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Scintigraphic texture analysis for assessment of renal allograft function

PURPOSE: Early detection and monitoring of kidney function during the post-transplantation period is one of the most important issues for improving the accuracy of an initial diagnosis. The aim of this study was to evaluate texture analysis (TA) in scintigraphic imaging to detect changes in kidney s...

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Autores principales: Ardakani, Ali Abbasian, Hekmat, Sepideh, Abolghasemi, Jamileh, Reiazi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047088/
https://www.ncbi.nlm.nih.gov/pubmed/30038672
http://dx.doi.org/10.5114/pjr.2018.74956
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author Ardakani, Ali Abbasian
Hekmat, Sepideh
Abolghasemi, Jamileh
Reiazi, Reza
author_facet Ardakani, Ali Abbasian
Hekmat, Sepideh
Abolghasemi, Jamileh
Reiazi, Reza
author_sort Ardakani, Ali Abbasian
collection PubMed
description PURPOSE: Early detection and monitoring of kidney function during the post-transplantation period is one of the most important issues for improving the accuracy of an initial diagnosis. The aim of this study was to evaluate texture analysis (TA) in scintigraphic imaging to detect changes in kidney status after transplantation. MATERIAL AND METHODS: Scintigraphic images were used for TA from a total of 94 kidney allografts (39 rejected and 55 non-rejected). Images corresponding to the frames at the 2(nd), 5(th), and 20(th) minute of the study were used to determine the optimum time point for analysis of differences in texture features between the rejected and non-rejected allografts. RESULTS: Linear discriminant analysis indicated the best performance at the fifth minute frame for classification of the rejected and non-rejected allografts with receiver operating characteristic curve (A(z)) of 0.982, corresponding to 91.89% sensitivity, 96.49% specificity, and 94.68% accuracy. Also, TA can differentiate acute tubular necrosis from acute rejection with A(z) of 0.953 corresponding to 88% sensitivity, 92.31% specificity, and 90.62% accuracy at the 5(th) minute frame. The best correlation between texture feature and kidney function was achieved at the 20(th) minute frame (r = –0.396) for glomerular filtration rate. CONCLUSIONS: TA has good potential for the characterisation of kidney failure after transplantation and can improve clinical diagnosis.
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spelling pubmed-60470882018-07-23 Scintigraphic texture analysis for assessment of renal allograft function Ardakani, Ali Abbasian Hekmat, Sepideh Abolghasemi, Jamileh Reiazi, Reza Pol J Radiol Original Paper PURPOSE: Early detection and monitoring of kidney function during the post-transplantation period is one of the most important issues for improving the accuracy of an initial diagnosis. The aim of this study was to evaluate texture analysis (TA) in scintigraphic imaging to detect changes in kidney status after transplantation. MATERIAL AND METHODS: Scintigraphic images were used for TA from a total of 94 kidney allografts (39 rejected and 55 non-rejected). Images corresponding to the frames at the 2(nd), 5(th), and 20(th) minute of the study were used to determine the optimum time point for analysis of differences in texture features between the rejected and non-rejected allografts. RESULTS: Linear discriminant analysis indicated the best performance at the fifth minute frame for classification of the rejected and non-rejected allografts with receiver operating characteristic curve (A(z)) of 0.982, corresponding to 91.89% sensitivity, 96.49% specificity, and 94.68% accuracy. Also, TA can differentiate acute tubular necrosis from acute rejection with A(z) of 0.953 corresponding to 88% sensitivity, 92.31% specificity, and 90.62% accuracy at the 5(th) minute frame. The best correlation between texture feature and kidney function was achieved at the 20(th) minute frame (r = –0.396) for glomerular filtration rate. CONCLUSIONS: TA has good potential for the characterisation of kidney failure after transplantation and can improve clinical diagnosis. Termedia Publishing House 2018-01-18 /pmc/articles/PMC6047088/ /pubmed/30038672 http://dx.doi.org/10.5114/pjr.2018.74956 Text en Copyright © Polish Medical Society of Radiology 2018 https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). License allowing third parties to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.
spellingShingle Original Paper
Ardakani, Ali Abbasian
Hekmat, Sepideh
Abolghasemi, Jamileh
Reiazi, Reza
Scintigraphic texture analysis for assessment of renal allograft function
title Scintigraphic texture analysis for assessment of renal allograft function
title_full Scintigraphic texture analysis for assessment of renal allograft function
title_fullStr Scintigraphic texture analysis for assessment of renal allograft function
title_full_unstemmed Scintigraphic texture analysis for assessment of renal allograft function
title_short Scintigraphic texture analysis for assessment of renal allograft function
title_sort scintigraphic texture analysis for assessment of renal allograft function
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047088/
https://www.ncbi.nlm.nih.gov/pubmed/30038672
http://dx.doi.org/10.5114/pjr.2018.74956
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