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Abstract #3324

Pixel-By-Pixel Perfusion Analysis of Modic Changes by DCE-MRI

Haiyan Lv1, Heather Ting Ma1, James F. Griffith2, Alvin F.W. Li2, Yixiang Wang2, David K.W. Yeung2, Anthony Kwok2, Ping-Chung Leung2

1Department of Electronic and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China; 2Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China

This study investigated pixel-by-pixel perfusion in bone marrow by fitting the signal intensity curve using Brix model. The fitted curves were classified as pattern 1, 2 and 3 according to the terminal slope, which indicated the perfusion ability. Compared with normal subjects by t-test, Modic type I showed higher pattern 1 percentage and ROI pattern percentage; Modic type II showed a lower ROI pattern percentage; and Modic type III showed no significant difference. Normal group has a higher pattern 3 percentage than other groups. This study indicated that the perfusion ability of bone marrow varied in different Modic changes.