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Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease

Chronic kidney disease (CKD) progression involves morphological changes in the kidney, such as decreased length and thickness, with associated histopathological alterations. However, the relationship between morphological changes in the kidneys and glomerular filtration rate (GFR) has not been quant...

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Autores principales: Choi, Yoon Ho, Jo, Seongho, Lee, Ro Woon, Kim, Ji-Eun, Paek, Jin Hyuk, Kim, Byoungje, Shin, Soo-Yong, Hwang, Seun Deuk, Lee, Seoung Woo, Song, Joon Ho, Kim, Kipyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914455/
https://www.ncbi.nlm.nih.gov/pubmed/36766507
http://dx.doi.org/10.3390/diagnostics13030402
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author Choi, Yoon Ho
Jo, Seongho
Lee, Ro Woon
Kim, Ji-Eun
Paek, Jin Hyuk
Kim, Byoungje
Shin, Soo-Yong
Hwang, Seun Deuk
Lee, Seoung Woo
Song, Joon Ho
Kim, Kipyo
author_facet Choi, Yoon Ho
Jo, Seongho
Lee, Ro Woon
Kim, Ji-Eun
Paek, Jin Hyuk
Kim, Byoungje
Shin, Soo-Yong
Hwang, Seun Deuk
Lee, Seoung Woo
Song, Joon Ho
Kim, Kipyo
author_sort Choi, Yoon Ho
collection PubMed
description Chronic kidney disease (CKD) progression involves morphological changes in the kidney, such as decreased length and thickness, with associated histopathological alterations. However, the relationship between morphological changes in the kidneys and glomerular filtration rate (GFR) has not been quantitatively and comprehensively evaluated. We evaluated the three-dimensional size and shape of the kidney using computed tomography (CT)-derived features in relation to kidney function. We included 257 patients aged ≥18 years who underwent non-contrast abdominal CT at the Inha University Hospital. The features were quantified using predefined algorithms in the pyRadiomics package after kidney segmentation. All features, except for flatness, significantly correlated with estimated GFR (eGFR). The surface-area-to-volume ratio (SVR) showed the strongest negative correlation (r = −0.75, p < 0.0001). Kidney size features, such as volume and diameter, showed moderate to high positive correlations; other morphological features showed low to moderate correlations. The calculated area under the receiver operating characteristic (ROC) curve (AUC) for different features ranged from 0.51 (for elongation) to 0.86 (for SVR) for different eGFR thresholds. Diabetes patients had weaker correlations between the studied features and eGFR and showed less bumpy surfaces in three-dimensional visualization. We identified alterations in the CKD kidney based on various three-dimensional shape and size features, with their potential diagnostic value.
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spelling pubmed-99144552023-02-11 Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease Choi, Yoon Ho Jo, Seongho Lee, Ro Woon Kim, Ji-Eun Paek, Jin Hyuk Kim, Byoungje Shin, Soo-Yong Hwang, Seun Deuk Lee, Seoung Woo Song, Joon Ho Kim, Kipyo Diagnostics (Basel) Article Chronic kidney disease (CKD) progression involves morphological changes in the kidney, such as decreased length and thickness, with associated histopathological alterations. However, the relationship between morphological changes in the kidneys and glomerular filtration rate (GFR) has not been quantitatively and comprehensively evaluated. We evaluated the three-dimensional size and shape of the kidney using computed tomography (CT)-derived features in relation to kidney function. We included 257 patients aged ≥18 years who underwent non-contrast abdominal CT at the Inha University Hospital. The features were quantified using predefined algorithms in the pyRadiomics package after kidney segmentation. All features, except for flatness, significantly correlated with estimated GFR (eGFR). The surface-area-to-volume ratio (SVR) showed the strongest negative correlation (r = −0.75, p < 0.0001). Kidney size features, such as volume and diameter, showed moderate to high positive correlations; other morphological features showed low to moderate correlations. The calculated area under the receiver operating characteristic (ROC) curve (AUC) for different features ranged from 0.51 (for elongation) to 0.86 (for SVR) for different eGFR thresholds. Diabetes patients had weaker correlations between the studied features and eGFR and showed less bumpy surfaces in three-dimensional visualization. We identified alterations in the CKD kidney based on various three-dimensional shape and size features, with their potential diagnostic value. MDPI 2023-01-22 /pmc/articles/PMC9914455/ /pubmed/36766507 http://dx.doi.org/10.3390/diagnostics13030402 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Choi, Yoon Ho
Jo, Seongho
Lee, Ro Woon
Kim, Ji-Eun
Paek, Jin Hyuk
Kim, Byoungje
Shin, Soo-Yong
Hwang, Seun Deuk
Lee, Seoung Woo
Song, Joon Ho
Kim, Kipyo
Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
title Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
title_full Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
title_fullStr Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
title_full_unstemmed Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
title_short Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
title_sort changes in ct-based morphological features of the kidney with declining glomerular filtration rate in chronic kidney disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914455/
https://www.ncbi.nlm.nih.gov/pubmed/36766507
http://dx.doi.org/10.3390/diagnostics13030402
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