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Automated quantific...
Automated quantification of steatosis: agreement with stereological point counting
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- Homeyer, Andre (author)
- Fraunhofer MEVIS, Germany
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- Nasr, Patrik (author)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken
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- Engel, Christiane (author)
- Fraunhofer MEVIS, Germany
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- Kechagias, Stergios (author)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken
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- Lundberg, Peter (author)
- Linköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Radiofysikavdelningen US
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- Ekstedt, Mattias (author)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Magtarmmedicinska kliniken
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- Kost, Henning (author)
- Fraunhofer MEVIS, Germany
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- Weiss, Nick (author)
- Fraunhofer MEVIS, Germany
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- Palmer, Tim (author)
- University of Leeds, England
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- Karl Hahn, Horst (author)
- Fraunhofer MEVIS, Germany
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- Treanor, Darren (author)
- Linköpings universitet,Avdelningen för neuro- och inflammationsvetenskap,Medicinska fakulteten,University of Leeds, England; Leeds Teaching Hospital NHS Trust, England
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- Lundström, Claes (author)
- Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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(creator_code:org_t)
- 2017-11-13
- 2017
- English.
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In: Diagnostic Pathology. - : BIOMED CENTRAL LTD. - 1746-1596. ; 12
- Related links:
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https://liu.diva-por... (primary) (Raw object)
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https://diagnosticpa...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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- Background: Steatosis is routinely assessed histologically in clinical practice and research. Automated image analysis can reduce the effort of quantifying steatosis. Since reproducibility is essential for practical use, we have evaluated different analysis methods in terms of their agreement with stereological point counting (SPC) performed by a hepatologist. Methods: The evaluation was based on a large and representative data set of 970 histological images from human patients with different liver diseases. Three of the evaluated methods were built on previously published approaches. One method incorporated a new approach to improve the robustness to image variability. Results: The new method showed the strongest agreement with the expert. At 20x resolution, it reproduced steatosis area fractions with a mean absolute error of 0.011 for absent or mild steatosis and 0.036 for moderate or severe steatosis. At 10x resolution, it was more accurate than and twice as fast as all other methods at 20x resolution. When compared with SPC performed by two additional human observers, its error was substantially lower than one and only slightly above the other observer. Conclusions: The results suggest that the new method can be a suitable automated replacement for SPC. Before further improvements can be verified, it is necessary to thoroughly assess the variability of SPC between human observers.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Keyword
- Steatosis; Histology; Stereology; Stereological point counting; Automated image analysis; Agreement
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Homeyer, Andre
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Nasr, Patrik
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Engel, Christian ...
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Kechagias, Sterg ...
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Lundberg, Peter
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Ekstedt, Mattias
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show more...
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Kost, Henning
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Weiss, Nick
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Palmer, Tim
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Karl Hahn, Horst
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Treanor, Darren
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Lundström, Claes
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
- Articles in the publication
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Diagnostic Patho ...
- By the university
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Linköping University