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October 31, 2008Journal of neurosurgery233 citations

Preoperative prognostic classification system for hemispheric low-grade gliomas in adults

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ECEdward F. ChangBrigham and Women's HospitalJSJustin S. SmithNorthwestern UniversitySCSusan M. ChangNorthwestern University

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Abstract

OBJECT: Hemispheric low-grade gliomas (LGGs) have an unpredictable progression and overall survival (OS) profile. As a result, the objective in the present study was to design a preoperative scoring system to prognosticate long-term outcomes in patients with LGGs. METHODS: The authors conducted a retrospective review with long-term follow-up of 281 adults harboring hemispheric LGGs (World Health Organization Grade II lesions). Clinical and radiographic data were collected and analyzed to identify preoperative predictors of OS, progression-free survival (PFS), and extent of resection (EOR). These variables were used to devise a prognostic scoring system. RESULTS: The 5-year estimated survival probability was 0.86. Multivariate Cox proportional hazards modeling demonstrated that 4 factors were associated with lower OS: presumed eloquent location (hazard ratio HR 4.12, 95% confidence interval CI 1.71-10.42), Karnofsky Performance Scale score 50 years (HR 1.96, 95% CI 1.47-3.77), and tumor diameter > 4 cm (HR 3.43, 95% CI 1.43-8.06). A scoring system calculated from the sum of these factors (range 0-4) demonstrated risk stratification across study groups, with the following 5-year cumulative survival estimates: Scores 0-1, OS = 0.97, PFS = 0.76; Score 2, OS = 0.81, PFS = 0.49; and Scores 3-4, OS = 0.56, PFS = 0.18 (p < 0.001 for both OS and PFS, log-rank test). This proposed scoring system demonstrated a high degree of interscorer reliability (kappa = 0.86). Four illustrative cases are described. CONCLUSIONS: The authors propose a simple and reliable scoring system that can be used to preoperatively prognosticate the degree of lesion resectability, PFS, and OS in patients with LGGs. The application of a standardized scoring system for LGGs should improve clinical decision-making and allow physicians to reliably predict patient outcome at the time of the original imaging-based diagnosis.

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Cite This Study

Chang et al. (2008) studied this question.

synapsesocial.com/papers/6a1e88bee6eabd489e68b01bhttps://doi.org/10.3171/jns/2008/109/11/0817
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