[HTML][HTML] Radiomics in medical imaging—“how-to” guide and critical reflection
JE Van Timmeren, D Cester, S Tanadini-Lang… - Insights into …, 2020 - Springer
Radiomics is a quantitative approach to medical imaging, which aims at enhancing the
existing data available to clinicians by means of advanced mathematical analysis. Through …
existing data available to clinicians by means of advanced mathematical analysis. Through …
Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
Radiomics: the bridge between medical imaging and personalized medicine
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …
medical imaging that enables data to be extracted and applied within clinical-decision …
[HTML][HTML] Deep learning for lung cancer prognostication: a retrospective multi-cohort radiomics study
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 …
courses and outcomes, even within the same tumor stage. This study explores deep …
Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner Society 2017
The Fleischner Society Guidelines for management of solid nodules were published in
2005, and separate guidelines for subsolid nodules were issued in 2013. Since then, new …
2005, and separate guidelines for subsolid nodules were issued in 2013. Since then, new …
Monitoring immune-checkpoint blockade: response evaluation and biomarker development
M Nishino, NH Ramaiya, H Hatabu… - Nature reviews Clinical …, 2017 - nature.com
Cancer immunotherapy using immune-checkpoint blockade (ICB) has created a paradigm
shift in the treatment of advanced-stage cancers. The promising antitumour activity of …
shift in the treatment of advanced-stage cancers. The promising antitumour activity of …
[PDF][PDF] Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives
Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for developing and testing medical hypotheses …
predictive purposes, is a powerful tool for developing and testing medical hypotheses …
The potential of radiomic-based phenotyping in precision medicine: a review
HJWL Aerts - JAMA oncology, 2016 - jamanetwork.com
Importance Advances in genomics have led to the recognition that tumors are populated by
distinct genotypic subgroups that drive tumor development and progression. The spatial and …
distinct genotypic subgroups that drive tumor development and progression. The spatial and …
[HTML][HTML] Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …
Beyond imaging: the promise of radiomics
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …
and association with biological or clinical endpoints. The purpose of the present study is to …