Literature DB >> 2927174

Diagnostic significance of dysplastic features of peripheral blood polymorphs in myelodysplastic syndromes.

R Hast1, I Nilsson, S Widell, A Ost.   

Abstract

Dysplastic features of peripheral blood granulocytes were studied to investigate the diagnostic value estimating cytoplasmatic hypogranulation and nuclear abnormalities of the pelgeroid type in myelodysplastic syndromes (MDS). Hypogranulation was measure both as the percentage of agranular neutrophils and as a score value, taking into account also cells with slight or moderate hypogranulation. We studied 62 cases of MDS (18 refractory anemia, 11 sideroblastic anemia, 26 refractory anemia with excess of blasts, three chronic myelomonocytic leukemias, four refractory anemia with excess of blasts in transformation). For comparison we studied 13 cases of myeloproliferative disorders, 18 patients with different forms of anemia and 20 normal controls. Reference values were defined as the 95% probability limit of the mean values of normal controls. In MDS 52/62 patients (84%) had increased numbers of pelgeroid cells, 40/62 (65%) had abnormal granulation scores while only 14/62 (23%) had increased percentages of agranular neutrophils. The mean granulation score (+/- S.D.) in MDS (225.0 +/- 57.4), was significantly lower (p less than 0.001) than in myeloproliferative disorders (282.7 +/- 9.0), anemias (288.8 +/- 8.0) and normal controls (281.7 +/- 12.9). Pelgeroid neutrophils were significantly (p less than 0.001) more common in MDS (11.6% +/- 7.8) compared to myeloproliferative disorders (1.1% +/- 1.0), anemias (3.1% +/- 2.0) and normal controls (1.9% +/- 1.5). There was no significant correlation between the degree of hypogranulation and the percentages of pelgeroid cells in individual patients. Hypogranulation tended to be more pronounced in the more immature forms of MDS while pelgeroid cells were equally common in the different subgroups. When the two parameters were combined peripheral blood dysplasia was recognized in 92% of the MDS cases. The results suggest that quantitative estimation of hypogranulation and of nuclear abnormalities in peripheral blood polymorphs are simple and valuable diagnostic tools in MDS.

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Year:  1989        PMID: 2927174     DOI: 10.1016/0145-2126(89)90142-2

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  7 in total

1.  Serial morphologic observation of bone marrow in aplastic anemia in children.

Authors:  Fumio Bessho; Shinsaku Imashuku; Shigeyoshi Hibi; Masahiro Tsuchida; Tatsutoshi Nakahata; Sumio Miyazaki; Seiji Kojima; Ichiro Tsukimoto; Nobuyuki Hamajima
Journal:  Int J Hematol       Date:  2005-06       Impact factor: 2.490

Review 2.  Nuances of Morphology in Myelodysplastic Diseases in the Age of Molecular Diagnostics.

Authors:  Aaron C Shaver; Adam C Seegmiller
Journal:  Curr Hematol Malig Rep       Date:  2017-10       Impact factor: 3.952

3.  Reduced CD43 expression on the neutrophils of MDS patients correlates with an activated phenotype of these cells.

Authors:  Despina Kyriakou; Michael G Alexandrakis; Elias S Kyriakou; Dimitra Liapi; Taxiarchis V Kourelis; M Mavromanolakis; Ioannis Vlachonikolis; Polyvios Eliakis
Journal:  Int J Hematol       Date:  2001-06       Impact factor: 2.490

4.  Clonality investigation of morphologically dysplastic hematopoietic cells in myelodysplastic syndrome marrows.

Authors:  Xiao Li; Lingyun Wu; Shaoxu Ying; Chunkang Chang; Quan Pu
Journal:  Int J Hematol       Date:  2008-02-07       Impact factor: 2.490

Review 5.  Importance of classical morphology in the diagnosis of myelodysplastic syndrome.

Authors:  Rosangela Invernizzi; Federica Quaglia; Matteo Giovanni Della Porta
Journal:  Mediterr J Hematol Infect Dis       Date:  2015-05-01       Impact factor: 2.576

6.  Flow cytometric analysis of neutrophil myeloperoxidase expression in peripheral blood for ruling out myelodysplastic syndromes: a diagnostic accuracy study.

Authors:  Tatiana Raskovalova; Marc G Berger; Marie-Christine Jacob; Sophie Park; Lydia Campos; Carmen Mariana Aanei; Julie Kasprzak; Bruno Pereira; José Labarère; Jean-Yves Cesbron; Richard Veyrat-Masson
Journal:  Haematologica       Date:  2019-04-19       Impact factor: 9.941

7.  A novel automated image analysis system using deep convolutional neural networks can assist to differentiate MDS and AA.

Authors:  Konobu Kimura; Yoko Tabe; Tomohiko Ai; Ikki Takehara; Hiroshi Fukuda; Hiromizu Takahashi; Toshio Naito; Norio Komatsu; Kinya Uchihashi; Akimichi Ohsaka
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

  7 in total

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