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Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients

Objectives: The aim of this study was to determine whether unenhanced computed tomography (CT) imaging can estimate differential renal function (DRF) in patients with chronic unilateral obstructive upper urinary tract stones. Materials and Methods: This was a single-center retrospective study of 76...

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Autores principales: Li, Jiali, Xun, Yang, Li, Cong, Han, Yunfeng, Shen, Yaqi, Hu, Xuemei, Hu, Daoyu, Liu, Zheng, Wang, Shaogang, Li, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347744/
https://www.ncbi.nlm.nih.gov/pubmed/32719802
http://dx.doi.org/10.3389/fmed.2020.00309
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author Li, Jiali
Xun, Yang
Li, Cong
Han, Yunfeng
Shen, Yaqi
Hu, Xuemei
Hu, Daoyu
Liu, Zheng
Wang, Shaogang
Li, Zhen
author_facet Li, Jiali
Xun, Yang
Li, Cong
Han, Yunfeng
Shen, Yaqi
Hu, Xuemei
Hu, Daoyu
Liu, Zheng
Wang, Shaogang
Li, Zhen
author_sort Li, Jiali
collection PubMed
description Objectives: The aim of this study was to determine whether unenhanced computed tomography (CT) imaging can estimate differential renal function (DRF) in patients with chronic unilateral obstructive upper urinary tract stones. Materials and Methods: This was a single-center retrospective study of 76 patients. All the patients underwent unenhanced CT and nuclear renography (RG) at an interval of 4 to 6 weeks due to chronic unilateral obstructive urinary stones. Renal CT measurements (RCMs), including residual parenchymal volume (RPV) and volumetric CT texture analysis parameters, were obtained through a semiautomatic method. Percent RCMs were calculated and compared with renal function determined by RG. Results: The strongest Pearson coefficient between percent RCM and DRF was reflected by RPV (r = 0.957, P < 0.001). Combinations of RPV and other parameters did not significantly improve the correlation compared with RPV alone (r = 0.957 vs. r = 0.957, 0.957, 0.887, 0.815, and 0.956 for combination with Hounsfield unit, parenchymal voxel, skewness, kurtosis, and entropy, respectively; all P < 0.001). Percent RPV was subsequently introduced into linear regression, and the equation y = −2.66 + 1.07(*) × (P < 0.001) was derived to calculate predicted DRF. No statistically difference was found between predicted DRF using the equation and observed DRF according to RG (P = 0.959). Conclusion: Unenhanced CT imaging can estimate DRF in patients with chronic unilateral obstructive upper urinary tract stones, and RG might not be necessary as a conventional method in clinical.
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spelling pubmed-73477442020-07-26 Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients Li, Jiali Xun, Yang Li, Cong Han, Yunfeng Shen, Yaqi Hu, Xuemei Hu, Daoyu Liu, Zheng Wang, Shaogang Li, Zhen Front Med (Lausanne) Medicine Objectives: The aim of this study was to determine whether unenhanced computed tomography (CT) imaging can estimate differential renal function (DRF) in patients with chronic unilateral obstructive upper urinary tract stones. Materials and Methods: This was a single-center retrospective study of 76 patients. All the patients underwent unenhanced CT and nuclear renography (RG) at an interval of 4 to 6 weeks due to chronic unilateral obstructive urinary stones. Renal CT measurements (RCMs), including residual parenchymal volume (RPV) and volumetric CT texture analysis parameters, were obtained through a semiautomatic method. Percent RCMs were calculated and compared with renal function determined by RG. Results: The strongest Pearson coefficient between percent RCM and DRF was reflected by RPV (r = 0.957, P < 0.001). Combinations of RPV and other parameters did not significantly improve the correlation compared with RPV alone (r = 0.957 vs. r = 0.957, 0.957, 0.887, 0.815, and 0.956 for combination with Hounsfield unit, parenchymal voxel, skewness, kurtosis, and entropy, respectively; all P < 0.001). Percent RPV was subsequently introduced into linear regression, and the equation y = −2.66 + 1.07(*) × (P < 0.001) was derived to calculate predicted DRF. No statistically difference was found between predicted DRF using the equation and observed DRF according to RG (P = 0.959). Conclusion: Unenhanced CT imaging can estimate DRF in patients with chronic unilateral obstructive upper urinary tract stones, and RG might not be necessary as a conventional method in clinical. Frontiers Media S.A. 2020-07-03 /pmc/articles/PMC7347744/ /pubmed/32719802 http://dx.doi.org/10.3389/fmed.2020.00309 Text en Copyright © 2020 Li, Xun, Li, Han, Shen, Hu, Hu, Liu, Wang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Li, Jiali
Xun, Yang
Li, Cong
Han, Yunfeng
Shen, Yaqi
Hu, Xuemei
Hu, Daoyu
Liu, Zheng
Wang, Shaogang
Li, Zhen
Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
title Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
title_full Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
title_fullStr Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
title_full_unstemmed Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
title_short Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
title_sort estimation of renal function using unenhanced computed tomography in upper urinary tract stones patients
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347744/
https://www.ncbi.nlm.nih.gov/pubmed/32719802
http://dx.doi.org/10.3389/fmed.2020.00309
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