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Niyazi, Maximilian; Adeberg, Sebastian; Kaul, David; Boulesteix, Anne-Laure; Bougatf, Nina; Fleischmann, Daniel F.; Grün, Arne; Krämer, Anna; Rödel, Claus; Eckert, Franziska; Paulsen, Frank; Kessel, Kerstin A.; Combs, Stephanie E.; Oehlke, Oliver; Grosu, Anca-Ligia; Seidlitz, Annekatrin; Lattermann, Annika; Krause, Mechthild; Baumann, Michael; Guberina, Maja; Stuschke, Martin; Budach, Volker; Belka, Claus; Debus, Jürgen (2018): Independent validation of a new reirradiation risk score (RRRS) for glioma patients predicting post-recurrence survival: A multicenter DKTK/ROG analysis. In: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, Vol. 127, No. 1: pp. 121-127
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Abstract

BACKGROUND AND PURPOSE Reirradiation (reRT) is a valid option with considerable efficacy in patients with recurrent high-grade glioma, but it is still not known which patients might be optimal candidates for a second course of irradiation. This study validated a newly developed prognostic score independently in an external patient cohort. MATERIAL AND METHODS The reRT risk score (RRRS) is based on a linear combination of initial histology, clinical performance status, and age derived from a multivariable model of 353 patients. This score can predict post-recurrence survival (PRS) after reRT. The validation dataset consisted of 212 patients. RESULTS The RRRS differentiates three prognostic groups. Discrimination and calibration were maintained in the validation group. Median PRS times in the development cohort for the good/intermediate/poor risk categories were 14.2, 9.1, and 5.3 months, respectively. The respective groups within the validation cohort displayed median PRS times of 13.8, 8.8, and 3.8 months, respectively. Uno's C for development data was 0.64 (CI: 0.60-0.69) and for validation data 0.63 (CI: 0.58-0.68). CONCLUSIONS The RRRS has been successfully validated in an independent patient cohort. This linear combination of three easily determined clinicopathological factors allows for a reliable classification of patients and may be used as stratification factor for future trials.