Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach
R Rockne, JK Rockhill, M Mrugala… - Physics in Medicine …, 2010 - iopscience.iop.org
Glioblastoma multiforme (GBM) is the most malignant form of primary brain tumors known as
gliomas. They proliferate and invade extensively and yield short life expectancies despite …
gliomas. They proliferate and invade extensively and yield short life expectancies despite …
Combining multimodal imaging and treatment features improves machine learning‐based prognostic assessment in patients with glioblastoma multiforme
JC Peeken, T Goldberg, T Pyka, M Bernhofer… - Cancer …, 2019 - Wiley Online Library
Background For Glioblastoma (GBM), various prognostic nomograms have been proposed.
This study aims to evaluate machine learning models to predict patients' overall survival …
This study aims to evaluate machine learning models to predict patients' overall survival …
Revisiting Concurrent Radiation Therapy, Temozolomide, and the Histone Deacetylase Inhibitor Valproic Acid for Patients with Glioblastoma—Proteomic Alteration …
Background: Glioblastoma (GBM) is the most common brain tumor with an overall survival
(OS) of less than 30% at two years. Valproic acid (VPA) demonstrated survival benefits …
(OS) of less than 30% at two years. Valproic acid (VPA) demonstrated survival benefits …
Clinical utility of neurocognitive function (NCF), quality of life (QOL), and symptom assessment as prognostic factors for survival and measures of treatment effects on …
TS Armstrong, JS Wefel, M Wang, M Won… - Journal of Clinical …, 2011 - ascopubs.org
2016 Background: RTOG 0525, a randomized phase III study compared dose-dense (dd)
versus standard dose (sd) temozolomide in patients with newly diagnosed glioblastoma …
versus standard dose (sd) temozolomide in patients with newly diagnosed glioblastoma …
Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy
T Mizutani, T Magome, H Igaki, A Haga… - Journal of Radiation …, 2019 - academic.oup.com
The purpose of this study was to predict the survival time of patients with malignant glioma
after radiotherapy with high accuracy by considering additional clinical factors and optimize …
after radiotherapy with high accuracy by considering additional clinical factors and optimize …
A validated integrated clinical and molecular glioblastoma long-term survival-predictive nomogram
SD Ferguson, TR Hodges, NK Majd… - Neuro-oncology …, 2021 - academic.oup.com
Background Glioblastoma (GBM) is the most common primary malignant brain tumor in
adulthood. Despite multimodality treatments, including maximal safe resection followed by …
adulthood. Despite multimodality treatments, including maximal safe resection followed by …
Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection
M Dal Bo, M Polano, T Ius, F Di Cintio… - Journal of Translational …, 2023 - Springer
Abstract Background Glioma grade 4 (GG4) tumors, including astrocytoma IDH-mutant
grade 4 and the astrocytoma IDH wt are the most common and aggressive primary tumors of …
grade 4 and the astrocytoma IDH wt are the most common and aggressive primary tumors of …
An independently validated nomogram for individualized estimation of survival among patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and …
Background. Glioblastoma (GBM) is the most common primary malignant brain tumor.
Nomograms are often used for individualized estimation of prognosis. This study aimed to …
Nomograms are often used for individualized estimation of prognosis. This study aimed to …
Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma
Background The purpose of this study was to analyze the potential of radiomics for disease
stratification beyond key molecular, clinical, and standard imaging features in patients with …
stratification beyond key molecular, clinical, and standard imaging features in patients with …
Identifying predictive gene expression and signature related to temozolomide sensitivity of glioblastomas
HQ Cai, AS Liu, MJ Zhang, HJ Liu, XL Meng… - Frontiers in …, 2020 - frontiersin.org
Temozolomide (TMZ) is considered a standard chemotherapeutic agent for glioblastoma
(GBM). Characterizing the biological molecules and signaling pathways involved in TMZ …
(GBM). Characterizing the biological molecules and signaling pathways involved in TMZ …