Pre-operative partial breast irradiation: revolutionizing radiation treatment for women with early stage breast cancer
Bibliographic record
Abstract
Partial breast irradiation (PBI) has been increasingly accepted as a suitable component of breast conservation in the management of patients with early stage breast cancer, however the majority of existing studies have focused on the use of adjuvant or intra-operative techniques. Several early stage studies have more recently shown that PBI can be safely used in the pre-operative setting. Early data show similar local control without evidence of increased toxicity or worsening cosmesis, as compared to postoperative PBI or standard whole breast irradiation. While long term data are still maturing, pre-operative accelerated PBI (PAPBI) offers a number of possible clinical advantages including reducing the treatment field and increasing the number of patients eligible for PBI, identifying biomarkers of response to radiation, and improving the rates of breast conservation and treatment compliance. This review discusses key concepts and controversies surrounding PBI as it has increasingly been adopted in the US, Canada, and Europe, and introduces the concepts and early studies of PAPBI. In addition, we summarize ongoing clinical trials investigating PAPBI, review clinical benefits and challenges associated with PAPBI versus postoperative PBI, and discuss ongoing limitations as well as next generation technologies important to the implementation of PAPBI in the management of patients with early-stage localized breast cancer.
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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) | 0.000 | 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".