[HTML][HTML] Nomograms for predicting progression-free survival and overall survival after surgery and concurrent chemoradiotherapy for glioblastoma: a retrospective …
L Zheng, ZR Zhou, M Shi, H Chen, QQ Yu… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background Glioblastoma (GBM) is the most common malignant brain tumor in adults. The
prognosis of GBM patients is poor. Even with active standard treatment, the median overall …
prognosis of GBM patients is poor. Even with active standard treatment, the median overall …
Evaluation of Five Prognostic Scores in Patients Receiving Chemoradiation for Primary Glioblastoma Multiforme
O Zemskova, NY YU, A Löser, J Leppert, D Rades - in vivo, 2024 - iv.iiarjournals.org
Background/Aim: Prognostic factors can facilitate treatment personalization in patients with
glioblastoma multiforme (GBM). This study investigated different Glasgow prognostic scores …
glioblastoma multiforme (GBM). This study investigated different Glasgow prognostic scores …
A comparative analysis of the usefulness of survival prediction models for patients with glioblastoma in the temozolomide era: the importance of methylguanine …
Objective Several survival prediction models for patients with glioblastoma have been
proposed, but none is widely used. This study aims to identify the predictors of overall …
proposed, but none is widely used. This study aims to identify the predictors of overall …
Prognostic nomogram for glioblastoma (GBM) patients presenting with distant extension: a seer-based study
Z Zhou, J Yuan, H Chen, LP Zhan, E Sun… - Journal of Cancer …, 2023 - Springer
Background Glioblastoma (GBM) with distant extension is rarely reported. We retrieved the
data of GBM patients from the SEER database to identify the prognostic factors of GBM with …
data of GBM patients from the SEER database to identify the prognostic factors of GBM with …
Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model
Background and purpose We aimed to develop a clinically applicable prognosis prediction
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …
model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma …
Prognostic model for predicting overall survival in patients with glioblastoma: an analysis based on the SEER database
Y Luo, L Hao, C Liu, Y Xiang, X Han… - Journal of …, 2023 - journals.sagepub.com
Predicting the prognosis of glioblastoma (GBM) has always been important for improving
survival. An understanding of the prognostic factors for patients with GBM can help guide …
survival. An understanding of the prognostic factors for patients with GBM can help guide …
Multi-parametric deep learning model for prediction of overall survival after postoperative concurrent chemoradiotherapy in glioblastoma patients
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 …
prediction model, which predicts the overall survival (OS) time of glioblastoma patients who …
Validation and optimization of a web-based nomogram for predicting survival of patients with newly diagnosed glioblastoma
Purpose To optimize and validate a current (NRG [a newly constituted National Clinical
Trials Network group through National Surgical Adjuvant Breast and Bowel Project [NSABP] …
Trials Network group through National Surgical Adjuvant Breast and Bowel Project [NSABP] …
Can MRI-derived factors predict the survival in glioblastoma patients treated with postoperative chemoradiation therapy?
H Nakamura, R Murakami, T Hirai… - Acta …, 2013 - journals.sagepub.com
Background Advanced diagnostic and therapeutic developments may yield novel prognostic
factors in patients with glioblastoma multiforme (GBM). Purpose To validate the predictive …
factors in patients with glioblastoma multiforme (GBM). Purpose To validate the predictive …
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 …