Definition of the Lateral Bulge Deformity After Primary Cleft Lip Repair Using Real-Time High-Resolution Ultrasound
Bibliographic record
Abstract
The lateral bulge is a common secondary deformity after primary cleft lip repair; however, its underlying anatomy remains undefined. The purpose of this study was to use real-time high-resolution ultrasound to better understand the anatomy underlying the lateral bulge deformity. Twenty-three patients with a lateral bulge were included in addition to 12 patients without clefts to validate ultrasound measurements. Muscle and connective tissue dimensions were recorded at standardized landmarks using ultrasound, both at rest and with movement. The cleft and noncleft sides (right and left in noncleft patients) were compared within groups, and ratios between sides were compared across groups using parametric and nonparametric tests. Repeat measurements were recorded to calculate intrarater reliability. Orbicularis oris thickness was greater on the cleft side in the lateral bulge group at rest, both at the philtral column and alar crease (P < 0.001), and with facial movement at the corresponding landmarks (alar crease: smile P < 0.001 and pucker P = 0.003; philtral column: smile P < 0.001 and pucker P = 0.001). The ratio for levator width was also greater in the lateral bulge group (P < 0.001). No differences were identified between sides at the corresponding landmarks in the noncleft group. Ultrasound enabled real-time high-resolution evaluation of anatomic differences underlying the lateral bulge deformity. It was associated with greater orbicularis oris thickness and levator width on the cleft side. Findings from this study may guide future surgical correction of the lateral lip bulge.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".