Bibliographic record
Abstract
Uterine leiomyoma is a benign gynecological tumor of the uterine myometrium layer in the female reproductive system, with clinical incidence in approximately 25% of women. In rare instances, it is possible for it to grow into a giant uterine leiomyoma (weighing 11.4 kg or more). Surgery on a giant mass is challenging because the enlargement mass affects the normal anatomical position of the internal genital organs. We report a case of a giant uterine leiomyoma with surgical difficulty. A 45-year-old woman came to the gynecology outpatient department referred from a district hospital with a suspected malignant ovarian cyst. The signs and symptoms were enlargement of the abdomen in the last 15 years, abdominal pain, and menstrual blood clots. An abdominal pelvic computed tomography (CT) scan with contrast revealed a regular cystic mass with multiple solid components and thick septa, probably from the adnexa. The biochemical examination revealed an increase in CA-125 serum (102.6 U/mL) with a risk of malignancy index (RMI) score of 308. Considering the size of the mass, fixed to the abdomen with umbilical hernia and suspicions of uterine or ovarian malignancy, the patient was planned for a laparotomy with collaborating digestive surgeon and urologist. The intraoperative findings were enlargement of the uterus with cystic degeneration of the leiomyoma at the posterior wall of the uterus. Due to the size of the mass, the anatomical position of the internal genital organs was deviated. The ovaries and fallopian tubes were normal, and total abdominal hysterectomy and bilateral salpingo-oophorectomy were performed. The mass measured 57 × 51 cm in size and 26 kg in weight. Histopathological examination revealed a uterine leiomyoma with cystic degeneration.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".