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Congress: ECR25
Poster Number: C-11701
Type: Poster: EPOS Radiologist (educational)
DOI: 10.26044/ecr2025/C-11701
Authorblock: J. Rodríguez-Loeches, E. García Santana; Las Palmas de Gran Canarias/ES
Disclosures:
Jessica Rodríguez-Loeches: Nothing to disclose
Ernesto García Santana: Nothing to disclose
Keywords: Abdomen, Kidney, Urinary Tract / Bladder, CT, MR, Education, Imaging sequences, Cancer, Education and training, Pathology
Learning objectives Until now, preoperative staging of solid renal tumors was performed by percutaneous biopsy. Recently, research teams have demonstrated the potential interest of imaging to non-invasively characterize different subtypes of renal tumors.Specifically, in this paper we will discuss how computed tomography (CT) with dynamic contarste and multiparametric magnetic resonance imaging (mpMRI) are used for this purpose.
Read more Background We will break down several points, starting by reviewing histological aspects of renal masses and their radiological correlation, as well as their most distinctive radiological features to be able to distinguish them from each other.Finally, we will present diagnostic algorithms for both CT and MRI in order to summarize and consolidate all the knowledge.
Read more Findings and procedure details To characterize both malignant and benign renal masses by CT and MRI, it is necessary to use dynamic studies after contrast administration and to apply different protocols and sequences [6,7].In CT studies there is a great variety of protocols for the evaluation of renal masses, although there are 3 mandatory phases that should not be omitted, which are: the basal phase, the cortico-medullary phase and the nephrographic phase. The following table summarizes the types of phases that exist, their acquisition...
Read more Conclusion CT and MRI studies are essential for the detection, noninvasive characterization, treatment planning and post-treatment surveillance of renal masses.Optimized CT and MRI imaging protocols can complement each other and allow analysis of image characteristics, their differential diagnosis, and the application of important diagnostic algorithms to predict the risk of clear cell renal disease.
Read more References [1]Kay, F. U., Canvasser, N. E., Xi, Y., Pinho, D. F., Costa, D. N., Diaz de Leon, A., Khatri, G., Leyendecker, J. R., Yokoo, T., Lay, A. H., Kavoussi, N., Koseoglu, E., Cadeddu, J. A., & Pedrosa, I. (2018). Diagnostic performance and interreader agreement of a standardized MR imaging approach in the prediction of small renal mass histology. Radiology, 287(2), 543–553. https://doi.org/10.1148/radiol.2018171557.[2]Cornelis, F., & Grenier, N. (2017). Multiparametric magnetic resonance imaging of solid renal tumors: A practical algorithm. Seminars in Ultrasound,...
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