High-Resolution Multidetector CT in the Preoperative Evaluation of Patients with Renal Cell Carcinoma

Carlo Catalano, Francesco Fraioli(Sapienza University of Rome), Andrea Laghi(Sapienza University of Rome), Alessandro Napoli, Federica Pediconi, Massimiliano Danti(Sapienza University of Rome), Piergiorgio Nardis(Sapienza University of Rome), Roberto Passariello(Sapienza University of Rome)
American Journal of Roentgenology
May 1, 2003
Cited by 199

Abstract

OBJECTIVE: The purpose of our study was to evaluate the accuracy of multidetector CT (MDCT) using a high-resolution protocol in the preoperative assessment of patients with renal cell carcinoma who are possible candidates for nephron-sparing surgery. MATERIALS AND METHODS: Forty patients with suspected renal cell carcinoma underwent MDCT. Contrast-enhanced acquisitions were obtained during arterial, nephrographic, and urographic phases using a thin-slice protocol. One-millimeter-thick source images were evaluated by two observers on a dedicated workstation for the identification and characterization of the tumor, presence of a pseudocapsule or invasion of perirenal fat, involvement of adrenal glands or surrounding tissues, presence of satellite lesions within Gerota's fascia, infiltration of renal vein and inferior vena cava, involvement of lymph nodes, and presence of distant metastases. Imaging findings were compared with surgical specimens using criteria from the Robson and TNM classification systems. RESULTS: The presence and size of all lesions were correctly shown in all patients. In evaluating Robson stage I of renal cell carcinoma, we were able to diagnose fat infiltration on 1-mm scans with 96% sensitivity, 93% specificity, and 95% accuracy; the positive and negative predictive values were, respectively, 100% and 93%. One hundred percent accuracy was achieved in staging high-grade lesions. CONCLUSION: High-resolution MDCT is accurate in the preoperative evaluation of patients with renal cell carcinoma.


Related Papers

No related papers found

Powered by citation graph analysis