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 …
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 …
Radiogenomics: bridging imaging and genomics
From diagnostics to prognosis to response prediction, new applications for radiomics are
rapidly being developed. One of the fastest evolving branches involves linking imaging …
rapidly being developed. One of the fastest evolving branches involves linking imaging …
[HTML][HTML] Tracking tumor biology with radiomics: a systematic review utilizing a radiomics quality score
S Sanduleanu, HC Woodruff, EEC De Jong… - Radiotherapy and …, 2018 - Elsevier
Introduction: In this review we describe recent developments in the field of radiomics along
with current relevant literature linking it to tumor biology. We furthermore explore the …
with current relevant literature linking it to tumor biology. We furthermore explore the …
Quantitative imaging of cancer in the postgenomic era: Radio (geno) mics, deep learning, and habitats
Although cancer often is referred to as “a disease of the genes,” it is indisputable that the
(epi) genetic properties of individual cancer cells are highly variable, even within the same …
(epi) genetic properties of individual cancer cells are highly variable, even within the same …
Background, current role, and potential applications of radiogenomics
K Pinker, F Shitano, E Sala, RK Do… - Journal of Magnetic …, 2018 - Wiley Online Library
With the genomic revolution in the early 1990s, medical research has been driven to study
the basis of human disease on a genomic level and to devise precise cancer therapies …
the basis of human disease on a genomic level and to devise precise cancer therapies …
Combining molecular and imaging metrics in cancer: radiogenomics
Background Radiogenomics is the extension of radiomics through the combination of
genetic and radiomic data. Because genetic testing remains expensive, invasive, and time …
genetic and radiomic data. Because genetic testing remains expensive, invasive, and time …
The application of radiomics in predicting gene mutations in cancer
Y Qi, T Zhao, M Han - European radiology, 2022 - Springer
With the development of genome sequencing, the role of molecular targeted therapy in
cancer is becoming increasingly important. However, genetic testing remains expensive …
cancer is becoming increasingly important. However, genetic testing remains expensive …
Radiomics signature: a potential biomarker for the prediction of MGMT promoter methylation in glioblastoma
Background In glioblastoma (GBM), promoter methylation of the DNA repair gene O‐
methylguanine‐DNA methyltransferase (MGMT) is associated with beneficial chemotherapy …
methylguanine‐DNA methyltransferase (MGMT) is associated with beneficial chemotherapy …
Radiomics in radiooncology–challenging the medical physicist
Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to
medical image analysis this paper emphasizes the future role of the medical physicist in this …
medical image analysis this paper emphasizes the future role of the medical physicist in this …