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Publication year
2013Author(s)
Source
Virchows Archiv, 462, 1, (2013), pp. 27-37ISSN
Publication type
Article / Letter to editor
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Organization
Pathology
Human Genetics
Journal title
Virchows Archiv
Volume
vol. 462
Issue
iss. 1
Page start
p. 27
Page end
p. 37
Subject
NCMLS 6: Genetics and epigenetic pathways of disease ONCOL 3: Translational research; ONCOL 1: Hereditary cancer and cancer-related syndromes; ONCOL 3: Translational research; ONCOL 3: Translational research IGMD 9: Renal disorder; ONCOL 3: Translational research NCMLS 3: Tissue engineering and pathologyAbstract
Molecular pathology is an integral part of daily diagnostic pathology and used for classification of tumors, for prediction of prognosis and response to therapy, and to support treatment decisions. For these reasons, analyses in molecular pathology must be highly reliable and hence external quality assessment (EQA) programs are called for. Several EQA programs exist to which laboratories can subscribe, but they vary in scope, number of subscribers, and execution. The guideline presented in this paper has been developed with the purpose to harmonize EQA in molecular pathology. It presents recommendations on how an EQA program should be organized, provides criteria for a reference laboratory, proposes requirements for EQA test samples, and defines the number of samples needed for an EQA program. Furthermore, a system for scoring of the results is proposed as well as measures to be taken for poorly performing laboratories. Proposals are made regarding the content requirements of an EQA report and how its results should be communicated. Finally, the need for an EQA database and a participant manual are elaborated. It is the intention of this guideline to improve EQA for molecular pathology in order to provide more reliable molecular analyses as well as optimal information regarding patient selection for treatment.
This item appears in the following Collection(s)
- Academic publications [238441]
- Electronic publications [122537]
- Faculty of Medical Sciences [90373]
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