Virtual biopsies : Proof of concept for a novel quantitative approach to liver biopsy adequacy and pathology education
© The Author(s) 2023. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
OBJECTIVES: To quantitatively measure liver biopsy adequacy requirements and the effect of a teaching intervention that uses a virtual biopsy platform.
METHODS: A library of virtual liver biopsies was created using digital whole-slide, trichrome-stained tissue sections from liver resection material and QuPath image analysis software. Blinded participants staged fibrosis on the virtual biopsies before and after a teaching intervention.
RESULTS: This platform both modeled adequacy requirements for cirrhosis diagnosis on biopsy material and measured the effect of a teaching intervention on participant performance. Using this platform, diagnostic accuracy for cirrhosis could be modeled according to the function y = λ(1 ‒ e‒x/γ). The platform demonstrated that the relationship between biopsy size and diagnostic accuracy was statistically significant and that biopsies smaller than 6 mm long and 0.8 mm wide were insufficient to diagnosis cirrhosis. The platform also measured improvement in fibrosis staging accuracy among participants following a teaching intervention.
CONCLUSIONS: These results provide proof of concept for a virtual biopsy method by which outstanding questions in anatomic pathology can be addressed quantitatively using open source software. Future work is needed to validate these findings in clinical practice.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:161 |
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| Enthalten in: |
American journal of clinical pathology - 161(2024), 1 vom: 04. Jan., Seite 24-34 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sweeney, Jacob R [VerfasserIn] |
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| Links: |
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| Themen: |
Education |
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| Anmerkungen: |
Date Completed 11.01.2024 Date Revised 11.01.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1093/ajcp/aqad104 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM360971083 |
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| 245 | 1 | 0 | |a Virtual biopsies |b Proof of concept for a novel quantitative approach to liver biopsy adequacy and pathology education |
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| 500 | |a Date Revised 11.01.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
| 520 | |a OBJECTIVES: To quantitatively measure liver biopsy adequacy requirements and the effect of a teaching intervention that uses a virtual biopsy platform | ||
| 520 | |a METHODS: A library of virtual liver biopsies was created using digital whole-slide, trichrome-stained tissue sections from liver resection material and QuPath image analysis software. Blinded participants staged fibrosis on the virtual biopsies before and after a teaching intervention | ||
| 520 | |a RESULTS: This platform both modeled adequacy requirements for cirrhosis diagnosis on biopsy material and measured the effect of a teaching intervention on participant performance. Using this platform, diagnostic accuracy for cirrhosis could be modeled according to the function y = λ(1 ‒ e‒x/γ). The platform demonstrated that the relationship between biopsy size and diagnostic accuracy was statistically significant and that biopsies smaller than 6 mm long and 0.8 mm wide were insufficient to diagnosis cirrhosis. The platform also measured improvement in fibrosis staging accuracy among participants following a teaching intervention | ||
| 520 | |a CONCLUSIONS: These results provide proof of concept for a virtual biopsy method by which outstanding questions in anatomic pathology can be addressed quantitatively using open source software. Future work is needed to validate these findings in clinical practice | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a education | |
| 650 | 4 | |a liver biopsy adequacy | |
| 650 | 4 | |a quantitative anatomic pathology | |
| 650 | 4 | |a virtual biopsy | |
| 700 | 1 | |a Arenas, Daniel J |e verfasserin |4 aut | |
| 700 | 1 | |a Fortuna, Danielle |e verfasserin |4 aut | |
| 700 | 1 | |a Tondon, Rashmi |e verfasserin |4 aut | |
| 700 | 1 | |a Furth, Emma E |e verfasserin |4 aut | |
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