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- W2008103792 abstract "In spite of the impressive advances in the area of molecular pathology, bone marrow morphology remains the diagnosis cornerstone to identify the various subtypes of myeloid neoplasms. Morphological examination of the bone marrow requires both bone marrow aspirate and bone marrow trephine biopsy. Immunohistochemistry of bone marrow biopsy with markers reactive in paraffin-embedded tissues represents a powerful diagnostic tool; its results can be easily correlated with those obtained by other techniques such as flow cytometry and genetic analysis, and above all, the clinical findings. The role of the bone marrow biopsy will be particularly stressed in this review article. Particular emphasis is being given to the correct identification of cases of myeloid neoplasms associated with myelofibrosis and for which the bone marrow biopsy represents the only available diagnostic mean. Moreover, the often low cellular yield of the bone marrow aspirate in these cases may also be insufficient to obtain adequate cytogenetic information. Such cases include two subtypes of acute myeloid leukemia which typically cause diagnostic difficulties: acute megakaryoblastic leukemia and acute panmyelosis with myelofibrosis (acute myelosclerosis). Acute myeloid leukemia with multilineage dysplasia, therapy-related myelodysplastic syndrome/therapy-related acute myeloid leukemia and de novo myelodysplastic syndromes (MDS) will also be discussed. The value of bone marrow biopsy in this group of disorders is generally well established. In MDS, in particular, bone marrow biopsy may help in confirming a suspected diagnosis by excluding reactive conditions in which dyshematopoietic changes may also be observed. It can increase the diagnostic accuracy and helps in refining the IPPS risk evaluation system. Among the alterations detected by bone marrow biopsy, a prognostically important finding is the presence of aggregates or clusters of immature myeloid precursor cells (myeloblasts and promyelocytes). These can also be identified by immunohistochemistry with CD34, an antigen expressed in progenitor and early precursor marrow cells, which can be used to demonstrate pathological accumulations of blasts in aggressive subtypes of myeloid neoplasms. Immunohistologic analysis is especially helpful in cases of MDS with fibrosis and cases with hypocellular marrows (hypoplastic MDS). In both of these variants, the presence of reticulin fibrosis or fatty changes in the bone marrow can make accurate disease characterization very difficult or impossible using bone marrow aspirates. Finally, the important group of the myelodysplastic/myeloproliferative disorders can only be accurately categorized by a careful multiparametric approach in which the bone marrow biopsy exerts a pivotal role." @default.
- W2008103792 created "2016-06-24" @default.
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- W2008103792 date "2007-01-01" @default.
- W2008103792 modified "2023-09-27" @default.
- W2008103792 title "Histopathology in the Diagnosis and Classification of Acute Myeloid Leukemia, Myelodysplastic Syndromes, and Myelodysplastic/Myeloproliferative Diseases" @default.
- W2008103792 cites W1545917122 @default.
- W2008103792 cites W1555752669 @default.
- W2008103792 cites W16103346 @default.
- W2008103792 cites W1756218145 @default.
- W2008103792 cites W1899521092 @default.
- W2008103792 cites W1923887607 @default.
- W2008103792 cites W1955065682 @default.
- W2008103792 cites W1964321079 @default.
- W2008103792 cites W1965217436 @default.
- W2008103792 cites W1973112142 @default.
- W2008103792 cites W1974919527 @default.
- W2008103792 cites W1985554126 @default.
- W2008103792 cites W1985830858 @default.
- W2008103792 cites W1993054439 @default.
- W2008103792 cites W1993931486 @default.
- W2008103792 cites W1997517503 @default.
- W2008103792 cites W2013286821 @default.
- W2008103792 cites W2018025346 @default.
- W2008103792 cites W2028642168 @default.
- W2008103792 cites W2033431861 @default.
- W2008103792 cites W2034646423 @default.
- W2008103792 cites W2036269704 @default.
- W2008103792 cites W2053333573 @default.
- W2008103792 cites W2057649351 @default.
- W2008103792 cites W2057861314 @default.
- W2008103792 cites W2058573814 @default.
- W2008103792 cites W2060273923 @default.
- W2008103792 cites W2061805762 @default.
- W2008103792 cites W2062360432 @default.
- W2008103792 cites W2063310244 @default.
- W2008103792 cites W2067613378 @default.
- W2008103792 cites W2076426515 @default.
- W2008103792 cites W2079372439 @default.
- W2008103792 cites W2081827254 @default.
- W2008103792 cites W2083373602 @default.
- W2008103792 cites W2086392106 @default.
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- W2008103792 cites W2128303205 @default.
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- W2008103792 cites W2411104209 @default.
- W2008103792 cites W2411360811 @default.
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- W2008103792 doi "https://doi.org/10.1159/000101709" @default.
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