An Inexpensive Digital Image Analysis Technique for Liver Fibrosis Quantification in Chronic Hepatitis B Patients

Yin, Zhihua; Ru, Guoqing; Yan, Rong; Wang, Ming Shan; Chen, Mei-Juan; Yu, Li; Wang, Hong

doi:10.5604/01.3001.0010.5278

Cited by 11 publications

(16 citation statements)

References 20 publications

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“…In Campos et al [37], liver biopsies were obtained from 282 patients with CHC infection. Zhou et al [38] included a total of 142 CHB patients who underwent surgical biopsy.…”

Section: Number Of Histological Samples In Later Methodologiesmentioning

confidence: 99%

“…As a solution, Campos et al [37] proposed the use of well-known and easily accessible hardware and software tools to perform CPA calculations based on image analysis techniques. Zhou et al [38] considered also the validation of an inexpensive DIA technique for fibrosis quantification in patients with CHB.…”

Section: Comparison Of Biopsy Imaging With Non-invasive Imaging Modalmentioning

confidence: 99%

“…The final results were in the favor of SR stain. The same applies to Zhou et al [38], where both SR and MT stains were used in 16G biopsy needle samples. On the contrary, Naveau et al [35] preferred to rely on more than one histological coloring option, as biopsy specimens were stained with Hematoxylin-Eosin-Saffran, MT, and picro-Sirius red dyes.…”

Section: Histological Stains Used In Recent Yearsmentioning

confidence: 99%

“…In Campos et al [37], the research team decided to compare the quantitative assessment of hepatic fibrosis coming from the newly developed DIA, with semi-quantitative results derived both from the Ishak and METAVIR scores. In Zhou et al [38], the evaluation of the correlations between the CPA measurement and the semi-quantitative assessment was carried out according to Laennec, a modified METAVIR scoring system, along with the traditional Ishak and METAVIR grading.…”

Section: Recent Research Work Employing the Metavir Haimentioning

confidence: 99%

“…The regions of interest were extracted by thresholding different channels of the image. In Zhou et al [38], each sample was digitized using a magnification of ×40. All images were captured, providing a maximum resolution of 3748 × 2736 pixels as 24-bit RGB Joint Photographic Experts Group (JPEG) images.…”

Section: Fidr(%/mo) =mentioning

confidence: 99%

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Quantification of Liver Fibrosis—A Comparative Study

et al. 2020

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Liver disease has been targeted as the fifth most common cause of death worldwide and tends to steadily rise. In the last three decades, several publications focused on the quantification of liver fibrosis by means of the estimation of the collagen proportional area (CPA) in liver biopsies obtained from digital image analysis (DIA). In this paper, early and recent studies on this topic have been reviewed according to these research aims: the datasets used for the analysis, the employed image processing techniques, the obtained results, and the derived conclusions. The purpose is to identify the major strengths and “gray-areas” in the landscape of this topic.

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“…In Campos et al [37], liver biopsies were obtained from 282 patients with CHC infection. Zhou et al [38] included a total of 142 CHB patients who underwent surgical biopsy.…”

Section: Number Of Histological Samples In Later Methodologiesmentioning

confidence: 99%

Section: Comparison Of Biopsy Imaging With Non-invasive Imaging Modalmentioning

confidence: 99%

Section: Histological Stains Used In Recent Yearsmentioning

confidence: 99%

Section: Recent Research Work Employing the Metavir Haimentioning

confidence: 99%

Section: Fidr(%/mo) =mentioning

confidence: 99%

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Quantification of Liver Fibrosis—A Comparative Study

et al. 2020

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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD

Gawrieh

Sethunath

Cummings

et al. 2020

Annals of Diagnostic Pathology

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Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integrated artificial intelligence-based automated tool to detect and quantify hepatic fibrosis and assess its architectural pattern in NAFLD liver biopsies. Digital images of the trichrome-stained slides of liver biopsies from patients with NAFLD and different severity of fibrosis were used. Two expert liver pathologists semi-quantitatively assessed the severity of fibrosis in these biopsies and using a web applet provided a total of 987 annotations of different fibrosis types for developing, training and testing supervised machine learning models to detect fibrosis. The collagen proportionate area (CPA) was measured and correlated with each of the pathologists semi-quantitative fibrosis scores. Models were created and tested to detect each of six potential fibrosis patterns. There was good to excellent correlation between CPA and the pathologist score of fibrosis stage. The coefficient of determination (R 2 ) of automated CPA with the pathologist stages ranged from 0.60 to 0.86. There was considerable overlap in the calculated CPA across different fibrosis stages. For identification of fibrosis patterns, the models areas under the receiver operator curve were 78.6% for detection of periportal fibrosis, 83.3% for pericellular fibrosis, 86.4% for portal fibrosis and > 90% for detection of normal fibrosis, bridging fibrosis, and presence of nodule/cirrhosis. In conclusion, an integrated automated tool could accurately quantify hepatic fibrosis and determine its architectural patterns in NAFLD liver biopsies.

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Unpaired virtual histological staining using prior-guided generative adversarial networks

Yan

Liu

et al. 2023

Computerized Medical Imaging and Graphics

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An Inexpensive Digital Image Analysis Technique for Liver Fibrosis Quantification in Chronic Hepatitis B Patients

Abstract: The present digital imaging analysis technique is reproducible and available worldwide, allowing its use in clinical practice, and can be considered as a complementary tool to traditional histological methods.

Cited by 11 publications

References 20 publications

Quantification of Liver Fibrosis—A Comparative Study

Quantification of Liver Fibrosis—A Comparative Study

Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD

Unpaired virtual histological staining using prior-guided generative adversarial networks

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