Literature DB >> 28685840

European LeukemiaNet study on the reproducibility of bone marrow features in masked polycythemia vera and differentiation from essential thrombocythemia.

Hans Michael Kvasnicka1, Attilio Orazi2, Juergen Thiele3, Giovanni Barosi4, Carlos E Bueso-Ramos5, Alessandro M Vannucchi6, Robert P Hasserjian7, Jean-Jacques Kiladjian8, Umberto Gianelli9, Richard Silver10, Tariq I Mughal11, Tiziano Barbui12.   

Abstract

The purpose of the study was to assess consensus and interobserver agreement among an international panel of six hematopathologists regarding characterization and reproducibility of bone marrow (BM) histologic features used to diagnose early stage myeloproliferative neoplasms, in particular differentiation of so-called masked/prodromal polycythemia vera (mPV) from JAK2-mutated essential thrombocythemia (ET). The six members of the hematopathology panel evaluated 98 BM specimens independently and in a blinded fashion without knowledge of clinical data. The specimens included 48 cases of mPV according to the originally published hemoglobin threshold values for this entity (male: 16.0-18.4 g/dL, female: 15.0-16.4 g/dL), 31 cases with overt PV according to the updated 2016 WHO criteria, and 19 control cases. The latter group included cases of JAK2-mutated ET, primary myelofibrosis, myelodysplastic syndrome, and various reactive conditions. Inter-rater agreement between the panelists was very high (overall agreement 92.6%, kappa 0.812), particularly with respect to separating mPV from ET. Virtually all cases of mPV were correctly classified as PV according to their BM morphology. In conclusion, a central blinded review of histology slides by six hematopathologists demonstrated that highly reproducible specific histological pattern characterize PV and confirmed the notion that there are no significant differences between mPV and overt PV in relation to BM morphology.
© 2017 Wiley Periodicals, Inc.

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Year:  2017        PMID: 28685840     DOI: 10.1002/ajh.24837

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  10 in total

1.  Masked polycythemia vera: analysis of a single center cohort of 2480 red cell masses.

Authors:  Nabih Maslah; Juliette Soret; Christine Dosquet; Laetitia Vercellino; Célia Belkhodja; Marie-Hélène Schlageter; Bruno Cassinat; Jean-Jacques Kiladjian; Christine Chomienne; Stephane Giraudier
Journal:  Haematologica       Date:  2019-08-14       Impact factor: 9.941

Review 2.  Philadelphia chromosome-negative classical myeloproliferative neoplasms: revised management recommendations from European LeukemiaNet.

Authors:  Tiziano Barbui; Ayalew Tefferi; Alessandro M Vannucchi; Francesco Passamonti; Richard T Silver; Ronald Hoffman; Srdan Verstovsek; Ruben Mesa; Jean-Jacques Kiladjian; Rȕdiger Hehlmann; Andreas Reiter; Francisco Cervantes; Claire Harrison; Mary Frances Mc Mullin; Hans Carl Hasselbalch; Steffen Koschmieder; Monia Marchetti; Andrea Bacigalupo; Guido Finazzi; Nicolaus Kroeger; Martin Griesshammer; Gunnar Birgegard; Giovanni Barosi
Journal:  Leukemia       Date:  2018-02-27       Impact factor: 11.528

3.  Time for revival of the red blood cell count and red cell mass in the differential diagnosis between essential thrombocythemia and polycythemia vera?

Authors:  Hans Carl Hasselbalch
Journal:  Haematologica       Date:  2019-11       Impact factor: 9.941

Review 4.  The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussion.

Authors:  Tiziano Barbui; Jürgen Thiele; Heinz Gisslinger; Hans Michael Kvasnicka; Alessandro M Vannucchi; Paola Guglielmelli; Attilio Orazi; Ayalew Tefferi
Journal:  Blood Cancer J       Date:  2018-02-09       Impact factor: 11.037

Review 5.  Essential thrombocythemia treatment algorithm 2018.

Authors:  Ayalew Tefferi; Alessandro M Vannucchi; Tiziano Barbui
Journal:  Blood Cancer J       Date:  2018-01-10       Impact factor: 11.037

Review 6.  Polycythemia vera treatment algorithm 2018.

Authors:  Ayalew Tefferi; Alessandro M Vannucchi; Tiziano Barbui
Journal:  Blood Cancer J       Date:  2018-01-10       Impact factor: 11.037

7.  Distinguishing essential thrombocythemia JAK2V617F from polycythemia vera: limitations of erythrocyte values.

Authors:  Richard T Silver; Spencer Krichevsky
Journal:  Haematologica       Date:  2019-04-04       Impact factor: 9.941

8.  Automated diagnostic support system with deep learning algorithms for distinction of Philadelphia chromosome-negative myeloproliferative neoplasms using peripheral blood specimen.

Authors:  Konobu Kimura; Tomohiko Ai; Yuki Horiuchi; Akihiko Matsuzaki; Kumiko Nishibe; Setsuko Marutani; Kaori Saito; Kimiko Kaniyu; Ikki Takehara; Kinya Uchihashi; Akimichi Ohsaka; Yoko Tabe
Journal:  Sci Rep       Date:  2021-02-09       Impact factor: 4.379

9.  [Pathological characteristics of megakaryocytes in myeloproliferative neoplasms and their correlation with driver gene mutations].

Authors:  Z X Shi; P H Zhang; B Li; L H Fang; Z F Xu; T J Qin; J Q Liu; N B Hu; L J Pan; S Q Qu; D Liu; Z J Xiao
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2020-10-14

10.  Essential Thrombocythemia in Children: A Retrospective Study.

Authors:  Muhammed Ameen; Khawar Siddiqui; Saadiya Khan; Mahasen Saleh; Abdullah Al-Jefri; Abdulrahman Al-Musa
Journal:  J Hematol       Date:  2021-06-16
  10 in total

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