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HAN Chengru

( Department of Medical lmaging, the First Affliated Hospital of Henan University, Kaifeng 475200, China)

Objective To explore the diagnostie value of eontrast-enhanced ultrasound liver imagingAbstractreporting and data system ( CEUS LI-RADS) combined with artificial intelligence for hepatocellularcarcinoma. Methods A total of 88 patients with hepatocellular carcinoma were selected and underwenteontrast-enhanced ultrasound ( CEUS) examination after admission, CEUS LI-RADS was used to evaluatethe malignaney of hepatocellular carcinoma and artificial intelligence was used for diagnosis based on CEUSresults. The individual and joint diagnostic results of CEUS LI-RADS and artificial intelligence for hepatocellular carcinoma were compared, and the diagnostic value of CEUS LI-RADS for differentpathological characteristics of hepatocellular carcinoma were analyzed. Results The combined diagnosis ofCEUS LI-RADS and artificial intelligence has higher sensitivity and higher accuracy for the diagnosis ofhepatocellular carcinoma than the single protocol diagnosis, with lower missed diagnosis rate, anddiffererce was statistically significant ( P<0.05 ). There were significant differences in CEUS LI-RADSclassification among LR-1 ~LR-3, LR-4 and LR-5 in patients with liver cell tumors <5 em positive( hepatocellular carcinoma)and negative( benign stem cell tumor ), and there was a significant differencebetween LR-1~LR-3 and LR-5 in patients with liver cell tumors >5 cm positive and negative ( P<0.05 ) ; there were significant differences in CEUS LI-RADS classification among LR-3, LR-4 and LR-5in patients with hepatocellular carcinoma of different degrees of differentiation ( P<0.05 ). Conclusion Thecombination of CEUS LI-RADS and artificial intelligence assisted decision model can be used in thediagnosis of hepatocellular carcinoma with higher accuracy and sensitivity, and can improve the diagnosticefficiency and lower the rate of missed diagnosis.Keywords : contrast-enhanced ultrasound liver imaging reporting and data system; artilicial intelligenceassisted decision-making: hepatocellular carcinoma; diagnostic value

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