Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to …

L Fournier, L Costaridou, L Bidaut, N Michoux… - European …, 2021 - Springer
Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue
characteristics and follow a well-understood path of technical, biological and clinical …

MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability

RWY Granzier, NMH Verbakel, A Ibrahim… - scientific reports, 2020 - nature.com
Radiomics is an emerging field using the extraction of quantitative features from medical
images for tissue characterization. While MRI-based radiomics is still at an early stage, it …

[HTML][HTML] Radiomics and machine learning applications in rectal cancer: current update and future perspectives

A Stanzione, F Verde, V Romeo… - World Journal of …, 2021 - ncbi.nlm.nih.gov
The high incidence of rectal cancer in both sexes makes it one of the most common tumors,
with significant morbidity and mortality rates. To define the best treatment option and …

Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer

Q Pei, X Yi, C Chen, P Pang, Y Fu, G Lei, C Chen… - European …, 2022 - Springer
Objectives Stratification of microsatellite instability (MSI) status in patients with colorectal
cancer (CRC) improves clinical decision-making for cancer treatment. The present study …

[HTML][HTML] 3D DCE-MRI radiomic analysis for malignant lesion prediction in breast cancer patients

C Militello, L Rundo, M Dimarco, A Orlando, R Woitek… - Academic …, 2022 - Elsevier
Rationale and Objectives To develop and validate a radiomic model, with radiomic features
extracted from breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE …

Harmonization strategies in multicenter MRI-based radiomics

E Stamoulou, C Spanakis, GC Manikis, G Karanasiou… - Journal of …, 2022 - mdpi.com
Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …

Whole‐volume tumor MRI radiomics for prognostic modeling in endometrial cancer

KE Fasmer, E Hodneland, JA Dybvik… - Journal of Magnetic …, 2021 - Wiley Online Library
Background In endometrial cancer (EC), preoperative pelvic MRI is recommended for local
staging, while final tumor stage and grade are established by surgery and pathology. MRI …

Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development

G Chiloiro, D Cusumano, P de Franco, J Lenkowicz… - La radiologia …, 2022 - Springer
Purpose Our study investigated the contribution that the application of radiomics analysis on
post-treatment magnetic resonance imaging can add to the assessments performed by an …

A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation

J Zhong, Y Hu, L Si, G Jia, Y Xing, H Zhang, W Yao - European radiology, 2021 - Springer
Objectives To assess the methodological quality and risk of bias in radiomics studies
investigating diagnosis, therapy response, and survival of patients with osteosarcoma …

Radiomics and machine learning with multiparametric breast MRI for improved diagnostic accuracy in breast cancer diagnosis

I Daimiel Naranjo, P Gibbs, JS Reiner, R Lo Gullo… - Diagnostics, 2021 - mdpi.com
The purpose of this multicenter retrospective study was to evaluate radiomics analysis
coupled with machine learning (ML) of dynamic contrast-enhanced (DCE) and diffusion …