Literature DB >> 23480230

Red blood cell morphology.

J Ford1.   

Abstract

The foundation of laboratory hematologic diagnosis is the complete blood count and review of the peripheral smear. In patients with anemia, the peripheral smear permits interpretation of diagnostically significant red blood cell (RBC) findings. These include assessment of RBC shape, size, color, inclusions, and arrangement. Abnormalities of RBC shape and other RBC features can provide key information in establishing a differential diagnosis. In patients with microcytic anemia, RBC morphology can increase or decrease the diagnostic likelihood of thalassemia. In normocytic anemias, morphology can assist in differentiating among blood loss, marrow failure, and hemolysis-and in hemolysis, RBC findings can suggest specific etiologies. In macrocytic anemias, RBC morphology can help guide the diagnostic considerations to either megaloblastic or nonmegaloblastic causes. Like all laboratory tests, RBC morphologies must be interpreted with caution, particularly in infants and children. When used properly, RBC morphology can be a key tool for laboratory hematology professionals to recommend appropriate clinical and laboratory follow-up and to select the best tests for definitive diagnosis.
© 2013 Blackwell Publishing Ltd.

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Year:  2013        PMID: 23480230     DOI: 10.1111/ijlh.12082

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  37 in total

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2.  Automated screening of sickle cells using a smartphone-based microscope and deep learning.

Authors:  Kevin de Haan; Hatice Ceylan Koydemir; Yair Rivenson; Derek Tseng; Elizabeth Van Dyne; Lissette Bakic; Doruk Karinca; Kyle Liang; Megha Ilango; Esin Gumustekin; Aydogan Ozcan
Journal:  NPJ Digit Med       Date:  2020-05-22

3.  Validation rules for blood smear revision after automated hematological testing using Mindray CAL-8000.

Authors:  Sabrina Buoro; Tommaso Mecca; Michela Seghezzi; Barbara Manenti; Giovanna Azzarà; Cosimo Ottomano; Giuseppe Lippi
Journal:  J Clin Lab Anal       Date:  2016-10-06       Impact factor: 2.352

4.  Hematological indicators in pygmy wood mouse Apodemus uralensis (Muridae, Rodentia) populations as markers of the environmental radiation exposure: East Urals radioactive trace (Russia).

Authors:  Natal'ya A Orekhova
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-29       Impact factor: 4.223

5.  Red Cell Volume Distribution Width as Another Biomarker.

Authors:  Artemio García-Escobar; Juan Manuel Grande Ingelmo
Journal:  Card Fail Rev       Date:  2019-11-04

6.  Folate-targeted multifunctional amino acid-chitosan nanoparticles for improved cancer therapy.

Authors:  Vítor M Gaspar; Elisabete C Costa; João A Queiroz; Chantal Pichon; Fani Sousa; Ilídio J Correia
Journal:  Pharm Res       Date:  2014-09-04       Impact factor: 4.200

7.  Frequency sweep rate dependence on the dielectrophoretic response of polystyrene beads and red blood cells.

Authors:  T N G Adams; K M Leonard; A R Minerick
Journal:  Biomicrofluidics       Date:  2013-12-10       Impact factor: 2.800

Review 8.  Biophysical phenotyping of mesenchymal stem cells along the osteogenic differentiation pathway.

Authors:  Paola Gavazzo; Federica Viti; Hannah Donnelly; Mariana Azevedo Gonzalez Oliva; Manuel Salmeron-Sanchez; Matthew J Dalby; Massimo Vassalli
Journal:  Cell Biol Toxicol       Date:  2021-01-09       Impact factor: 6.691

9.  Hematological changes in neonatal mice with phlebotomy-induced anemia.

Authors:  Yerin Chung; Suneetha Desiraju; Kopperuncholan Namachivayam; Pierre Guzman; Ling He; Krishnan MohanKumar
Journal:  Pediatr Res       Date:  2022-03-23       Impact factor: 3.953

10.  Why and how validate criteria by manual smear review to improve laboratory productivity?

Authors:  Helena Zerlotti Wolf Grotto
Journal:  Rev Bras Hematol Hemoter       Date:  2014-11-20
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