Scintigraphic texture analysis for assessment of renal allograft function

2018
journal article
article
4
cris.lastimport.wos2024-04-09T18:48:47Z
dc.abstract.enPurpose: 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 2nd, 5th, and 20th 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 (Az) 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 Az of 0.953 corresponding to 88% sensitivity, 92.31% specificity, and 90.62% accuracy at the 5th minute frame. The best correlation between texture feature and kidney function was achieved at the 20th 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.pl
dc.contributor.authorAbbasian Ardakani, Alipl
dc.contributor.authorHekmat, Sepidehpl
dc.contributor.authorAbolghasemi, Jamilehpl
dc.contributor.authorReiazi, Rezapl
dc.date.accessioned2018-04-11T06:25:47Z
dc.date.available2018-04-11T06:25:47Z
dc.date.issued2018pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e9-e10pl
dc.description.physicale1-e10pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume83pl
dc.identifier.doi10.5114/pjr.2018.74956pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/53168
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode*
dc.share.typeotwarte czasopismo
dc.subject.encomputer-assistedpl
dc.subject.enkidney transplantationpl
dc.subject.enpattern recognition systempl
dc.subject.enradionuclide imagingpl
dc.subtypeArticlepl
dc.titleScintigraphic texture analysis for assessment of renal allograft functionpl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T18:48:47Z
dc.abstract.enpl
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 2nd, 5th, and 20th 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 (Az) 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 Az of 0.953 corresponding to 88% sensitivity, 92.31% specificity, and 90.62% accuracy at the 5th minute frame. The best correlation between texture feature and kidney function was achieved at the 20th 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.
dc.contributor.authorpl
Abbasian Ardakani, Ali
dc.contributor.authorpl
Hekmat, Sepideh
dc.contributor.authorpl
Abolghasemi, Jamileh
dc.contributor.authorpl
Reiazi, Reza
dc.date.accessioned
2018-04-11T06:25:47Z
dc.date.available
2018-04-11T06:25:47Z
dc.date.issuedpl
2018
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e9-e10
dc.description.physicalpl
e1-e10
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
83
dc.identifier.doipl
10.5114/pjr.2018.74956
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/53168
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode
dc.share.type
otwarte czasopismo
dc.subject.enpl
computer-assisted
dc.subject.enpl
kidney transplantation
dc.subject.enpl
pattern recognition system
dc.subject.enpl
radionuclide imaging
dc.subtypepl
Article
dc.titlepl
Scintigraphic texture analysis for assessment of renal allograft function
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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