Fiberoptic ductoscopy findings in women with and without spontaneous nipple discharge
Bibliographic record
Abstract
BACKGROUND: Fiberoptic ductoscopy (FD), which allows direct visualization of the breast ductal lumen, is performed in women with and without spontaneous nipple discharge (SND). Previous reports suggested that cytologic evaluation of SND may be falsely interpreted as containing malignancy. The purpose of the current study, which was performed prospectively, was to determine whether ductoscopic findings were different in women with versus without SND, and to assess the implications of the differences in SND versus non-SND samples regarding the role of FD in assessing whether a woman has breast carcinoma. METHODS: Data were collected on the distance traveled by the ductoscope, visual observations, pathology, cytology, epithelial and foam cell quantity, and image analysis for ploidy, hypertetraploidy, and S-phase fraction. RESULTS: Of 100 FD specimens, 60 were from breasts without SND and 40 were from breasts with SND. Intraductal visual observations (P < or = 0.0002), pathologic findings in the resected specimen (P < or = 0.001), and quantity of epithelial cells (P=0.03) were influenced by the presence or absence of SND. Although one specimen from a benign breast was interpreted as cytologically malignant, every breast with both malignant cytology and aneuploidy contained cancer cells. A model incorporating cytology and SND was 92% sensitive and 60% specific in predicting which women had breast carcinoma. CONCLUSIONS: There were pronounced differences in FD samples from women with and without SND. FD biologic parameters can be chosen to optimize breast carcinoma predictive sensitivity and specificity. SND cytology can present a diagnostic problem, suggesting the need for histologic confirmation before the initiation of therapy.
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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) | 0.001 | 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 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".