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Published in: Journal of Neuro-Oncology 2/2017

01-11-2017 | Clinical Study

Prediction of new brain metastases after radiosurgery: validation and analysis of performance of a multi-institutional nomogram

Authors: Diandra N. Ayala-Peacock, Albert Attia, Steve E. Braunstein, Manmeet S. Ahluwalia, Jaroslaw Hepel, Caroline Chung, Joseph Contessa, Emory McTyre, Ann M. Peiffer, John T. Lucas Jr, Scott Isom, Nicholas M. Pajewski, Rupesh Kotecha, Mark J. Stavas, Brandi R. Page, Lawrence Kleinberg, Colette Shen, Robert B. Taylor, Nasarachi E. Onyeuku, Andrew T. Hyde, Daniel Gorovets, Samuel T. Chao, Christopher Corso, Jimmy Ruiz, Kounosuke Watabe, Stephen B. Tatter, Gelareh Zadeh, Veronica L. S. Chiang, John B. Fiveash, Michael D. Chan

Published in: Journal of Neuro-Oncology | Issue 2/2017

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Abstract

Stereotactic radiosurgery (SRS) without whole brain radiotherapy (WBRT) for brain metastases can avoid WBRT toxicities, but with risk of subsequent distant brain failure (DBF). Sole use of number of metastases to triage patients may be an unrefined method. Data on 1354 patients treated with SRS monotherapy from 2000 to 2013 for new brain metastases was collected across eight academic centers. The cohort was divided into training and validation datasets and a prognostic model was developed for time to DBF. We then evaluated the discrimination and calibration of the model within the validation dataset, and confirmed its performance with an independent contemporary cohort. Number of metastases (≥8, HR 3.53 p = 0.0001), minimum margin dose (HR 1.07 p = 0.0033), and melanoma histology (HR 1.45, p = 0.0187) were associated with DBF. A prognostic index derived from the training dataset exhibited ability to discriminate patients’ DBF risk within the validation dataset (c-index = 0.631) and Heller’s explained relative risk (HERR) = 0.173 (SE = 0.048). Absolute number of metastases was evaluated for its ability to predict DBF in the derivation and validation datasets, and was inferior to the nomogram. A nomogram high-risk threshold yielding a 2.1-fold increased need for early WBRT was identified. Nomogram values also correlated to number of brain metastases at time of failure (r = 0.38, p < 0.0001). We present a multi-institutionally validated prognostic model and nomogram to predict risk of DBF and guide risk-stratification of patients who are appropriate candidates for radiosurgery versus upfront WBRT.
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Metadata
Title
Prediction of new brain metastases after radiosurgery: validation and analysis of performance of a multi-institutional nomogram
Authors
Diandra N. Ayala-Peacock
Albert Attia
Steve E. Braunstein
Manmeet S. Ahluwalia
Jaroslaw Hepel
Caroline Chung
Joseph Contessa
Emory McTyre
Ann M. Peiffer
John T. Lucas Jr
Scott Isom
Nicholas M. Pajewski
Rupesh Kotecha
Mark J. Stavas
Brandi R. Page
Lawrence Kleinberg
Colette Shen
Robert B. Taylor
Nasarachi E. Onyeuku
Andrew T. Hyde
Daniel Gorovets
Samuel T. Chao
Christopher Corso
Jimmy Ruiz
Kounosuke Watabe
Stephen B. Tatter
Gelareh Zadeh
Veronica L. S. Chiang
John B. Fiveash
Michael D. Chan
Publication date
01-11-2017
Publisher
Springer US
Published in
Journal of Neuro-Oncology / Issue 2/2017
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-017-2588-4

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