Laparoscopic Intragastric Resection
Bibliographic record
Abstract
OBJECTIVE: To present the technique for and early results of laparoscopic intragastric resection (LIGR). BACKGROUND: Treatment of confirmed or suspected submucosal gastric malignancies relies on clear margin resection, for which minimally invasive surgery is widely accepted. However, resection in some localization remains challenging. METHODS: We present the steps of LIGR for gastric submucosal tumors (GSMTs). We report the results of LIGR in consecutive patients operated at 2 institutions, including intraoperative, pathologic, 30-day major morbidity and mortality characteristics. RESULTS: After laparoscopic access to the abdominal cavity, cuffed gastric ports are placed to approximate the anterior gastric wall to the abdominal wall. A pneumogastrum is created. The tumor is resected in the submucosal plane and the deficit closed with intragastric suturing. Specimen extraction is performed perorally or through a gastrotomy site. In 8 proximal intraluminal GSMTs with median size of 3.1 cm (range: 1.8-6.0 cm), median operative time was 167.5 minutes (range: 120-300 mins). There was no major morbidity and no mortality. All resections were R0. CONCLUSIONS: We illustrate the technique of a novel, feasible, and safe minimally invasive approach to GSMTs. LIGR is an alternative to resect challenging GSMTs by limiting surgical invasiveness and preserving gastrointestinal function.
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 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 | 0.000 | 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) | 0.000 | 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".