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American Family Physician Dec 2015An elevated white blood cell count has many potential etiologies, including malignant and nonmalignant causes. It is important to use age- and pregnancy-specific normal...
An elevated white blood cell count has many potential etiologies, including malignant and nonmalignant causes. It is important to use age- and pregnancy-specific normal ranges for the white blood cell count. A repeat complete blood count with peripheral smear may provide helpful information, such as types and maturity of white blood cells, uniformity of white blood cells, and toxic granulations. The leukocyte differential may show eosinophilia in parasitic or allergic conditions, or it may reveal lymphocytosis in childhood viral illnesses. Leukocytosis is a common sign of infection, particularly bacterial, and should prompt physicians to identify other signs and symptoms of infection. The peripheral white blood cell count can double within hours after certain stimuli because of the large bone marrow storage and intravascularly marginated pools of neutrophils. Stressors capable of causing an acute leukocytosis include surgery, exercise, trauma, and emotional stress. Other nonmalignant etiologies of leukocytosis include certain medications, asplenia, smoking, obesity, and chronic inflammatory conditions. Symptoms suggestive of a hematologic malignancy include fever, weight loss, bruising, or fatigue. If malignancy cannot be excluded or another more likely cause is not suspected, referral to a hematologist/oncologist is indicated.
Topics: Education, Medical, Continuing; Humans; Leukocyte Count; Leukocytes; Leukocytosis; Practice Guidelines as Topic
PubMed: 26760415
DOI: No ID Found -
Acta Cytologica 2021
Topics: COVID-19; Host-Pathogen Interactions; Humans; Killer Cells, Natural; SARS-CoV-2; T-Lymphocytes, Helper-Inducer
PubMed: 32799199
DOI: 10.1159/000510110 -
Clinical Microbiology and Infection :... Jul 2018
Topics: Humans; Lymphoma, Large B-Cell, Diffuse; Male; Methicillin-Resistant Staphylococcus aureus; Middle Aged; Neutrophils; Phagocytosis; Staphylococcal Infections
PubMed: 29649607
DOI: 10.1016/j.cmi.2018.03.035 -
Blood Cancer Journal Dec 2021Primary plasma cell leukemia (PCL) has a consistently ominous prognosis, even after progress in the last decades. PCL deserves a prompt identification to start the most...
Primary plasma cell leukemia (PCL) has a consistently ominous prognosis, even after progress in the last decades. PCL deserves a prompt identification to start the most effective treatment for this ultra-high-risk disease. The aim of this position paper is to revisit the diagnosis of PCL according to the presence of circulating plasma cells in patients otherwise meeting diagnostic criteria of multiple myeloma. We could identify two retrospective series where the question about what number of circulating plasma cells in peripheral blood should be used for defining PCL. The presence of ≥5% circulating plasma cells in patients with MM had a similar adverse prognostic impact as the previously defined PCL. Therefore, PCL should be defined by the presence of 5% or more circulating plasma cells in peripheral blood smears in patients otherwise diagnosed with symptomatic multiple myeloma.
Topics: Aged; Female; Humans; Leukemia, Plasma Cell; Male; Multiple Myeloma; Plasma Cells; Prognosis; Retrospective Studies
PubMed: 34857730
DOI: 10.1038/s41408-021-00587-0 -
International Journal of Laboratory... May 2018Morphological review of the peripheral blood smear is still a crucial diagnostic aid as it provides relevant information related to the diagnosis and is important for... (Review)
Review
INTRODUCTION
Morphological review of the peripheral blood smear is still a crucial diagnostic aid as it provides relevant information related to the diagnosis and is important for selection of additional techniques. Nevertheless, the distinctive cytological characteristics of the blood cells are subjective and influenced by the reviewer's interpretation and, because of that, translating subjective morphological examination into objective parameters is a challenge.
METHODS
The use of digital microscopy systems has been extended in the clinical laboratories. As automatic analyzers have some limitations for abnormal or neoplastic cell detection, it is interesting to identify quantitative features through digital image analysis for morphological characteristics of different cells.
RESULT
Three main classes of features are used as follows: geometric, color, and texture. Geometric parameters (nucleus/cytoplasmic ratio, cellular area, nucleus perimeter, cytoplasmic profile, RBC proximity, and others) are familiar to pathologists, as they are related to the visual cell patterns. Different color spaces can be used to investigate the rich amount of information that color may offer to describe abnormal lymphoid or blast cells. Texture is related to spatial patterns of color or intensities, which can be visually detected and quantitatively represented using statistical tools.
CONCLUSION
This study reviews current and new quantitative features, which can contribute to optimize morphology through blood cell digital image processing techniques.
Topics: Blood Cells; Cell Shape; Color; Humans; Image Processing, Computer-Assisted; Microscopy
PubMed: 29741256
DOI: 10.1111/ijlh.12832 -
Annals of Ibadan Postgraduate Medicine Dec 2014The peripheral blood film (PBF) is a laboratory work-up that involves cytology of peripheral blood cells smeared on a slide. As basic as it is, PBF is invaluable in the... (Review)
Review
The peripheral blood film (PBF) is a laboratory work-up that involves cytology of peripheral blood cells smeared on a slide. As basic as it is, PBF is invaluable in the characterization of various clinical diseases. This article highlights the basic science and art behind the PBF. It expounds its laboratory applications, clinical indications and interpretations in the light of various clinical diseases. Despite advances in haematology automation and application of molecular techniques, the PBF has remained a very important diagnostic test to the haematologist. A good quality smear, thorough examination and proper interpretation in line with patient's clinical state should be ensured by the haemato-pathologist. Clinicians should be abreast with its clinical utility and proper application of the reports in the management of patients.
PubMed: 25960697
DOI: No ID Found -
Medical & Biological Engineering &... Sep 2022Anemia is a blood disorder which is caused due to inadequate red blood cells and hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in... (Review)
Review
Anemia is a blood disorder which is caused due to inadequate red blood cells and hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in pregnant women and infants. According to the survey conducted by the World Health Organization (WHO) (McLean et al., Public Health Nutr 12(4):444-454, 2009), anemia affects 1.62 billion people constituting 24.8% of the population and is considered the world's second leading cause of illness. The Peripheral Blood Smear (PBS) examination plays an important role in evaluating hematological disorders. Anemia is diagnosed using PBS. Being the most powerful analytical tool, manual analysis approach is still in use even though it is tedious, prone to errors, time-consuming and requires qualified laboratorians. It is evident that there is a need for an inexpensive, automatic and robust technique to detect RBC disorders from PBS. Automation of PBS analysis is very active field of research that motivated many research groups to develop methods using image processing. In this paper, we present a review of the methods used to analyze the characteristics of RBC from PBS images using image processing techniques. We have categorized these methods into three groups based on approaches such as RBC segmentation, RBC classification and detection of anemia, and classification of anemia. The outcome of this review has been presented as a list of observations.
Topics: Anemia; Erythrocyte Count; Erythrocytes; Female; Hematologic Tests; Humans; Image Processing, Computer-Assisted; Pregnancy
PubMed: 35838854
DOI: 10.1007/s11517-022-02614-z -
BME Frontiers 2022. We present a fully automated hematological analysis framework based on single-channel (single-wavelength), label-free deep-ultraviolet (UV) microscopy that serves as a...
. We present a fully automated hematological analysis framework based on single-channel (single-wavelength), label-free deep-ultraviolet (UV) microscopy that serves as a fast, cost-effective alternative to conventional hematology analyzers. . Hematological analysis is essential for the diagnosis and monitoring of several diseases but requires complex systems operated by trained personnel, costly chemical reagents, and lengthy protocols. Label-free techniques eliminate the need for staining or additional preprocessing and can lead to faster analysis and a simpler workflow. In this work, we leverage the unique capabilities of deep-UV microscopy as a label-free, molecular imaging technique to develop a deep learning-based pipeline that enables virtual staining, segmentation, classification, and counting of white blood cells (WBCs) in single-channel images of peripheral blood smears. . We train independent deep networks to virtually stain and segment grayscale images of smears. The segmented images are then used to train a classifier to yield a quantitative five-part WBC differential. Our virtual staining scheme accurately recapitulates the appearance of cells under conventional Giemsa staining, the gold standard in hematology. The trained cellular and nuclear segmentation networks achieve high accuracy, and the classifier can achieve a quantitative five-part differential on unseen test data. . This proposed automated hematology analysis framework could greatly simplify and improve current complete blood count and blood smear analysis and lead to the development of a simple, fast, and low-cost, point-of-care hematology analyzer.
PubMed: 37850166
DOI: 10.34133/2022/9853606 -
Proceedings of the National Academy of... Jun 2020Hematological analysis, via a complete blood count (CBC) and microscopy, is critical for screening, diagnosing, and monitoring blood conditions and diseases but requires...
Hematological analysis, via a complete blood count (CBC) and microscopy, is critical for screening, diagnosing, and monitoring blood conditions and diseases but requires complex equipment, multiple chemical reagents, laborious system calibration and procedures, and highly trained personnel for operation. Here we introduce a hematological assay based on label-free molecular imaging with deep-ultraviolet microscopy that can provide fast quantitative information of key hematological parameters to facilitate and improve hematological analysis. We demonstrate that this label-free approach yields 1) a quantitative five-part white blood cell differential, 2) quantitative red blood cell and hemoglobin characterization, 3) clear identification of platelets, and 4) detailed subcellular morphology. Analysis of tens of thousands of live cells is achieved in minutes without any sample preparation. Finally, we introduce a pseudocolorization scheme that accurately recapitulates the appearance of cells under conventional staining protocols for microscopic analysis of blood smears and bone marrow aspirates. Diagnostic efficacy is evaluated by a panel of hematologists performing a blind analysis of blood smears from healthy donors and thrombocytopenic and sickle cell disease patients. This work has significant implications toward simplifying and improving CBC and blood smear analysis, which is currently performed manually via bright-field microscopy, and toward the development of a low-cost, easy-to-use, and fast hematological analyzer as a point-of-care device and for low-resource settings.
Topics: Blood Cell Count; Blood Cells; Equipment Design; Humans; Microscopy, Ultraviolet; Molecular Imaging; Point-of-Care Systems
PubMed: 32561645
DOI: 10.1073/pnas.2001404117