Quantification of ovarian power Doppler signal with three-dimensional ultrasonography to predict response during in vitro fertilization.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate whether power Doppler predicts ovarian response to gonadotrophin stimulation during in vitro fertilization (IVF). METHODS: Forty-five women were divided into low-reserve (n = 12) and normal-reserve (n = 33) ovarian groups, according to antral follicle count. Transvaginal three-dimensional power Doppler ultrasonographic examinations were performed after pituitary downregulation and after gonadotrophin stimulation. The antral follicle count, ovarian volume, vascularization index, flow index, vascularization flow index, and mean gray value were measured and related to the number of oocytes retrieved and the pregnancy rate. RESULTS: The number of oocytes retrieved correlated with the antral follicle count (R =.458, P =.004) and ovarian volume (R =.388, P <.016) but not with vascularization index, flow index, vascularization flow index, or mean gray value after pituitary suppression. There was an increase in vascularization index (P <.017), flow index (P <.001), and vascularization flow index (P <.007) during gonadotrophin stimulation in the normal-ovary group but not in the low-ovarian-reserve group. CONCLUSION: According to our results, quantification of power Doppler signal in the ovaries after pituitary suppression does not provide any additional information to predict the subsequent response to gonadotrophin stimulation during IVF. The increase in ovarian power Doppler signal during gonadotrophin stimulation is related to the antral follicle count observed after pituitary suppression.
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.
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 | 0.001 |
| 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 it