Digital morphology analyzers in hematology: ICSH review and recommendations.

digital imaging laboratory hematology laboratory standards recommendations

Journal

International journal of laboratory hematology
ISSN: 1751-553X
Titre abrégé: Int J Lab Hematol
Pays: England
ID NLM: 101300213

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 08 01 2019
revised: 25 03 2019
accepted: 04 04 2019
pubmed: 3 5 2019
medline: 18 12 2019
entrez: 3 5 2019
Statut: ppublish

Résumé

Morphological assessment of the blood smear has been performed by conventional manual microscopy for many decades. Recently, rapid progress in digital imaging and information technology has led to the development of automated methods of digital morphological analysis of blood smears. A panel of experts in laboratory hematology reviewed the literature on the use of digital imaging and other strategies for the morphological analysis of blood smears. The strengths and weaknesses of digital imaging were determined, and recommendations on improvement were proposed. By preclassifying cells using artificial intelligence algorithms, digital image analysis automates the blood smear review process and enables faster slide reviews. Digital image analyzers also allow remote networked laboratories to transfer images rapidly to a central laboratory for review, and facilitate a variety of essential work functions in laboratory hematology such as consultations, digital image archival, libraries, quality assurance, competency assessment, education, and training. Different instruments from several manufacturers are available, but there is a lack of standardization of staining methods, optical magnifications, color and display characteristics, hardware, software, and file formats. In order to realize the full potential of Digital Morphology Hematology Analyzers, pre-analytic, analytic, and postanalytic parameters should be standardized. Manufacturers of new instruments should focus on improving the accuracy of cell preclassifications, and the automated recognition and classification of pathological cell types. Cutoffs for grading morphological abnormalities should depend on clinical significance. With all current devices, a skilled morphologist remains essential for cell reclassification and diagnostic interpretation of the blood smear.

Identifiants

pubmed: 31046197
doi: 10.1111/ijlh.13042
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

437-447

Subventions

Organisme : ICSH

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

© 2019 John Wiley & Sons Ltd.

Auteurs

Alexander Kratz (A)

Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, New York.

Szu-Hee Lee (SH)

St George Hospital, University of New South Wales, Sydney, New South Wales, Australia.

Gina Zini (G)

Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Rome, Italy.

Jurgen A Riedl (JA)

Department of Clinical Chemistry and Haematology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.

Mina Hur (M)

Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.

Sam Machin (S)

University College, London, UK.

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Classifications MeSH