Artificial intelligence in neurology: opportunities, challenges, and policy implications

S Voigtlaender, J Pawelczyk, M Geiger, EJ Vaios… - Journal of …, 2024 - Springer
Neurological conditions are the leading cause of disability and mortality combined,
demanding innovative, scalable, and sustainable solutions. Brain health has become a …

Novel Imaging Approaches for Glioma Classification in the Era of the World Health Organization 2021 Update: A Scoping Review

V Richter, U Ernemann, B Bender - Cancers, 2024 - mdpi.com
Simple Summary The 2021 WHO classification of central nervous system (CNS) tumors is
challenging for neuroradiologists due to the central role of the molecular profile of tumors …

A radiomics approach to identify immunologically active tumor in patients with head and neck squamous cell carcinomas

TM Nguyen, C Bertolus, P Giraud, A Burgun… - Cancers, 2023 - mdpi.com
Simple Summary We recently established a biological classification of head and neck
cancers into hot and cold tumors, which were associated with different responses to …

Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma

F Guan, Z Wang, Y Qiu, Y Guo, D Pei, M Wang… - Journal of Translational …, 2023 - Springer
Background To develop and validate a conventional MRI-based radiomic model for
predicting prognosis in patients with IDH wild-type glioblastoma (GBM) and reveal the …

Radiogenomics: bridging the gap between imaging and genomics for precision oncology

W He, W Huang, L Zhang, X Wu, S Zhang… - MedComm, 2024 - Wiley Online Library
Genomics allows the tracing of origin and evolution of cancer at molecular scale and
underpin modern cancer diagnosis and treatment systems. Yet, molecular biomarker …

[HTML][HTML] Texture feature differentiation of glioblastoma and solitary brain metastases based on tumor and tumor-brain interface

Y Chen, H Lin, J Sun, R Pu, Y Zhou, B Sun - Academic Radiology, 2024 - Elsevier
Rationale and Objectives Texture features, derived from both the entire tumor area and the
region of the tumor-to-brain interface, are crucial indicators for distinguishing tumor types …

Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies

P Ghimire, B Kinnersley, G Karami… - Neuro-Oncology …, 2024 - academic.oup.com
Background Immunotherapy is an effective “precision medicine” treatment for several
cancers. Imaging signatures of the underlying genome (radiogenomics) in glioblastoma …

Characterizing the relationship between MRI radiomics and AHR expression and deriving a predictive model for prognostic assessment in glioblastoma

C Liu, D Xu, L Meng, H Li, Z Fu, M Yan, X Hu, Y Wang - Neuroradiology, 2024 - Springer
Purpose Aryl hydrocarbon receptor (AHR), a crucial molecular marker associated with
glioma, is a potential therapeutic target. We aimed to establish a non-invasive predictive …

[PDF][PDF] Neuro-Oncology Advances

P Ghimire, B Kinnersley, G Karami, P Arumugam… - 2024 - researchgate.net
Background. Immunotherapy is an effective “precision medicine” treatment for several
cancers. Imaging signatures of the underlying genome (radiogenomics) in glioblastoma …