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 …

[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges

Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou… - Theranostics, 2019 - ncbi.nlm.nih.gov
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

[HTML][HTML] Repeatability and reproducibility of radiomic features: a systematic review

A Traverso, L Wee, A Dekker, R Gillies - International Journal of Radiation …, 2018 - Elsevier
Purpose An ever-growing number of predictive models used to inform clinical decision
making have included quantitative, computer-extracted imaging biomarkers, or “radiomic …

Fusion-based tensor radiomics using reproducible features: application to survival prediction in head and neck cancer

MR Salmanpour, M Hosseinzadeh, SM Rezaeijo… - Computer Methods and …, 2023 - Elsevier
Background Numerous features are commonly generated in radiomics applications as
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

M Shafiq‐ul‐Hassan, GG Zhang, K Latifi… - Medical …, 2017 - Wiley Online Library
Purpose Many radiomics features were originally developed for non‐medical imaging
applications and therefore original assumptions may need to be reexamined. In this study …

Beyond imaging: the promise of radiomics

M Avanzo, J Stancanello, I El Naqa - Physica Medica, 2017 - Elsevier
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 …

Radiomics and deep learning in lung cancer

M Avanzo, J Stancanello, G Pirrone… - Strahlentherapie und …, 2020 - Springer
Lung malignancies have been extensively characterized through radiomics and deep
learning. By providing a three-dimensional characterization of the lesion, models based on …

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 …

Characterization of PET/CT images using texture analysis: the past, the present… any future?

M Hatt, F Tixier, L Pierce, PE Kinahan… - European journal of …, 2017 - Springer
After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …

Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures

RTHM Larue, G Defraene… - The British journal of …, 2017 - academic.oup.com
Quantitative analysis of tumour characteristics based on medical imaging is an emerging
field of research. In recent years, quantitative imaging features derived from CT, positron …