Literature DB >> 24795835

Quantitative (99m)Tc DTPA renal transplant scintigraphic parameters: assessment of interobserver agreement and correlation with graft pathologies.

Sandeep K Gupta1, Guy Lewis1, Kerry M Rogers1, John Attia2, Kirk Rostron1, Leanne O'Neill1, Annah Skillen1, Suresh Viswanathan1.   

Abstract

Various (99m)Tc DTPA scintigraphic quantitative parameters for renal graft function assessment have been recommended, but none is universally accepted. In this study, 439 dynamic renal transplant scintigraphies (DRTS) were retrospectively analysed. In the first set of studies, four observers analysed the 47 random DRTS and interobserver agreement of eleven derived parameters was assessed. In the other set of studies, 181 instances of DRTS, performed on 127 recipients with renal biopsies within five days of each other were selected for correlation with pathology. Hilson's Perfusion index (HI), ΔP, P:Pl, P:U & T10 were selected for this analysis. The pathologies were categorized into renal vascular compromise (RVC; n = 20), acute tubular necrosis (ATN; n = 40), vascular rejection (VR; n = 34), interstitial rejection (IR; n = 33), normal (NOR; n = 36) and unclassified pathologies (n = 18). A majority of the parameters showed good Intraclass correlation (ICC). HI differentiated well between grafts with RVC and the remainder of the study cohort, (p < 0.0001; AUC = 0.84); at a cut-off > 278, it had 84% sensitivity and 78% specificity (Likelihood ratio = 3.8). At < 278, it had 98% 'negative' predictive value for RVC. HI also showed reasonable association with VR (p = 0.02; AUC = 0.62) and IR (p = 0.009; AUC = 0.65). However, significant overlap of HI values between various subgroups was noted. Other parameters had good ICC but were not effective in differentiating graft pathologies. Of the measured parameters, only HI proved to be useful for the pathological assessment, particularly in the identification of vascular compromise. This parameter, however, has lower specificity in differentiating the other pathologies.

Entities:  

Keywords:  Acute tubular necrosis; Hilson’s index; interobserver agreement; quantitative renal transplant DTPA scintigraphy; rejection; renal artery stenosis; renal graft

Year:  2014        PMID: 24795835      PMCID: PMC3999401     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  26 in total

1.  A simple objective parameter for perfusion study of renal transplant.

Authors:  K Koizumi; H Kakiuchi; T Saguchi; S Inoue; S Fuse; E Kawakami; A Yamazaki; K Kozaki; T Nagao
Journal:  Ann Nucl Med       Date:  2001-02       Impact factor: 2.668

2.  Indicators of acute rejection on Tc-99m DTPA renal scintigraphy.

Authors:  A Aktaş; M Aras; T Colak; A Gençoğlu; G Moray
Journal:  Transplant Proc       Date:  2006-03       Impact factor: 1.066

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4.  Quantitative Tc-99m DTPA renal transplant scintigraphy predicts graft survival in the very early postoperative period.

Authors:  Sandeep K Gupta; Guy Lewis; Kerry Rogers; John Attia
Journal:  Nucl Med Commun       Date:  2012-12       Impact factor: 1.690

5.  Quantitation of renal parenchymal retention of technetium-99m-MAG3 in renal transplants.

Authors:  Y Li; C D Russell; J Palmer-Lawrence; E V Dubovsky
Journal:  J Nucl Med       Date:  1994-05       Impact factor: 10.057

6.  Histopathological concordance of paired renal allograft biopsy cores. Effect on the diagnosis and management of acute rejection.

Authors:  J M Sorof; R K Vartanian; J L Olson; S J Tomlanovich; F G Vincenti; W J Amend
Journal:  Transplantation       Date:  1995-12-15       Impact factor: 4.939

7.  Cellular versus vascular rejection in transplant kidneys. Correlation of radionuclide and Doppler studies with histology.

Authors:  A M al-Nahhas; R Kedar; S H Morgan; W N Landells; B al-Murrani; T Heary; A Wright; D O Cosgrove; M R Bending; V R McCready
Journal:  Nucl Med Commun       Date:  1993-09       Impact factor: 1.690

8.  International variation in the interpretation of renal transplant biopsies: report of the CERTPAP Project.

Authors:  P N Furness; N Taub
Journal:  Kidney Int       Date:  2001-11       Impact factor: 10.612

9.  The renal transplant perfusion index: reduction in the error and variability.

Authors:  D Hamilton; U J Miola; M C Payne
Journal:  Eur J Nucl Med       Date:  1994-03

10.  Clinical application of the kidney to aortic blood flow index (K/A ratio).

Authors:  P T Kirchner; M H Goldman; S B Leapman; R F Kiepfer
Journal:  Contrib Nephrol       Date:  1978       Impact factor: 1.580

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