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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 …
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 …
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
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 …
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
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 …
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 …
methyltransferase (MGMT) promoter methylation in diffuse gliomas by develo** a deep …
Radiomics for precision medicine in glioblastoma
Introduction Being the most common primary brain tumor, glioblastoma presents as an
extremely challenging malignancy to treat with dismal outcomes despite treatment. Varying …
extremely challenging malignancy to treat with dismal outcomes despite treatment. Varying …
Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges
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 …
including both primary as well as metastatic tumors. Currently, a significant clinical …
Glioma survival analysis empowered with data engineering—a survey
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 …
tumor heterogeneity. In clinical practice, clinicians estimate the survival with their …
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction
The accurate prognosis of glioblastoma multiforme (GBM) plays an essential role in
planning correlated surgeries and treatments. The conventional models of survival …
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 …
and radiomics/imaging biomarkers have potential to demonstrate heterogeneity. The …