The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has
given rise to the prominence of the tumor microenvironment (TME) as a critical area of …

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 …

Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …

Objective To systematically review radiomic feature reproducibility and model validation
strategies in recent studies dealing with CT and MRI radiomics of bone and soft-tissue …

Our objective was to capture subgroups of soft-tissue sarcoma (STS) using handcraft and
deep radiomics approaches to understand their relationship with histopathology, gene …

Background The predictive efficacy of current biomarker of immune checkpoint inhibitors
(ICIs) is not sufficient. This study investigated the causality between radiomic biomarkers …

Highlights What are the main findings? Both the model utilizing edema-related features and
the model utilizing mass-related features demonstrated promising results in predicting the …

Aims This study aims to assess whether consensus clustering, based on computed
tomography (CT) radiomics from both intratumoral and peritumoral regions, can effectively …

Abstract Introduction Soft tissue sarcomas (STSs) are rare malignancies. Pre-therapeutic
tumour grading and assessment are crucial in making treatment decisions. Radiomics is a …

Desmoid-type fibromatosis (DF), a subgroup of rare mesenchymal tumors, constitutes
around 0.03% of all diagnosed malignant tumors, most commonly affecting young women [1 …