Digital morphology analyzers in hematology: ICSH review and recommendations
Autor: | Szu-Hee Lee, Jurgen A Riedl, Gina Zini, Samuel J. Machin, Mina Hur, Alexander Kratz |
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Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
Hematology Standardization business.industry Computer science Biochemistry (medical) Clinical Biochemistry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Digital imaging General Medicine 030204 cardiovascular system & hematology File format 03 medical and health sciences Digital image Laboratory.hematology 0302 clinical medicine Software Internal medicine medicine Medical physics business Quality assurance 030215 immunology |
Zdroj: | International Journal of Laboratory Hematology. |
ISSN: | 1751-553X 1751-5521 |
DOI: | 10.1111/ijlh.13042 |
Popis: | Introduction 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. Methods 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. Results 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. Conclusion 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. |
Databáze: | OpenAIRE |
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