Background Radiomics can provide quantitative features from medical imaging that can be
correlated with various biological features and clinical endpoints. Delta radiomics, on the …

The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …

Purpose To assess the efficacy of radiomics features obtained by T2-weighted sequences to
predict clinical outcomes following liver resection in colorectal liver metastases patients …

Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …

Prediction of outcome in patients with colorectal cancer (CRC) is challenging as a result of
lack of a robust biomarker and heterogeneity between and within tumors. The aim of this …

Simple Summary Patients with liver metastases can be scheduled for different therapies (eg,
chemotherapy, surgery, radiotherapy, and ablation). The choice of the most appropriate …

Simple Summary The objective of the study was to assess the radiomic features obtained by
computed tomography (CT) examination as prognostic biomarkers in patients with colorectal …

Simple Summary The objective of the study was to evaluate the radiomics features obtained
by contrast MRI studies as prognostic biomarkers in colorectal liver metastases patients to …

The evaluation of the efficacy of different therapies is of paramount importance for the
patients and the clinicians in oncology, and it is usually possible by performing imaging …

Purpose Our primary purpose was to search for computed tomography (CT) radiomic
features of gastrointestinal stromal tumors (GISTs) that could potentially correlate with the …