Monitoring buried jejunum free flaps with a sentinel: A retrospective study of 20 cases
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: The free jejunum transfer has become a widely used reconstruction option after total laryngopharyngectomy. The aim of this study was to evaluate the effectiveness of using an exteriorized jejunal segment for flap monitoring. STUDY DESIGN: Case series. METHODS: Twenty patients with tumors involving the pharynx, larynx, or cervical esophagus were subjected to total laryngopharyngectomy and neck dissection. The resulting esophageal defect was reconstructed with a free jejunal flap based on a major branch of the superior mesenteric artery and vein. After completion of anastomoses with the recipient vessels, the flap was divided into two segments of common vascular supply. The smaller segment was exteriorized in the cervical region for direct monitoring of serosal color, temperature, peristalsis, and bleeding during the postoperative period. This sentinel was resected once the viability of the flap was judged appropriate. RESULTS: Of the 20 patients who had free jejunum transfers for pharyngoesophageal reconstruction, 14 had an uneventful postoperative course, and six needed re-exploration due to signs of arterial insufficiency in the sentinel segment. On re-exploration, four flaps were found to have arterial thrombosis and two had no abnormality at the anastomotic site. One of the flaps that developed thrombosis was subsequently lost. CONCLUSIONS: Monitoring of buried free jejunal flap with a sentinel is an effective method of assessing flap viability after total laryngopharyngectomy and guides re-exploration in cases of anastomotic complications.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".