Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network
Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network
复制标题
多中心医院网络中常规组织病理学诊断的完整数字病理学
DOI:
10.5858/arpa.2018-0541-oa
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发表时间:
2020-02-01
影响因子:
4.6
通讯作者:
del Moral, Raimundo G.
中科院分区:
文献类型:
--
作者:
Antonio Retamero, Juan;Aneiros-Fernandez, Jose;del Moral, Raimundo G.
Context.-Complete digital pathology and whole slide imaging for routine histopathology diagnosis is currently in use in few laboratories worldwide. Granada University Hospitals, Spain, which comprises 4 hospitals, adopted full digital pathology for primary histopathology diagnosis in 2016.Objective.-To describe the methodology adopted and the resulting experience at Granada University Hospitals in transitioning to full digital diagnosis.Design.-All histopathology glass slides generated for routine diagnosis were digitized at x40 using the Philips IntelliSite Pathology Solution, which includes an ultrafast scanner and an image management system. All hematoxylin-eosin-stained preparations and immunohistochemistry and histochemistry slides were digitized. The existing sample-tracking software and image management system were integrated to allow data interchange through the Health Level 7 protocol.Results.-Circa 160 000 specimens have been signed out using digital pathology for primary diagnosis. This comprises more than 800 000 digitized glass slides. The scanning error rate during the implementation phase was below 1.5%, and subsequent workflow optimization rendered this rate negligible. Since implementation, Granada University Hospitals pathologists have signed out 21% more cases per year on average.Conclusions.-Digital pathology is an adequate medium for primary histopathology diagnosis. Successful digitization relies on existing sample tracking and integration of the information technology infrastructure. Rapid and reliable scanning at x40 equivalent was key to the transition to a fully digital workflow. Digital pathology resulted in efficiency gains in the preanalytical and analytical phases, and created the basis for computational pathology: the use of computer-assisted tools to aid diagnosis.