Bibliographic record
Abstract
A54 Background: The sensitivity of mammography for cancer detection is less in women aged 40-49 compared to older women, due in part to more extensive mammographic density in younger women. To improve the quality of screening it has been suggested that premenopausal women to be examined in the follicular phase of the menstrual cycle, when density is thought to be less extensive than in the luteal phase. We have examined the extent to which mammographic density and dense area vary according to the menstrual cycle. > Methods: Premenopausal women aged 40-49 with regular menstrual cycles, without a history of breast disease, and who had mammograms at Sunnybrook/Women’s College or Mount Sinai Hospitals participated in the study. We measured percent breast density, breast area, and dense area using the Cumulus software. Dates of the first day of the last and next menstrual cycles (NMC) were determined by follow-up phone calls. To determine the time in the cycle when the mammogram was taken, the interval between mammogram date and the date of the start of NMC was calculated, and divided into 4 intervals: interval 1 (>21 days before NMC), interval 2 (15-21 days before NMC), interval 3 (8-14 days before NMC) and Interval-4 (≤7 days before NMC). > Results: The total number of subjects included in the analysis was 419: 77 in interval 1, 109 in interval 2, 105 in interval 3 and 128 in interval 4. The least square means of dense area after adjusting for age, BMI, breast thickness and mammography machine characteristics ( KV, MAS and Pressure), were 51.4 cm 2 , 49.6 cm 2 , 50.7 cm 2 and 55.5 cm 2 during intervals 1-4 respectively, however, the results were not statistically significant. The adjusted least square means of percent density were 41.7%, 39.5%, 40.5% and 41.9% during intervals 1-4 respectively; the results were not statistically significant. There were no significant variations between different intervals with regards to mammographic density after adjusting for age, BMI, breast thickness and mammography machine characteristics, such as KV, MAS and Pressure. > Conclusion: There was no difference in mammographic density in relation to the time of mammography after adjusting for machine parameters. Data do not support the suggestion that premenopausal women would benefit from having mammographic examination in the follicular phase of menstrual cycle.
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 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 | 0.002 | 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".