Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology

Abstract Methods for estimating nephron number in a clinical setting may be useful for predicting renal outcomes. This study aimed to establish such a method using unenhanced computed tomography (CT) and biopsy-based stereology. Patients or living kidney donors simultaneously subjected to enhanced a...

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Autores principales: Takaya Sasaki, Nobuo Tsuboi, Yusuke Okabayashi, Kotaro Haruhara, Go Kanzaki, Kentaro Koike, Akimitsu Kobayashi, Izumi Yamamoto, Sho Takahashi, Toshiharu Ninomiya, Akira Shimizu, Andrew D. Rule, John F. Bertram, Takashi Yokoo
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Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/2ce30147b9f840c3abd2b3a62987eb09
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spelling oai:doaj.org-article:2ce30147b9f840c3abd2b3a62987eb092021-12-02T15:10:02ZEstimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology10.1038/s41598-019-50529-x2045-2322https://doaj.org/article/2ce30147b9f840c3abd2b3a62987eb092019-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-50529-xhttps://doaj.org/toc/2045-2322Abstract Methods for estimating nephron number in a clinical setting may be useful for predicting renal outcomes. This study aimed to establish such a method using unenhanced computed tomography (CT) and biopsy-based stereology. Patients or living kidney donors simultaneously subjected to enhanced and unenhanced CT examinations were randomly assigned to development and validation groups. The enhanced CT-measured arterial phase and the venous phase images of kidneys were regarded as the true values for cortical volume and parenchymal volume, respectively. Linear multiple regression analysis was used to create models for estimating cortical volume using explanatory variables including unenhanced CT-measured parenchymal volume. Nephron number was determined as the product of cortical volume and the glomerular density in biopsies of donors. Five equations for estimating cortical volume were created and verified. In donors, estimated nephron number by unenhanced CT was consistent with that by enhanced CT, with minimal errors in all models (636–655 ± 210–219 vs. 648 ± 224 × 103/kidney). Clinical characteristics combined with parenchymal volume did not improve the equation over parenchymal volume alone. These results support the feasibility of estimating nephron number by a combination of unenhanced CT and biopsy-based stereology, with a possible application for renal disease patients who are often not suitable for contrast media.Takaya SasakiNobuo TsuboiYusuke OkabayashiKotaro HaruharaGo KanzakiKentaro KoikeAkimitsu KobayashiIzumi YamamotoSho TakahashiToshiharu NinomiyaAkira ShimizuAndrew D. RuleJohn F. BertramTakashi YokooNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Takaya Sasaki
Nobuo Tsuboi
Yusuke Okabayashi
Kotaro Haruhara
Go Kanzaki
Kentaro Koike
Akimitsu Kobayashi
Izumi Yamamoto
Sho Takahashi
Toshiharu Ninomiya
Akira Shimizu
Andrew D. Rule
John F. Bertram
Takashi Yokoo
Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
description Abstract Methods for estimating nephron number in a clinical setting may be useful for predicting renal outcomes. This study aimed to establish such a method using unenhanced computed tomography (CT) and biopsy-based stereology. Patients or living kidney donors simultaneously subjected to enhanced and unenhanced CT examinations were randomly assigned to development and validation groups. The enhanced CT-measured arterial phase and the venous phase images of kidneys were regarded as the true values for cortical volume and parenchymal volume, respectively. Linear multiple regression analysis was used to create models for estimating cortical volume using explanatory variables including unenhanced CT-measured parenchymal volume. Nephron number was determined as the product of cortical volume and the glomerular density in biopsies of donors. Five equations for estimating cortical volume were created and verified. In donors, estimated nephron number by unenhanced CT was consistent with that by enhanced CT, with minimal errors in all models (636–655 ± 210–219 vs. 648 ± 224 × 103/kidney). Clinical characteristics combined with parenchymal volume did not improve the equation over parenchymal volume alone. These results support the feasibility of estimating nephron number by a combination of unenhanced CT and biopsy-based stereology, with a possible application for renal disease patients who are often not suitable for contrast media.
format article
author Takaya Sasaki
Nobuo Tsuboi
Yusuke Okabayashi
Kotaro Haruhara
Go Kanzaki
Kentaro Koike
Akimitsu Kobayashi
Izumi Yamamoto
Sho Takahashi
Toshiharu Ninomiya
Akira Shimizu
Andrew D. Rule
John F. Bertram
Takashi Yokoo
author_facet Takaya Sasaki
Nobuo Tsuboi
Yusuke Okabayashi
Kotaro Haruhara
Go Kanzaki
Kentaro Koike
Akimitsu Kobayashi
Izumi Yamamoto
Sho Takahashi
Toshiharu Ninomiya
Akira Shimizu
Andrew D. Rule
John F. Bertram
Takashi Yokoo
author_sort Takaya Sasaki
title Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
title_short Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
title_full Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
title_fullStr Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
title_full_unstemmed Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
title_sort estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/2ce30147b9f840c3abd2b3a62987eb09
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