Radiomics and radiogenomics in gliomas: a contemporary update
The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
Sampling restrictions have hindered the comprehensive study of invasive non-enhancing
(NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present …
(NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present …
Radiomics and radiogenomics in pediatric neuro-oncology: a review
The current era of advanced computing has allowed for the development and
implementation of the field of radiomics. In pediatric neuro-oncology, radiomics has been …
implementation of the field of radiomics. In pediatric neuro-oncology, radiomics has been …
FDA-approved machine learning algorithms in neuroradiology: a systematic review of the current evidence for approval
AG Yearley, CMW Goedmakers, A Panahi… - Artificial Intelligence in …, 2023 - Elsevier
Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …
increasingly prevalent in the medical field. In the United States, the Food and Drug …
An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients
Imaging is central to the clinical surveillance of brain tumors yet it provides limited insight
into a tumor's underlying biology. Machine learning and other mathematical modeling …
into a tumor's underlying biology. Machine learning and other mathematical modeling …
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
Background and objective Glioblastoma (GBM) is one of the most aggressive and lethal
human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for …
human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for …
Advanced MRI protocols to discriminate glioma from treatment effects: state of the art and future directions
In the follow-up treatment of high-grade gliomas (HGGs), differentiating true tumor
progression from treatment-related effects, such as pseudoprogression and radiation …
progression from treatment-related effects, such as pseudoprogression and radiation …
Deep learning characterization of brain tumours with diffusion weighted imaging
Glioblastoma multiforme (GBM) is one of the most deadly forms of cancer. Methods of
characterizing these tumours are valuable for improving predictions of their progression and …
characterizing these tumours are valuable for improving predictions of their progression and …
Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype
Purpose To develop and validate a dynamic contrast-enhanced (DCE) MRI-based radiomics
model to predict epidermal growth factor receptor (EGFR) amplification in patients with …
model to predict epidermal growth factor receptor (EGFR) amplification in patients with …
Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol
Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain
tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging …
tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging …