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.
| Original language | English |
|---|---|
| Journal | In Vivo |
| Volume | 34 |
| Issue number | 6 |
| Pages (from-to) | 3719-3722 |
| Number of pages | 4 |
| ISSN | 0258-851X |
| DOIs | |
| Publication status | Published - 05.11.2020 |
Research Areas and Centers
- Academic Focus: Biomedical Engineering
- Research Area: Luebeck Integrated Oncology Network (LION)
DFG Research Classification Scheme
- 2.22-33 Nuclear Medicine, Radiotherapy, Radiobiology
- 2.22-14 Hematology, Oncology
