https://doi.org/10.4081/aiua.2022.1.1

Predictive features of pre-operative computed tomography and magnetic resonance imaging for advanced disease in renal cell carcinoma

Vol. 94 No. 1 (2022)
Submitted: December 9, 2021
Accepted: January 18, 2022
Published: March 28, 2022
Renal cell carcinoma, Magnetic Resonance Imaging, Computed tomography, Predictive features
Abstract Views: 1320
PDF: 506
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Authors

Musab Ali Kutluhan
Department of Urology, Yildirim Beyazit University, School of Medicine, Ankara, Turkey.
Selman Ünal
drselmanunal@gmail.com
https://orcid.org/0000-0002-9000-304X
Department of Urology, Yildirim Beyazit University, School of Medicine, Ankara, Turkey.
Serhan Eren
Department of Radiology, University of Health Sciences, Etlik Zubeyde Hanım Research and Training Hospital, Ankara, Turkey.
Asim Ozayar
Department of Urology, Yildirim Beyazit University, School of Medicine, Ankara, Turkey.
Emrah Okulu
Department of Urology, Yildirim Beyazit University, School of Medicine, Ankara, Turkey.
Huseyin Cetin
Department of Radiology, Ankara Yildirim Beyazit University School of Medicine, Ankara, Turkey.
Onder Kayigil
Department of Urology, Yildirim Beyazit University, School of Medicine, Ankara, Turkey.

Objective: We evaluated predictive features of pre-operative computed tomography and magnetic resonance imaging for advanced disease in renal cell carcinoma.
Materials and methods: 92 patients with pathologically confirmed diagnosis of renal cell carcinoma were included in our study. Patients were divided into two groups according to preoperative imaging as computed tomography (CT) (55 patients) and magnetic resonance imaging (MRI) (37 patients). Within the imaging groups, the patients were divided into two groups according to pathological tumor stage: 1-2 (pT1-2) versus ≥ pT3a. It was evaluated whether there was a difference between the two groups in terms of the presence of pre-operative imaging (CT and MRI) features. Predictive value of these features for ≥ pT3a disease was evaluated both for CT and MRI.
Results: The cut-off value for the Gerota’s fascia thickness in predicting ≥ pT3a disease was calculated as 0.205 cm. Positive predictive value (PPV) for Gerota's fascia thickness was 52.4% (31.0-73.7) and 66.7% (40.0-93.3) for CT and MRI respectively. The PPV value for renal capsule invasion was 75.0% (53.8-96.2) and 90.0% (71.4-108.6) for CT and MRI respectively. PPV of perirenal fat invasion for CT and MRI was 69.2% (44.1-94.3) and 81.8% (59.0-104.6) respectively.
Conclusion: Renal capsular invasion and perirenal fat invasion are reliable signs for locally advanced (≥ pT3a) renal cell carcinoma both in CT and MRI. Gerota’s fascia thickness has relatively low PPV value for prediction of locally advanced disease. Presence of enlarged collateral vessels, tumor necrosis, perinephric stranding are not reliable signs. For all predictors MRI seems more reliable than CT.

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How to Cite

Kutluhan, M. A. ., Ünal, S., Eren, S., Ozayar, A., Okulu, E., Cetin, H., & Kayigil, O. (2022). Predictive features of pre-operative computed tomography and magnetic resonance imaging for advanced disease in renal cell carcinoma. Archivio Italiano Di Urologia E Andrologia, 94(1), 1–6. https://doi.org/10.4081/aiua.2022.1.1

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