InForm software: A semi-Automated research tool to identify presumptive human hepatic progenitor cells, and other histological features of pathological significance

Anne S. Kramer, Bruce Latham, Luke A. Diepeveen, Lingjun Mou, Geoffrey J. Laurent, Caryn Elsegood, Laura Ochoa-Callejero, George C. Yeoh

Research output: Contribution to journalArticle

Abstract

Hepatic progenitor cells (HPCs) play an important regenerative role in acute and chronic liver pathologies. Liver disease research often necessitates the grading of disease severity, and pathologists' reports are the current gold-standard for assessment. However, it is often impractical to recruit pathologists in large cohort studies. In this study we utilise PerkinElmer's "InForm" software package to semi-Automate the scoring of patient liver biopsies, and compare outputs to a pathologist's assessment. We examined a cohort of eleven acute hepatitis samples and three non-Alcoholic fatty liver disease (NAFLD) samples, stained with HPC markers (GCTM-5 and Pan Cytokeratin), an inflammatory marker (CD45), Sirius Red to detect collagen and haematoxylin/eosin for general histology. InForm was configured to identify presumptive HPCs, CD45+ve inflammatory cells, areas of necrosis, fat and collagen deposition (p < 0.0001). Hepatitis samples were then evaluated both by a pathologist using the Ishak-Knodell scoring system, and by InForm through customised algorithms. Necroinflammation as evaluated by a pathologist, correlated with InForm outputs (r2 = 0.8192, p < 0.05). This study demonstrates that the InForm software package provides a useful tool for liver disease research, allowing rapid, and objective quantification of the presumptive HPCs and identifies histological features that assist with assessing liver disease severity, and potentially can facilitate diagnosis.

LanguageEnglish
Article number3418
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - 1 Dec 2018

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Hepatocytes
Stem Cells
Software
Liver Diseases
Research
Hepatitis
Collagen
Keratin-5
Fat Necrosis
Liver
Hematoxylin
Eosine Yellowish-(YS)
Gold
Histology
Cohort Studies
Pathologists
Pathology
Biopsy

Cite this

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abstract = "Hepatic progenitor cells (HPCs) play an important regenerative role in acute and chronic liver pathologies. Liver disease research often necessitates the grading of disease severity, and pathologists' reports are the current gold-standard for assessment. However, it is often impractical to recruit pathologists in large cohort studies. In this study we utilise PerkinElmer's {"}InForm{"} software package to semi-Automate the scoring of patient liver biopsies, and compare outputs to a pathologist's assessment. We examined a cohort of eleven acute hepatitis samples and three non-Alcoholic fatty liver disease (NAFLD) samples, stained with HPC markers (GCTM-5 and Pan Cytokeratin), an inflammatory marker (CD45), Sirius Red to detect collagen and haematoxylin/eosin for general histology. InForm was configured to identify presumptive HPCs, CD45+ve inflammatory cells, areas of necrosis, fat and collagen deposition (p < 0.0001). Hepatitis samples were then evaluated both by a pathologist using the Ishak-Knodell scoring system, and by InForm through customised algorithms. Necroinflammation as evaluated by a pathologist, correlated with InForm outputs (r2 = 0.8192, p < 0.05). This study demonstrates that the InForm software package provides a useful tool for liver disease research, allowing rapid, and objective quantification of the presumptive HPCs and identifies histological features that assist with assessing liver disease severity, and potentially can facilitate diagnosis.",
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InForm software : A semi-Automated research tool to identify presumptive human hepatic progenitor cells, and other histological features of pathological significance. / Kramer, Anne S.; Latham, Bruce; Diepeveen, Luke A.; Mou, Lingjun; Laurent, Geoffrey J.; Elsegood, Caryn; Ochoa-Callejero, Laura; Yeoh, George C.

In: Scientific Reports, Vol. 8, No. 1, 3418, 01.12.2018.

Research output: Contribution to journalArticle

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T2 - Scientific Reports

AU - Kramer,Anne S.

AU - Latham,Bruce

AU - Diepeveen,Luke A.

AU - Mou,Lingjun

AU - Laurent,Geoffrey J.

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AU - Ochoa-Callejero,Laura

AU - Yeoh,George C.

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