51. Converting Hematology Based Data into an Inferential Interpretation
- Author
-
Larry H. Bernstein, James Rucinski, Ronald R. Coifman, and Gil David
- Subjects
medicine.medical_specialty ,Pathology ,Clumped platelets ,Hematology ,medicine.diagnostic_test ,Immature Granulocyte ,Computer science ,Large Platelets ,Hematocrit ,computer.software_genre ,Blood forming organ ,Broad spectrum ,Internal medicine ,medicine ,Platelet ,Data mining ,computer - Abstract
The most commonly ordered test used for managing patients worldwide is the hemogram, with or without the review of a peripheral smear. The measured features in a standard hemogram has undergone modification of the over the last 30 years with an expansion to the panel of tests. The initial hemogram was the hemoglobin, hematocrit, and total white cell count, to which platelet count, lymphocytes and neutrophils were added as the necessary vital dye stains and the resolution were substantially improved. The revolutionary Coulter principle used impedance of the cells passing through a narrow window. Newer instruments may used both impedance and/or flow cytometric principles. Yet the accurate identification of reticulocytes, measurement of cellular hemoglobin, measurement of immature granulocytes, lymphoid or myeloblasts, identification of clumped platelets interfering with identification of large platelets were all challenges to overcome. The hemogram provides a vital window to visualize the cellular changes associated with the production, release or suppression of the formed elements from the blood forming organ to the circulation. In this chapter, we shall not be concerned with the specific use of the hemogram in assessing disorders to the coagulation pathways or its use in detection of hematological and non-hematological tumors. Rather in the hemogram we can view data reflective of a broad spectrum medical conditions affecting most patients presenting to a physician who are then referred to a specialist for example in hematology-oncology or infectious diseases.
- Published
- 2012