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 < or = 80 (HR 3.53, 95% CI 1.56-8.00), patient age > 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.
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 < or = 80 (HR 3.53, 95% CI 1.56-8.00), patient age > 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.
Authors: John K Park; Tiffany Hodges; Leopold Arko; Michael Shen; Donna Dello Iacono; Adrian McNabb; Nancy Olsen Bailey; Teri Nguyen Kreisl; Fabio M Iwamoto; Joohee Sul; Sungyoung Auh; Grace E Park; Howard A Fine; Peter McL Black Journal: J Clin Oncol Date: 2010-07-19 Impact factor: 44.544
Authors: P Darvishi; P P Batchala; J T Patrie; L M Poisson; M-B Lopes; R Jain; C E Fadul; D Schiff; S H Patel Journal: AJNR Am J Neuroradiol Date: 2020-04-23 Impact factor: 3.825
Authors: David A Reardon; Annick Desjardins; James J Vredenburgh; James E Herndon; April Coan; Sridharan Gururangan; Katherine B Peters; Roger McLendon; Sith Sathornsumetee; Jeremy N Rich; Eric S Lipp; Dorothea Janney; Henry S Friedman Journal: Cancer Date: 2012-02-27 Impact factor: 6.860
Authors: Ben Shofty; Moran Artzi; Dafna Ben Bashat; Gilad Liberman; Oz Haim; Alon Kashanian; Felix Bokstein; Deborah T Blumenthal; Zvi Ram; Tal Shahar Journal: Int J Comput Assist Radiol Surg Date: 2017-12-21 Impact factor: 2.924