Literature DB >> 7700032

Quantification of interstitial chronic renal damage by means of texture analysis.

F Moreso1, D Serón, J Vitriá, J M Grinyó, F M Colomé-Serra, N Parés, J Serra.   

Abstract

There is a relationship between chronic renal damage and renal function at the time of biopsy. Since the quantification of interstitial lesions with morphometric techniques is very time consuming, a fully automatic method to quantify chronic damage is desirable. Progression of chronic renal damage could be viewed as a texture modification of tubulointerstitial structures. The aim of the present work is to study whether chronic renal damage could be automatically measured by means of texture analysis based on mathematical morphology. Among the morphological tools the best suited for our purpose is that of granulometry. Between four and six fields from 35 renal biopsies with different degrees of renal damage were stained with Sirius red and digitized under polarized light. In each field granulometric function with a circular structuring element was obtained. Interstitial volume fraction was measured with a point counting technique. Glomerular filtration rate at the time of biopsy was available in each case. A positive relationship between granulometric function and glomerular filtration rate was observed (r2 = 0.85). The determination coefficient between interstitial volume fraction and renal function was (r2 = 0.54). In conclusion, we describe a fully automatic method that precisely quantifies interstitial chronic renal damage.

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Year:  1994        PMID: 7700032     DOI: 10.1038/ki.1994.474

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  5 in total

Review 1.  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

2.  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
Journal:  J Am Soc Nephrol       Date:  2010-11-29       Impact factor: 10.121

Review 3.  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

Review 4.  What is the best way to measure renal fibrosis?: A pathologist's perspective.

Authors:  Alton B Farris; Charles E Alpers
Journal:  Kidney Int Suppl (2011)       Date:  2014-11

5.  A cross-sectional study on the relationship between hematological data and quantitative morphological indices from kidney biopsies in different glomerular diseases.

Authors:  Michelangelo Nigro; Davide Viggiano; Vincenzo Ragone; Tiziana Trabace; Annamaria di Palma; Michele Rossini; Giovambattista Capasso; Loreto Gesualdo; Giuseppe Gigliotti
Journal:  BMC Nephrol       Date:  2018-03-14       Impact factor: 2.388

  5 in total

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