Quantitative versus morphological assessment of liver fibrosis: semi-quantitative scores are more robust than digital image fibrosis area estimation
Quantitative versus morphological assessment of liver fibrosis: semi-quantitative scores are more robust than digital image fibrosis area estimation
BACKGROUND/AIM: Digital image analysis (DIA) allows quantitative assessment of fibrosis on liver biopsy. Accurate determination of a threshold greyscale level representing fibrous tissue is critical. This method has not been fully evaluated in clinical practice.
METHODS: Digital images of stained liver biopsy sections were captured by microscopy and converted to greyscale. A novel method of determining the threshold greyscale value at which to measure fibrosis area was developed (peak proportion area change (PPAC)). Reproducibility was tested in comparison with standard interactive thresholding and with semi-quantitative scoring using the Histological activity index (HAI) system by a histopathologist. Fibrosis areas for different sections from the same biopsy core were also compared by each method.
RESULTS: Comparison between PPAC and interactive thresholding method demonstrated superior reproducibility of the PPAC method: r > 0.7, P < 0.001 compared with r = 0.19-0.64 (not all reaching significance). On a single section, reproducibility was similar for PPAC and the modified HAI system. When different sections from the same core were compared, the HAI system was more robust.
CONCLUSIONS: The PPAC method is superior to standard interactive thresholding. However, variability in DIA scores between sections invalidates the technique for clinical use and semi-quantitative scoring systems remain the gold standard for fibrosis assessment.
Fibrosis, Hepatitis C, Chronic/pathology, Humans, Image Processing, Computer-Assisted, Liver/pathology, Observer Variation, Reproducibility of Results
28-34
Wright, Mark
43325ef9-3459-4c75-b3bf-cf8d8dac2a21
Thursz, Mark
9639d985-1173-4f71-9d24-f404dd9e5c95
Pullen, Rebecca
e68dce7a-e524-429d-8b10-8cd644950e41
Thomas, Howard
6d14c164-8b2f-4e89-bd41-18974c0fafa2
Goldin, Robert
236b8cd1-f43d-4fae-8d55-77cb1704c9c1
1 February 2003
Wright, Mark
43325ef9-3459-4c75-b3bf-cf8d8dac2a21
Thursz, Mark
9639d985-1173-4f71-9d24-f404dd9e5c95
Pullen, Rebecca
e68dce7a-e524-429d-8b10-8cd644950e41
Thomas, Howard
6d14c164-8b2f-4e89-bd41-18974c0fafa2
Goldin, Robert
236b8cd1-f43d-4fae-8d55-77cb1704c9c1
Wright, Mark, Thursz, Mark, Pullen, Rebecca, Thomas, Howard and Goldin, Robert
(2003)
Quantitative versus morphological assessment of liver fibrosis: semi-quantitative scores are more robust than digital image fibrosis area estimation.
Liver International, 23 (1), .
(doi:10.1034/j.1600-0676.2003.01771.x).
Abstract
BACKGROUND/AIM: Digital image analysis (DIA) allows quantitative assessment of fibrosis on liver biopsy. Accurate determination of a threshold greyscale level representing fibrous tissue is critical. This method has not been fully evaluated in clinical practice.
METHODS: Digital images of stained liver biopsy sections were captured by microscopy and converted to greyscale. A novel method of determining the threshold greyscale value at which to measure fibrosis area was developed (peak proportion area change (PPAC)). Reproducibility was tested in comparison with standard interactive thresholding and with semi-quantitative scoring using the Histological activity index (HAI) system by a histopathologist. Fibrosis areas for different sections from the same biopsy core were also compared by each method.
RESULTS: Comparison between PPAC and interactive thresholding method demonstrated superior reproducibility of the PPAC method: r > 0.7, P < 0.001 compared with r = 0.19-0.64 (not all reaching significance). On a single section, reproducibility was similar for PPAC and the modified HAI system. When different sections from the same core were compared, the HAI system was more robust.
CONCLUSIONS: The PPAC method is superior to standard interactive thresholding. However, variability in DIA scores between sections invalidates the technique for clinical use and semi-quantitative scoring systems remain the gold standard for fibrosis assessment.
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Published date: 1 February 2003
Keywords:
Fibrosis, Hepatitis C, Chronic/pathology, Humans, Image Processing, Computer-Assisted, Liver/pathology, Observer Variation, Reproducibility of Results
Identifiers
Local EPrints ID: 478083
URI: http://eprints.soton.ac.uk/id/eprint/478083
ISSN: 1478-3223
PURE UUID: ad04ca5e-a363-4262-8509-6ecad8d99cd8
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Date deposited: 21 Jun 2023 16:53
Last modified: 17 Mar 2024 02:03
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Author:
Mark Wright
Author:
Mark Thursz
Author:
Rebecca Pullen
Author:
Howard Thomas
Author:
Robert Goldin
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