Abstract P5-14-01: Chest wall bolus in post-mastectomy radiotherapy – Is it really necessary?
Bibliographic record
Abstract
Abstract Purpose: The utilization of tissue-equivalent chest wall bolus in post-mastectomy radiotherapy (PMRT) varies significantly between institutions. There is a paucity of clinical evidence to support the need for bolus in this setting. This study reports on clinical outcomes for PMRT patients treated without the routine use of bolus. Methods and Materials: We included patients who received adjuvant chest wall +/- loco-regional nodal PMRT at a single institution for invasive breast cancer from 2004-2009. Patients received a median PMRT dose of 50Gy, typically delivered over 25 treatments and using an Intensity Modulated Radiotherapy technique. Patient, tumor and outcome data were collected from an established prospective database, with additional radiotherapy and acute toxicity details supplemented retrospectively. The use of chest wall bolus was decided by the treating radiation oncologist, based on features such as clinical or pathological dermal involvement. The bolus used was 5mm thickness and typically administered on alternate days of radiotherapy treatment. Outcomes measured included RTOG acute skin toxicity, loco-regional relapse, distant metastatic relapse, and overall survival (OS). Groups were compared using Gray's test, while hazard ratios were calculated using the Fine and Gray competing risk regression model. Results: A total of 314 patients were suitable for analysis: 52 received bolus and 262 did not. The median follow up was 4.2 years, with a mean age of 52.7 years. Patients who received bolus had a higher T stage than those without bolus, with T1 tumors 16% vs 26%, T2 tumors 24% vs 40%, T3 tumors 45% vs 27% and T4 tumors 10% vs 1% (p = 0.002). For the whole cohort, 35% had N1 disease and 38% had N2/N3 disease, with no significant differences in N stage between the two groups. There was a higher incidence of dermal invasion for the bolus group compared to non-bolus, 27% vs. 7% (p<0.001), as well as lympho-vascular invasion, 73% vs. 46% (p<0.001) and positive margins, 14% vs. 3% (p = 0.003). There were no significant differences between the 2 groups in terms of ER positivity (58 vs. 76% p = 0.07), HER 2 positivity (17 vs. 9% p = 0.09) or grade 3 disease (75 vs. 67%, p = 0.77). Four-year LRR was 14% in the bolus group and 3% in the non-bolus group. On uni-variate analysis, this resulted in a significant difference in LRR (HR 3.1; CI 1.2-8.3; p = 0.02). However, when adjusting for margin status (HR 5.0; CI 1.5-16.5; p = 0.008), this result was no longer significant (HR = 2.5; CI 0.8-7.5, p = 0.12). Four-year OS was 77% vs. 86% for bolus vs. non-bolus group (p = 0.07). The pattern of failure in this cohort was predominantly distant, with 50/314 patients (16%) developing distant metastases as the first site of failure, 17 patients (5%) in the chest wall and 4 (1%) in regional nodes. There was a significant difference in acute skin toxicity between the bolus vs. non-bolus groups (p = 0.01) with Grade 2 toxicity 37% vs. 21%, grade 3 toxicity 0 vs. 1% and grade 4 toxicity 2% vs. 0%. Conclusions: In this patient population, the LRR rates without the use of bolus were low and consistent with published reports. These results suggest that in the setting of PMRT, patients without higher risk features such as positive margins or dermal invasion may not require the use of bolus. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P5-14-01.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".