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Digital assessment of peripheral blood and bone marrow aspirate smears.
- Source :
-
International journal of laboratory hematology [Int J Lab Hematol] 2023 Jun; Vol. 45 Suppl 2, pp. 50-58. Date of Electronic Publication: 2023 May 21. - Publication Year :
- 2023
-
Abstract
- The diagnosis of benign and neoplastic hematologic disorders relies on analysis of peripheral blood and bone marrow aspirate smears. As demonstrated by the widespread laboratory adoption of hematology analyzers for automated assessment of peripheral blood, digital analysis of these samples provides many significant benefits compared to relying solely on manual review. Nonetheless, analogous instruments for digital bone marrow aspirate smear assessment have yet to be clinically implemented. In this review, we first provide a historical overview detailing the implementation of hematology analyzers for digital peripheral blood assessment in the clinical laboratory, including the improvements in accuracy, scope, and throughput of current instruments over prior generations. We also describe recent research in digital peripheral blood assessment, particularly in the development of advanced machine learning models that may soon be incorporated into commercial instruments. Next, we provide an overview of recent research in digital assessment of bone marrow aspirate smears and how these approaches could soon lead to development and clinical adoption of instrumentation for automated bone marrow aspirate smear analysis. Finally, we describe the relative advantages and provide our vision for the future of digital assessment of peripheral blood and bone marrow aspirate smears, including what improvements we can soon expect in the hematology laboratory.<br /> (© 2023 John Wiley & Sons Ltd.)
- Subjects :
- Humans
Bone Marrow
Hematologic Tests
Bone Marrow Examination
Hematology
Neoplasms
Subjects
Details
- Language :
- English
- ISSN :
- 1751-553X
- Volume :
- 45 Suppl 2
- Database :
- MEDLINE
- Journal :
- International journal of laboratory hematology
- Publication Type :
- Academic Journal
- Accession number :
- 37211430
- Full Text :
- https://doi.org/10.1111/ijlh.14082