Patterns of recurrence and outcomes of glioblastoma multiforme treated with chemoradiation and adjuvant temozolomide

AC Faustino, GA Viani, AC Hamamura - Clinics, 2020 - SciELO Brasil
OBJECTIVES: To assess the patterns of failure and prognostic factors in Brazilian patients
with glioblastoma multiforme (GBM) treated with radiotherapy (RT) and concurrent and …

Novel recursive partitioning analysis classification for newly diagnosed glioblastoma: a multi-institutional study highlighting the MGMT promoter methylation and IDH1 …

CW Wee, E Kim, N Kim, IA Kim, TM Kim, YJ Kim… - Radiotherapy and …, 2017 - Elsevier
Background and purpose To refine the recursive partitioning analysis (RPA) classification for
glioblastoma incorporating the MGMT methylation and IDH1 mutation status. Methods and …

Multi-parametric deep learning model for prediction of overall survival after postoperative concurrent chemoradiotherapy in glioblastoma patients

HG Yoon, W Cheon, SW Jeong, HS Kim, K Kim, H Nam… - Cancers, 2020 - mdpi.com
This study aimed to investigate the performance of a deep learning-based survival-
prediction model, which predicts the overall survival (OS) time of glioblastoma patients who …

Trends in glioblastoma: outcomes over time and type of intervention: a systematic evidence based analysis

L Marenco-Hillembrand, O Wijesekera… - Journal of neuro …, 2020 - Springer
Introduction Despite aggressive treatment with chemoradiotherapy and maximum surgical
resection, survival in patients with glioblastoma (GBM) remains poor. Ongoing efforts are …

Nomograms for predicting survival of patients with newly diagnosed glioblastoma: prognostic factor analysis of EORTC and NCIC trial 26981-22981/CE. 3

T Gorlia, MJ van den Bent, ME Hegi… - The lancet …, 2008 - thelancet.com
Background A randomised trial published by the European Organisation for Research and
Treatment of Cancer (EORTC) and the National Cancer Institute of Canada (NCIC) Clinical …

A revised RTOG recursive partitioning analysis (RPA) model for glioblastoma based upon multiplatform biomarker profiles

A Chakravarti, M Wang, K Aldape, E Sulman… - International Journal of …, 2012 - redjournal.org
Results pAKT, c-met, and MGMT protein were each found to be significantly associated with
adverse outcome on multivariate analysis. These variables were combined with clinical and …

Time trends in glioblastoma multiforme survival: the role of temozolomide

R Dubrow, AS Darefsky, DI Jacobs, LS Park… - Neuro …, 2013 - academic.oup.com
Background In 2005, maximum safe surgical resection, followed by radiotherapy with
concomitant temozolomide (TMZ), followed by adjuvant TMZ became the standard of care …

A population-based study of glioblastoma multiforme (GBM) in the new stupp paradigm: have we improved outcome?

Z Lwin, D MacFadden, A Al-Zahrani… - Journal of Clinical …, 2011 - ascopubs.org
2012 Background: Current standard of care for newly diagnosed GBM includes trimodality
treatment followed by six cycles of adjuvant temozolomide (TMZ). We analysed the uptake of …

Advancing Precision Prognostication in Neuro-Oncology: Machine Learning Models for Data-Driven Personalized Survival Predictions in IDH-Wildtype Glioblastoma

M Karabacak, P Jagtiani, L Di, AH Shah… - Neuro-Oncology …, 2024 - academic.oup.com
Background Glioblastoma (GBM) remains associated with a dismal prognosis despite
standard therapies. While population-level survival statistics are established, generating …

Radiotherapy (RT) and concomitant and adjuvant temozolomide (TMZ) versus radiotherapy alone for newly diagnosed glioblastoma (GBM): Overall results and …

R Mirimanoff, W Mason, R Kortmann… - International Journal of …, 2004 - redjournal.org
Results Between July 2000 and March 2002, a total of 573 patients were randomized by 85
institutions. Sixteen percent of patients had a biopsy only, and 84% had either partial (44%) …