Radiomics in glioblastoma: current status and challenges facing clinical implementation
Radiomics analysis has had remarkable progress along with advances in medical imaging,
most notability in central nervous system malignancies. Radiomics refers to the extraction of …
most notability in central nervous system malignancies. Radiomics refers to the extraction of …
Imaging signatures of glioblastoma molecular characteristics: a radiogenomics review
Over the past few decades, the advent and development of genomic assessment methods
and computational approaches have raised the hopes for identifying therapeutic targets that …
and computational approaches have raised the hopes for identifying therapeutic targets that …
Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma
Pseudoprogression (PsP) is a diagnostic clinical dilemma in cancer. In this study, we
retrospectively analyse glioblastoma patients, and using their dynamic susceptibility contrast …
retrospectively analyse glioblastoma patients, and using their dynamic susceptibility contrast …
A deep look into the future of quantitative imaging in oncology: a statement of working principles and proposal for change
The adoption of enterprise digital imaging, along with the development of quantitative
imaging methods and the re-emergence of statistical learning, has opened the opportunity …
imaging methods and the re-emergence of statistical learning, has opened the opportunity …
Molecular and cellular complexity of glioma. Focus on tumour microenvironment and the use of molecular and imaging biomarkers to overcome treatment resistance
This review highlights the importance and the complexity of tumour biology and
microenvironment in the progression and therapy resistance of glioma. Specific gene …
microenvironment in the progression and therapy resistance of glioma. Specific gene …
Evolving role and translation of radiomics and radiogenomics in adult and pediatric neuro-oncology
Exponential technologic advancements in imaging, high-performance computing, and
artificial intelligence, in addition to increasing access to vast amounts of diverse data, have …
artificial intelligence, in addition to increasing access to vast amounts of diverse data, have …
Radiomic prediction models for the level of Ki-67 and p53 in glioma
X Sun, P Pang, L Lou, Q Feng… - Journal of …, 2020 - journals.sagepub.com
Objective To identify glioma radiomic features associated with proliferation-related Ki-67
antigen and cellular tumour antigen p53 levels, common immunohistochemical markers for …
antigen and cellular tumour antigen p53 levels, common immunohistochemical markers for …
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 the Growth of Glioblastoma Tumors Using Multimodal MRI Brain Images
Simple Summary Prediction of volume expected to be attained by a tumor of fourth grade
malignancy becomes difficult when problem is subject to changes in time or when there …
malignancy becomes difficult when problem is subject to changes in time or when there …
The role of imaging biomarkers derived from advanced imaging and radiomics in the management of brain tumors
Significant advances have been made in the realm of medical image analysis in the past few
decades, aimed at improving our understanding of the disease—how it develops, behaves …
decades, aimed at improving our understanding of the disease—how it develops, behaves …