Radiomics: the facts and the challenges of image analysis

S Rizzo, F Botta, S Raimondi, D Origgi… - European radiology …, 2018 - Springer
Radiomics is an emerging translational field of research aiming to extract mineable high-
dimensional data from clinical images. The radiomic process can be divided into distinct …

Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

A Zwanenburg - European journal of nuclear medicine and molecular …, 2019 - Springer
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …

Validation of a method to compensate multicenter effects affecting CT radiomics

F Orlhac, F Frouin, C Nioche, N Ayache, I Buvat - Radiology, 2019 - pubs.rsna.org
Background Radiomics extracts features from medical images more precisely and more
accurately than visual assessment. However, radiomics features are affected by CT scanner …

[HTML][HTML] Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review

C Xue, J Yuan, GG Lo, ATY Chang… - … imaging in medicine …, 2021 - ncbi.nlm.nih.gov
Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …

Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to …

L Fournier, L Costaridou, L Bidaut, N Michoux… - European …, 2021 - Springer
Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue
characteristics and follow a well-understood path of technical, biological and clinical …

Next-generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning …

I Shiri, H Maleki, G Hajianfar, H Abdollahi… - Molecular imaging and …, 2020 - Springer
Purpose Considerable progress has been made in the assessment and management of non-
small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth …

[PDF][PDF] Radiomics in PET imaging: a practical guide for newcomers

F Orlhac, C Nioche, I Klyuzhin, A Rahmim, I Buvat - PET clinics, 2021 - Elsevier
Radiomic analysis of PET images is a promising approach to extract subtler information and
continuously evolves with advances in artificial intelligence. Using deep-learning methods …

[PDF][PDF] THE MODERN TECHNOLOGY OF RADIATION ONCOLOGY: A Compendium for Medical Physicists and Radiation Oncologists. Volume 4

J Van Dyk - Medical Physics, 2020 - mpijournal.org
THE MODERN TECHNOLOGY OF RADIATION ONCOLOGY: A Compendium for Medical
Physicists and Radiation Oncologists. Volume 4 Page 1 THE MODERN TECHNOLOGY OF …

Artificial intelligence in medical imaging: a radiomic guide to precision phenotyping of cardiovascular disease

EK Oikonomou, M Siddique… - Cardiovascular …, 2020 - academic.oup.com
Rapid technological advances in non-invasive imaging, coupled with the availability of large
data sets and the expansion of computational models and power, have revolutionized the …

Radiomics: the next frontier of cardiac computed tomography

P Xu, Y Xue, UJ Schoepf, A Varga-Szemes… - Circulation …, 2021 - Am Heart Assoc
Radiomics uses advanced image analysis to extract massive amounts of quantitative
information from digital images, which is not otherwise distinguishable to the human eye …