Schistocytosis is not always microangiopathic hemolytic anemia

Lofaro, Thomas; Bain, Barbara J.

doi:10.1002/ajh.25861

Cited by 1 publication

(1 citation statement)

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“…Schistocytes can also be seen in march hemoglobinuria, the Kasabach-Merritt phenomenon, erythroleukemia, transplant rejection, cardiac valvular hemolysis, giant hemangiomas or hemangioendothelioma, MDS, malignant hypertension, pulmonary hypertension, chemical or toxin intoxication, parasitic infection, and transfusion reactions with incompatible blood groups, and so forth. 1,4,5,40,[47][48][49][50] Hemolysis due to osmosis can occur when distilled water is used as a rinse solution during transurethral resection of the prostate. 51…”

Section: Other Diseasesmentioning

confidence: 99%

Schistocyte detection in artificial intelligence age

Zhang,

Yang,

Wang

2024

Int J Lab Hematology

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Schistocytes are fragmented red blood cells produced as a result of mechanical damage to erythrocytes, usually due to microangiopathic thrombotic diseases or mechanical factors. The early laboratory detection of schistocytes has a critical impact on the timely diagnosis, effective treatment, and positive prognosis of diseases such as thrombocytopenic purpura and hemolytic uremic syndrome. Due to the rapid development of science and technology, laboratory hematology has also advanced. The accuracy and efficiency of tests performed by fully automated hematology analyzers and fully automated morphology analyzers have been considerably improved. In recent years, substantial improvements in computing power and machine learning (ML) algorithm development have dramatically extended the limits of the potential of autonomous machines. The rapid development of machine learning and artificial intelligence (AI) has led to the iteration and upgrade of automated detection of schistocytes. However, along with significantly facilitated operation processes, AI has brought challenges. This review summarizes the progress in laboratory schistocyte detection, the relationship between schistocytes and clinical diseases, and the progress of AI in the detection of schistocytes. In addition, current challenges and possible solutions are discussed, as well as the great potential of AI techniques for schistocyte testing in peripheral blood.

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