications included new-onset atrial fibrillation in five patients (18.5%) and permanent pacemaker implantation in two (7.4%). Sternotomy approach was used in 63% and endoscopic mini-thoracotomy in 37%. Mean cardiopulmonary bypass (CPB) and cross-clamp times were 159.6±46.8 and 116.9±46.5 min, respectively. Most mitral repairs addressed isolated posterior leaflet prolapse (66.7%) or bileaflet prolapse (22.2%). Primary repair strategies included leaflet resection (51.9%), isolated neochords (25.9%), or resection with neochords (22.2%). MAC decalcification was primarily performed in the posterior annulus. Conclusions: Ultrasonic emulsification is a safe, effective adjunct for mitral valve repair in moderate-to-severe MAC, enabling precise decalcification and high repair rates with minimal complications. This approach may expand repair candidacy and merits further comparative studies with long-term follow-up.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| 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".