Hybrid single‐port laparoscopic cisterna chyli ablation for the adjunct treatment of chylothorax disease in dogs
Bibliographic record
Abstract
OBJECTIVE: To describe a hybrid, single-port, minimally invasive cisterna chyli ablation (CCA) technique in clinical cases of canine idiopathic chylothorax and evaluate this technique as a method for mesenteric lymphangiography (ML) in canine cadavers and clinical cases of idiopathic chylothorax. STUDY DESIGN: Cadaveric and retrospective study. ANIMALS: Six canine cadavers and 14 client-owned dogs with naturally occurring idiopathic chylothorax. METHODS: Both cadaveric and clinically affected dogs were placed in sternal recumbency. A wound retractor device (WRD) and a single-port device were placed in the abdominal flank 2-3 cm caudal to the 13th rib. Mesenteric lymphangiography was evaluated by using indocyanine green (ICG) in 6 canine cadavers. Single-port laparoscopic CCA was performed in all clinical cases with idiopathic chylothorax. RESULTS: Successful ML was completed by using ICG in all 6 canine cadavers. A right- or left-sided single-port laparoscopic CCA was successfully performed in 14 dogs with naturally occurring idiopathic chylothorax. Mesenteric lymphangiography was successfully performed through the WRD in 11 of these cases. No intraoperative complications were reported. Three dogs developed severe chyloabdomen postoperatively, with 1 dog requiring multiple abdominocenteses. CONCLUSION: Direct ML and single-port laparoscopic CCA was performed through a WRD in dogs positioned in sternal recumbency. Although minimal operative complications were noted, postoperative chyloabdomen was reported. CLINICAL SIGNIFICANCE: This hybrid single-port laparoscopic technique performed in sternal recumbency allows both a CCA and an intraoperative ML through the same incision. This procedure may be combined with thoracoscopic thoracic duct ligation and pericardectomy for the treatment of idiopathic chylothorax in dogs.
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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 | 0.000 |
| 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 | 0.001 |
| 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".