Leiomyomatosis Peritonealis Disseminata with Features of Carcinomatosis on Laparoscopy : A case report (
Bibliographic record
Abstract
Leiomyomatosis peritonealis disseminata (LPD), also known as diffuse peritoneal leiomyomatosis, is a rare disease characterised by subperitoneal proliferation of benign nodules mainly composed of benign smooth muscle cells, macroscopically mimicking peritoneal carcinomatosis. We report a 43 year-old woman who presented with menorrhagia, pelvic pressure and pain. Ultrasound of the pelvis showed uterine fibroids and an ovarian cyst. She was scheduled to have a laparoscopic hysterectomy and left salpingo-oophorectomy for symptomatic relief. A picture of carcinomatosis was seen on laparoscopy so multiple biopsies were taken and the patient was referred to the gynaecological oncology team. Definitive surgery was performed and final pathology was consistent with LPD with no evidence of malignancy. No hormone replacement therapy was offered after surgery. Macroscopically, LPD has features of malignancy; it usually pursues a benign course. To review current management of LPD and the risk of malignant transformation, we conducted a search in Medline, EMBASE, and the Cochrane Database of systematic reviews using the keywords: leiomyomatosis peritonealis disseminata, management and malignant transformation. LPD is a diagnostic challenge. Although rare, malignant transformation can occur since hormones play an important role in the pathogenesis of LPD, following surgery, patients should be followed carefully if they are on hormone replacement as these tumours could re-grow and cause symptoms or transform to malignancy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".