Abstract

Radiomics is a collection of data and features obtained from medical imaging techniques. In this systematic review, various databases were comprehensively searched to understand the diagnostic role of radiomics in computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US) in renal tumors. All original human studies evaluating the diagnosis of renal tumors that used CT, MRI, or US imaging radiomics were included. The findings showed that many studies have been conducted on radiomics methods for the detection of benign and malignant renal tumors. The US demonstrated higher sensitivity and specificity compared to CT and MRI. It is crucial to conduct machine learning studies incorporating US and MR imaging techniques for more comprehensive diagnostic comparisons.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call