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 …
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 …
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
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 …
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
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
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
Multicenter studies are needed to demonstrate the clinical potential value of radiomics as a
prognostic tool. However, variability in scanner models, acquisition protocols and …
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 …
an effort to reduce the diagnostic variability associated with a subjective manner of …
Radiomics feature robustness as measured using an MRI phantom
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 …
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
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 …
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
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 …
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
Radiomics of liver metastases: a systematic review
Simple Summary Patients with liver metastases can be scheduled for different therapies (eg,
chemotherapy, surgery, radiotherapy, and ablation). The choice of the most appropriate …
chemotherapy, surgery, radiotherapy, and ablation). The choice of the most appropriate …