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 …

Criteria for the translation of radiomics into clinically useful tests

EP Huang, JPB O'Connor, LM McShane… - Nature reviews Clinical …, 2023 - nature.com
Computer-extracted tumour characteristics have been incorporated into medical imaging
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …

Introduction to radiomics

ME Mayerhoefer, A Materka, G Langs… - Journal of Nuclear …, 2020 - Soc Nuclear Med
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative
metrics—the so-called radiomic features—within medical images. Radiomic features capture …

Machine and deep learning methods for radiomics

M Avanzo, L Wei, J Stancanello, M Vallieres… - Medical …, 2020 - Wiley Online Library
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 …

LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity

C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi… - Cancer research, 2018 - AACR
Textural and shape analysis is gaining considerable interest in medical imaging, particularly
to identify parameters characterizing tumor heterogeneity and to feed radiomic models …

Radiomics: the bridge between medical imaging and personalized medicine

P Lambin, RTH Leijenaar, TM Deist… - Nature reviews Clinical …, 2017 - nature.com
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 …

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective …

R Sun, EJ Limkin, M Vakalopoulou, L Dercle… - The Lancet …, 2018 - thelancet.com
Background Because responses of patients with cancer to immunotherapy can vary in
success, innovative predictors of response to treatment are urgently needed to improve …

Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics

A Carré, G Klausner, M Edjlali, M Lerousseau… - Scientific reports, 2020 - nature.com
Radiomics relies on the extraction of a wide variety of quantitative image-based features to
provide decision support. Magnetic resonance imaging (MRI) contributes to the …

Applications and limitations of radiomics

SSF Yip, HJWL Aerts - Physics in Medicine & Biology, 2016 - iopscience.iop.org
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …

[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

EJ Limkin, R Sun, L Dercle, EI Zacharaki, C Robert… - Annals of …, 2017 - Elsevier
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …