FengLing Gan1, Shuohui Yang2, Feng Xing3, Zheng Qu1, Gaiying Li1, Chenyao Yang2, Rongfang Guo2, Jiling Huang2, Fang Lu2, Caixia Fu4, Xu Yan4, Kelly Gillen5, Yi Wang5, Chenghai Liu3, Songhua Zhan2, and Jianqi Li1
1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, shanghai, China, 2Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, shanghai, China, 3Department of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, shanghai, China, 4MR Collaboration NE Asia, Siemens Healthcare, shanghai, China, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States
1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, shanghai, China, 2Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, shanghai, China, 3Department of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, shanghai, China, 4MR Collaboration NE Asia, Siemens Healthcare, shanghai, China, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States
This study measured the texture features on susceptibility maps in patients with chronic liver diseases.There were significant differences between two cohorts in DifVarnc , entropy , contrast , The DifVarnc of susceptibility maps yielded the optimal performance (AUC = 0.848, P=0.002)
Table 1. The results of the ROC analyses of the texture features extracted from QSM between cohorts of significant and non-significant hepatic fibrosis patients.
Only the results with statistically significant differences between the cohorts of significant and non-significant hepatic fibrosis are shown. AUC = area under receiver operating characteristic curve, SS = sensitivity, SP = specificity. DifVarnc = difference of variance, DifEntrp = difference of entropy, AngScMom = angular second moment, InvDfMom = inverse different moment.
Fig 1. The second-order texture analysis of susceptibility maps between cohorts of
significant and non-significant hepatic fibrosis. The vertical axes are
dimensionless quantities which are calculated from the gray level co-occurrence
matrix. * indicates p < 0.05; ** indicates p < 0.01. DifVarnc = difference of variance, DifEntrp = difference of
entropy, AngScMom = angular second moment, InvDfMom = inverse different moment.