| Literature DB >> 36077863 |
Paolo Palmisciano1, Gianluca Ferini2, Ramlah Khan3, Othman Bin-Alamer4, Giuseppe E Umana5, Kenny Yu6, Aaron A Cohen-Gadol7, Tarek Y El Ahmadieh8, Ali S Haider9.
Abstract
BACKGROUND: Brain metastases (BMs) carry a high morbidity and mortality burden. Neoadjuvant stereotactic radiotherapy (NaSRT) has shown promising results. We systematically reviewed the literature on NaSRT for BMs.Entities:
Keywords: brain metastases; clinical trials; neoadjuvant radiotherapy; stereotactic radiosurgery; stereotactic radiotherapy
Year: 2022 PMID: 36077863 PMCID: PMC9455064 DOI: 10.3390/cancers14174328
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Figure 1PRISMA 2020 Flow-Diagram.
Overview of all included studies.
| Authors—Year | Patients/ | Planning Target | Dose (Gy) & Fraction (fr) | Extent of | Radiation | Local Failure/Distant Failure | Overall |
|---|---|---|---|---|---|---|---|
| Vetlova, 2017 [ | 19/ | 14.1 | 18 Gy (12.6–24.4) in 1 fr | GTR 22 (100%) | 2 (10.5%)/ | 2 (10.5%)/ | 6 m 100% |
| Patel, 2018 [ | 12/ | 14.7 | 16 Gy (12–21) in 1 fr | GTR 12 (100%) | 0 (0%)/ | 4 (33.3%)/ | 6 m 83.3% |
| Prabhu, 2018 [ | 117/ | 8.3 | 15 Gy (14–17) in 1 fr | GTR 119 (95.2%) | 11 (9.4%)/ | 26 (20.8%)/ | 1 y 60.6% |
| Prabhu, 2021 [ | 242/ | 9.9 | 15 Gy (14–16) in 1 fr (1–5) | GTR 237 (93.7%)/ | 18 (7.1%)/ | 15 Gy (14–16) in 1 fr (1–5) | 39 (15.4%)/ |
| Deguchi, 2022 [ | 20/ | 17.6 | 30 Gy (30–35) in 5 fr | GTR 17 (85%) | 0 (0%)/ | 1 (5%)/ | 6 m 56% |
| Kotecha, 2022 [ | 22/ | 14.2 | 18 Gy (15–30) in 1 fr (1–5) | GTR 22 (100%) | N/A | 3 (1.6%)/ | N/A |
| Udovicich, 2014 [ | 28/ | 4.5 | 23 Gy (18–27.5) in 3 fr (1–5) | GTR 25 (86.2%) | 1 (3.4%)/ | 2 (7.1%)/ | 1 y 60.1% |
Summary of clinical characteristics, treatment protocols, and pooled outcomes.
| Characteristics | Value |
|---|---|
| Cohort size (no.) | |
| Patients | 460 |
| Lesions | 483 |
| Demographics | |
| Age (years), median (range) | 60 (30–80) |
| Gender (female) | 253 (55%) |
| Primary Tumor | No. (%) |
| Non-small cell lung carcinoma | 190 (41.4%) |
| Breast cancer | 86 (18.7%) |
| Melanoma | 67 (14.6%) |
| Renal cell carcinoma | 43 (9.3%) |
| Others | 74 (16.1%) |
| Number of Lesions Per-Patient | No. (%) |
| 1 | 321 (69.8%) |
| 2 | 79 (17.2%) |
| 3 | 38 (8.3%) |
| 4 | 15 (3.3%) |
| ≥5 | 7 (1.5%) |
| Location | No. (%) |
| Supratentorial | 358 (77.8%) |
| Infratentorial | 102 (22.2%) |
| Planning Target Volume (cm3), median (range) | 9.9 (2.9–57.1) |
| Radiotherapy Protocol | |
| Prescribed dose (Gy) | 16.5 (12.6–35) |
| Number of fractions | |
| 1 | 439 (7.5%) |
| 3 | 21 (6.9%) |
| 5 | 23 (4.9%) |
| Biologically effective dose (BED) (Gy10) | 39.6 (35.7–60) |
| Time from Radiotherapy to Surgery (day), median (range) | 1 (1–10) |
| Surgery Protocol | No. (%) |
| Type of resection | |
| Piecemeal | 180 (76.3%) |
| En bloc | 56 (23.7%) |
| Extent of resection | |
| Gross-total | 454 (94%) |
| Subtotal | 29 (6%) |
| Follow-up (months), median (range) | 19.2 (1–41.3) |
| Outcomes | No. (%) |
| Radiation necrosis ( | 32 (7.3%) |
| Symptomatic | 24 (5.5%) |
| Local recurrences | 77 (16.7%) |
| Distant brain recurrences ( | 199 (43.3%) |
| Leptomeningeal metastases ( | 30 (6.8%) |
| Local tumor control ( | |
| 1-year | 80% (50–95%) |
| Overall survival ( | |
| 6-month | 80% (56–100%) |
| 1-year | 58% (50–74.1%) |
| 2-year | 37.8% (36.7–38.4%) |
| Survival Status ( | No. (%) |
| Alive | 146 (33.3%) |
| Dead | 292 (66.7%) |
Figure 2Forest plots of rates of (a) radiation necrosis [21,25,26,28,29,31], (b) symptomatic radiation necrosis [21,25,26,28,29,31], (c) local recurrences [25,26,27,28,29,30,31], (d) distant brain recurrences [26,27,28,29,31], (e) leptomeningeal metastases [25,26,27,28,29,31], (f) local control at 12 months [25,27,30,31], and overall survival at (g) 6 months [25,26,29], (h) 12 months [25,26,27,28,29,31], and (i) 24 months [27,28]. Squares define the proportions (effect size, ES) of individual studies and horizontal lines mark the 95% confidence intervals (CI). Diamonds indicate the pooled ES with 95% CI using the random effect model meta-analyses.