Clinical Outcomes and Institutional Experience of Ultrahypofractionated Radiation Therapy in Patients With Breast Cancer
Bibliographic record
Abstract
Purpose: Prompted by COVID-19 and publication of the FAST-Forward study, our institution rapidly implemented ultrahypofractionated radiation therapy (U-HFRT) for patients with early-stage breast cancer. Our objective was to evaluate our early experience and toxicity outcomes for U-HFRT. Methods and Materials: Patients with consecutive stage 0-II breast cancer treated with adjuvant whole breast radiation therapy (RT) were evaluated. Patient demographics and treatment characteristics were extracted and categorized into 2 cohorts: U-HFRT, 26 Gy/5 fractions (F) and M (moderate)-HFRT, 40.05 Gy/15F. Physician-assessed skin toxicity was evaluated using the Radiation Therapy Oncology Group radiation morbidity scale at baseline/during RT, 1 to 90 days post-RT and >90 days post-RT. Descriptive statistics summarized patient demographics and treatment characteristics and were stratified based on dose fractionation. A multivariable logistic model evaluated associations between toxicity and fractionation. Results: < .014) after adjusting for boost, age, and chemotherapy. Rates of skin toxicity >90 days post-RT were low overall. Conclusions: This study reports real-world clinical outcomes of patients with stage 0-II breast cancer treated with U-HFRT. We observed low rates of acute skin toxicity compared to M-HFRT, confirming its acceptability as a standard regimen for select patients. Longer term follow-up would be necessary to confirm clinical outcomes in terms of both local control and late normal tissue toxicity.
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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".