Back

Title
  • en Rapid estimation of split renal function in kidney donors using software developed for computed tomographic renal volumetry
Creator
Accessrights open access
Subject
  • Other en CT volumetry
  • Other en Split renal function
  • Other en Kidney donor
  • NDC 492
Description
  • Abstract en Purpose: To evaluate the speed and precision of split renal volume (SRV) measurement (SRV), which is the ratio of unilateral renal volume to bilateral renal volume, using a newly developed software for computed tomographic (CT) volumetry and to investigate the usefulness of SRV for the estimation of split renal function (SRF) in kidney donors. Method: Both dynamic CT and renal scintigraphy in 28 adult potential living renal donors were the subjects of this study. We calculated SRV using the newly developed volumetric software built into a PACS viewer (n-SRV), and compared it with SRV calculated using a conventional workstation, ZIOSOFT (z-SRV). The correlation with split renal function (SRF) using 99mTc-DMSA scintigraphy was also investigated. Results: The time required for volumetry of bilateral kidneys with the newly developed software (16.7 ± 3.9 sec) was significantly shorter than that of the workstation (102.6 ± 38.9 sec, p < 0.0001). The results of n-SRV (49.7 ± 4.0%) were highly consistent with those of z-SRV (49.9 ± 3.6%), with a mean discrepancy of 0.12 ± 0.84%. The SRF also agreed well with the n-SRV, with a mean discrepancy of 0.25 ± 1.65%. The dominant side determined by SRF and n-SRV showed agreement in 26 of 28 cases (92.9%). Conclusion: The newly developed software for CT volumetry was more rapid than the conventional workstation volumetry and just as accurate, and was suggested to be useful for the estimation of SRF and thus the dominant side in kidney donors.
Publisher en Elsevier Ireland
Date
    Issued2011-07
Language
  • eng
Resource Type journal article
Version Type AM
Identifier HDL http://hdl.handle.net/2115/46770
Relation
  • isVersionOf DOI https://doi.org/10.1016/j.ejrad.2009.11.013
  • PMID 19963330
Journal
    • PISSN 0720-048X
      • en European Journal of Radiology
      • Volume Number79 Issue Number1 Page Start15 Page End20
File
Oaidate 2023-07-26