Effect of margins on ipsilateral breast tumor recurrence after breast conservation therapy for lymph node‐negative breast carcinoma
Bibliographic record
Abstract
BACKGROUND: Breast conservative surgery (CS) with radiotherapy (RT) is the most commonly used treatment for early-stage breast carcinoma. However, there is controversy regarding the importance of the pathologic margin status on the risk of ipsilateral breast tumor recurrence (IBTR). The current study evaluated the effect of the pathologic margin status on IBTR rates in a cohort of women with lymph node-negative breast carcinoma treated with CS and RT. METHODS: Between August 1980 and December 1994, 452 women with pathologically lymph node-negative breast carcinoma were treated with CS and RT at Westmead Hospital (Westmead, Australia). Central pathology review was performed for all women. The final margins were negative for 352 women (77.9%), positive (invasive and/or in situ) for 42 women (9.3%), and indeterminate for 58 women (12.8%). Information regarding an extensive intraductal component (EIC), lymphovascular invasion, pathologic tumor size, histologic grade, and nuclear grade was available for most women. After macroscopic total excision of the tumor, all women received whole-breast irradiation (usually 45-50.4 grays [Gy]) and the majority of women also received a local tumor bed boost (range, 8-30 Gy). RESULTS: After a median follow-up of 80 months, 34 women (7.5%) developed an IBTR. The crude 5-year rates of IBTR for women with negative margins, positive margins, and indeterminate margins were 3.1%, 11.9%, and 6.9%, respectively. For women with negative margins, the 5-year and 10-year actuarial rates of freedom from IBTR were 96% and 92%, respectively, compared with 88% and 75%, respectively, for women with positive margins (P = 0.003). Univariate analysis demonstrated that the only factors associated with a significantly higher risk of IBTR were age at diagnosis (P < 0.050) and margin status (P = 0.005). Multivariate analysis showed that both age and margin status were independent predictors of IBTR. None of 24 patients with an EIC and negative margins were found to have developed an IBTR. CONCLUSIONS: The results of the current study were comparable to other published reports and supported the association of higher IBTR rates with positive or indeterminate margins compared with negative, pathologic margins. Furthermore, young age (age < 35 years at diagnosis) was associated with the highest risk of IBTR regardless of margin status.
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 | 0.000 | 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) | 0.000 | 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".