External validity of two nomograms for predicting distant brain failure after radiosurgery for brain metastases in a bi-institutional independent patient ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

Roshan S. Prabhu, Robert H. Press, Danielle M. Boselli, Katherine R. Miller, Scott P. Lankford, Robert J. McCammon, Benjamin J. Moeller, John H. Heinzerling, Carolina E. Fasola, Kirtesh R. Patel, Anthony L. Asher, Ashley L. Sumrall, Walter J. Curran, Hui-Kuo G. Shu, Stuart H. Burri

ABSTRACT

Patients treated with stereotactic radiosurgery (SRS) for brain metastases (BM) are at increased risk of distant brain failure (DBF). Two nomograms have been recently published to predict individualized risk of DBF after SRS. The goal of this study was to assess the external validity of these nomograms in an independent patient cohort. The records of consecutive patients with BM treated with SRS at Levine Cancer Institute and Emory University between 2005 and 2013 were reviewed. Three validation cohorts were generated based on the specific nomogram or recursive partitioning analysis (RPA) entry criteria: Wake Forest nomogram (n = 281), Canadian nomogram (n = 282), and Canadian RPA (n = 303) validation cohorts. Freedom from DBF at 1-year in the Wake Forest study was 30% compared with 50% in the validation cohort. The validation c-index for both the 6-month and 9-month freedom from DBF Wake Forest nomograms was 0.55, indicating poor discrimination ability, and the goodness-of-fit test for both nomograms was highly significant (p < 0.001), indicating poor calibration. The 1-year actuarial DBF in the Canadian nomogram study was 43.9% compared with 50.9% in the validation cohort. The validation c-index for the Canadian 1-year DBF nomogram was 0.56, and the goodness-of-fit test was also highly significant (p < 0.001). The validation accuracy and c-index of the Canadian RPA classification was 53% and 0.61, respectively. The Wake Forest and Canadian nomograms for predicting risk of DBF after SRS were found to have limited predictive ability in an independent bi-institutional validation cohort. These results reinforce the importance of validating predictive models in independent patient cohorts. More... »

PAGES

147-154

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11060-017-2707-2

DOI

http://dx.doi.org/10.1007/s11060-017-2707-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099699693

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29218431


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JSON-LD is a popular format for linked data which is fully compatible with JSON.

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N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11060-017-2707-2'


 

This table displays all metadata directly associated to this object as RDF triples.

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