Automatic B cell lymphoma detection using flow cytometry data

BMC Genomics

Research

Ming-Chih Shih¹  Shou-Hsuan Stephen Huang¹  Rachel Donohue²  Youli Zu²  Chung-Che Chang³ 

[1] Department of Computer Science, University of Houston, Houston, Texas, USA;Department of Pathology and Genomic Medicine, The Methodist Hospital, Houston, Texas, USA;Department of Pathology, University of Central Florida, Orlando, Florida, USA;

关键词: Chronic Lymphocytic Leukemia;    Healthy Donor;    Follicular Lymphoma;    Mantle Cell Lymphoma;    Chronic Lymphocytic Leukemia Patient;   

DOI  :  10.1186/1471-2164-14-S7-S1

来源: Springer

【 摘 要 】

BackgroundFlow cytometry has been widely used for the diagnosis of various hematopoietic diseases. Although there have been advances in the number of biomarkers that can be analyzed simultaneously and technologies that enable fast performance, the diagnostic data are still interpreted by a manual gating strategy. The process is labor-intensive, time-consuming, and subject to human error.ResultsWe used 80 sets of flow cytometry data from 44 healthy donors, 21 patients with chronic lymphocytic leukemia (CLL), and 15 patients with follicular lymphoma (FL). Approximately 15% of data from each group were used to build the profiles. Our approach was able to successfully identify 36/37 healthy donor cases, 18/18 CLL cases, and 12/13 FL cases.ConclusionsThis proof-of-concept study demonstrated that an automated diagnosis of CLL and FL can be obtained by examining the cell capture rates of a test case using the computational method based on the multi-profile detection algorithm. The testing phase of our system is efficient and can facilitate diagnosis of B-lymphocyte neoplasms.

【 授权许可】

Unknown   
© Shih et al; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.