Volume 43, Issue 4 pp. 853-858
ORIGINAL ARTICLE

Differential diagnosis of thalassemia and iron deficiency anemia using the CellaVision Advanced Red Blood Cell software

Fei Wang

Fei Wang

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Search for more papers by this author
Geng Wang

Geng Wang

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Search for more papers by this author
Zhuo Yang

Zhuo Yang

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Search for more papers by this author
Xin Wang

Xin Wang

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Search for more papers by this author
Dan Liu

Dan Liu

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Search for more papers by this author
Nanyang Wan

Nanyang Wan

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Department of Laboratory Medicine, Xinyang Central Hospital, Xinyang, China

Search for more papers by this author
Wei Wu

Corresponding Author

Wei Wu

Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

Correspondence

Wei Wu, Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.

Email: [email protected]

Search for more papers by this author
First published: 20 December 2020
Citations: 2
Wang F and Wang G contributed equally to this work.
Funding information This work was supported by the National Natural Science Foundation of China (No.81702070 & No.81401725) and CAMS Innovation Fund for Medical Sciences (CIFMS) (No.2018-12M-AI-002).

Abstract

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.

CONFLICT OF INTERESTS

The authors declare no conflict of interest.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no new datasets were created in this study.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.