A A Comparison of Effectiveness of the Contrast Enhanced Computed Tomogra-phy with Magnetic Resonance Imaging in the Differential Diagnosis of Clear Cell Renal Carcinoma
CECT vs MRI and indeterminate renal masses
Abstract
Introduction: The incidental detection of indeterminate small renal masses (SRMs) has been rising continuously over the last few decades. The aim of our study was to assess selected contrast enhanced computed tomography (CECT) parameters in the characterization of indeterminate SRMs and compare them with selected magnetic resonance imaging (MRI) data.
Methods: Patients with indeterminate SRMs discovered on CECT were included in the study. Selected CECT features have been analyzed as differentiating between clear cell renal cell carcinoma (ccRCC) and other etiologies of SRMs. In 82% of patients, which had available MRI data, a comparison between selected MRI and CECT parameters were performed.
Results: Relative washout in CECT had the best accuracy (76.5%), sensitivity (88.9%), as well as satisfactory specificity (69.7%) in ccRCC prediction. The cut-off point determined in receiver operating analysis using the Youden index for this parameter was 11.54. Multivariable analysis showed that only T1 SI ratio < 0.73 from MRI parameters and relative washout > 11.5 from CECT parameters were independent predictors of ccRCC (OR:30.86, 95%CI:1.58-600.26, p=0.024; OR:15.36, 95%CI:1.52-155.16, p=0.021).
Conclusions: In clinical practice, the use of both CECT and MRI indicators, especially T1 SI ratio < 0.73 for MRI and relative washout > 11.5 for CECT, can support physicians in diagnosing and treating patients effectively.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Tomasz Blachura, Julia Radzikowska, Patrycja Matusik, Aleksander Kowal, Jarosław Jarczewski, Łukasz Skiba, Tadeusz Popiela, Robert Chrzan

This work is licensed under a Creative Commons Attribution 4.0 International License.
License to Publish
Please read the terms of this agreement, print, initial page 1, sign page 3, scan and send the document as one file attached to an e-mail to gsersa@onko-i.si