ArticleWorld journal of gastroenterology2006
Sampling variability of computer-aided fractal-corrected measures of liver fibrosis in needle biopsy specimens.
Article in World journal of gastroenterology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Fractal nature of human gastrointestinal system: Exploring a new era.World journal of gastroenterology · 2023Review
- The Complexity and Fractal Geometry of Nuclear Medicine Images.Molecular imaging and biology · 2019Review
- Computer-aided assessment of the extra-cellular matrix during pancreatic carcinogenesis: a pilot study.Journal of translational medicine · 2019Article
- Diagnosis system for hepatocellular carcinoma based on fractal dimension of morphometric elements integrated in an artificial neural network.BioMed research international · 2014Article
- Liver fibrosis: consensus recommendations of the Asian Pacific Association for the Study of the Liver (APASL).Hepatology international · 2009Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo assess the sampling variability of computer-aided, fractal-corrected measures of fibrosis in liver biopsies.
methodsSamples were derived from six to eight different parts of livers removed from 12 patients with clinically and histologically proven cirrhosis undergoing orthotopic liver transplantation. Sirius red-stained sections with a thickness of 2 mum were digitized using a computer-aided image analysis system that automatically measures the surface of fibrosis, as well as its outline perimeter, fractal surface and outline dimensions, wrinkledness, and Hurst coefficient.
resultsWe found a high degree of inter-sample variability in the measurements of the surface [coefficient of variation (CV) = 43% +/- 13%] and wrinkledness (CV = 28% +/- 9%) of fibrosis, but the inter-sample variability of Hurst's exponent was low (CV = 14% +/- 2%).
conclusionThis study suggests that Hurst's exponent might be used in clinical practice as the best histological estimate of fibrosis in the whole organ, and evidences the fact that biopsy sections, which are fundamental for the qualitative diagnosis of chronic hepatitis, play a key role in the quantitative estimate of architectural changes in liver tissue.
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Registered trials
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