2006
DOI: 10.1111/j.1478-3231.2006.01341.x
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Quantitative assessment of liver fibrosis: a novel automated image analysis method

Abstract: The presented AQS is considered to be a novel approach in the domain of automatic liver fibrosis quantification. It is a true quantification and intelligent approach that attempts to utilize the current semiquantitative methods of liver fibrosis assessment to turn them into real quantitative ones with significant reduction in variability and subjectivity. We propose that our method can be adopted by a panel of expert liver pathologists and software to be developed and used on a wide scale.

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Cited by 13 publications
(18 citation statements)
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References 35 publications
(32 reference statements)
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“…Reading of necroinflammatory lesions is more reproducible with the Scheuer scale than with the Knodell HAI [13]. Recently, an automated analyzer was used to quantify the fibrosis, which seems an intelligent approach that attempts to utilize the current semiquantitative methods of liver fibrosis assessment to turn them into real quantitative ones with significant reduction in variability and subjectivity [14].…”
Section: Consensus Statementsmentioning
confidence: 99%
“…Reading of necroinflammatory lesions is more reproducible with the Scheuer scale than with the Knodell HAI [13]. Recently, an automated analyzer was used to quantify the fibrosis, which seems an intelligent approach that attempts to utilize the current semiquantitative methods of liver fibrosis assessment to turn them into real quantitative ones with significant reduction in variability and subjectivity [14].…”
Section: Consensus Statementsmentioning
confidence: 99%
“…A laparoscopic biopsy can decrease sampling error and increase the reliability of a histopathological assessment. Using automated image analysis to assess texture features and the shape representation of the fibrosis structural expansion can turn the current semiquantitative methods of liver fibrosis assessment into real quantitative methods with significant reduction in variability and subjectivity 53 . Validating non‐invasive tests against not only histological stage scores but also digital image analysis and clinical outcomes may also be a better choice.…”
Section: Resultsmentioning
confidence: 99%
“…Laparoscopic biopsy can decrease sampling error and increases the reliability of histopathologic assessment 87 . Using automated image analysis to assess texture features and shape representation of the fibrosis structural expansion can turn the current semiquantitative methods of liver fibrosis assessment into real quantitative ones with significant reduction in variability and subjectivity 88 . Validating noninvasive tests against not only histological stage scores but also digital image analysis and clinical outcomes may also be a better choice.…”
Section: Resultsmentioning
confidence: 99%