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Indian Journal of Pathology: Research and Practice

Volume  9, Issue 2 (Part-1), May-August 2020, Pages 17-19
 

Original Article

Detection and Classification of Leukemia Based on Advia 2120i Scattergram/ PANDA Algorithm and Comparison with Flow Cytometric Diagnosis

Akshi Gupta1, Sachin Kale2, Manoj Toshniwal3, CP Bhale4

1Resident,2Professor, 4Professor and HOD, Department of Pathology, 3Consultan Department of Hematology and Bone Marrow Transplant, Mahtma Gandhi Mission Medical College and Hospital, N-6 CIDCO, Aurangabad, Maharashtra 431003, India

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DOI: http://dx.doi.org/10.21088/ijprp.2278.148X.9220.2

Abstract

Purpose: To study the ability of ADVIA 2120i, five part cell counter scattergrams by PANDA approach to accurately detect and classify leukemia and its comparison with final Flow Cytometric results. Methods: This is a retrospective analysis of 48 consecutive patients over a 6 months period from October 2018 to March 2019. The CBC was performed on ADVIA 2120i and the cell counter scatter diagrams were evaluated based on PANDA algorithm. The scatter diagram results were compared with final flow cytometric results. Results: The scatter diagram analysis showed PPV of 95% with accuracy of 79.16% (38). Out of total 48 leukemia patients, highest accuracy was observed that in CML (100%) and APML (100%) while it was 91.67% for ALL. The accuracy of the scatter diagram was more in patients with total leucocyte count of >50000 cells/cmm (86.36%) as compared to the ones with <50000 cells/cmm (76.92%). Conclusion: The timely identification and classification of leukemia is crucial for patient survival, and is essential to prompt further investigations to confirm the diagnosis and to initiate treatment as soon as possible.

Keywords: ADVIA 2120i scattergrams; PANDA algorithm; Scattergram analysis; Scattergram analysis comparison with flow cytometric results; Use of automated cell counters.
 


Corresponding Author : Akshi Gupta