The Predictive Value of Contrast-enhanced Ultrasound Combined with Ultrasound Elastography for Microvascular Invasion of Primary Liver Cancer
Objective:To investigate the predictive value of contrast-enhanced ultrasound combined with ultrasound elastography for microvascular invasion(MVI)of primary liver cancer.Methods:The clinical data of 80 patients with primary liver cancer admitted to the Department of Hepatobiliary Surgery of our hospital from February 2021 to February 2024 were retrospectively analyzed.According to the postoperative pathological results,the patients were divided into MVI negative group(n=43)and MVI positive group(n=37).All patients underwent contrast-enhanced ultrasound and ultrasound elastography before operation,and pathological examination after opera-tion.The characteristics of contrast-enhanced ultrasound and ultrasonic elastography scores were compared between the two groups.The postoperative pathological results were used as the'gold standard'to compare the sensitivity,specificity,positive predictive value,nega-tive predictive value and accuracy of contrast-enhanced ultrasound,ultrasound elastography and their combination.Results:Compared with the MVI negative group,the MVI positive group had a higher proportion of peritumoral enhancement(P＜0.05)and a shorter clear-ance time(P＜0.05).The proportion of low enhancement in portal vein phase and delayed phase was higher(P＜0.05).With pathological diagnosis as the'gold standard',any positive result of the two examinations was judged to be positive.The two examination methods and the combination of the two were compared in pairs.The results showed that the sensitivity of the combination of the two was higher than that of the two alone(P＜0.05).The negative predictive value of the combined examination was higher than that of contrast-enhanced ultrasound(P＜0.05).Conclusion:Both contrast-enhanced ultrasound and ultrasound elastography can effectively predict MVI in patients with primary liver cancer before operation,and the diagnostic efficacy can be further improved when they are combined.
NETL
NSTL
万方数据
