Resection of ruptured hepatic teratoma in an adult
Bibliographic record
Abstract
INTRODUCTION: Extragonadal locations of teratomas are uncommonly reported in the literature. Teratomas are neoplasms usually found in the gonadal organs: ovaries and testis. The majority of teratomas are found in the pediatric age group. Furthermore, teratomas originating in the liver are exceedingly rare with only 11 case reports in adult populations. PRESENTATION OF CASE: We present a case of a 65 year-old female who presented to hospital with sudden onset abdominal pain from a centrally located ruptured hepatic teratoma on CT scan. The patient underwent urgent surgery. The diagnosis of cystic mature teratoma was confirmed on histopathology. Patient was discharged on post-operative day 5. At 12 week follow-up, no post-operative complications were identified. DISCUSSION: Hepatic teratomas are a rarely encountered neoplasm, especially in the adult population. Our case report is unique, as it represents the only clinical presentation of mass rupture in an adult liver teratoma. CT scan identified a well circumscribed mass containing adipose tissue, fluid, and calcifications characteristic of teratoma. Complete surgical resection is mainstay treatment. A definitive diagnosis of a mature teratoma is confirmed by histopathological findings. CONCLUSION: Presented is a rare case of ruptured hepatic teratoma in an adult who underwent surgical resection.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".