Abstract P5-14-01: Chest wall bolus in post-mastectomy radiotherapy – Is it really necessary?
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».