MRI volumetric analysis of fibroglandular tissue to assess risk of the spared nipple in <i>BRCA 1/2</i> patients who are considering prophylactic nipple-sparing mastectomy.
Bibliographic record
Abstract
1507 Background: Prophylactic nipple sparing mastectomy (NSM) in BRCA 1/2 mutation carriers is an option for risk reduction but is controversial over concern that residual fibroglandular tissue (FGT) with malignant potential remains in the spared nipple. Since the volume of FGT in the nipple has not been formally evaluated, the objective of this study is to measure the residual volume of FGT in the spared nipple at a standard retroareolar margin (5mm) and identify sources of variability, including a greater margin and patient factors. Methods: A segmentation protocol was applied to breast MRIs from 105 consecutive BRCA 1/2patients. The MRI segmentation quantified volumes for total breast and nipple FGT. The nipple FGT volume was determined by setting the retroareolar margin (depth on MRI). The proportion of FGT in the nipple with 5mm retroareolar margin relative to the breast was calculated as the primary outcome and compared to 10mm margins. Associations between the proportion of FGT in the nipple (5mm) and patient characteristics were examined using uni- and multivariable analyses. Effect size was measured where appropriate. Results: At 5mm and 10mm retroareolar thickness, residual FGT comprised 0.24% (0.02-0.9%) and 0.42% (0.0.2-01.2%), respectively, of the total breast FGT (p < 0.001, Cohen d = 0.03). Smaller breast volume, lower BMI and parity (p < 0.001, p < 0.009, p < 0.009 respectively) were predictive of greater proportion of residual FGT on univariate analysis, while breast volume and parity were predictive with multivariate (R2 = 0.28, F = 16.5, p < 0.0005). Conclusions: The proportion of FGT remaining in the spared nipple with a 5mm margin is extremely small, suggesting very little added risk over a skin sparing mastectomy. This proportion may be influenced by breast volume and childbearing. Doubling the retroareolar margin statistically increases the proportion, yet this likely does not translate into a clinically meaningful increase and may support a slightly thicker retroareolar margin. Overall, our findings support safety of the current trend toward increased rates of prophylactic NSM performed in the BRCA 1/2 patient population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".