Paper Info
Title
Two-dimensional matrix algorithm using detrended fluctuation analysis to distinguish Burkitt and diffuse large B-cell lymphoma.
Abstract
A detrended fluctuation analysis (DFA) method is applied to image analysis. The 2-dimensional (2D) DFA algorithms is proposed for recharacterizing images of lymph sections. Due to Burkitt lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL), there is a significant different 5-year survival rates after multiagent chemotherapy. Therefore, distinguishing the difference between BL and DLBCL is very important. In this study, eighteen BL images were classified as group A, which have one to five cytogenetic changes. Ten BL images were classified as group B, which have more than five cytogenetic changes. Both groups A and B BLs are aggressive lymphomas, which grow very fast and require more intensive chemotherapy. Finally, ten DLBCL images were classified as group C. The short-term correlation exponent alpha 1 values of DFA of groups A, B, and C were 0.370 +/- 0.033, 0.382 +/- 0.022, and 0.435 +/- 0.053, respectively. It was found that alpha 1 value of BL image was significantly lower (P < 0.05) than DLBCL. However, there is no difference between the groups A and B BLs. Hence, it can be concluded that alpha 1 value based on DFA statistics concept can clearly distinguish BL and DLBCL image.
Year
DOI
Venue
2012
10.1155/2012/947191
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Keywords
Field
DocType
image analysis,detrended fluctuation analysis
Diffuse large B-cell lymphoma,Computer science,Algorithm,Detrended fluctuation analysis,Pathology,Lymphoma
Journal
Volume
ISSN
Citations 
2012
1748-670X
1
PageRank 
References 
Authors
0.43
2
4
Name
Order
Citations
PageRank
Rong-Guan Yeh1562.84
Chung-Wu Lin230.80
Maysam F. Abbod322428.14
Jiann Shing Shieh422428.44