-
Medical journals
- Career
Artificial intelligence in bone marrow cytomorphology: Morphogo and Scopio
Authors: D. Starostka 1; R. Doležílek 2; K. Chasáková 1; P. Miczková 1; P. Kováč 2
Authors‘ workplace: Laboratoř hematoonkologie a klinické bio chemie, Nemocnice Havířov, p. o. 1; Oddělení patologie, Nemocnice Havířov, p. o. 2
Published in: Transfuze Hematol. dnes,30, 2024, No. 1, p. 49-52.
Category: Letters to Editor
doi: https://doi.org/10.48095/cctahd2024prolekare.cz6
Sources
1. Starostka D, Dolezilek R, Chasakova K. Artificial intelligence increases reliability in diagnostic hematooncology. J Clin Transl Pathol. 2023; 3 (3): 146–147. doi: 10.14218/JCTP.2023. 00015.
2. Zini G, Barbagallo O, Scavone F, Béné MC. Digital morphology in hematology diagnosis and education: The experience of the European LeukemiaNet WP10. Int J Lab Hematol. 2022; 44 (Suppl 1): 37–44. doi: 10.1111/ijlh.13908.
3. Xing Y, Liu X, Dai J, et al. Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood. BMC Med Inform Decis Mak. 2023; 23 (1): 50. doi: 10.1186/s12911-023-02153-z.
4. Kratz A, Lee SH, Zini G, Riedl JA, Hur M, Machin S. International Council for Standardization in Haematology. Digital morphology analyzers in hematology: ICSH review and recommendations. Int J Lab Hematol. 2019; 41 (4): 437–447. doi: 10.1111/ijlh.13042.
5. Jin H, Fu X, Cao X, et al. Developing and preliminary validating an automatic cell classification system for bone marrow smears: a pilot study. J Med Syst. 2020; 44 (10): 184. doi: 10.1007/s10916-020-01654-y.
6. Walter W, Haferlach C, Nadarajah N, et al. How artificial intelligence might disrupt diagnostics in hematology in the near future. Oncogene. 2021; 40 (25): 4271–4280. doi: 10.1038/s41388-021-0 1861-y.
7. Lin E, Fuda F, Luu HS, et al. Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology. Semin Diagn Pathol. 2023; 40 (2): 88–94. doi: 10.1053/j.semdp.2023.02.001.
8. Starostka D, Kriegova E, Kudelka M, et al. Quantitative assessment of informative immunophenotypic markers increases the diagnostic value of immunophenotyping in mature CD5-positive B-cell neoplasms. Cytometry B Clin Cytom. 2018; 94 (4): 576–587. doi: 10.1002/cyto.b. 21607.
9. Bazinet A, Wang A, Li X, et al. Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow. Cytometry B Clin Cytom. 2023. Published on-line: February 23. doi: 10.1002/cyto.b.22116.
10. Fu X, Fu M, Li Q, et al. Morphogo: an automatic bone marrow cell classification system on digital images analyzed by artificial intelligence. Acta Cytol. 2020; 64 (6): 588–596. doi: 10.1159/000509524.
11. Lv Z, Cao X, Jin X, Xu S, Deng H. High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system. Sci Rep. 2023; 13 (1): 13364. doi: 10.1038/s41598-023-40424-x.
12. Wang X, Wang Y, Qi C, et al. The application of Morphogo in the detection of megakaryocytes from bone marrow digital images with convolutional neural networks. Technol Cancer Res Treat. 2023; 22 : 15330338221150069. doi: 10.1177/15330338221150069.
13. Chen P, Chen Xu R, Chen N, et al. Detection of metastatic tumor cells in the bone marrow aspirate smears by artificial intelligence (AI) -based Morphogo system. Front Oncol. 2021; 11 : 742395. doi: 10.3389/fonc.2021.742395.
14. Tang G, Fu X, Wang Z, Chen M. A Machine learning tool using digital microscopy (Morphogo) for the identification of abnormal lymphocytes in the bone marrow. Acta Cytol. 2021; 65 (4): 354–357. doi: 10.1159/000518382.
15. Katz B-Z, Feldman MD, Tessema M, et al. Evaluation of Scopio Labs X100 Full Field PBS: The first high-resolution full field viewing of peripheral blood specimens combined with artificial intelligence-based morphological analysis. Int J Lab Hematol. 2021; 43 (6): 1408–1416. doi: 10.1111/ijlh.13681.
PODÍL AUTORŮ NA PŘÍPRAVĚ RUKOPISU
DS, RD – příprava rukopisuKCH, PM – revize rukopisuPK – příprava obrazové dokumentaceČESTNÉ PROHLÁŠENÍ
Autoři práce prohlašují, že v souvislosti s tématem, vznikem a publikací tohoto článku nejsou ve střetu zájmů a vznik ani publikace článku nebyly podpořeny žádnou farmaceutickou firmou.
Do redakce doručeno dne: 27. 9. 2023.
Přijato po recenzi dne: 24. 10. 2023.MUDr. David Starostka, Ph.D.
Laboratoř hematoonkologie a klinické biochemie
Nemocnice s poliklinikou Havířov, p. o.
Dělnická 1132/24
736 01 Havířov
e-mail: david.starostka@nemhav.czLabels
Haematology Internal medicine Clinical oncology
Article was published inTransfusion and Haematology Today
2024 Issue 1-
All articles in this issue
- Editorial
- Current options of ivosidenib in acute myeloid leukemia
- Therapy targeting CD19 antigen in diffuse large B-cell lymphoma
- Descriptive epidemiology of selected haemato-oncological diseases in the Czech Republic
- Anti-Kpb antibody in pregnancy
- Primary multifocal extramedullary multiple myeloma with a rare cytogentic abnormality
- Artificial intelligence in bone marrow cytomorphology: Morphogo and Scopio
- 16. Střešovický transfuzní den „Krví přenosné infekce – staré i nové hrozby“
- Certifikovaný kurz „Walking Blood Bank“
- Cena České hematologické společnosti ČLS JEP za nejlepší publikaci v oboru hematologie v roce 2023.
- Prof. MUDr. Jaroslav Čermák, CSc. – jubilující
- Jubileum profesora Romana Hájka
- Monoklonální gamapatie klinického významu a další nemoci
- Ibrutinib s venetoklaxem s fixní délkou podávání v první linii léčby CLL – pětiletá data ze studií CAPTIVATE a GLOW
- Možnosti léčby pacientů s AML s nepříznivým rizikem v roce 2024
- Nový inhibitor BTK píše novou kapitolu léčby CLL
- Transfusion and Haematology Today
- Journal archive
- Current issue
- Online only
- About the journal
Most read in this issue- Therapy targeting CD19 antigen in diffuse large B-cell lymphoma
- Descriptive epidemiology of selected haemato-oncological diseases in the Czech Republic
- Artificial intelligence in bone marrow cytomorphology: Morphogo and Scopio
- Primary multifocal extramedullary multiple myeloma with a rare cytogentic abnormality
Login#ADS_BOTTOM_SCRIPTS#Forgotten passwordEnter the email address that you registered with. We will send you instructions on how to set a new password.
- Career