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Clinical & experimental metastasis · 2025

Postoperative stereotactic radiotherapy for brain metastases: results from a single-center retrospective analysis.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Lam E K M, Leung D K C, Lee V H F, Taw B B T, Li L F, Ho G, Choi H C W, Cheung B M F, Cheung J S C, Ng Y P, Luk M Y, Yuen K K

Аннотация

To evaluate outcomes and prognostic factors in patients with resected brain metastases treated with postoperative SRS/SRT, and to develop a novel overall survival (OS) prognostic model. We retrospectively analyzed 70 patients (72 lesions) treated with postoperative SRS/SRT from July 2017 to May 2024. Outcomes included in-field and out-field intracranial progression-free survival (PFS), OS, and incidence of radionecrosis. Prognostic factors were identified using Cox regression. Recursive Partitioning Analysis (RPA) was used to construct an OS model. Median follow-up was 15.1 months. In-field PFS was 96.2% and 90.2%; Out-field PFS was 69.3% and 64.4% at 1 and 2 years respectively. Prior cranial radiotherapy was associated with worse out-field PFS. OS rates were 67.5% at 1 year, 46.7% at 2 years. ECOG performance status, time from surgery to radiotherapy of ≤ 56 days and biologically effective dose using α/ß of 10 (BED10) ≥ 51 Gy were significant OS predictors. Radionecrosis occurred in 7 patients (10%) with median onset at 25.0 months. The novel RPA model stratified patients into 3 groups: RPA-I (ECOG < 2 & BED10 ≥ 51 Gy; median OS 43.4 months, 95% CI 22.3 months-Not reached), RPA-II (ECOG < 2 & BED10 < 51 Gy; median OS 11.9 months, 95% CI 3 months-19.2 months) and RPA-III (ECOG ≥ 2 regardless of BED10 delivered; median OS 4.1 months, 95% CI 1.2 months - 22.0 months) (p < 0.001). RPA-II and RPA-III had higher death risk compared with RPA-I. This model outperformed existing models after bootstrapping validation. Postoperative SRS/SRT is effective for brain metastases. Appropriate patient selection, timely initiation and sufficient radiation dose improve outcomes. Our novel RPA model offers promising prognostic stratification for guiding treatment decisions.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты