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ISSN: 2353-6942
Health Problems of Civilization Physical activity: diseases and issues recognized by the WHO
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2/2024
vol. 18
 
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DISEASES AND PROBLEMS DISTINGUISHED BY WHO AND FAO
Case report

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

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

  1. Department of Laboratory Medicine, Medical University of Warsaw, Poland
  2. Students Scientific Group of Laboratory Medicine, Medical University of Warsaw, Warsaw, Poland
Health Prob Civil. 2024; 18(2): 174-179
Online publish date: 2024/01/29
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1. Cieluch B, Urbanowicz B, Nahaczewska W, Bil-Lula I. [Myelodysplastic syndromes – current diagnostics]. Diagn Lab. 2019; 55(1): 35-42 (in Polish). https://doi.org/10.5604/01.3001.0013.7329
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
6. Tefferi A, Hanson CA, Inwards DJ. How to interpret and pursue an abnormal complete blood cell count in adults. Mayo Clin Proc. 2005; 80(7): 923-36. https://doi.org/10.4065/80.7.923
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.

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