International journal of laboratory hematology · 2020
Differential diagnosis of thalassemia and iron deficiency anemia using the CellaVision Advanced Red Blood Cell software.
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Wang Fei, Wang Geng, Yang Zhuo, Wang Xin, Liu Dan, Wan Nanyang, Wu Wei
Аннотация
INTRODUCTION: Red blood cells (RBCs) in patients with thalassemia and iron deficiency anemia (IDA) exhibit different patterns of morphological changes. However, manual quantitative analysis of the morphological changes in the RBCs is time-consuming and subjective, limiting its use in differential diagnosis. The aim of this study was to evaluate the CellaVision Advanced RBC software as a prescreening tool for differential diagnosis of thalassemia and IDA.
METHODS: The study cohort consisted of 54 thalassemia and 46 IDA cases in the training group and 36 thalassemia and 31 IDA patients in the validation group. The CellaVision DM96 Advanced RBC software was used to analyze the RBC morphology.
RESULTS AND CONCLUSION: Specific patterns of quantitative changes in RBC shapes were found in thalassemia and IDA patients. As a single parameter, target cell was the best morphological cell type to distinguish thalassemia from IDA, with an area under the curve (AUC) of 0.79, followed by hypochromatic cells with an AUC of 0.70. Combination of target and hypochromatic cells expressed as a ratio of the percentage of target cells to percentage of hypochromatic cells (T/H ratio) presented better differential diagnostic ability with an AUC of 0.88. A cutoff value of 1.755 for T/H ratio showed a sensitivity and specificity of 80.43% and 81.48% in the training group and 88.89% and 80.65% in the validation group, respectively. Assessment of the T/H ratio using the CellaVision Advanced RBC software represents a relatively simple and economical screening procedure for diagnostic testing of thalassemia and IDA.
METHODS: The study cohort consisted of 54 thalassemia and 46 IDA cases in the training group and 36 thalassemia and 31 IDA patients in the validation group. The CellaVision DM96 Advanced RBC software was used to analyze the RBC morphology.
RESULTS AND CONCLUSION: Specific patterns of quantitative changes in RBC shapes were found in thalassemia and IDA patients. As a single parameter, target cell was the best morphological cell type to distinguish thalassemia from IDA, with an area under the curve (AUC) of 0.79, followed by hypochromatic cells with an AUC of 0.70. Combination of target and hypochromatic cells expressed as a ratio of the percentage of target cells to percentage of hypochromatic cells (T/H ratio) presented better differential diagnostic ability with an AUC of 0.88. A cutoff value of 1.755 for T/H ratio showed a sensitivity and specificity of 80.43% and 81.48% in the training group and 88.89% and 80.65% in the validation group, respectively. Assessment of the T/H ratio using the CellaVision Advanced RBC software represents a relatively simple and economical screening procedure for diagnostic testing of thalassemia and IDA.