REVIEW ARTICLE: Three‐Dimensional Culture of Endometrial Cells: An <i>In Vitro</i> Model of Endometriosis
Bibliographic record
Abstract
Endometriosis is the presence of endometrial tissue outside of the uterine cavity and is the most common gynecologic disorder in women of reproductive age. Although the quality of life for women with endometriosis is severely compromised, very little is known about the pathophysiology of endometriosis and current therapeutic strategies provide temporary symptomatic relief but not a cure. Endometriosis remains poorly understood primarily because of an inability to identify patients with early stage disease. Animal models have been developed to study early endometriosis but all have some problems that limit their usefulness in determination of the pathophysiology of endometriosis as it occurs in the human. We have preliminary evidence that in the presence of a three-dimensional fibrin matrix, human endometrial glands, stroma, and neovascularization can develop in vitro, mimicking the earliest stages of endometriosis. We believe this model system reflects the situation in the peritoneal cavity of women following retrograde menstruation when endometrial fragments, fibrin, leucocytes and cytokines are trapped in pockets in the dependent parts of the pelvis, allowing endometrial cell proliferation, invasion and angiogenesis to occur. In the present review article, we will further discuss this in vitro model of early endometriosis and discuss possible anti-angiogenic drugs that are already commercially available in an attempt to find an effective and specific treatment for endometriosis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".