Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome
JPB O'Connor, CJ Rose, JC Waterton… - Clinical Cancer …, 2015 - AACR
Tumors exhibit genomic and phenotypic heterogeneity, which has prognostic significance
and may influence response to therapy. Imaging can quantify the spatial variation in …
and may influence response to therapy. Imaging can quantify the spatial variation in …
Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art
With the development of functional imaging modalities we now have the ability to study the
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …
[HTML][HTML] Perfusion and vascular permeability: basic concepts and measurement in DCE-CT and DCE-MRI
The microvascular network formed by the capillaries supplies the tissues and permits their
function. It provides a considerable surface area for exchanges between blood and tissues …
function. It provides a considerable surface area for exchanges between blood and tissues …
Radiogenomic signatures reveal multiscale intratumour heterogeneity associated with biological functions and survival in breast cancer
Advanced tumours are often heterogeneous, consisting of subclones with various genetic
alterations and functional roles. The precise molecular features that characterize the …
alterations and functional roles. The precise molecular features that characterize the …
Proteomic architecture of human coronary and aortic atherosclerosis
Backgound: The inability to detect premature atherosclerosis significantly hinders
implementation of personalized therapy to prevent coronary heart disease. A …
implementation of personalized therapy to prevent coronary heart disease. A …
Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular …
Objectives This study aimed to predict the molecular subtypes of breast cancer via
intratumoural and peritumoural radiomic analysis with subregion identification based on the …
intratumoural and peritumoural radiomic analysis with subregion identification based on the …
Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues
Tissue heterogeneity is both a major confounding factor and an underexploited information
source. While a handful of reports have demonstrated the potential of supervised …
source. While a handful of reports have demonstrated the potential of supervised …
[PDF][PDF] Robust near-separable nonnegative matrix factorization using linear optimization
Nonnegative matrix factorization (NMF) has been shown recently to be tractable under the
separability assumption, under which all the columns of the input data matrix belong to the …
separability assumption, under which all the columns of the input data matrix belong to the …
[HTML][HTML] NCI workshop report: clinical and computational requirements for correlating imaging phenotypes with genomics signatures
Abstract The National Cancer Institute (NCI) Cancer Imaging Program organized two related
workshops on June 26–27, 2013, entitled “Correlating Imaging Phenotypes with Genomics …
workshops on June 26–27, 2013, entitled “Correlating Imaging Phenotypes with Genomics …
UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples
We develop a novel unsupervised deconvolution method, within a well-grounded
mathematical framework, to dissect mixed gene expressions in heterogeneous tumor …
mathematical framework, to dissect mixed gene expressions in heterogeneous tumor …