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2.
Leukemia ; 37(2): 348-358, 2023 02.
Artigo em Inglês | MEDLINE | ID: mdl-36470992

RESUMO

The grading of fibrosis in myeloproliferative neoplasms (MPN) is an important component of disease classification, prognostication and monitoring. However, current fibrosis grading systems are only semi-quantitative and fail to fully capture sample heterogeneity. To improve the quantitation of reticulin fibrosis, we developed a machine learning approach using bone marrow trephine (BMT) samples (n = 107) from patients diagnosed with MPN or a reactive marrow. The resulting Continuous Indexing of Fibrosis (CIF) enhances the detection and monitoring of fibrosis within BMTs, and aids MPN subtyping. When combined with megakaryocyte feature analysis, CIF discriminates between the frequently challenging differential diagnosis of essential thrombocythemia (ET) and pre-fibrotic myelofibrosis with high predictive accuracy [area under the curve = 0.94]. CIF also shows promise in the identification of MPN patients at risk of disease progression; analysis of samples from 35 patients diagnosed with ET and enrolled in the Primary Thrombocythemia-1 trial identified features predictive of post-ET myelofibrosis (area under the curve = 0.77). In addition to these clinical applications, automated analysis of fibrosis has clear potential to further refine disease classification boundaries and inform future studies of the micro-environmental factors driving disease initiation and progression in MPN and other stem cell disorders.


Assuntos
Transtornos Mieloproliferativos , Policitemia Vera , Mielofibrose Primária , Trombocitemia Essencial , Humanos , Mielofibrose Primária/diagnóstico , Mielofibrose Primária/patologia , Policitemia Vera/patologia , Transtornos Mieloproliferativos/diagnóstico , Transtornos Mieloproliferativos/patologia , Medula Óssea/patologia , Trombocitemia Essencial/diagnóstico , Trombocitemia Essencial/patologia , Fibrose
3.
Br J Haematol ; 138(2): 245-8, 2007 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-17542983

RESUMO

A method for objective quantification of bleeding symptoms in immune thrombocytopenic purpura (ITP) has not been established. The ITP Bleeding Scale (IBLS) is a novel bleeding assessment system comprising 11 site-specific grades. Implementation of the IBLS on 100 patient visits revealed that although platelet count and large platelet count correlated well with bleeding symptoms overall, this relationship disappeared in marked thrombocytopenia. The IBLS is a useful clinical tool for monitoring bleeding and may be used to aid the development of laboratory parameters that correlate with underlying bleeding propensity in thrombocytopenia.


Assuntos
Hemorragia/fisiopatologia , Púrpura Trombocitopênica Idiopática/fisiopatologia , Adolescente , Adulto , Idoso , Plaquetas/fisiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Projetos Piloto , Contagem de Plaquetas , Estudos Prospectivos
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