A review of newly diagnosed glioblastoma

B Oronsky, TR Reid, A Oronsky, N Sandhu… - Frontiers in …, 2021 - frontiersin.org
Glioblastoma is an aggressive and inevitably recurrent primary intra-axial brain tumor with a
dismal prognosis. The current mainstay of treatment involves maximally safe surgical …

The era of radiogenomics in precision medicine: an emerging approach to support diagnosis, treatment decisions, and prognostication in oncology

L Shui, H Ren, X Yang, J Li, Z Chen, C Yi, H Zhu… - Frontiers in …, 2021 - frontiersin.org
With the rapid development of new technologies, including artificial intelligence and genome
sequencing, radiogenomics has emerged as a state-of-the-art science in the field of …

Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics

A Carré, G Klausner, M Edjlali, M Lerousseau… - Scientific reports, 2020 - nature.com
Radiomics relies on the extraction of a wide variety of quantitative image-based features to
provide decision support. Magnetic resonance imaging (MRI) contributes to the …

Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets

H Um, F Tixier, D Bermudez, JO Deasy… - Physics in Medicine …, 2019 - iopscience.iop.org
Recent advances in radiomics have enhanced the value of medical imaging in various
aspects of clinical practice, but a crucial component that remains to be investigated further is …

[HTML][HTML] Predicting MGMT promoter methylation in diffuse gliomas using deep learning with radiomics

S Chen, Y Xu, M Ye, Y Li, Y Sun, J Liang, J Lu… - Journal of clinical …, 2022 - mdpi.com
This study aimed to investigate the feasibility of predicting oxygen 6-methylguanine-DNA
methyltransferase (MGMT) promoter methylation in diffuse gliomas by develo** a deep …

Radiomics for precision medicine in glioblastoma

K Aftab, FB Aamir, S Mallick, F Mubarak… - Journal of neuro …, 2022 - Springer
Introduction Being the most common primary brain tumor, glioblastoma presents as an
extremely challenging malignancy to treat with dismal outcomes despite treatment. Varying …

Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges

N Beig, K Bera, P Tiwari - Neuro-Oncology Advances, 2020 - academic.oup.com
Neuro-oncology largely consists of malignancies of the brain and central nervous system
including both primary as well as metastatic tumors. Currently, a significant clinical …

Glioma survival analysis empowered with data engineering—a survey

N Wijethilake, D Meedeniya, C Chitraranjan… - Ieee …, 2021 - ieeexplore.ieee.org
Survival analysis is a critical task in glioma patient management due to the inter and intra
tumor heterogeneity. In clinical practice, clinicians estimate the survival with their …

Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction

M Islam, N Wijethilake, H Ren - Computerized Medical Imaging and …, 2021 - Elsevier
The accurate prognosis of glioblastoma multiforme (GBM) plays an essential role in
planning correlated surgeries and treatments. The conventional models of survival …

Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with …

Y Lu, M Patel, K Natarajan, I Ughratdar… - Magnetic resonance …, 2020 - Elsevier
Introduction Survival varies in patients with glioblastoma due to intratumoral heterogeneity
and radiomics/imaging biomarkers have potential to demonstrate heterogeneity. The …