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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2018
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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. |
format | Online Article Text |
id | pubmed-6047088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
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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