Literature DB >> 16008598

Reproducibility of the Banff classification in subclinical kidney transplant rejection.

Francisco Veríssimo Veronese1, Roberto Ceratti Manfro, Fernando Roberto Roman, Maria Isabel Edelweiss, David N Rush, Sylvia Dancea, Julio Goldberg, Luiz Felipe Gonçalves.   

Abstract

The Banff classification for kidney allograft pathology has proved to be reproducible, but its inter and intraobserver agreement can vary substantially among centres. The aim of this study was to evaluate Banff reproducibility of surveillance renal allograft biopsies among renal pathologists from different transplant centres. This study included 32 renal transplant patients with stable graft function. Biopsies were performed 2 and 12 months post-transplant. Histology was interpreted according to the Banff schema by three renal pathologists, and inter and intraobserver agreement were measured. The best reproducibility was obtained for the presence or absence of acute rejection (AR), with kappa values ranging from moderate (kappa = 0.47; p = 0.006) to good (kappa = 0.72; p = 0.0001). However, the agreement for 'suspicious for AR' category was poor between all observers. For scoring and grading interstitial inflammation and intimal arteritis the agreement were poor and moderate, respectively. Reproducibility for the presence or absence of chronic allograft nephropathy (CAN) was heterogeneous, ranging from poor (kappa = 0.13; p = NS) to moderate (kappa = 0.56; p = 0.007). Scoring chronic changes such as fibrous intimal thickening gave a reasonable interobserver agreement. Intraobserver reproducibility was good for presence or absence of AR, but was poor for the diagnosis of CAN. In conclusion, histologic analysis of stable renal allografts based on Banff criteria showed a good agreement for the diagnosis of AR and a reasonable kappa for CAN, but reproducibility for scoring and grading showed a substantial interobserver variation.

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Year:  2005        PMID: 16008598     DOI: 10.1111/j.1399-0012.2005.00377.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  13 in total

1.  Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier-Transform Infrared Imaging Technique.

Authors:  Vincent Vuiblet; Michael Fere; Cyril Gobinet; Philippe Birembaut; Olivier Piot; Philippe Rieu
Journal:  J Am Soc Nephrol       Date:  2015-12-18       Impact factor: 10.121

2.  Fibrosis with inflammation at one year predicts transplant functional decline.

Authors:  Walter D Park; Matthew D Griffin; Lynn D Cornell; Fernando G Cosio; Mark D Stegall
Journal:  J Am Soc Nephrol       Date:  2010-09-02       Impact factor: 10.121

3.  A method to reduce variability in scoring antibody-mediated rejection in renal allografts: implications for clinical trials - a retrospective study.

Authors:  Byron Smith; Lynn D Cornell; Maxwell Smith; Cherise Cortese; Xochiquetzal Geiger; Mariam P Alexander; Margaret Ryan; Walter Park; Martha Catalina Morales Alvarez; Carrie Schinstock; Walter Kremers; Mark Stegall
Journal:  Transpl Int       Date:  2018-10-02       Impact factor: 3.782

4.  Interleukin-2 in CD8+ T cells correlates with Banff score during organ rejection in liver transplant recipients.

Authors:  Bora Akoglu; Susanne Kriener; Swantje Martens; Eva Herrmann; Wolf Peter Hofmann; Vladan Milovic; Stefan Zeuzem; Dominik Faust
Journal:  Clin Exp Med       Date:  2009-03-19       Impact factor: 3.984

5.  A urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection.

Authors:  Joshua Y C Yang; Reuben D Sarwal; Tara K Sigdel; Izabella Damm; Ben Rosenbaum; Juliane M Liberto; Chitranon Chan-On; José M Arreola-Guerra; Josefina Alberu; Flavio Vincenti; Minnie M Sarwal
Journal:  Sci Transl Med       Date:  2020-03-18       Impact factor: 17.956

Review 6.  Advances of genomic science and systems biology in renal transplantation: a review.

Authors:  David Perkins; Meenakshi Verma; Ken J Park
Journal:  Semin Immunopathol       Date:  2011-02-14       Impact factor: 9.623

7.  Using both the Fraction and Quantity of Donor-Derived Cell-Free DNA to Detect Kidney Allograft Rejection.

Authors:  Suphamai Bunnapradist; Piyavadee Homkrailas; Ebad Ahmed; Gordon Fehringer; Paul R Billings; Hossein Tabriziani
Journal:  J Am Soc Nephrol       Date:  2021-06-23       Impact factor: 14.978

Review 8.  Urinary Cell mRNA Profiles Predictive of Human Kidney Allograft Status.

Authors:  Michelle L Lubetzky; Thalia Salinas; Joseph E Schwartz; Manikkam Suthanthiran
Journal:  Clin J Am Soc Nephrol       Date:  2021-04-27       Impact factor: 10.614

9.  Whole slide images for primary diagnostics of urinary system pathology: a feasibility study.

Authors:  Shaimaa Al-Janabi; André Huisman; Geertruida N Jonges; Fiebo J W Ten Kate; Roel Goldschmeding; Paul J van Diest
Journal:  J Renal Inj Prev       Date:  2014-12-01

10.  Impact of specimen adequacy on the assessment of renal allograft biopsy specimens.

Authors:  S Cimen; L Geldenhuys; S Guler; A Imamoglu; M Molinari
Journal:  Braz J Med Biol Res       Date:  2016-04-26       Impact factor: 2.590

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