Literature DB >> 15385637

Computerized image analysis vs semiquantitative scoring in evaluation of kidney allograft fibrosis and prognosis.

Ståle Sund1, Paul Grimm, Anna Varberg Reisaeter, Torstein Hovig.   

Abstract

BACKGROUND: Chronic morphological changes in the kidney allograft predict long-term graft function, but there are few studies comparing different methods in assessing chronic lesions. In the present study, we evaluated allograft cortical interstitial fibrosis, and compared semiquantitative assessment with computerized image analysis of Sirius red-stained collagen in prediction of graft prognosis.
METHODS: Sections were obtained from a series of 1-year protocol living donor kidney graft biopsies (n = 33) and their corresponding baseline specimens (n = 32). At light microscopy, the biopsies were scored for interstitial fibrosis as a percentage of involved tubulointerstitium according to the Banff schema. Quantitation of cortical fractional interstitial fibrosis volume (Vint) was performed with computerized image analysis on coded sections stained with Sirius red. The results were correlated with kidney function at 8-10 years after transplantation, and with late graft loss.
RESULTS: There was a significant correlation between the semiquantitative and quantitative methods for measuring cortical interstitial fibrosis in all the biopsies (n = 65, percentage area vs Vint: R = 0.439, P = 0.0003). The correlation further improved when analysing the baseline specimens separately (n = 32, R = 0.704, P<0.0001) and was still significant, but less precise for the 1-year biopsies (n = 33, R = 0.384, P = 0.0274). One-year semiquantitative fibrosis (percentage area) was correlated to serum creatinine at 8-10 years (P = 0.010) and to late graft loss (P = 0.0445). The 1-year Vint values for interstitial fibrosis showed a similar trend but did not reach statistical significance in prediction of long-term graft function.
CONCLUSIONS: Image analysis quantitation of interstitial collagen with Sirius red corresponded well to light microscopic semiquantitative assessment of interstitial fibrosis. In prediction of long-term graft function, the semiquantitative method was superior, indicating that accumulation of matrix molecules other than fibrillary collagens, oedema and inflammation are also important in graft prognosis.

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Year:  2004        PMID: 15385637     DOI: 10.1093/ndt/gfh490

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  19 in total

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

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Review 3.  Renal interstitial fibrosis: mechanisms and evaluation.

Authors:  Alton B Farris; Robert B Colvin
Journal:  Curr Opin Nephrol Hypertens       Date:  2012-05       Impact factor: 2.894

4.  Interstitial fibrosis scored on whole-slide digital imaging of kidney biopsies is a predictor of outcome in proteinuric glomerulopathies.

Authors:  Laura H Mariani; Sebastian Martini; Laura Barisoni; Pietro A Canetta; Jonathan P Troost; Jeffrey B Hodgin; Matthew Palmer; Avi Z Rosenberg; Kevin V Lemley; Hui-Ping Chien; Jarcy Zee; Abigail Smith; Gerald B Appel; Howard Trachtman; Stephen M Hewitt; Matthias Kretzler; Serena M Bagnasco
Journal:  Nephrol Dial Transplant       Date:  2018-02-01       Impact factor: 5.992

5.  Morphometric and visual evaluation of fibrosis in renal biopsies.

Authors:  Alton B Farris; Catherine D Adams; Nicole Brousaides; Patricia A Della Pelle; A Bernard Collins; Ellie Moradi; R Neal Smith; Paul C Grimm; Robert B Colvin
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8.  Development of CD3 cell quantitation algorithms for renal allograft biopsy rejection assessment utilizing open source image analysis software.

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9.  New Insights into the Effects of Chronic Kidney Failure and Dialysate Exposure on the Peritoneum.

Authors:  Carmen A Vlahu; Jan Aten; Marijke de Graaff; Henk van Veen; Vincent Everts; Dirk R de Waart; Dirk G Struijk; Raymond T Krediet
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Review 10.  Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples.

Authors:  Alton B Farris; Juan Vizcarra; Mohamed Amgad; Lee A D Cooper; David Gutman; Julien Hogan
Journal:  Histopathology       Date:  2021-03-08       Impact factor: 5.087

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