Laparoscopic Management of Splenic Cysts: Marsupialization, Cavity Lining With Surgicel and Omentopexy to Prevent Recurrence
Bibliographic record
Abstract
INTRODUCTION: Open total splenectomy, once the treatment of choice for splenic cysts, has largely been replaced by laparoscopic, splenic preserving procedures. These techniques have resulted in reduced hospitalization times and rates of overwhelming postsplenectomy infection. We report 2 cases of laparoscopic management of large, symptomatic splenic cysts. METHODS: Two patients presented with symptomatic splenic cysts. The first was a simple cyst by history, the second a posttraumatic cyst. Both patients were treated by laparoscopic cyst marsupialization followed by lining the cavity with Surgicel (Ethicon, Somerville, NJ) and performance of an omentopexy. RESULTS: Both procedures were performed without complication. At 25 months, neither patient showed any evidence of symptomatic or radiologic recurrence. Pathology confirmed the preoperative diagnoses. CONCLUSIONS: Laparoscopic marsupialization of splenic cysts in combination with lining the cyst cavity with Surgicel and omentopexy is a safe, feasible, and efficacious method of management with excellent results at 25-month follow-up.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".