Simplified method of hepatic fibrosis quantification: design of a new morphometric analysis application

Friedenberg, Marc A.; Miller, Larry S.; Chung, Chan Y.; Fleszler, Frederick; Banson, Felice; Thomas, Rebecca; Swartz, Kenneth P.; Friedenberg, Frank K.

doi:10.1111/j.1478-3231.2005.01161.x

Cited by 21 publications

(17 citation statements)

References 22 publications

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“…These authors were able to detect fibrosis regression in cirrhotic patients by means of DMA, which was otherwise undetectable by semi-quantitative method [19]. Many reports have been published in regard to the strong correlation between different semi-quantitative fibrosis scores and various quantitative morphometric methods used for the evaluation of fibrosis [17,[20][21][22]. In our study, we were able to detect good correlation between the results of DMA and Metavir score as well as LS values.…”

Section: Discussionsupporting

confidence: 66%

Evaluation of Histological and non-Invasive Methods for the Detection of Liver Fibrosis: The Values of Histological and Digital Morphometric Analysis, Liver Stiffness Measurement and APRI Score

Halász

Horváth

Kiss

et al. 2015

Pathol. Oncol. Res.

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Prognosis and treatment of liver diseases mainly depend on the precise evaluation of the fibrosis. Comparisons were made between the results of Metavir fibrosis scores and digital morphometric analyses (DMA), liver stiffness (LS) values and aminotransferase-platelet ratio (APRI) scores, respectively. Liver biopsy specimens stained with Sirius red and analysed by morphometry, LS and APRI measurements were taken from 96 patients with chronic liver diseases (56 cases of viral hepatitis, 22 cases of autoimmune- and 18 of mixed origin). The strongest correlation was observed between Metavir score and DMA (r = 0.75 p < 0.05), followed in decreasing order by LS and Metavir (r = 0.61), LS and DMA (r = 0.47) LS and APRI (r = 0.35) and Metavir and APRI (r = 0.24), respectively. DMA is a helpful additional tool for the histopathological evaluation of fibrosis, even when the sample size is small and especially in case of advanced fibrosis. The non-invasive methods showed good correlation with the histopathological methods; LS proved to be more accurate than APRI. The stronger correlation between LS values and Metavir scores, as well as the results of DMA in case of appropriate sample size were remarkable.

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Section: Discussionsupporting

confidence: 66%

Evaluation of Histological and non-Invasive Methods for the Detection of Liver Fibrosis: The Values of Histological and Digital Morphometric Analysis, Liver Stiffness Measurement and APRI Score

Halász

Horváth

Kiss

et al. 2015

Pathol. Oncol. Res.

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“…Quantification of hepatic fibrosis is important to stage and follow the progression of chronic liver diseases (Friedenberg et al 2005). Hepatic schistosomiasis induces a compensatory hypertrophy of the hepatic artery, with increased sinusoidal pressure resulting in alterations of hepatic function (Andrade 1986).…”

Section: Discussionmentioning

confidence: 99%

Hepatic stereology of schistosomiasis mansoni infected-mice fed a high-fat diet

Neves

Alencar

Águila

et al. 2006

Mem. Inst. Oswaldo Cruz

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High-fat diets induce weight gain and fatty liver in wild-type mice. Schistosomiasis mansoni infection also promotes hepatic injury. This study was designed to quantify hepatic alterations in schistosomiasis mansoni infected mice fed a high-fat diet (IHFC) or standard chow (ISC), uninfected mice fed a high-fat diet (HFC) or standard chow (SC). Mice were sacrificed during early infection (9 weeks from exposure). The following hepatic biometry and the stereology parameters were determined: volume density (hepatocytes [h], sinusoids [s], steatosis [st] and hepatic fibrosis [hf]); numerical density (hepatocyte nuclei -Nv[h]); absolute number of total hepatocyte N[h], normal hepatocyte N[nh], and binucleated hepatocyte N[bh], percentage of normal hepatocyte P[nh] and binucleated hepatocyte P[bh]. IHFC and HFC groups exhibited TC, HDL-C, LDL-C, and body mass significantly greater (p < 0.05) than control group. No significant differences were found regards liver volume (p = 0.07). Significant differences were observed regards P[nh] (p = 0.0045), P[bh] (p = 0.0045), Nv[h] (p = 0.0006), N[h] (p = 0.0125), N[bh] (p = 0.0164) and N[nh] (p = 0.0078). IHFC mice group presented 29% of binucleated hepatocytes compared to HFC group (19%), ISC group (17%) and SC (6%

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“…Although the methodology is not standardized, a number of publications have described methods for quantifying hepatic fibrosis by image analysis, and all appear to yield similar results. 5,[18][19][20][21][22][23][24][25][26][27] The methods are time consuming compared with simple histologic scoring, and the necessary equipment and expertise are not widely available, but in a study to evaluate progression or regression of fibrosis, measuring the amount of fibrosis as precisely as possible seems appropriate.…”

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confidence: 99%

Progression of fibrosis in advanced chronic hepatitis C

et al. 2007

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Fibrosis progression in chronic liver disease has usually been evaluated by liver biopsy using insensitive semiquantitative numerical scores. An alternative to this is to measure fibrous tissue quantitatively using morphometric image analysis. The aim of this study was to quantify fibrosis progression in a cohort of patients with treatment-refractory chronic hepatitis C enrolled in a placebo-controlled clinical trial of interferon gamma-1b (IFN-␥ 1b) for the treatment of advanced hepatic fibrosis. We used morphometry to quantify the amount of fibrous tissue in liver biopsies performed at baseline and after 48 weeks in 245 patients who had paired unfragmented, adequate-sized specimens and correlated the results with clinical and laboratory parameters. Eighty-seven patients were treated with placebo and 158 with IFN-␥ 1b. No effect of the drug on fibrosis was found in the trial, and so data from all 245 patients were combined for analysis. At baseline, 78% had cirrhosis; 22%, bridging fibrosis. The mean morphometrically determined collagen content increased by 58% between baseline and 48 weeks. There were statistically significant but weak correlations of fibrosis with platelet count, albumin, bilirubin, INR, and hyaluronic acid; however, changes in these did not correlate with or predict changes in fibrosis in the liver biopsy. Conclusion: In advanced chronic hepatitis C, fibrosis increases at a rapid pace that can only be detected by morphometry. This technique can be used in future therapeutic trials of agents to inhibit fibrosis progression. (HEPATOLOGY 2007;45:886-894.)

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Simplified method of hepatic fibrosis quantification: design of a new morphometric analysis application

Abstract: We have developed an image analysis application to quantify liver fibrosis. Correlation between our results and a standard semiquantitative system was demonstrated.

Cited by 21 publications

References 22 publications

Evaluation of Histological and non-Invasive Methods for the Detection of Liver Fibrosis: The Values of Histological and Digital Morphometric Analysis, Liver Stiffness Measurement and APRI Score

Evaluation of Histological and non-Invasive Methods for the Detection of Liver Fibrosis: The Values of Histological and Digital Morphometric Analysis, Liver Stiffness Measurement and APRI Score

Hepatic stereology of schistosomiasis mansoni infected-mice fed a high-fat diet

Progression of fibrosis in advanced chronic hepatitis C

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