Relationship between steroid concentrations in ovarian follicular fluid and oocyte morphology in patients undergoing intracytoplasmic sperm injection (ICSI) treatment
Bibliographic record
Abstract
Abstract The objective of this study was to investigate the relationship between oocyte morphology and follicular fluid steroid concentrations in patients being treated with intracytoplasmic sperm injection. A total of 82 IVF cycles were evaluated in patients aged 24-40 years. Oocytes at metaphase II were graded into four groups according to the status of the first polar body and the size of the perivitelline space. The proportion of oocytes at the germinal vesicle and germinal vesicle breakdown stages, and the proportion of degenerated oocytes and oocytes with a large polar body were compared with different concentrations of oestradiol, progesterone and testosterone in the follicular fluid. The association between these oocyte characteristics and the ratio of oestradiol:testosterone and oestradiol:progesterone was also analysed. The results showed that oocyte morphology, as assessed by the status of the first polar body and the size of the perivitelline space, is associated with the ratio of oestradiol:testosterone and oestradiol:progesterone but not with the absolute concentrations of oestradiol, progesterone and testosterone in the follicular fluid. A ratio of oestradiol:testosterone > 200 is the best indicator for a small proportion of grade 1 and 2 oocytes (poor quality), a large proportion of grade 3 and 4 oocytes (good quality), and a small proportion of oocytes with cytoplasmic inclusions. These results will be of clinical use in evaluating oocyte quality.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".