Comparative Analysis of Erythrocyte Morphology in Hematological Malignancies and Anemia

Objective: This study aimed to investigate erythrocyte morphological alterations in hematological malignancies, with particular emphasis on structural differences among leukemia subtypes and anemia. Materials and Methods: Peripheral blood samples were obtained from 60 patients, including individuals with anemia (n = 10), acute lymphoblastic leukemia (ALL, n = 15), acute myeloid leukemia (AML, n = 15), chronic lymphocytic leukemia (CLL, n = 15), and chronic myeloid leukemia (CML, n = 5), as well as 10 healthy controls. Erythrocyte morphology was evaluated using light microscopy and scanning electron microscopy. Morphological abnormalities, including loss of biconcavity, poikilocytosis, echinocyte transformation, burr cells, and stomatocytes, were assessed in accordance with International Council for Standardization in Haematology (ICSH)-based morphological definitions. Results: Distinct erythrocyte morphological alterations were observed across disease groups. AML cases demonstrated pronounced central depression-like or perforation-like structures and hypochromasia. Lymphoid malignancies, particularly ALL and CLL, exhibited increased echinocyte formation, whereas chronic leukemias showed a higher prevalence of stomatocytes and cup-shaped cells. Quantitative scoring indicated that loss of biconcavity was most prominent in anemia, followed by AML, CML, ALL, and CLL. Poikilocytosis was most frequent in anemia, followed by ALL, CLL, AML, and CML. Conclusions: The findings indicate that erythrocyte shape alterations are more heterogeneous and prominent in lymphoid leukemias, whereas myeloid leukemias exhibit distinct ultrastructural membrane abnormalities. Although studies focusing on erythrocyte morphology in leukemia remain limited, the present results provide a foundational morphological reference dataset that may support the development and validation of artificial intelligence-based diagnostic approaches. Further studies involving larger cohorts and expanded imaging analyses are warranted to improve diagnostic accuracy and translational applicability.