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Computed Tomography Renal Volumetry Better Predicts Postoperative Donor Renal Function in Live Kidney Donor Transplantation than Renal Scintigraphy: A Comparative Study. | LitMetric

AI Article Synopsis

  • * Fifty-one cases were analyzed, and the correlation between postoperative estimated glomerular filtration rate (eGFR) and expected split renal function (SRF) was measured using both RS and different types of CT data.
  • * Results show that CT volumetric calculations, particularly 5-mm slice data, provided a more accurate estimate of expected SRF compared to RS, with significant differences in correlation coefficients noted.

Article Abstract

Introduction And Objectives: Both computed tomography (CT) and renal scintigraphy (RS) have been used to assess vascular anatomy, renal status, and split renal function (SRF). In this study, we used a recently developed software that facilitates renal volumetric evaluations to compare RS and automated CT volumetry for assessing residual renal function and, thus, estimating postoperative renal function after donor nephrectomy.

Methods: Fifty-one cases of donor nephrectomy were analyzed. Residual renal function was estimated based on RS and CT volumetry. The correlation between the postoperative estimated glomerular filtration rate (eGFR) and expected SRF, measured using RS and three types of CT volumetry data (ellipsoid, thin-slice, and 5-mm slice data), was determined.

Results: The correlation coefficient between actual eGFR and expected SRF was significantly associated at each time point and modality (p < 0.0001). At any time point, the difference in correlation coefficient between RS and 5-mm volumetry was significant (p value: 0.003-0.018), whereas the differences in correlation coefficients between RS and the triaxial volume calculation, and the triaxial volume calculation and 5-mm volumetry, were generally statistically insignificant.

Conclusions: Expected SRF was estimated more accurately by CT volumetric calculations (especially 5-mm slice-based volumetry) than RS.

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Source
http://dx.doi.org/10.1159/000535629DOI Listing

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