OBJECTIVES: To investigate retrospectively whether postoperative renal function in patients with renal cell carcinoma can be preoperatively predicted by a combination of the preoperative serum creatinine (sCr) and the renal parenchymal volume (RPV) estimated by three-dimensional image reconstruction of the preoperative diagnostic imaging. METHODS: Of 155 patients who had undergone radical nephrectomy, 76 were eligible for inclusion in our study (group 1). Group 2 was comprised of 26 of 37 patients who had undergone partial nephrectomy. The postoperative RPV in both groups was estimated from the preoperative computed tomography scans or magnetic resonance imaging and were compared with the actual RPV estimated from the postoperative imaging using a three-dimensional image reconstruction program. The postoperative creatinine clearance (Ccr) was predicted from the preoperative Ccr calculated from the sCr level and by the ratio of the postoperative/preoperative RPV. The correlations between the predicted postoperative Ccr and the actual, measured postoperative Ccr were analyzed statistically. RESULTS: In both groups, a statistically significant correlation was found between the postoperative RPV, estimated from the preoperative images and postoperative images. The predicted postoperative Ccr correlated significantly with the actual, measured postoperative Ccr in group 1 (r = 0.86, P <0.0001) and group 2 (r = 0.98, P <0.0001). The postoperatively increased sCr achieved stable levels within 2 to 4 weeks after nephrectomy and showed no statistically significant subsequent changes during 3 years of follow-up. CONCLUSIONS: The present results demonstrated that prediction of the postoperative Ccr, using the preoperative sCr and the postoperative RPV estimated from the preoperative routine diagnostic imaging, is a simple and reliable method for the evaluation of early and medium-term postoperative renal function.
OBJECTIVES: To investigate retrospectively whether postoperative renal function in patients with renal cell carcinoma can be preoperatively predicted by a combination of the preoperative serum creatinine (sCr) and the renal parenchymal volume (RPV) estimated by three-dimensional image reconstruction of the preoperative diagnostic imaging. METHODS: Of 155 patients who had undergone radical nephrectomy, 76 were eligible for inclusion in our study (group 1). Group 2 was comprised of 26 of 37 patients who had undergone partial nephrectomy. The postoperative RPV in both groups was estimated from the preoperative computed tomography scans or magnetic resonance imaging and were compared with the actual RPV estimated from the postoperative imaging using a three-dimensional image reconstruction program. The postoperative creatinine clearance (Ccr) was predicted from the preoperative Ccr calculated from the sCr level and by the ratio of the postoperative/preoperative RPV. The correlations between the predicted postoperative Ccr and the actual, measured postoperative Ccr were analyzed statistically. RESULTS: In both groups, a statistically significant correlation was found between the postoperative RPV, estimated from the preoperative images and postoperative images. The predicted postoperative Ccr correlated significantly with the actual, measured postoperative Ccr in group 1 (r = 0.86, P <0.0001) and group 2 (r = 0.98, P <0.0001). The postoperatively increased sCr achieved stable levels within 2 to 4 weeks after nephrectomy and showed no statistically significant subsequent changes during 3 years of follow-up. CONCLUSIONS: The present results demonstrated that prediction of the postoperative Ccr, using the preoperative sCr and the postoperative RPV estimated from the preoperative routine diagnostic imaging, is a simple and reliable method for the evaluation of early and medium-term postoperative renal function.
Authors: Rodney H Breau; Edward Clark; Bryan Bruner; Patrick Cervini; Thomas Atwell; Greg Knoll; Bradley C Leibovich Journal: Can Urol Assoc J Date: 2013 May-Jun Impact factor: 1.862
Authors: Artur A Antoniewicz; Sławomir Poletajew; Andrzej Borówka; Tomasz Pasierski; Magdalena Rostek; Witold Pikto-Pietkiewicz Journal: Int Urol Nephrol Date: 2011-09-21 Impact factor: 2.370