CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer

E Huynh, TP Coroller, V Narayan, V Agrawal… - Radiotherapy and …, 2016 - Elsevier
… The aim of the current study is to apply an exploratory CT-based radiomics analysis to
investigate imaging biomarkers of clinical outcomes in SBRT patients from pre-treatment images. …

[HTML][HTML] Predicting survival time of lung cancer patients using radiomic analysis

A Chaddad, C Desrosiers, M Toews, B Abdulkarim - Oncotarget, 2017 - ncbi.nlm.nih.gov
… In contrast to these works, this study analyzed the link between radiomic features and survival
for specific NSCLC cancer subtypes and stages. Our results suggest that radiomic features …

Radiomic analysis of CT predicts tumor response in human lung cancer with radiotherapy

M Yan, W Wang - Journal of Digital Imaging, 2020 - Springer
… that radiomic features have a mathematical relationship with tumor response, which can be
predicted by a proper model of radiomics. … from CT images and made a radiomics analysis. …

Development and clinical application of radiomics in lung cancer

B Chen, R Zhang, Y Gan, L Yang, W Li - Radiation oncology, 2017 - Springer
… in lung cancer to demonstrate the potential role of radiomics. The first comprehensive application
of radiomics in lung cancer … that radiomics analysis will improve the routine lung cancer

Detection and analysis of lung cancer using radiomic approach

Shallu, P Nanglia, S Kumar, AK Luhach - Smart Computational Strategies …, 2019 - Springer
… The prominent types of lung cancers are explained here along with their database details. …
, the radiomic approach is proposed for the process of detection and analysis of lung cancer

[HTML][HTML] Radiomics of pulmonary nodules and lung cancer

R Wilson, A Devaraj - Translational lung cancer research, 2017 - ncbi.nlm.nih.gov
… of radiomics and outlines why radiomic feature analysis may … In the setting of lung nodules
and lung cancer, radiomics is … that the risk of lung cancer increases exponentially with nodule …

Radiomics applied to lung cancer: a review

M Scrivener, EEC de Jong… - Translational Cancer …, 2016 - tcr.amegroups.org
… www.radiomics.org ). Here, we review the literature related to radiomics for lung cancer. We
found … tomography (CT) radiomics, 3 to radiomics or texture analysis with positron emission …

Radiomics-based prognosis analysis for non-small cell lung cancer

Y Zhang, A Oikonomou, A Wong, MA Haider… - Scientific reports, 2017 - nature.com
radiomics-based prognostic model can be optimized. Moreover, these studies focus on survival
analysis using univariate or multivariate analysis … large radiomics feature set is analyzed

Radiomics analysis of pulmonary nodules in low‐dose CT for early detection of lung cancer

W Choi, JH Oh, S Riyahi, CJ Liu, F Jiang… - Medical …, 2018 - Wiley Online Library
… following image analysis pipeline … radiomic features from each PN to quantify its intensity,
shape, and texture (spatial variations).23, 27, 41 Finally, we performed a univariate analysis

Defining the biological basis of radiomic phenotypes in lung cancer

P Grossmann, O Stringfield, N El-Hachem, MM Bui… - elife, 2017 - elifesciences.org
… Here, we present a broad radiomic-genomic analysis in independent and large cohorts of
patients with lung cancer. We rigorously investigated the mechanistic connections between …