Optimizing adjuvant treatment options for patients with glioblastoma

E Zhu, J Wang, W Shi, Q Jing, P Ai, D Shan… - Frontiers in …, 2024 - frontiersin.org
Background This study focused on minimizing the costs and toxic effects associated with
unnecessary chemotherapy. We sought to optimize the adjuvant therapy strategy, choosing …

Individualized survival prediction and surgery recommendation for patients with glioblastoma

E Zhu, J Wang, Q Jing, W Shi, Z Xu, P Ai, Z Chen… - Frontiers in …, 2024 - frontiersin.org
Background There is a lack of individualized evidence on surgical choices for glioblastoma
(GBM) patients. Aim This study aimed to make individualized treatment recommendations for …

Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study)

A Chelliah, DA Wood, LS Canas, H Shuaib… - Neuro …, 2024 - academic.oup.com
Background The aim was to predict survival of glioblastoma at 8 months after radiotherapy
(a period allowing for completing a typical course of adjuvant temozolomide), by applying …

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 …

Deep learning approaches for glioblastoma prognosis in resource-limited settings: A study using basic patient demographic, clinical, and surgical inputs

M Ghanem, AK Ghaith, C Zamanian, A Bon-Nieves… - World neurosurgery, 2023 - Elsevier
Background Glioblastoma (GBM) is the most common brain tumor in the United States, with
an annual incidence rate of 3.21 per 100,000. It is the most aggressive type of diffuse glioma …

Prediction of outcomes with a computational biology model in newly diagnosed glioblastoma patients treated with radiation therapy and temozolomide

R Rahman, L Trippa, S Alden, G Fell, T Abbasi… - International Journal of …, 2020 - Elsevier
Purpose Precision medicine has been most successful in targeting single mutations, but
personalized medicine using broader genomic tumor profiles for individual patients is less …

From molecular signatures to radiomics: tailoring neurooncological strategies through forecasting of glioma growth

P Rauch, M Aichholzer, C Serra, O Zanier… - Neurosurgical …, 2024 - thejns.org
OBJECTIVE Contemporary oncological paradigms for adjuvant treatment of low-and
intermediate-grade gliomas are often guided by a limited array of parameters, overlooking …

[HTML][HTML] ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?

J Haemmerli, L Sveikata, A Nouri, A May… - BMJ Health & Care …, 2023 - ncbi.nlm.nih.gov
Methods We randomly selected 10 patients with brain gliomas discussed at our institution's
central nervous system tumour board (CNS TB). Patients' clinical status, surgical outcome …

[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 …

Can extended chemotherapy improve glioblastoma outcomes? A retrospective analysis of survival in real-world patients

N Gherasim-Morogai, VA Afrasanie, B Gafton… - Journal of Personalized …, 2022 - mdpi.com
Standard treatment for glioblastoma multiforme (GBM) is surgery followed by radiotherapy
plus concurrent chemotherapy with daily temozolomide (TMZ), and six subsequent TMZ 5/28 …