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 …

A review in radiomics: making personalized medicine a reality via routine imaging

J Guiot, A Vaidyanathan, L Deprez… - Medicinal research …, 2022 - Wiley Online Library
Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods

SA Mali, A Ibrahim, HC Woodruff… - Journal of personalized …, 2021 - mdpi.com
Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

[HTML][HTML] Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

A Ibrahim, S Primakov, M Beuque, HC Woodruff… - Methods, 2021 - Elsevier
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies

R Da-Ano, I Masson, F Lucia, M Doré, P Robin… - Scientific reports, 2020 - nature.com
Multicenter studies are needed to demonstrate the clinical potential value of radiomics as a
prognostic tool. However, variability in scanner models, acquisition protocols and …

How to develop a meaningful radiomic signature for clinical use in oncologic patients

N Papanikolaou, C Matos, DM Koh - Cancer Imaging, 2020 - Springer
During the last decade, there is an increasing usage of quantitative methods in Radiology in
an effort to reduce the diagnostic variability associated with a subjective manner of …

Radiomics feature robustness as measured using an MRI phantom

J Lee, A Steinmann, Y Ding, H Lee, C Owens… - Scientific reports, 2021 - nature.com
Radiomics involves high-throughput extraction of large numbers of quantitative features from
medical images and analysis of these features to predict patients' outcome and support …

Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

C Haarburger, G Müller-Franzes, L Weninger, C Kuhl… - Scientific reports, 2020 - nature.com
Identifying image features that are robust with respect to segmentation variability is a tough
challenge in radiomics. So far, this problem has mainly been tackled in test–retest analyses …

Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence

A Hagiwara, S Fujita, Y Ohno, S Aoki - Investigative radiology, 2020 - journals.lww.com
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …

Radiomics of liver metastases: a systematic review

F Fiz, L Viganò, N Gennaro, G Costa, L La Bella… - Cancers, 2020 - mdpi.com
Simple Summary Patients with liver metastases can be scheduled for different therapies (eg,
chemotherapy, surgery, radiotherapy, and ablation). The choice of the most appropriate …