Orthotopic, but Reversed Implantation of the Liver Allograft in SitusInversus Totalis—A Simple New Approach to a Difficult Problem
Bibliographic record
Abstract
Situs inversus totalis is a rare congenital anomaly in which the heart and abdominal organs are oriented in a mirror image of normal. It provides a unique challenge as there is no established technique for liver transplantation in these patients. Employing two major alterations from our standard technique, a liver was transplanted in the left subphrenic space of a patient with situs inversus totalis. First, the liver was flipped 180 degrees from right to left (facing backward). Second, a reversed cavaplasty (anterior, not posterior, donor suprahepatic caval incision) was performed. Otherwise, it was standard, with end-to-end anastomoses of the portal vein, hepatic artery and bile duct. Three years after the entirely uneventful transplant, the recipient continues to enjoy the benefits of a normally functioning liver. The described technique prevented torsion, kinking and tension on the anastomosed structures by allowing the liver to sit naturally in an anatomical position in the left hepatic fossa. As it required no special measurements or maneuvers, the technique was easy to execute and required no donor liver size restrictions. This novel technique, with a reversed cavaplasty and a 180 degrees right-to-left flip of the liver into a left-sided hepatic fossa, may be ideal for situs inversus totalis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".