Generation and validation of a prognostic score to predict outcome after re-irradiation of recurrent glioma

Acta Oncol. 2013 Jan;52(1):147-52. doi: 10.3109/0284186X.2012.692882. Epub 2012 Jun 11.

Abstract

Re-irradiation using high-precision radiation techniques has been established within the clinical routine for patients with recurrent gliomas. In the present work, we developed a practical prognostic score to predict survival outcome after re-irradiation.

Patients and methods: Fractionated stereotactic radiotherapy (FSRT) was applied in 233 patients. Primary histology included glioblastoma (n = 89; 38%), WHO Grade III gliomas (n = 52; 22%) and low-grade glioma (n = 92; 40%). FSRT was applied with a median dose of 36 Gy in 2 Gy single fractions. We evaluated survival after re-irradiation as well as progression-free survival after re-irradiation; prognostic factors analyzed included age, tumor volume at re-irradiation, histology, time between initial radiotherapy and re-irradiation, age and Karnofsky Performance Score.

Results: Median survival after FSRT was 8 months for glioblastoma, 20 months for anaplastic gliomas, and 24 months for recurrent low-grade patients. The strongest prognostic factors significantly impacting survival after re-irradiation were histology (p < 0.0001) and age (< 50 vs. ≥ 50, p < 0.0001) at diagnosis and the time between initial radiotherapy and re-irradiation ≤ 12 vs. > 12 months (p < 0.0001). We generated a four-class prognostic score to distinguish patients with excellent (0 points), good (1 point), moderate (2 points) and poor (3-4 points) survival after re-irradiation. The difference in outcome was highly significant (p < 0.0001).

Conclusion: We generated a practical prognostic score index based on three clinically relevant factors to predict the benefit of patients from re-irradiation. This score index can be helpful in patient counseling, and for the design of further clinical trials. However, individual treatment decisions may include other patient-related factors not directly influencing outcome.

Publication types

  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Brain Neoplasms / mortality
  • Brain Neoplasms / pathology
  • Brain Neoplasms / radiotherapy*
  • Child
  • Disease-Free Survival
  • Dose Fractionation, Radiation
  • Female
  • Glioblastoma / mortality
  • Glioblastoma / pathology
  • Glioblastoma / radiotherapy*
  • Glioma / mortality
  • Glioma / pathology
  • Glioma / radiotherapy*
  • Humans
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local / mortality*
  • Neoplasm Recurrence, Local / radiotherapy*
  • Prognosis
  • Retreatment
  • Time-to-Treatment
  • Young Adult