MYELODYSPLASTIC SYNDROME NOT OTHERWISE CLASSIFIED. DO AUTOMATIC METHODS CORRELATE WITH THE MICROSCOPIC METHOD OF BLOOD SMEAR ASSESSMENT?

Milena Małecka-Giełdowska; Katarzyna Poreda; Agata Skwarek; Michalina Lulek

doi:10.5114/hpc.2023.133623

eISSN: 2354-0265
ISSN: 2353-6942

Health Problems of Civilization Physical activity: diseases and issues recognized by the WHO

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Sarajevo Declaration on Integrity and Visibility of Scholarly Publications

2/2024
vol. 18

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Opis przypadku

ZESPÓŁ MIELODYSPLASTYCZNY NIESKLASYFIKOWANY INACZEJ. CZY METODY AUTOMATYCZNE KORELUJĄ Z METODĄ MIKROSKOPOWĄ OCENY ROZMAZU KRWI?

Milena Małecka-Giełdowska

¹

,

Katarzyna Poreda

²

,

Agata Skwarek

²

,

Michalina Lulek

²

Department of Laboratory Medicine, Medical University of Warsaw, Poland
Students Scientific Group of Laboratory Medicine, Medical University of Warsaw, Warsaw, Poland

Health Prob Civil. 2024; 18(2): 174-179

DOI: https://doi.org/10.5114/hpc.2023.133623

Data publikacji online: 2024/01/29

Plik artykułu:

- HPC_2 2024_Art 7_Małecka_Giełdowska.pdf [0.69 MB]

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Metryki PlumX:

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2. Chiereghin C, Travaglino E, Zampini M, Saba E, Saitta C, Riva E, et al. The genetics of myelodysplastic syndromes: clinical relevance. Genes. 2021; 12(8): 1144. https://doi.org/10.3390/genes12081144

3. Shamila FS, Packirisamy M, Ayyakkannu P. Comparison of manual versus automated data collection method for haematological parameters. Biomed J Sci & Tech Res. 2019; 15(3): 11372-11376. https://doi.org/10.26717/BJSTR.2019.15.002702

4. Merino A, Laguna J, Rodríguez-García M, Julian J, Casanova A, Molina A. Performance of the new MC-80 automated digital cell morphology analyser in detection of normal and abnormal blood cells: comparison with the CellaVision DM9600. Int J Lab Hematol. Forthcoming 2023. Epub 2023 Sep 25. https://doi.org/10.1111/ijlh.14178

5. Invernizzi R, Quaglia F, Porta MG. Importance of classical morphology in the diagnosis of myelodysplastic syndrome. Mediterr J Hematol Infect Dis. 2015; 7(1): e2015035. https://doi.org/10.4084/MJHID.2015.035

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7. Bain BJ. Diagnosis from the blood smear. N Engl J Med. 2005; 353(5): 498-507. https://doi.org/10.1056/NEJMra043442

8. Zini G, Mancini F, Rossi E, Landucci S, d’Onofrio G. Artificial intelligence and the blood film: performance of the MC-80 digital morphology analyzer in samples with neoplastic and reactive cell types. Int J Lab Hematol. 2023; 45(6): 881-889. https://doi.org/10.1111/ijlh.14160

9. Nam M, Yoon S, Hur M, Lee GH, Kim H, Park M, et al. Digital morphology analyzer Sysmex DI-60 vs. manual counting for white blood cell differentials in leukopenic samples: a comparative assessment of risk and turnaround time. Ann Lab Med. 2022; 42(4): 398-405. https://doi.org/10.3343/alm.2022.42.4.398

10. Hollenstein M, Tueni A, Wiedermann J, Eisenbock B, Thalhammer R, Haslacher H. Evaluation of the Sysmex DI-60 digital morphology analyzer on Wright-stained samples with a focus on prevalence-dependent quality indicators. Int J Lab Hematol. 2023; 1-9. https://doi.org/10.1111/ijlh.14179

Copyright: © 2024 Pope John Paul II State School of Higher Education in Biała Podlaska. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.

ZESPÓŁ MIELODYSPLASTYCZNY NIESKLASYFIKOWANY INACZEJ. CZY METODY AUTOMATYCZNE KORELUJĄ Z METODĄ MIKROSKOPOWĄ OCENY ROZMAZU KRWI?

Milena Małecka-Giełdowska 1 , Katarzyna Poreda 2 , Agata Skwarek 2 , Michalina Lulek 2

Milena Małecka-Giełdowska

¹

,

Katarzyna Poreda

²

,

Agata Skwarek

²

,

Michalina Lulek

²