Abstract
Background/Aim: Personalized treatment for low-grade gliomas likely improves patient outcomes. This study aimed to identify predictors of local control and survival. Patients and Methods: Twenty-five patients irradiated for grade II gliomas were retrospectively analyzed. Irradiation was performed after biopsy (n=6) or incomplete resection (n=19). Nineteen patients received additional chemotherapy. Eight factors were analyzed, namely the number of glioma sites, cumulative maximum diameter, radiotherapy technique, Karnofsky performance score (KPS), gender, age, resection and chemotherapy.
Results: On univariate analysis, trends for associations with local control were found for cumulative maximum diameter ≤43 mm (p=0.087) and age ≤45 years (p=0.065). In the Cox regression analysis, cumulative maximum diameter maintained significance (p=0.046). On univariate analysis, KPS 90-100 (p=0.039) and female gender (p=0.022) were significantly associated with better survival. In the Cox regression analysis, both KPS (p=0.039) and gender (p=0.016) were significant.
Conclusion: Independent predictors of local control and survival were identified that can contribute to better treatment personalization.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | In Vivo |
| Jahrgang | 34 |
| Ausgabenummer | 6 |
| Seiten (von - bis) | 3719-3722 |
| Seitenumfang | 4 |
| ISSN | 0258-851X |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 05.11.2020 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gesundheit und Wohlergehen
Strategische Forschungsbereiche und Zentren
- Forschungsschwerpunkt: Biomedizintechnik
- Profilbereich: Lübeck Integrated Oncology Network (LION)
DFG-Fachsystematik
- 2.22-33 Nuklearmedizin, Strahlentherapie, Strahlenbiologie
- 2.22-14 Hämatologie, Onkologie
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