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Published in: Journal of Neuro-Oncology 2/2018

01-11-2018 | Clinical Study

Prognostic models for patients with brain metastases after stereotactic radiosurgery with or without whole brain radiotherapy: a validation study

Authors: Stephanie R. Rice, Søren M. Bentzen, Andrew Hanna, Enid Choi, Drexell H. Boggs, Young Kwok, Jalal Hyder, Steven J. Feigenberg, William F. Regine, Graeme F. Woodworth, Howard M. Eisenberg, Cedric Yu, Terri F. Biggins, Jill S. Barnholtz-Sloan, Paul W. Sperduto, Eduardo Weltman, Minesh P. Mehta

Published in: Journal of Neuro-Oncology | Issue 2/2018

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Abstract

Purpose/Objective(s)

To compare the performance of five prognostic models [RTOG recursive partitioning analysis (RPA), Score Index for Radiosurgery in Brain Metastases (SIR), Barnholtz-Sloan–Kattan nomogram (BSKN), diagnosis-specific Graded Prognostic Assessment (dsGPA), and Graded Prognostic Assessment for Lung Cancer Using Molecular Markers (Lung-molGPA)] against actual survival in patients with brain metastases treated with SRS +/− WBRT.

Materials/Methods

100 consecutive patients treated with SRS +/− WBRT between January 2006 and July 2012 were retrospectively analyzed. Patients were binned according to 33 percentiles of the predicted survival distribution for the BSKN and dsGPA models to compare with LungmolGPA, RPA and SIR. Pearson’s correlation coefficients between predicted and observed survival were estimated to quantify the proportion of variance in observed survival.

Results

Median survival for the entire cohort was 13.5 months, with predicted vs actual MS by BSKN, SIR, dsGPA, RPA, adenocarcinoma Lung-molGPA, and nonadenocarcinoma Lung-molGPA was 3.8 vs 15.6 months, 7 vs 13.5 months, 9.4 vs 13.5 months, 10.3 vs 13.5 months, 13.7 vs 13.7 months, and 9.8 vs 9.7 months, respectively. The BSKN model and adenocarcinoma LungmolGPA created three groups with a statistically significantly different MS (p = 0.002 and p = 0.01, respectively).

Conclusion

All models under-predicted MS and only the BSKN and Lung-molGPA model stratified patients into three risk groups with statistically significant actual MS. The prognostic groupings of the adenocarcinoma Lung-molGPA group was the best predictor of MS, and showed that we are making improvements in our prognostic ability by utilizing molecular information that is much more widely available in the current treatment era.
Literature
23.
go back to reference IBM SPSS Statistics for Windows. No Title. 2011 IBM SPSS Statistics for Windows. No Title. 2011
Metadata
Title
Prognostic models for patients with brain metastases after stereotactic radiosurgery with or without whole brain radiotherapy: a validation study
Authors
Stephanie R. Rice
Søren M. Bentzen
Andrew Hanna
Enid Choi
Drexell H. Boggs
Young Kwok
Jalal Hyder
Steven J. Feigenberg
William F. Regine
Graeme F. Woodworth
Howard M. Eisenberg
Cedric Yu
Terri F. Biggins
Jill S. Barnholtz-Sloan
Paul W. Sperduto
Eduardo Weltman
Minesh P. Mehta
Publication date
01-11-2018
Publisher
Springer US
Published in
Journal of Neuro-Oncology / Issue 2/2018
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-018-2958-6

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