This review discusses potential oncologic and nononcologic applications of CT texture
analysis (CTTA CT texture analysis), an emerging area of “radiomics” that extracts, analyzes …

Context The incidental detection of localized renal masses has been rising steadily, but a
significant proportion of these tumors are benign or indolent and, in most cases, do not …

Radiomics and artificial intelligence (AI) may increase the differentiation of benign from
malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma …

Sarcomatoid dedifferentiation is an uncommon feature that can occur in most histological
subtypes of renal cell carcinomas (RCCs) and carries a decidedly poor prognosis …

In recent years, texture analysis of medical images has become increasingly popular in
studies investigating diagnosis, classification and treatment response assessment of …

Objectives We investigated the value of CT texture analysis (CTTA) in predicting prognosis
of unresectable pancreatic cancer. Methods Sixty patients with unresectable pancreatic …

Purpose To evaluate the utility of texture analysis for the differentiation of renal tumors,
including the various renal cell carcinoma subtypes and oncocytoma. Materials and …

Simple Summary Radiomics may answer questions where the conventional interpretation of
medical imaging has limitations. The aim of our systematic review and meta-analysis was to …

As our understanding has expanded that relatively large fraction of incidentally discovered
renal masses, especially in small size, are benign or indolent even if malignant, there is …

Background Texture analysis is a computer tool that enables quantification of gray-level
patterns, pixel interrelationships, and spectral properties of an image. It can enhance visual …