Shin-Lei
Peng1, Chih-Feng Chen2, Ho-Ling Liu3,
Fu-Nien Wang1
1Biomedical Engineering and
Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan,
Taiwan; 2Department of Radiology, Chang Gung Memorial Hospital
Kaohsiung Medical Center, Kaohsiung, Taiwan, Taiwan; 3Medical
Imaging and Radiological Sciences , Chang Gung University, Taoyuan, Taiwan,
Taiwan
Most
of the DCE-MRI studies analyzed averaged signal time curves from a tumor
region in a single slice. However, the averaged signal could not totally
represent the heterogeneity of the whole tumor. The goal of this study was
analyzing the histogram distribution of all initial slopes of enhancement
from pixel-by-pixel signal time curves and distinguishing the malignant tumor
from radiation necrosis in the hand and neck neoplasms. And the results show
that the histogram distribution improved the specificity of diagnosis and
provided the information about the heterogeneity of tumor compositions.