Geodesic
Diagnostics of the AML with immunophenotypical data
A. Plesa1 ; G. Ciuperca2 ; V. Louvet2 ; L. Pujo-Menjouet2 ; S. Génieys2 ; C. Dumontet1 ; X. Thomas1 ; V. Volpert1
1 Service d'Hématologie clinique, Hospices Civils de Lyon, 69003 Lyon, France
2 Université de Lyon, Université Lyon 1, CNRS UMR 5208 Institut Camille Jordan F - 69200 Villeurbanne Cedex, France
Mathematical modelling of natural phenomena, Tome 1 (2006) no. 2, pp. 104-123

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Patients with acute myeloblastic leukemia (AML) are divided according to the French American British (FAB) classification into eight subgroups (M0 to M7) on the basis of their degree of maturation/differentiation. However, even if immunophenotypical characterization by flow cytometry is routinely used to distinguish between AML and acute lymphoblastic leukemia (ALL), it is not yet well established for the identification within the AML subgroups. Here we show that certain subgroups of AML can be identified with a good accuracy (80% of the patients we analyzed) by means of the expression of specific markers.
DOI : 10.1051/mmnp:2008006

A. Plesa 1 ; G. Ciuperca 2 ; V. Louvet 2 ; L. Pujo-Menjouet 2 ; S. Génieys 2 ; C. Dumontet 1 ; X. Thomas 1 ; V. Volpert 1

1 Service d'Hématologie clinique, Hospices Civils de Lyon, 69003 Lyon, France
2 Université de Lyon, Université Lyon 1, CNRS UMR 5208 Institut Camille Jordan F - 69200 Villeurbanne Cedex, France 
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     title = {Diagnostics of the {AML} with immunophenotypical data},
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A. Plesa; G. Ciuperca; V. Louvet; L. Pujo-Menjouet; S. Génieys; C. Dumontet; X. Thomas; V. Volpert. Diagnostics of the AML with immunophenotypical data. Mathematical modelling of natural phenomena, Tome 1 (2006) no. 2, pp. 104-123. doi: 10.1051/mmnp:2008006

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