Transthoracic Extracorporeal Gastric Conduit Preparation for Minimally Invasive Ivor-Lewis Esophagectomy
Bibliographic record
Abstract
OBJECTIVE: During totally minimally invasive esophagectomy (MIE), the gastric conduit is typically constructed via laparoscopy. Trauma from laparoscopic instruments, inability to palpate the gastroepiploic arcade, and challenges in optimal positioning of the stomach for intra-abdominal stapling have led to the widespread use of laparotomy as part of hybrid MIE procedures. Our objective was to evaluate the safety of transthoracic extracorporeal gastric conduit preparation. We hypothesize that this alternative technique is equivalent in safety to the laparoscopic approach. METHODS: This is a retrospective comparison of laparoscopic and transthoracic extracorporeal gastric conduit preparation with regard to anastomotic and respiratory outcomes. RESULTS: During a 3-year period, 30 patients underwent MIE with a right intrathoracic anastomosis (extracorporeal conduit, 15; laparoscopic conduit, 15). Mean age (58.6 vs 67 years, P = 0.59), tumor location (gastroesophageal junction vs middle and lower esophageal, P = 0.27), and histology (adenocarcinoma vs other 26.7%, P = 0.68) were similar between groups. Anastomotic technique and operating surgeon were the same for all patients. Patients in the laparoscopic gastric conduit group were more likely to have undergone induction chemoradiotherapy (40% vs 80%, P = 0.030). There was no significant difference between groups with respect to anastomotic complications, including anastomotic leak and anastomotic stricture (20% vs 13.3%, P = 0.70). Transthoracic gastric conduit preparation was not associated with increased respiratory complications (8% vs 12%, P = 0.09). CONCLUSIONS: Transthoracic gastric conduit preparation is a simple, minimally invasive alternative laparotomy for gastric conduit preparation during MIE. No additional incision is required. The technique may help surgeons overcome shortcomings of the laparoscopic approach without impacting perioperative risk.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".