Medical image segmentation is a critical component in clinical practice, facilitating accurate
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …

Simple Summary Non-invasive characterization of adrenal lesions requires a rigorous
approach. Although CT is the cornerstone of adrenal lesion characterization, a multimodality …

In the elective field of adrenal imaging, artificial intelligence (AI) can be used for adrenal
lesion detection, characterization, hypersecreting syndrome management and patient follow …

In this study, we aimed to systematically review the current literature on radiomics applied to
cross-sectional adrenal imaging and assess its methodological quality. Scopus, PubMed …

We performed the present study to investigate the role of computed tomography (CT)
radiomics in differentiating nonfunctional adenoma and aldosterone-producing adenoma …

Determination of body composition (the relative distribution of fat, muscle, and bone) has
been used effectively to assess the risk of progression and overall clinical outcomes in …

Objective Clinical evidence suggests that the response to immune checkpoint blockade
depends on the immune status in the tumor microenvironment. This study aims to predict the …

Adrenocortical carcinoma (ACC) is a rare cancer with an estimated incidence of 0.7 to 2.0
cases per 1 million population per year in the United States. It is an aggressive cancer …

Simple Summary In this systematic review, we aim to highlight existing literature devoted to
the study of an association between medical imaging radiomics and cancer biological …

Objectives Conventional MRI may not be ideal for predicting cervical spondylotic
myelopathy (CSM) prognosis. In this study, we used radiomics in predicting postoperative …