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Title:: Application of basis material decomposition technique with spectral CT in quantitatively evaluating the stage of hepatitis B liver fibrosis

Author(s):: LIU Xianwang1; 2; 3; 4; LIU Hong1; 2; 3; 4; DENG Liangna1; 2; 3; 4; LI Shenglin1; 2; 3; 4; XUE Caiqiang1; 2; 3; 4; DENG Juan1; 2; 3; 4; SUN Qiu1; 2; 3; 4; ZHOU Junlin1; 2; 3; 4; 1. Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China 2. The Second Clinical School of Lanzhou University, Lanzhou 730030, China 3. Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China 4. Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China

Keywords:: Keywords: spectral CT basis material decomposition hepatitis B liver fibrosis

Abstract:: Abstract: Objective To explore the application value of basis material decomposition technique with spectral CT in the quantitative assessment of hepatitis B liver fibrosis stage. Methods Thirty-three patients with hepatitis B liver fibrosis were enrolled as experimental group, and 18 healthy subjects as control group. The iodine (water) concentration of liver parenchyma and abdominal aorta in the same layer of each patient was measured on the iodine (water) basis material map using basis material decomposition technique with spectral CT, and then the normalized iodine concentration (NIC) of the liver was calculated. Taking the pathological results of liver biopsy as the gold standard, one-way analysis of variance and least significant difference were used to compare the differences in NIC between different stages of hepatitis B liver fibrosis. Spearman correlation analysis was used to evaluate the correlation between hepatitis B liver fibrosis stage and NIC. Meanwhile, ROC curve was drawn to analyze the value of NIC in evaluating different stages of hepatitis B liver fibrosis. Results There were differences in NIC among different stages of hepatitis B liver fibrosis (F=36.889, P<0.001), and NIC had a negative correlation with different stages of hepatitis B liver fibrosis (r=-0.847, P<0.001). The AUC, sensitivity, specificity, positive predictive value, negative predictive value and accuracy of NIC in differentiating between S0< and ≥S1, S1< and ≥S2,