Cargando…

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated patient data to extract information. This review off...

Descripción completa

Detalles Bibliográficos
Autores principales: Abels, Esther, Pantanowitz, Liron, Aeffner, Famke, Zarella, Mark D, van der Laak, Jeroen, Bui, Marilyn M, Vemuri, Venkata NP, Parwani, Anil V, Gibbs, Jeff, Agosto‐Arroyo, Emmanuel, Beck, Andrew H, Kozlowski, Cleopatra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852275/
https://www.ncbi.nlm.nih.gov/pubmed/31355445
http://dx.doi.org/10.1002/path.5331
_version_ 1783469794875408384
author Abels, Esther
Pantanowitz, Liron
Aeffner, Famke
Zarella, Mark D
van der Laak, Jeroen
Bui, Marilyn M
Vemuri, Venkata NP
Parwani, Anil V
Gibbs, Jeff
Agosto‐Arroyo, Emmanuel
Beck, Andrew H
Kozlowski, Cleopatra
author_facet Abels, Esther
Pantanowitz, Liron
Aeffner, Famke
Zarella, Mark D
van der Laak, Jeroen
Bui, Marilyn M
Vemuri, Venkata NP
Parwani, Anil V
Gibbs, Jeff
Agosto‐Arroyo, Emmanuel
Beck, Andrew H
Kozlowski, Cleopatra
author_sort Abels, Esther
collection PubMed
description In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated patient data to extract information. This review offers a historical perspective and describes the potential clinical benefits from research and applications in this field, as well as significant obstacles to adoption. Best practices for implementing computational pathology workflows are presented. These include infrastructure considerations, acquisition of training data, quality assessments, as well as regulatory, ethical, and cyber‐security concerns. Recommendations are provided for regulators, vendors, and computational pathology practitioners in order to facilitate progress in the field. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
format Online
Article
Text
id pubmed-6852275
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley & Sons, Ltd
record_format MEDLINE/PubMed
spelling pubmed-68522752019-11-22 Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association Abels, Esther Pantanowitz, Liron Aeffner, Famke Zarella, Mark D van der Laak, Jeroen Bui, Marilyn M Vemuri, Venkata NP Parwani, Anil V Gibbs, Jeff Agosto‐Arroyo, Emmanuel Beck, Andrew H Kozlowski, Cleopatra J Pathol Review In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated patient data to extract information. This review offers a historical perspective and describes the potential clinical benefits from research and applications in this field, as well as significant obstacles to adoption. Best practices for implementing computational pathology workflows are presented. These include infrastructure considerations, acquisition of training data, quality assessments, as well as regulatory, ethical, and cyber‐security concerns. Recommendations are provided for regulators, vendors, and computational pathology practitioners in order to facilitate progress in the field. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. John Wiley & Sons, Ltd 2019-09-03 2019-11 /pmc/articles/PMC6852275/ /pubmed/31355445 http://dx.doi.org/10.1002/path.5331 Text en © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Abels, Esther
Pantanowitz, Liron
Aeffner, Famke
Zarella, Mark D
van der Laak, Jeroen
Bui, Marilyn M
Vemuri, Venkata NP
Parwani, Anil V
Gibbs, Jeff
Agosto‐Arroyo, Emmanuel
Beck, Andrew H
Kozlowski, Cleopatra
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
title Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
title_full Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
title_fullStr Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
title_full_unstemmed Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
title_short Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
title_sort computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852275/
https://www.ncbi.nlm.nih.gov/pubmed/31355445
http://dx.doi.org/10.1002/path.5331
work_keys_str_mv AT abelsesther computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT pantanowitzliron computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT aeffnerfamke computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT zarellamarkd computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT vanderlaakjeroen computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT buimarilynm computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT vemurivenkatanp computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT parwanianilv computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT gibbsjeff computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT agostoarroyoemmanuel computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT beckandrewh computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation
AT kozlowskicleopatra computationalpathologydefinitionsbestpracticesandrecommendationsforregulatoryguidanceawhitepaperfromthedigitalpathologyassociation