A5005435882- Acute Myeloid Leukemia Research
- Acute Lymphoblastic Leukemia research
- Chronic Myeloid Leukemia Treatments
- Chronic Lymphocytic Leukemia Research
- Digital Imaging for Blood Diseases
- Cell Image Analysis Techniques
- Lymphoma Diagnosis and Treatment
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Monoclonal and Polyclonal Antibodies Research
- Genomic variations and chromosomal abnormalities
- Image Processing Techniques and Applications
- Protist diversity and phylogeny
- AI in cancer detection
- Microbial Community Ecology and Physiology
- Gestational Trophoblastic Disease Studies
- Medical Image Segmentation Techniques
- Chemokine receptors and signaling
- Visual perception and processing mechanisms
- Atherosclerosis and Cardiovascular Diseases
- Congenital Heart Disease Studies
- Erythrocyte Function and Pathophysiology
- Hematopoietic Stem Cell Transplantation
- Protein purification and stability
- Glycosylation and Glycoproteins Research
- Immune Response and Inflammation
Russian Cancer Research Center NN Blokhin
1989-2025
Ministry of Health of the Russian Federation
2017
Genesis Foundation
1994-1996
Russian Academy of Sciences
1994-1996
Institute of Cytology
1992-1994
Brookdale University Hospital and Medical Center
1990
State University of New York
1990
Lund University
1988
Introduction . Over the past decades, a number of classifications and their updates have been developed for acute myeloid leukemia (AML) myelodysplastic syndromes (MDS). Myeloid neoplasms (MN) after previous therapy other diseases had different designations. The fifth edition WHO classification provides most accurate definition these neoplasmes — MN post cytotoxic (MN-pCT). problem choosing is largely related to treatment first oncological disease. Aim : present difficulties classifying...
The Catford apparatus for determining the objective visual acuity was elevated with 20 normal (20 eyes) and 40 abnormal (75 diseased patients. vision of individuals fogged neutral-density filters convex lenses. Eyes or near showed good correlation between optokinetic response acuity, but no observed in eyes poor vision. These findings, which vary from those Catford, indicate that methods testing using a nystagmoid do not appear useful general clinical purposes.
We describe a patient with acute myeloblastic leukemia (AML-M0) whose cells had t(2;11)(p21;q23). Fluorescence in situ hybridization analysis probe for MLL showed that it was split, hybridizing to both the derivative 2 and 11 chromosomes. Nineteen other patients 2p;11q translocations have been described; breakpoints 14 of these are same as case we describe. The phenotype is quite variable, having myelodysplastic syndrome which evolved AML six. Four two lymphoblastic leukemia. status has...
The article describes the use of a computer optical microscopy with multispectral camera to characterize texture blasts bone marrow patients different variants acute lymphoblastic leukemia: B- and T- types. Specific characteristics chromatin nuclei for types leukemia were obtained.
The article describes the application of computer microscopy with multi-spectral camera for comparative characteristics normal lymphocytes and lymphoid cells in follicular lymphoma. Wavelet functions are used to quantify parameters nuclei images.
The paper describes the method of recognition T - and B variants acute lymphoblastic leukemia in microscopic images blood cells. is based on use texture characteristics images. Experimental accuracy evaluation obtained from sample 38 patients (17 with T-ALL 21 B-ALL leukemia). results show possibility applying proposed approach to differential diagnosis T- B- leukemia.
The work investigated the effect of choice color space component on blood cell detection based calculation texture attributes cells nuclei in bone marrow. study identified most informative and characteristics cells, designed for components these spaces. Significance ratio was introduced to assess quality features. We offered features that have enabled divide lymphocytes from lymphoblasts. selection results data analysis.
Abstract To date, only anti‐glycophorin‐A monoclonal antibodies (MAbs) have been widely used as anti‐erythroid probes in the diagnosis of leukemias. We examined blood, bone‐marrow and lymph‐node samples from 474 patients, adults children, with different hemopoietic malignancies, using a panel MAbs including 2 directed to glycophorin‐A an antigen erythroblasts, Ag‐Eb. MAb HAE9 against human epitope Ag‐Eb has earlier shown be highly specific for immature erythroid cells. Of all 2.7%...
Bone marrow blast cells of 174 child and 188 adult patients with AML were examined characterized in terms their FAB type, immunological phenotype (102 children, 123 adults) karyotype (69 95 adults). The incidence variants proved similar children adults. In under 15 over 60, peroxidase activity myeloblasts was lower than middle-aged patients. Similar rates HLA-Dr. Thy-1, CD11a, T-cell antigens, CD19, Gly-A Eb antigens found frequency CD11b, CD38 CD10 antigen expression on higher Abnormal...
The significant increases in general Medicare outlays over the past decade have led to analysis of that portion funds devoted reimbursement physician services. While total benefit payments $60.9 billion represented 6.6% federal budget fiscal year (FY) 1984, expenditures for physicians' services totaled $14.9 billion, equivalent 24.5% and ranking second hospital costs.<sup>1,2</sup>A recent review spending patterns by Burne Schieber<sup>3</sup>of Health Care Financing Administration (HCFA)...
Method for recognizing the structure of blood and bone marrow blast nuclei using light microscopy computer data processing is proposed to improve accuracy diagnosis acute leukemia, including reducing subjectivity microscopic analysis preparations. The paper presents a model automated recognition cells during based on objective criteria classification images pathological cells, focused differential leukemia. application method allows clarify variant disease reduce time diagnostic process.
The work is devoted to one of the promising directions in field artificial intelligence - recognition blood cells and bone marrow differentiate leukocytes by type diagnosis lymphoproliferative diseases using computer microscopy. article presents a study neural networks classify type.