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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, U.K. and Cambridge, USA : Blackwell Science Ltd
    Histopathology 32 (1998), S. 0 
    ISSN: 1365-2559
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: We describe the first case of lymphoblastic lymphoma (LBL) of natural killer (NK) cell origin initially presenting as a pancreatic tumour, and review this type of lymphoma.〈section xml:id="abs1-2"〉〈title type="main"〉Methods and resultsA 38-year-old woman with abdominal pain was found to have a pancreatic mass. Twenty days later, she developed diffuse lung infiltrates and leucoerythroblastosis of the peripheral blood, and her bone marrow was diffusely infiltrated with blasts. The blasts were positive for CD56, CD16 and P-glycoprotein, but lacked cytoplasmic azurophilic granules, T, B and myeloid cell markers on the cell surface, rearrangement of the genes for T-cell receptor and immunoglobulin, and the Epstein–Barr virus (EBV) genome. The diagnosis was LBL of NK cell origin. She received aggressive therapy, but died of the lymphoma. In contrast to ordinary NK-cell lymphoma, this case and reported cases of LBL of NK-cell origin showed the following common characteristics. The tumour cells often lack cell surface CD2, cytoplasmic CD3, cytoplasmic azurophilic granules, and EBV genome. The prognosis was extremely poor.〈section xml:id="abs1-3"〉〈title type="main"〉ConclusionsLBL of NK-cell origin should be included in the differential diagnosis of pancreatic tumours. To fully characterize this type of lymphoma, further cases must be evaluated.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-0584
    Keywords: Minimally differentiated acute myeloid leukemia ; Chemotherapy
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary With the objective of establishing the optimal therapy for minimally differentiated acute myeloid leukemia (AML-M0), we examined the therapeutic results of five AML-M0 cases and reviewed the literature. In a series of 63 patients with newly diagnosed acute leukemia who were admitted to the Main Hospital of Nippon Medical School, five patients fit the criteria for AML-M0: negative myeloperoxidase (MPO) and Sudan black B reaction by light microscopy, negative for B- and T-lineage markers, and positive for myeloid markers. They were treated by means of AdVP [adriamycin, vincristine, and prednisolone (PSL)] therapy and/or BHAC-DMP [behenoylcytosine arabinoside (BHAC), daunorubicin (DNR), 6-mercaptopurine (6-MP), and PSL] therapy. The AdVP therapy was unsuccessful in the two patients who received it, while a complete remission (CR) was achieved with the BHAC-DMP therapy in three of four patients. Although one patient treated with BHAC-DMP did not achieve CR, his blasts were apparently sensitive to the therapy. In assessable cases in the literature where leukemic blasts were MPO-negative, myeloid marker-positive and B- and T-lineage marker-negative, CR was achieved in 54.5% and 44.4% with anti-acute myeloid leukemia therapy and anti-acute lymphocytic leukemia therapy, respectively. Five cases in the literature were treated with a chemotherapeutic regimen containing BHAC [or cytosine arabinoside (Ara-C)], DNR, and 6-MP, and all achieved CR. The regimen containing BHAC (or Ara-C), DNR, and 6-MP may be useful as induction chemotherapy for AML-MO.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-0584
    Keywords: G-CSF ; Myelodysplastic syndrome ; Thrombopoiesis ; CFU-Meg ; BFU-E
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract We report a patient with refractory anemia with excess blasts who showed a lineage-unrestricted hematologic response to granulocyte colony-stimulating factor (G-CSF). After 17 months of a stable disease state, the patient developed pneumonia, progression of cytopenia, and reduced cellularity and blast mass in the bone marrow. He was given G-CSF to overcome the pneumonia. Not only the neutrophil count, but also the platelet count increased soon after initiation of the G-CSF therapy; both counts became normal on the fifth day of the G-CSF therapy. Additionally, the anemia improved gradually. The neutrophil and platelet counts were maintained in the normal range for 3 months after cessation of the G-CSF. In vitro studies showed that G-CSF alone stimulated megakaryocyte colony formation from bone marrow mononuclear cells (BMMNC), and accessory cells in the BMMNC were necessary for expression of this G-CSF-induced in vitro megakaryocytopoiesis. These results suggest that, in coordination with accessory cells, G-CSF stimulated megakaryocytopoiesis in the patient. This case provides valuable information for understanding the mechanisms of a lineage-unrestricted hematologic response to G-CSF, which is very rarely observed in MDS.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1432-0584
    Keywords: Key words Autoimmune hemolytic anemia ; Acute myelocytic leukemia ; Antiglobulin test
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  Autoantibody against erythrocytes has occasionally been observed in patients with de novo acute myelocytic leukemia (AML). However, it is not clear whether this autoantibody in AML patients induces frank hemolysis (autoimmune hemolytic anemia, AIHA), as seen in lymphoid neoplasms. We present two de novo AML patients who showed hemolysis due to antiglobulin test-positive and test-negative AIHA, respectively. AIHA should be considered as one cause of anemia in de novo AML patients, and blood transfusions should be given carefully in such cases to avoid harmful hemolysis.
    Type of Medium: Electronic Resource
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  • 5
    ISSN: 1432-0584
    Keywords: Key words G-CSF ; Myelodysplastic syndrome ; Thrombopoiesis ; CFU-Meg ; BFU-E
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  We report a patient with refractory anemia with excess blasts who showed a lineage-unrestricted hematologic response to granulocyte colony-stimulating factor (G-CSF). After 17 months of a stable disease state, the patient developed pneumonia, progression of cytopenia, and reduced cellularity and blast mass in the bone marrow. He was given G-CSF to overcome the pneumonia. Not only the neutrophil count, but also the platelet count increased soon after initiation of the G-CSF therapy; both counts became normal on the fifth day of the G-CSF therapy. Additionally, the anemia improved gradually. The neutrophil and platelet counts were maintained in the normal range for 3 months after cessation of the G-CSF. In vitro studies showed that G-CSF alone stimulated megakaryocyte colony formation from bone marrow mononuclear cells (BMMNC), and accessory cells in the BMMNC were necessary for expression of this G-CSF-induced in vitro megakaryocytopoiesis. These results suggest that, in coordination with accessory cells, G-CSF stimulated megakaryocytopoiesis in the patient. This case provides valuable information for understanding the mechanisms of a lineage-unrestricted hematologic response to G-CSF, which is very rarely observed in MDS.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    User modeling and user adapted interaction 8 (1998), S. 5-47 
    ISSN: 1573-1391
    Keywords: Plan recognition ; Bayesian Belief Networks ; language learning ; abstraction ; performance evaluation.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users' plans and goals. The application domain is a Multi-User Dungeon adventure game with thousands of possible actions and locations. We propose several network structures which represent the relations in the domain to varying extents, and compare their predictive power for predicting a user's current goal, next action and next location. The conditional probability distributions for each network are learned during a training phase, which dynamically builds these probabilities from observations of user behaviour. This approach allows the use of incomplete, sparse and noisy data during both training and testing. We then apply simple abstraction and learning techniques in order to speed up the performance of the most promising dynamic belief networks without a significant change in the accuracy of goal predictions. Our experimental results in the application domain show a high degree of predictive accuracy. This indicates that dynamic belief networks in general show promise for predicting a variety of behaviours in domains which have similar features to those of our domain, while reduced models, obtained by means of learning and abstraction, show promise for efficient goal prediction in such domains.
    Type of Medium: Electronic Resource
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