Abstract
BACKGROUND: Two intracranial tumor volume variables have been shown to prognosticate survival of stereotactic-radiosurgery-treated brain metastasis patients: the largest intracranial tumor volume (LITV) and the cumulative intracranial tumor volume (CITV). OBJECTIVE: To determine whether the prognostic value of the Scored Index for Radiosurgery (SIR) model can be improved by replacing one of its components-LITV-with CITV. METHODS:We compared LITV and CITV in terms of their survival prognostication using a series of multivariablemodels that included known components of the SIR: age, Karnofsky Performance Score, status of extracranial disease, and the number of brain metastases. Models were compared using established statistical measures, including the net reclassification improvement (NRI > 0) and integrated discrimination improvement (IDI). The analysis was performed in 2 independent cohorts, each consisting of ∼3000 patients. RESULTS: In both cohorts, CITV was shown to be independently predictive of patient survival. Replacement of LITV with CITV in the SIR model improved the model's ability to predict 1-yr survival. In the first cohort, the CITVmodel showed an NRI>0 improvement of 0.2574 (95% confidence interval [CI] 0.1890-0.3257) and IDI of 0.0088 (95% CI 0.0057-0.0119) relative to the LITVmodel. In the second cohort, the CITV model showed a NRI>0 of 0.2604 (95% CI 0.1796-0.3411) and IDI of 0.0051 (95% CI 0.0029-0.0073) relative to the LITV model. CONCLUSION: After accounting for covariates within the SIR model, CITV offers superior prognostic value relative to LITV for stereotactic radiosurgery-treated brain metastasis patients.
Original language | English (US) |
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Pages (from-to) | 473-480 |
Number of pages | 8 |
Journal | Clinical neurosurgery |
Volume | 82 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:Copyright © 2017 by the Congress of Neurological Surgeons.
Keywords
- Brain metastases
- Cumulative intracranial tumor volume
- Net reclassification improvement
- Prognostic model
- Radiosurgery