Abstract

You have accessJournal of UrologyCME1 Apr 2023MP31-15 BY DONOR FACTOR COMPARISON OF PRE-TRANSPLANT CT VOLUMETRY AND RENAL DYNAMIC SCINTIGRAPHY IN PREDICTING POST-TRANSPLANT RENAL FUNCTION IN LIVING RENAL TRANSPLANT DONORS Hirohito Naito, Nobufumi Ueda, Tomoko Honda, Iori Matsuda, Yu Osaki, Yoichiro Tohi, Yuki Matsuoka, Takuma Kato, Homare Okazoe, Rikiya Taoka, and Mikio Sugimoto Hirohito NaitoHirohito Naito More articles by this author , Nobufumi UedaNobufumi Ueda More articles by this author , Tomoko HondaTomoko Honda More articles by this author , Iori MatsudaIori Matsuda More articles by this author , Yu OsakiYu Osaki More articles by this author , Yoichiro TohiYoichiro Tohi More articles by this author , Yuki MatsuokaYuki Matsuoka More articles by this author , Takuma KatoTakuma Kato More articles by this author , Homare OkazoeHomare Okazoe More articles by this author , Rikiya TaokaRikiya Taoka More articles by this author , and Mikio SugimotoMikio Sugimoto More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003264.15AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Renal dynamic scintigraphy (RDS) is used to evaluate renal function in donors, and the utility of CT volumetry (CTV) has recently been reported. Both techniques can be discordant, and it is not clear which test is more useful in which patients. To evaluated the correlation between predicted renal function by both examination and post-transplant renal function. Patient factors affecting the usefulness of both examinations were evaluated. METHODS: Of 117 renal transplant donors who underwent renal transplantation at our institution between April 30, 2008 and April 30, 2022, 113 patients who underwent RDS and CT prior to transplantation were included. Correlation coefficients and regression equations were obtained from post-transplant estimated GFR (eGFR) and pre-transplant residual renal function calculated from RDS and CTV, respectively. The difference between the post-transplant eGFR and the predicted eGFR from each regression equations were obtained for each case, and the examination with smaller difference was defined as the useful test for that case. Multiple logistic regression analysis using factor including age, sex, BMI, serum creatinine, blood pressure, and presence of diabetes mellitus, which are commonly evaluated before transplantation, was performed to determine factors affecting the usefulness of both examinations. RESULTS: The correlation coefficients between pre-transplant residual renal function calculated from RDS and CTV and post-transplant eGFR were 0.742 and 0.794. The median difference between predicted eGFR and post-transplant eGFR obtained from both regression equations was 3.97 and 3.19 ml/min/1.73 m2, and multiple logistic regression analysis showed that CTV was significantly more useful in patients with higher BMI (p<0.05). CONCLUSIONS: Pre-transplant residual renal function calculated from by RDS and CTV were both positively correlated with post-transplant renal function. The results suggest that CTV is more useful than RDS in patients with high BMI. Source of Funding: No funding is needed for this study © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e435 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Hirohito Naito More articles by this author Nobufumi Ueda More articles by this author Tomoko Honda More articles by this author Iori Matsuda More articles by this author Yu Osaki More articles by this author Yoichiro Tohi More articles by this author Yuki Matsuoka More articles by this author Takuma Kato More articles by this author Homare Okazoe More articles by this author Rikiya Taoka More articles by this author Mikio Sugimoto More articles by this author Expand All Advertisement PDF downloadLoading ...

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