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10.5114/pjr.2018.74956 http://scihub22266oqcxt.onion/10.5114/pjr.2018.74956 C6047088!6047088!30038672     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Pol+J+Radiol 2018 ; 83 (ä): e1-e10 Nephropedia Template TP {{tp|p=30038672|t=2018. Scintigraphic texture analysis for assessment of renal allograft function |pdf=|usr=}}{{30038672}} gab.com Text Scintigraphic texture analysis for assessment of renal allograft function JO: Pol J Radiol http://www.kidney.de/pget.php?&tw=1&pmid=30038672 #FOAvip 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. Twit Text FOAVip Scintigraphic texture analysis for assessment of renal allograft function ????Pol J Radiol http://www.kidney.de/pget.php?&tw=1&pmid=30038672 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30038672 #FOAvip English Wikipedia <ref>{{Cite pmid|30038672}}</ref> Scintigraphic texture analysis for assessment of renal allograft function #MMPMID30038672 Ardakani AA; Hekmat S; Abolghasemi J; Reiazi R Pol J Radiol 2018[]; 83 (ä): e1-e10 PMID30038672show ga 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. äScintigraphic texture analysis for assessment of renal allograft funct(epmc).pdf DeepDyve Pubget Overpricing