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Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study

Autosomal dominant polycystic kidney disease (ADPKD) eventually leads to end stage renal disease (ESRD) with an increase in size and number of cysts over time. Progression to ESRD has previously been shown to correlate with total kidney volume (TKV). An accurate and relatively simple method to perfo...

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Autores principales: Roudenko, Alexandra, Mahmood, Soran, Du, Linda, Gunio, Drew, Barash, Irina, Doo, Florence, Slutzky, Alon, Kukar, Nina, Friedman, Barak, Kagen, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544696/
https://www.ncbi.nlm.nih.gov/pubmed/34698270
http://dx.doi.org/10.3390/tomography7040049
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author Roudenko, Alexandra
Mahmood, Soran
Du, Linda
Gunio, Drew
Barash, Irina
Doo, Florence
Slutzky, Alon
Kukar, Nina
Friedman, Barak
Kagen, Alexander
author_facet Roudenko, Alexandra
Mahmood, Soran
Du, Linda
Gunio, Drew
Barash, Irina
Doo, Florence
Slutzky, Alon
Kukar, Nina
Friedman, Barak
Kagen, Alexander
author_sort Roudenko, Alexandra
collection PubMed
description Autosomal dominant polycystic kidney disease (ADPKD) eventually leads to end stage renal disease (ESRD) with an increase in size and number of cysts over time. Progression to ESRD has previously been shown to correlate with total kidney volume (TKV). An accurate and relatively simple method to perform measurement of TKV has been difficult to develop. We propose a semi-automated approach of calculating TKV inclusive of all cysts in ADPKD patients based on b0 images relatively quickly without requiring any calculations or additional MRI time. Our purpose is to evaluate the reliability and reproducibility of our method by raters of various training levels within the environment of an advanced 3D viewer. Thirty patients were retrospectively identified who had DWI performed as part of 1.5T MRI renal examination. Right and left TKVs were calculated by five radiologists of various training levels. Interrater reliability (IRR) was estimated by computing the intraclass correlation (ICC) for all raters. ICC values calculated for TKV measurements between the five raters were 0.989 (95% CI = (0.981, 0.994), p < 0.01) for the right and 0.961 (95% CI = (0.936, 0.979), p < 0.01) for the left. Our method shows excellent intraclass correlation between raters, allowing for excellent interrater reliability.
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spelling pubmed-85446962021-10-26 Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study Roudenko, Alexandra Mahmood, Soran Du, Linda Gunio, Drew Barash, Irina Doo, Florence Slutzky, Alon Kukar, Nina Friedman, Barak Kagen, Alexander Tomography Article Autosomal dominant polycystic kidney disease (ADPKD) eventually leads to end stage renal disease (ESRD) with an increase in size and number of cysts over time. Progression to ESRD has previously been shown to correlate with total kidney volume (TKV). An accurate and relatively simple method to perform measurement of TKV has been difficult to develop. We propose a semi-automated approach of calculating TKV inclusive of all cysts in ADPKD patients based on b0 images relatively quickly without requiring any calculations or additional MRI time. Our purpose is to evaluate the reliability and reproducibility of our method by raters of various training levels within the environment of an advanced 3D viewer. Thirty patients were retrospectively identified who had DWI performed as part of 1.5T MRI renal examination. Right and left TKVs were calculated by five radiologists of various training levels. Interrater reliability (IRR) was estimated by computing the intraclass correlation (ICC) for all raters. ICC values calculated for TKV measurements between the five raters were 0.989 (95% CI = (0.981, 0.994), p < 0.01) for the right and 0.961 (95% CI = (0.936, 0.979), p < 0.01) for the left. Our method shows excellent intraclass correlation between raters, allowing for excellent interrater reliability. MDPI 2021-10-10 /pmc/articles/PMC8544696/ /pubmed/34698270 http://dx.doi.org/10.3390/tomography7040049 Text en © 2021 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
Roudenko, Alexandra
Mahmood, Soran
Du, Linda
Gunio, Drew
Barash, Irina
Doo, Florence
Slutzky, Alon
Kukar, Nina
Friedman, Barak
Kagen, Alexander
Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study
title Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study
title_full Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study
title_fullStr Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study
title_full_unstemmed Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study
title_short Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study
title_sort semi-automated 3d volumetric renal measurements in polycystic kidney disease using b0-images—a feasibility study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544696/
https://www.ncbi.nlm.nih.gov/pubmed/34698270
http://dx.doi.org/10.3390/tomography7040049
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