BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 36922282)

  • 1. Combination of NeuX and NeuZ can predict neutrophil dysplasia features of myelodysplastic neoplasms in peripheral blood.
    Sun P; Li N; Zhang S; Liu S; Zhang H; Yue B
    Int J Lab Hematol; 2023 Aug; 45(4):522-527. PubMed ID: 36922282
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The utility of the Sysmex XE-2100 analyzer's NEUT-X and NEUT-Y parameters for detecting neutrophil dysplasia in myelodysplastic syndromes.
    Furundarena JR; Araiz M; Uranga M; Sainz MR; Agirre A; Trassorras M; Uresandi N; Montes MC; Argoitia N
    Int J Lab Hematol; 2010 Jun; 32(3):360-6. PubMed ID: 19906272
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Complete blood count and cell population data parameters from the Abbott Alinity hq analyzer are useful in differentiating myelodysplastic syndromes from other forms of cytopenia.
    Hwang SM; Nam Y
    Int J Lab Hematol; 2022 Jun; 44(3):468-476. PubMed ID: 34877795
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Flow cytometric analysis of peripheral blood neutrophil myeloperoxidase expression for ruling out myelodysplastic syndromes: a prospective validation study.
    Raskovalova T; Jacob MC; Bulabois CE; Mariette C; Scheffen L; Park S; Labarère J
    Ann Hematol; 2021 May; 100(5):1149-1158. PubMed ID: 33569703
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated leukocyte parameters are useful in the assessment of myelodysplastic syndromes.
    Shestakova A; Nael A; Nora V; Rezk S; Zhao X
    Cytometry B Clin Cytom; 2021 May; 100(3):299-311. PubMed ID: 33002332
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning-based improvement of MDS-CBC score brings platelets into the limelight to optimize smear review in the hematology laboratory.
    Zhu J; Lemaire P; Mathis S; Ronez E; Clauser S; Jondeau K; Fenaux P; Adès L; Bardet V
    BMC Cancer; 2022 Sep; 22(1):972. PubMed ID: 36088307
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Beyond the routine CBC: machine learning and statistical analyses identify research CBC parameter associations with myelodysplastic syndromes and specific underlying pathogenic variants.
    Pozdnyakova O; Niculescu RS; Kroll T; Golemme L; Raymond N; Briggs D; Kim A
    J Clin Pathol; 2023 Sep; 76(9):624-631. PubMed ID: 35577566
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Flow cytometric analysis of neutrophil myeloperoxidase expression in peripheral blood for ruling out myelodysplastic syndromes: a diagnostic accuracy study.
    Raskovalova T; Berger MG; Jacob MC; Park S; Campos L; Aanei CM; Kasprzak J; Pereira B; Labarère J; Cesbron JY; Veyrat-Masson R
    Haematologica; 2019 Dec; 104(12):2382-2390. PubMed ID: 31004030
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Peripheral blood neutrophil morphology reflects bone marrow dysplasia in myelodysplastic syndromes.
    Widell S; Hellström-Lindberg E; Kock Y; Lindberg M; Ost A; Hast R
    Am J Hematol; 1995 Jun; 49(2):115-20. PubMed ID: 7771462
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated neutrophil morphology and its utility in the assessment of neutrophil dysplasia.
    Miguel A; Orero M; Simon R; Collado R; Perez PL; Pacios A; Iglesias R; Martinez A; Carbonell F
    Lab Hematol; 2007; 13(3):98-102. PubMed ID: 17984041
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Role of New Morphological Parameters Provided by the BC 6800 Plus Analyzer in the Early Diagnosis of Sepsis.
    Sacchetti S; Vidali M; Esposito T; Zorzi S; Burgener A; Ciccarello L; Cammarota G; Zanotti V; Giacomini L; Bellan M; Pirisi M; Lopez RS; Dianzani U; Vaschetto R; Rolla R
    Diagnostics (Basel); 2024 Feb; 14(3):. PubMed ID: 38337856
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diagnostic significance of dysplastic features of peripheral blood polymorphs in myelodysplastic syndromes.
    Hast R; Nilsson I; Widell S; Ost A
    Leuk Res; 1989; 13(2):173-8. PubMed ID: 2927174
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [The Utility of XE-2 100 Analyzer's NEUT-X and NEUT-Y Parameters for Detecting Neutrophil Dysplasia in Myelodysplastic Syndromes].
    Isono S; Okamur A; Iwamoto M; ImaiJunko IMAI ; Nagata K; Akishino T; Okamura A; Kawamoto S; Kono M; Sugimoto T; Saigo K
    Rinsho Byori; 2016 Jan; 64(1):21-6. PubMed ID: 27192792
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Physician Education: Myelodysplastic Syndrome.
    Yoshida Y
    Oncologist; 1996; 1(4):284-287. PubMed ID: 10388004
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated screening for myelodysplastic syndromes through analysis of complete blood count and cell population data parameters.
    Raess PW; van de Geijn GJ; Njo TL; Klop B; Sukhachev D; Wertheim G; McAleer T; Master SR; Bagg A
    Am J Hematol; 2014 Apr; 89(4):369-74. PubMed ID: 24276948
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neutrophil dysplasia is not a specific feature of the abnormal chromosomal clone in myelodysplastic syndromes.
    Hast R; Eriksson M; Widell S; Arvidsson I; Bemell P
    Leuk Res; 1999 Jun; 23(6):579-84. PubMed ID: 10374851
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Distinct neutrophil subpopulations phenotype by flow cytometry in myelodysplastic syndromes.
    Vikentiou M; Psarra K; Kapsimali V; Liapis K; Michael M; Tsionos K; Lianidou E; Papasteriades C
    Leuk Lymphoma; 2009 Mar; 50(3):401-9. PubMed ID: 19294559
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Abnormal neutrophil scattergram obtained using Pentra MS CRP in the patients with myelodysplastic syndrome showing dysgranulopoiesis.
    Inaba T; Ishizuka K; Yuasa S; Mishima N; Ogura K; Saito K; Kohno T; Fujitomo Y; Nakanishi M; Fujita N
    Int J Lab Hematol; 2016 Feb; 38(1):27-33. PubMed ID: 26333345
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical utility of the neutrophil distribution pattern obtained using the CELL-DYN SAPPHIRE hematology analyzer for the diagnosis of myelodysplastic syndrome.
    Inaba T; Yuki Y; Yuasa S; Fujita N; Yoshitomi K; Kamisako T; Torii K; Okada T; Urasaki Y; Ueda T; Tohyama K
    Int J Hematol; 2011 Aug; 94(2):169-177. PubMed ID: 21732036
    [TBL] [Abstract][Full Text] [Related]  

  • 20. "Bone marrow aspirate automated counts on hematology analyzers: formulating a scoring system based on hematology parameters, to discriminate reactive versus myelodysplastic syndrome-related bone marrows".
    Tsagarakis NJ; Paterakis G; Papadhimitriou SI; Kritikou-Griva E; Goumakou E; Oudatzis G; Theodorakos I; Vasileiou P
    Int J Lab Hematol; 2019 Aug; 41(4):542-549. PubMed ID: 31102331
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.