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Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors
OBJECTIVE: The purpose of this study was to assess the utility of CT-based renal cortex volume to estimate split renal function (SRF) in pre-transplant living kidney donors and to evaluate its reliability to predict graft function in the recipients. METHODS: Our study recruited all adult potential d...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592469/ https://www.ncbi.nlm.nih.gov/pubmed/33178951 http://dx.doi.org/10.1259/bjro.20190025 |
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author | Surawech, Chuthaporn Sasiwimonphan, Kewalee |
author_facet | Surawech, Chuthaporn Sasiwimonphan, Kewalee |
author_sort | Surawech, Chuthaporn |
collection | PubMed |
description | OBJECTIVE: The purpose of this study was to assess the utility of CT-based renal cortex volume to estimate split renal function (SRF) in pre-transplant living kidney donors and to evaluate its reliability to predict graft function in the recipients. METHODS: Our study recruited all adult potential donors who had both Tc-99m-diethylenetriamine pentacetate (DTPA) scintigraphy and CT angiography of the abdominal aorta done before donating their kidney. We compared the correlation between CT-based renal cortex volume combined with kidney function and DTPA scan as well as post-donation kidney function in the recipients. RESULTS: The correlation between CT-based split cortex volume and DTPA-measured SRF before transplantation was strong (intraclass correlation coefficient = 0.954–0.968). The inter-rater reliability of two radiologists also showed substantial agreement (intraclass correlation coefficient = 0.97, p < 0.001). In contrast, the correlations between renal cortical volume of donated kidney adjusted to recipient body weight and recipient kidney function was poor at both 2 week and 2 year follow-up. CONCLUSION: CT-based renal cortex volume combined with pre-operative kidney function appears to be precise and reproducible to evaluate pre-transplant SRF. Nevertheless, the prediction of recipient graft function needs to be further investigated to ensure a good outcome. ADVANCES IN KNOWLEDGE: This method is practicable for all potential donors who undergo kidney transplantation in terms of streamline donor workup without compromising information. |
format | Online Article Text |
id | pubmed-7592469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75924692020-11-10 Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors Surawech, Chuthaporn Sasiwimonphan, Kewalee BJR Open Original Research OBJECTIVE: The purpose of this study was to assess the utility of CT-based renal cortex volume to estimate split renal function (SRF) in pre-transplant living kidney donors and to evaluate its reliability to predict graft function in the recipients. METHODS: Our study recruited all adult potential donors who had both Tc-99m-diethylenetriamine pentacetate (DTPA) scintigraphy and CT angiography of the abdominal aorta done before donating their kidney. We compared the correlation between CT-based renal cortex volume combined with kidney function and DTPA scan as well as post-donation kidney function in the recipients. RESULTS: The correlation between CT-based split cortex volume and DTPA-measured SRF before transplantation was strong (intraclass correlation coefficient = 0.954–0.968). The inter-rater reliability of two radiologists also showed substantial agreement (intraclass correlation coefficient = 0.97, p < 0.001). In contrast, the correlations between renal cortical volume of donated kidney adjusted to recipient body weight and recipient kidney function was poor at both 2 week and 2 year follow-up. CONCLUSION: CT-based renal cortex volume combined with pre-operative kidney function appears to be precise and reproducible to evaluate pre-transplant SRF. Nevertheless, the prediction of recipient graft function needs to be further investigated to ensure a good outcome. ADVANCES IN KNOWLEDGE: This method is practicable for all potential donors who undergo kidney transplantation in terms of streamline donor workup without compromising information. The British Institute of Radiology. 2019-08-12 /pmc/articles/PMC7592469/ /pubmed/33178951 http://dx.doi.org/10.1259/bjro.20190025 Text en © 2019 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Original Research Surawech, Chuthaporn Sasiwimonphan, Kewalee Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
title | Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
title_full | Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
title_fullStr | Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
title_full_unstemmed | Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
title_short | Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
title_sort | reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592469/ https://www.ncbi.nlm.nih.gov/pubmed/33178951 http://dx.doi.org/10.1259/bjro.20190025 |
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