Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …

Radiomics extracts and mines large number of medical imaging features quantifying tumor
phenotypic characteristics. Highly accurate and reliable machine-learning approaches can …

Tumor hypoxia is a common microenvironmental factor that adversely influences tumor
phenotype and treatment response. Cellular adaptation to hypoxia occurs through multiple …

Radiotherapy, an important treatment modality in oncology, kills cells through induction of
oxidative stress. However, malignant tumors vary in their response to irradiation as a …

Radiomics provides a comprehensive quantification of tumor phenotypes by extracting and
mining large number of quantitative image features. To reduce the redundancy and compare …

Background Non-small-cell lung cancer (NSCLC) patients often demonstrate varying
clinical courses and outcomes, even within the same tumor stage. This study explores deep …

Hypoxia is associated with tumor aggressiveness and is an important cause of resistance to
radiation treatment. Assays of tumor hypoxia could provide selection tools for hypoxia-…

Activation of the phosphatidylinositol-3-kinase (PI3-K)/protein kinase B (AKT) pathway is
associated with three major radioresistance mechanisms: intrinsic radioresistance; tumour-cell …

Background Radiomics can quantify tumor phenotypic characteristics non-invasively by
applying feature algorithms to medical imaging data. In this study of lung cancer patients, we …

Purpose: Target delineation using only CT information introduces large geometric uncertainties
in radiotherapy for lung cancer. Therefore, a reduction of the delineation variability is …