Clinical Application of Quantitative Major Imaging Features of CEUS LI-RADS

Overview

Liver cancer (LC) is the sixth most common malignant tumor and the third cause of cancer mortality in the world. According to the 2018 United States Association for the Study of Liver Diseases guidelines for the diagnosis and treatment of liver cancer, patients with HCC high-risk factors can be directly diagnosed by imaging if they have typical imaging signs, without the need for puncture pathological confirmation. Since 2011, United States the American College of Radiology (ACR) has successively launched Liver Imaging And Reporting and Data System (LI-RADS) based-on contrast-enhanced CT (CECT), contrast-enhanced MRI (CEMRI), and contrast-enhanced ultrasound (CEUS) , which have achieved good clinical diagnostic results and are constantly being updated and improved.LI-RADS provides standardized imaging diagnosis for high-risk populations and classifies each liver lesion into LR-1 to LR-5 (possibility of HCC), LR-M (probably or definitely malignant, but not HCC), LR-TIV (intravenous tumor). Although CEUS LR-5 has a high accuracy in diagnosing HCC, there is also a considerable proportion of HCC in CEUS LR-4 and CEUS LR-3. Studies have shown that CEUS LR-M contains a high proportion of HCC, the sensitivity of CEUS LR-5 in diagnosing HCC is relatively low, and the possibility of HCC cannot be ruled out if it is not classified as CEUS LR-5. Therefore, how to improve the diagnostic sensitivity and specificity is the key goal of CEUS LI-RADS. According to the CEUS LI-RADS diagnostic criteria, the key signs include arterial phase hyper-enhancement (APHE) and washout. The guidelines divide washout into an early and late washout with 60 seconds after contrast agent injection. If the lesion present with a completely "black hole" within 2 minutes, it is classified as marked washout, otherwise it is mild washout. The current judgment of the degree of washout is based on the subjective decision made by the observer subjectively, which cannot distinguish the subtle differences in the image and has a subjective dependence. The consistency among the observers is uneven, which affects the diagnostic efficiency of CEUS LI-RADS. Based on this, the purpose of this study was to quantify the key parameters of CEUS LI-RADS: Washout Onset and Washout Degree, and propose standardized and objective diagnostic criteria, to reduce the differences between observers and further improve its diagnostic sensitivity for high-risk groups of HCC.