Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated
with several challenges, including incorrect or late diagnosis, the lack of clinical expertise …

This article proposes a summary of the current status of the research regarding the use of
radiomics and artificial intelligence to improve the radiological assessment of patients with …

Purpose In high-grade soft-tissue sarcomas (STS) the standard of care encompasses
multimodal therapy regimens. While there is a growing body of evidence for prognostic …

Simple Summary In soft-tissue sarcoma (STS) patients, the decision for the optimal treatment
modality largely depends on STS size, location, and a pathological measure that assesses …

Objectives Sarcomas are a model for intra-and inter-tumoral heterogeneities making them
particularly suitable for radiomics analyses. Our purposes were to review the aims, methods …

Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs
before any quantitative analysis because signal intensities (SI) do not have standardized …

Background Feature reproducibility and model validation are two main challenges of
radiomics. This study aims to systematically review radiomic feature reproducibility and …

Objectives Radiomics of soft tissue sarcomas (STS) is assumed to correlate with histologic
and molecular tumor features, but radiogenomics analyses are lacking. Our aim was to …

Purpose To develop and validate a multiparametric magnetic resonance imaging-based
radiomics nomogram for differentiating malignant and benign soft-tissue tumors. Methods A …

Objectives: To determine whether radiomics data can predict local tumor progression (LTP)
following radiofrequency ablation (RFA) of colorectal cancer (CRC) lung metastases on the …