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Erschienen in: Annals of Nuclear Medicine 11/2020

12.09.2020 | Original Article

Deceased vs. living donor kidney transplantation in prediction of acute renal allograft rejection using Tc-99m DTPA renal scan

verfasst von: Sang-Geon Cho, Soo Jin Na Choi, Ki Seong Park, Jahae Kim, Jang Bae Moon, Ho-Chun Song

Erschienen in: Annals of Nuclear Medicine | Ausgabe 11/2020

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Abstract

Objectives

No data are available regarding different prognostic values of Tc-99m diethylenetriaminepentaacetic acid (DTPA) renal scan in kidney transplantation (KT) recipients according to two distinct donor types: deceased donor KT (DDKT) and living donor KT (LDKT). We evaluated whether the interpretation of Tc-99m DTPA renal scan should be different by the donor type in predicting acute renal allograft rejection (AR).

Methods

One hundred and seven KT recipients (61 DDKT and 46 LDKT) were included in this study. Tc-99m DTPA renal scan was performed 1 week after KT. AR was defined as pathological evidence of renal allograft rejection during the first 6 months of KT. Clinical factors and Tc-99m DTPA renal scan findings were compared between patients with and without AR. To further analyze the effect of the donor type, they were again compared within DDKT and LDKT recipients, respectively.

Results

AR occurred in 15 patients (7 DDKT and 8 LDKT recipients). Among all patients, time to peak uptake (TTP) of the cortex (TTPCX) measured by Tc-99m DTPA renal scan was independently predictive of AR. Moreover, TTPKD (TTP of the whole transplanted kidney) and TTPCX were the only predictors of AR among DDKT recipients. The most accurate predictors were TTPCX and kidney area on renal scan for DDKT and LDKT, respectively. However, these parameters could not predict AR for the opposite donor type.

Conclusions

AR could be effectively predicted by Tc-99m DTPA renal scan obtained at 1 week post-KT. Different parameters should be applied according to the donor type in the prediction of AR.
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Metadaten
Titel
Deceased vs. living donor kidney transplantation in prediction of acute renal allograft rejection using Tc-99m DTPA renal scan
verfasst von
Sang-Geon Cho
Soo Jin Na Choi
Ki Seong Park
Jahae Kim
Jang Bae Moon
Ho-Chun Song
Publikationsdatum
12.09.2020
Verlag
Springer Singapore
Erschienen in
Annals of Nuclear Medicine / Ausgabe 11/2020
Print ISSN: 0914-7187
Elektronische ISSN: 1864-6433
DOI
https://doi.org/10.1007/s12149-020-01511-5

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