Determination of split renal function in voluntary renal donors by multidetector computed tomography and nuclear renography: How well do they correlate?
Background: The use of computed tomography (CT) for estimation of split renal function (SRF) has been reported previously. However, most of these studies have small samples, and many do not account for the renal attenuation at CT. Objective: The aim of this study was to compare multidetector compute...
| Publicado en: | South African Journal of Radiology Vol. 25; no. 1; pp. 1 - 9 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
African Online Scientific Information System PTY LTD
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152542555&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152542555 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1027202X 39WP jtl: South African Journal of Radiology issn: 1027202X maglogo: N pubinfo: dt: 2021 vid: 25 iid: 1 pid: 56831 pub: African Online Scientific Information System PTY LTD place: , <Blank> artinfo: ui: 152542555 152542555 152542555 10.4102/sajr.v25i1.2009 152542555 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Determination of split renal function in voluntary renal donors by multidetector computed tomography and nuclear renography: How well do they correlate? aug: au: Lai, Hira Singh, Anuradha Prasad, Raghunandan Yadav, Priyank Akhtar, Javed Barai, Sukanta Mishra, Prabhakar Bhadauria, Dharmendra Kaul, Anupma Prasad, Narayan Verma, Pragati affil: Department of Radiology, Faculty of Health Sciences, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India sug: subj: Kidney Physiology Multidetector Computed Tomography Transplant Donors Kidney Transplantation Radionuclide Imaging Human Female Male Adult Middle Age Prospective Studies Analytic Research Correlation Coefficient Linear Regression Variable T-Tests Descriptive Statistics One-Way Analysis of Variance Post Hoc Analysis Chi Square Test Data Analysis Software Statistical Significance Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Background: The use of computed tomography (CT) for estimation of split renal function (SRF) has been reported previously. However, most of these studies have small samples, and many do not account for the renal attenuation at CT. Objective: The aim of this study was to compare multidetector computed tomography (MDCT) volumetry-attenuation-based SRF with that obtained via Tc99m-diethylenetriaminepentaacetic acid (DTPA) renal scintigraphy in voluntary renal donors. Methods: Between January 2017 and January 2020, 526 voluntary renal donors were enrolled prospectively. All donors underwent contrast CT and DTPA scan before surgery. The semiautomatic region of interest (ROI) tool was applied slice by slice on axial CT images acquired in the arterial phase. The renal contour was drawn semiautomatically with mouse clicks around the renal parenchyma, and the renal volume was ascertained. Using renal volume and attenuation, SRF was determined and compared with results obtained at DTPA imaging. Results: The mean age was 44.91 ± 10.97 years (mean ± s.d.). There was no significant difference in SRF based on DTPA and MDCT volumetry for the left kidney (49.18% ± 3.40% vs. 49.15% ± 3.38%, p = 0.540) and for the right kidney (50.82% ± 3.40% vs. 50.86% ± 3.39%, p = 0.358). A very good correlation was observed between the two methods for the left kidney (r = 0.953, p = 0.000) and the right kidney (r = 0.955, p = 0.000). On simple linear regression analysis, 90.8% of DTPA SRF values for the left kidney and 91.3% of DTPA SRF values for the right kidney could be predicted correctly using the corresponding MDCT SRF values. Conclusion: MDCT volumetry-attenuation-derived estimation of SRF for living renal donors could be an alternative to renal scintigraphy-based SRF estimation. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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