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Scientific and Regulatory Policy Committee (SRPC) paper: validation of digital pathology systems in the regulated nonclinical environment.
Long, Richard E; Smith, Adam; Machotka, Sam V; Chlipala, Elizabeth; Cann, Jennifer; Knight, Brian; Kawano, Yoshihiro; Ellin, Jesus; Lowe, Amanda.
Afiliação
  • Long RE; Charles River Laboratories, Lees Summit, MO 64082, USA. richard.long@crl.com
Toxicol Pathol ; 41(1): 115-24, 2013 Jan.
Article em En | MEDLINE | ID: mdl-22723045
ABSTRACT
Digital Pathology Systems (DPS) are dynamic, image-based computer systems that enable the acquisition, management, and interpretation of pathology information generated from digitized glass slides. This article provides a roadmap for (1) qualification of a whole slide scanner (WSS) during a validation project, (2) validation of software required to generate the whole slide image (WSI), and (3) an introduction to visual digital image evaluation and image analysis. It describes a validation approach that can be utilized when validating a DPS. It is not the intent of this article to provide guidance on when validation of DPS is required. Rather, the article focuses on technical aspects of validation of the WSS system (WSS, IT infrastructure, and associated software) portion of a DPS and covers the processes of setting up the WSS for scanning a glass slide through saving a WSI on a server. Validation of a computerized system, such as a DPS, for use in a regulated nonclinical environment is governed by Code of Federal Regulations (CFR) Title 21 part 11 Electronic Records; Electronic Signature and predicate rules associated with Good Laboratory Practices documents including 21 CFR part 58. Similar regulation and predicate rules apply in the European Union and Japan.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia / Processamento de Imagem Assistida por Computador / Aplicações da Informática Médica / Técnicas Histológicas Tipo de estudo: Diagnostic_studies / Guideline Limite: Animals / Humans Idioma: En Revista: Toxicol Pathol Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia / Processamento de Imagem Assistida por Computador / Aplicações da Informática Médica / Técnicas Histológicas Tipo de estudo: Diagnostic_studies / Guideline Limite: Animals / Humans Idioma: En Revista: Toxicol Pathol Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Estados Unidos