Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
00302841026182
00306932607174
alsfakia@gmail.com

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Παρασκευή 9 Φεβρουαρίου 2018

Independent validation of a new reirradiation risk score (RRRS) for glioma patients predicting post-recurrence survival: A multicenter DKTK/ROG analysis

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Publication date: Available online 9 February 2018
Source:Radiotherapy and Oncology
Author(s): Maximilian Niyazi, Sebastian Adeberg, David Kaul, Anne-Laure Boulesteix, Nina Bougatf, Daniel F. Fleischmann, Arne Grün, Anna Krämer, Claus Rödel, Franziska Eckert, Frank Paulsen, Kerstin A. Kessel, Stephanie E. Combs, Oliver Oehlke, Anca-Ligia Grosu, Annekatrin Seidlitz, Annika Lattermann, Mechthild Krause, Michael Baumann, Maja Guberina, Martin Stuschke, Volker Budach, Claus Belka, Jürgen Debus
Background and purposeReirradiation (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 methodsThe 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.ResultsThe 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).ConclusionsThe 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.



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