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.