Literature DB >> 12768879

[Fractal analysis of liver fibrosis].

G Soda1, S Nardoni, D Bosco, F Grizzi, N Dioguardi, M Melis.   

Abstract

This study realized by two different study groups use of Fractal geometry to quantify the complex collagen deposition during chronic liver disease. Thirty standard needle liver biopsy specimens were obtained from patients with chronic HCV-related disease. Three mu-thick sections were cut and stained by means of Picrosirius stain, in order to visualise collagen matrix. The degree of fibrosis was measured using a quantitative scoring system based on the computer-assisted evaluation of the fractal dimension of the deposited collagen surface. The obtained results by both study groups, show that the proposed method is reproducible, rapid and inexpensive. The complex distribution of its collagenous components can be quantified using a single numerical score. This study demonstrated that it is possible to quantify the collagen's irregularity in an objective manner, and that the study of the fractal properties of the collagen shapes is likely to reveal more about its structure and the complex behaviour of its development.

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Year:  2003        PMID: 12768879

Source DB:  PubMed          Journal:  Pathologica        ISSN: 0031-2983


  2 in total

1.  Morphology of the pancreas in type 2 diabetes: effect of weight loss with or without normalisation of insulin secretory capacity.

Authors:  Ahmad Al-Mrabeh; Kieren G Hollingsworth; Sarah Steven; Roy Taylor
Journal:  Diabetologia       Date:  2016-05-14       Impact factor: 10.122

2.  Computer-aided assessment of the extra-cellular matrix during pancreatic carcinogenesis: a pilot study.

Authors:  Fabio Grizzi; Sirio Fiorino; Dorina Qehajaj; Adele Fornelli; Carlo Russo; Dario de Biase; Michele Masetti; Laura Mastrangelo; Matteo Zanello; Raffaele Lombardi; Andrea Domanico; Esterita Accogli; Andrea Tura; Leonardo Mirandola; Maurizio Chiriva-Internati; Robert S Bresalier; Elio Jovine; Paolo Leandri; Luca Di Tommaso
Journal:  J Transl Med       Date:  2019-02-28       Impact factor: 5.531

  2 in total

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