[HTML][HTML] Immunotherapy for glioma: current management and future application

S Xu, L Tang, X Li, F Fan, Z Liu - Cancer letters, 2020 - Elsevier
Gliomas are intrinsic brain tumors that originate from neuroglial progenitor cells.
Conventional therapies, including surgery, chemotherapy, and radiotherapy, have achieved …

Treatment of brain metastases with stereotactic radiosurgery and immune checkpoint inhibitors: An international meta-analysis of individual patient data

EJ Lehrer, J Peterson, PD Brown, JP Sheehan… - Radiotherapy and …, 2019 - Elsevier
Background and purpose While the combination of stereotactic radiosurgery (SRS) and
immune checkpoint inhibitors (ICI) is becoming more widely used in the treatment of brain …

Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism

C Monteiro, L Miarka, M Perea-García, N Priego… - Nature medicine, 2022 - nature.com
Whole-brain radiotherapy (WBRT) is the treatment backbone for many patients with brain
metastasis; however, its efficacy in preventing disease progression and the associated …

Trends in intracranial glioma incidence and mortality in the United States, 1975-2018

D Lin, M Wang, Y Chen, J Gong, L Chen, X Shi… - Frontiers in …, 2021 - frontiersin.org
Purpose Glioma incidence in the US seems to have stabilized over the past 20 years. It's
also not clear whether changes in glioblastoma incidence are associated with glioma …

[HTML][HTML] Newly diagnosed glioblastoma: a review on clinical management

RV Lukas, DA Wainwright, E Ladomersky… - … (Williston Park, NY), 2019 - ncbi.nlm.nih.gov
Glioblastoma is an aggressive primary tumor of the central nervous system. This review will
focus on clinical developments and management of newly diagnosed disease, including a …

A deep learning radiomics model for preoperative grading in meningioma

Y Zhu, C Man, L Gong, D Dong, X Yu, S Wang… - European journal of …, 2019 - Elsevier
Objectives To noninvasively differentiate meningioma grades by deep learning radiomics
(DLR) model based on routine post-contrast MRI. Methods We enrolled 181 patients with …

Urgent considerations for the neuro-oncologic treatment of patients with gliomas during the COVID-19 pandemic

NA Mohile, JO Blakeley, NTN Gatson… - Neuro …, 2020 - academic.oup.com
The COVID-19 outbreak is posing unprecedented risks and challenges for all communities
and health care systems, worldwide. There are unique considerations for many adult …

Molecular biomarker-defined brain tumors: epidemiology, validity, and completeness in the United States

JB Iorgulescu, C Sun, C Neff, G Cioffi… - Neuro …, 2022 - academic.oup.com
Background Selected molecular biomarkers were incorporated into the US cancer registry
reporting for patients with brain tumors beginning in 2018. We investigated the …

The diagnostic value of radiomics-based machine learning in predicting the grade of meningiomas using conventional magnetic resonance imaging: a preliminary …

C Chen, X Guo, J Wang, W Guo, X Ma, J Xu - Frontiers in oncology, 2019 - frontiersin.org
Objective: The purpose of the current study is to investigate whether texture analysis-based
machine learning algorithms could help devise a non-invasive imaging biomarker for …

Supramaximal versus gross total resection in Glioblastoma, IDH wild-type and Astrocytoma, IDH-mutant, grade 4, effect on overall and progression free survival …

JF Mier-García, S Ospina-Santa, J Orozco-Mera… - Journal of neuro …, 2023 - Springer
Purpose To synthesize the evidence on the impact on progression-free survival (PFS) and
overall survival (OS) of supramaximal resection (SMR) over gross total resection (GTR) in …