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Morphological Differential Diagnosis of Primary Myelofibrosis and Essential Thrombocythemia with Computer Cluster Analysis of a Megakaryocytic Lineage in Myeloid Tissue

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Abstract

The DBSCAN clustering algorithm, an in-house method of unsupervised machine learning, was used to explore specific histotopographical features of the megakaryocytic lineage in the bone marrow biopsies of patients with JAK2- or CALR-mutated essential thrombocythemia and prefibrotic primary myelofibrosis. Ninety-five bone marrow biopsies of patients with essential thrombocythemia and primary myelofibrosis were investigated to assess the histotopography of megakaryocytes, specifically, the mean number of megakaryocytes in one cluster, as well as the mean number of clusters and megakaryocytes per 1 mm2 of section area. The logistic regression model was statistically significant: χ2 = 14.703, p = 0.023, Nagelkerke R2 = 19.6%. Analysis of the histotopographical features of megakaryocytes allowed correct differentiation between essential thrombocythemia and primary myelofibrosis in 71.6% cases. The differences in the histotopographical features of megakaryocytes in the bone marrow of with JAK2- or CALR-mutated essential thrombocythemia and primary myelofibrosis revealed by the DBSCAN clustering algorithm indicate that a relationship exists between the disease and the pattern of megakaryocytic lineage development that can be used to create a logistic regression model for differentiating these diseases.

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Authors and Affiliations

  1. Mechnikov Northwestern State Medical University, 191015, St. Petersburg, Russia

    Z. P. Asaulenko & Yu. A. Krivolapov

  2. Russian Research Institute of Hematology and Transfusiology, 191024, St. Petersburg, Russia

    L. B. Polushkina

  3. St. Petersburg State University, 199034, St. Petersburg, Russia

    A. I. Lepsky

Authors
  1. Z. P. Asaulenko
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  2. L. B. Polushkina
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  3. A. I. Lepsky
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  4. Yu. A. Krivolapov
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Contributions

Z.P.A. and Yu.A.K. elaborated the study concept and and design; the material was collected and processed by Z.P.A., L.B.P., and A.I.L.; the manuscript was written by Z.P.A. and Yu.A.K. and edited by Yu.A.K.

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Correspondence to Z. P. Asaulenko.

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Conflict of interests. The authors declare that they have no conflict of interest.

Statement of compliance with standards of research involving humans as subjects. All procedures involving human participants were performed in accordance with the ethical standards of the 1964 Helsinki Declaration and its later amendments. Informed consent was obtained from all individual participants involved in the study.

Additional information

Translated by D. Timchenko

Abbreviations used: ET, essential thrombocythemia; PMF, primary myelofibrosis; MPN, myeloproliferative neoplasm; prePMF, prefibrotic stage of primary myelofibrosis.

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Asaulenko, Z.P., Polushkina, L.B., Lepsky, A.I. et al. Morphological Differential Diagnosis of Primary Myelofibrosis and Essential Thrombocythemia with Computer Cluster Analysis of a Megakaryocytic Lineage in Myeloid Tissue. BIOPHYSICS 65, 676–680 (2020). https://doi.org/10.1134/S000635092004003X

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  • DOI: https://doi.org/10.1134/S000635092004003X

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