Location and Extent of Positive Resection Margins and Ductal Carcinoma in Situ in Lumpectomy Specimens of Ductal Breast Carcinoma Examined with a Microscopic Three-Dimensional View
Bibliographic record
Abstract
The location of positive margins in lumpectomy specimens for ductal carcinoma could be predicted due to the common pattern of the geographic relationship between the intraductal and invasive carcinomas. To test this hypothesis, 62 lumpectomy specimens for ductal carcinoma of the breast were submitted for this study. The specimens were microscopically examined by serially sectioning them into giant sections in a plane parallel to the chest wall (frontal plane). The margins were identified as proximal (closest to the nipple), distal (opposite to proximal), and peripheral (nonproximal or distal). We found that the location of positive or close margins was proximal in 6 cases, peripheral in 13 cases, and none were found to be distal. Ductal carcinoma in situ (DCIS) was found to be located in the area adjacent to the invasive carcinoma. The invasive carcinoma was located at the periphery of the intraductal carcinoma. All six specimens with invasive carcinoma without DCIS had free margins. Nine of 16 specimens (56%) with extensive intraductal carcinoma (EIC) component and 7 of 40 (18%) with DCIS but negative EIC contained positive or close margins involved by DCIS. One case with multifocal invasive carcinoma measuring 3.5 cm in diameter and with DCIS but EIC negative had margins involved by both DCIS and invasive carcinoma. In conclusion, in ductal carcinoma, invasive carcinoma arose at the peripheral areas of the DCIS. DCIS tends to spread toward the nipple and the peripheral margins of the resected specimens. Incomplete excision of the ductal carcinoma and the wide positive margins are most likely caused by the failure to estimate the extent and location of DCIS.
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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 | 0.000 | 0.001 |
| 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".