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 …

[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

Radiomics in breast cancer classification and prediction

A Conti, A Duggento, I Indovina, M Guerrisi… - Seminars in cancer …, 2021 - Elsevier
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …

Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics

YS Choi, S Bae, JH Chang, SG Kang, SH Kim… - Neuro …, 2021 - academic.oup.com
Background Glioma prognosis depends on isocitrate dehydrogenase (IDH) mutation status.
We aimed to predict the IDH status of gliomas from preoperative MR images using a fully …

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

B Kocak, T Akinci D'Antonoli, N Mercaldo… - Insights into …, 2024 - Springer
Purpose To propose a new quality scoring tool, METhodological RadiomICs Score
(METRICS), to assess and improve research quality of radiomics studies. Methods We …

Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know

MW Wagner, K Namdar, A Biswas, S Monah, F Khalvati… - Neuroradiology, 2021 - Springer
Purpose Artificial intelligence (AI) is playing an ever-increasing role in Neuroradiology.
Methods When designing AI-based research in neuroradiology and appreciating the …

Harmonization strategies for multicenter radiomics investigations

R Da-Ano, D Visvikis, M Hatt - Physics in Medicine & Biology, 2020 - iopscience.iop.org
Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …

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 …

[HTML][HTML] A review of original articles published in the emerging field of radiomics

J Song, Y Yin, H Wang, Z Chang, Z Liu, L Cui - European journal of …, 2020 - Elsevier
Purpose To determine the characteristics of and trends in research in the emerging field of
radiomics through bibliometric and hotspot analyses of relevant original articles published …

Radiomic analysis: study design, statistical analysis, and other bias mitigation strategies

CS Moskowitz, ML Welch, MA Jacobs, BF Kurland… - Radiology, 2022 - pubs.rsna.org
Rapid advances in automated methods for extracting large numbers of quantitative features
from medical images have led to tremendous growth of publications reporting on radiomic …