Renal cell carcinoma is a heterogenous cancer composed of an increasing number of
unique subtypes each with their own cellular and tumor behavior. The study of hereditary …

Radiomics integrated with artificial intelligence offers a pioneering approach to urologic
oncology, ushering in an era of enhanced diagnostic precision and reduced invasiveness …

Simple Summary Prostate mpMRI is currently the most widely used image diagnosis
approach to detect prostate cancer, while the PI-RADS system was developed to …

Introduction Classification of clear cell renal cell carcinoma (ccRCC) growth rates in patients
with Von Hippel–Lindau (VHL) syndrome has several ramifications for tumor monitoring and …

Future challenges, besides developing prospective and validated studies, include
automated segmentation using artificial intelligence deep learning networks and hybrid …

Abstract Background The von Hippel-Lindau disease (VHL) is a hereditary cancer syndrome
with multifocal, bilateral cysts and solid tumors of the kidney. Surgical management may …

Background The population diagnosed with renal cell carcinoma, especially in Asia,
represents 36.6% of global cases, with the incidence rate of renal cell carcinoma in Korea …

Background Pathology grading is an essential step for the treatment and evaluation of the
prognosis in patients with clear cell renal cell carcinoma (ccRCC). Purpose To investigate …

Radiogenomics, a burgeoning field in biomedical research, explores the correlation
between imaging features and genomic data, aiming to link macroscopic manifestations with …

With a high rate of morbidity and mortality, colorectal cancer (CRC) ranks third in mortality
among cancers. By analyzing the texture properties of images and quantifying the …